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Seismic hazard for the Cusco city (Perú)
1
through probabilistic analysis of historical
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and instrumental records of earthquakes
3
Determining Cusco as a independent seismogenic region
4
Manuel Abarca
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February 2, 2021
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Cusco city (and neighbourhoods, designate as region) is by itself a seismogenic
7
zone, independent of Benioff zone. Historical seismic records shows earthquakes
8
as great as 7.41 mw strike the city in the past. Being a UNESCO World Her-
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itage centre, the city needs clear rules for design, building and preservation of
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civil structures under seismic event conditions. This rules have to be based in a
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Seismic Hazard Analysis, specific for the city. The classical Probabilistic Seis-
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mic Hazard Analysis (PSHA) founded on a Poisson model it is not reliable for
13
Cusco, because seismic data don’t fit the assumptions made by a Poisson pro-
14
cess. We follow here another probabilistic way to determine some seismic hazard
15
parameters, considering frequentist theory of probabilities. The Bayes theorem
16
was applied to find the maximum magnitude earthquake for different periods of
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time. Peak Ground Accelerations (PGA) were determined through a well condi-
18
1
tioned equation. We made also an analysis of tectonic stresses sources founding a
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new one. A quase-vertical contact between two different densities zones in upper
20
mantle is origin of deviatoric stress. Additionally, macroseimic information is
21
used to calculate an attenuation of intensities law.
22
JUSTIFICATION
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Probabilistic Seismic Hazard Analysis (PSHA) were developed for the entire South America
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[19] [24] or for Peru as country [1] [25], but none city of Peru has been the object of a specific
25
PSHA. Previous PSHA (based in a Poisson model) studies found a probable peak ground ac-
26
celeration (PGA) of 0.59 gn (gravities) in 100 years for the Cusco region; but, macroseismic
27
testimonials and in-situ studies after a big earthquake shows evidence of larger accelerations.
28
In the 1986 earthquake some stones (more than 100 kg weight) collided between them over a
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flat surface in the epicentral area, this is possible just if the earth gravity force is surpassed
30
[14] (personal communication of Dr. Huamán). Another point of disagreement with Pois-
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sonian PSHA is the zoning and distances to seismic sources, [1] and [25] uses earthquakes
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as far as 300 km from Cusco city to estimate PGA; but an intensities-magnitudes-distances
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relationship found in section An attenuation law for intensities says what an earthquake at
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300 km of epicentral distance needs to be 10.2 magnitude (mw) to reach the city with an
35
intensity of VIII (MSK). This is unreliable. Still, the acceleration would be 0.154 gn, using
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the acceleration-intensities relationship of [7] (equation 5 in [7] ) , far below of predicted by
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PSHA studies. Then the zoning used in previous PSHA uses data of earthquakes too far to
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become a dangerous source of seismic waves for the city; by other side mixes earthquakes of
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intraplate type with seismicity related to Benioff zone, we will show that subduction earth-
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quakes are less relevant in hazard terms to Cusco city.
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However, prior to beginning a seismological research , one basic question about the ne-
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2
cessity to study a PSHA study in a city as Cusco has to be answered. The answer has two
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ways of analysis, one referring to monetary, historical and cultural values of goods resting
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on the city ; another way is respect to seismic sources of possible damage over those goods.
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Some of the architectural and artistic goods resting on the city (and neighbourhoods) are
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invaluable. From a historical viewpoint the city retains some buildings and streets of Inca
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empire epoch (and before also) in original form. The cultural importance of the city is great,
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because archaeological, anthropological, ethnological studies are in course. Every day new
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things are found underground the city; the complete image of old city is still to be discovered.
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The answer about possible sources of damage to the goods of the city is strictly seismolog-
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ical. From this viewpoint, Cusco and surrounded areas are very interesting because plentiful
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literature information respect to disastrous earthquakes felt in the city. The study of his-
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torical literature notice us of big earthquakes striking the city with notorious destructive
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effects on buildings and also with lost of lives. More detailed macroseismic and analytical
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information will be given in the next subsections, for now is sufficient to have a positive
59
answer for the basic question.
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Cusco is by itself a seismogenic region. A preliminary process of instrumentally recorded
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data confirm to us the idea that Cusco has special characteristics as a seismically active zone,
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independent of Benioff zone. So, we will try to demonstrate in this section the following
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hypothesis: Cusco city is inmersed in a seismically active region with characteristics of
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intraplate seismicity, independent of earthquakes triggered by subduction mechanism and
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with its own seismotectonic signature.
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3
Earthquakes historically registered
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The most antique reference to an earthquake near Cusco is given by tradition, which talks
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about a big earthquake before the arrival of Spaniards; this could be occurred between 1438
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and 1491 [21] and affect buildings in Machu-Picchu.
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The first earthquake registered by Spanish chronicles is of 1590 [24] [26]. The most destruc-
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tive seismic event felt in Cusco was in 1650; really were two big shots (1650/03/31 16:10:00
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and 1650/03/31 19:00:00 and 260 aftershocks until April 3). It is assigned a intensity of X
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(MSK) for the two earthquakes; damages to buildings were severe (Fig. 1); produce damages
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to civil structures in distant cities as La Paz and Lima; near the epicentre were observed
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changes in the level of underground water and some streams deviate from original chan-
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nel. Magnitude of 7.41 is assigned based on this macroseismic information, being the most
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energetic earthquake in our catalogue (for the region of Cusco). The picture of Fig. 1 is
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interesting as document of epoch because it was commissioned by the bishop of the city to
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evaluate the damages due to the earthquakes.
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Another strong shaking of the earth was felt in Cusco in 1744 (1744/11/19 11:30:00) ;
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some churches had cracked walls and statues fell down in the cathedral. Intensity of VI and
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macroseismic magnitude 5.3 is assigned to this earthquake.
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There are instrumental recordings of seismic events after 1900 . However macroseismic
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information is important because this talks us about damages to civil structures, geological
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incidences and geographical scenery changes. Then the following earthquake which is still in
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memory of people is from 1950 (1950/5/21 18:37:40.00); it was felt with a intensity of VIII
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(MM) in Cusco , 120 lost lives, more than 50% of houses and buildings severe damaged (Figs.
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2 and 3, apparition of faults scarp [26], exchanges in underwater level and liquefaction of
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soils phenomena (personal communication of Vittorio Bonino). The news of the earthquake
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appearing in the journal of the capital of the country (Fig. 2) tell us about the importance
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4
of the city of Cusco. Fig. 3 is very illustrative about the severity of damages to houses and
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buildings, in the Santo Domingo church fell down some part of the main shrine, but the stone
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wall of Incas epoch at the basement of the church it remains intact; but this is another theme.
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The last big earthquake remembered by citizens is of 1986 (1986/4/5 20:14:29.20), magni-
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tude 5.2 mw, felt with intensity VIII (MM) in Cusco city. Were 9 killed persons; damages on
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houses and churches (statues of high part of cathedral fell down). A hundred of aftershocks
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registered and located near the Quenco location [14].
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A total of 88 earthquakes were felt and occurred in a radius of 60 km from Cusco between
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1590-1900 years. They are registered in our historical catalogue, but not all are able to apply
105
for the PSHA study because some loss of seismic parameters, mainly magnitude.
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The zoning used by [1] and [25] takes both intraplate and subduction earthquakes, which
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means they are equally hazardous for the Cusco city. An analysis based in the attenuation
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law for seismic waves in Perú (section Intensity-magnitude-distance relationship) can clarify
110
this point. Benioff zone is 125 km (Fig. 5 ) to 100 km under Cusco (Fig. 10), so, an earth-
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quake with magnitude 6.0 mw (there are not Benioff earthquakes with magnitude greater
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than this) directly below the city will produce an intensity of V. We are considering a tremor
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can be dangerous for lives and civil structures if have intensities of VIII or more. Then, the
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contribution of subduction earthquakes to the seismic hazard in the city is negligible.
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A last argument to contest our hypothesis could be: Any region of the Andes have high
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rate of seismicity, so, Cusco it is not a specially active region. We can find an answer to this
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in the macroseismic information. Making a search in the intensities catalogue [24] we find
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189 citations for the name Cusco (that is, declarations of people who felt an earth tremor
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in the region of Cusco), while neighbourhood regions as Puno or Apurimac receive 27 and
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5
28 citations respectively. Of course regions located at coastal line appears with much more
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citations, but this is because they are directly above the Benioff zone. In conclusion, Cusco
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is the most seismically active region in the Peruvian Andes.
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Crustal thickness below Cusco
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Earthquakes with source mechanism of tectonic type can occur in the Earth crust. It is con-
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sidered in the mantle and in the asthenosphere constituent rocks have rigidity and viscosity
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can’t store deviatoric tectonic stresses in amount enough to fail. So, we need to know crustal
128
thickness, in other words the limit until what rocks can suffer tectonic faulting. This is
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also known as Mohorovicic interface (Moho) and is determined by seismological methods as
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Receiver Function (RF) or surface waves tomography [3]. Lines of isopachs for crust below
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Cusco region shows Moho is between 60 to 65 km depth (Fig. 4).
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A more detailed study modelling the Moho and the flexure of oceanic lithosphere in the
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transect Cusco-Juliaca with RF inversion method [20] locates the Moho at 70-75 km depth.
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This is a relevant information to take in consideration at the moment to stablish the limits
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in depth for our seismic catalogue. The crust under Cusco region is more thicker than
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coastal areas or the continental interior (cratons); this have consequences in the isostatic
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equilibrium and in the emergence of deviatoric stresses, being the last directly related to
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tectonic earthquakes.
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Benioff zone under Cusco
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Benioff zone is defined as ”A dipping planar (flat) zone of earthquakes that is produced by the
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interaction of a downgoing oceanic crustal plate with a continental plate. These earthquakes
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can be produced by slip along the subduction thrust fault or by slip on faults within the
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downgoing plate as a result of bending and extension as the plate is pulled into the mantle.
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Also known as the Wadati-Benioff zone” (USGS, Earthquake Glossary). Below the oceanic
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6
lithosphere we find the asthenosphere which is the limit in depth to tectonic earthquakes. The
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upper limit for subduction type earthquakes is the contact between continental lithosphere
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(South American plate) and oceanic lithosphere (Nasca plate) [6], so, earthquakes to be
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considered in our study must be above this limit.
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The level curves in Fig. 5 shows a flexure of Nasca plate exactly below Cusco, passing
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from a flat subduction to a dipping slab in NW-SE direction [20]. In any case, focus more
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than 125 km depth occur into the oceanic lithosphere. This reason altogether with the Moho
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depth criteria are why we select earthquakes just until 90 km hypocenter depth; with this we
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are sure our earthquakes occur into de crust or in the upper mantle, but not into the oceanic
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lithosphere nor in the asthenosphere. None of the earthquakes in our seismic catalogue is of
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subduction type.
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Seismotectonic in the region
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We have seen in how the typical tectonic regime into a subduction zone is the thrust fault.
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This could be a criteria to determine if earthquakes in region under examination are triggered
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by stresses generated by the downgoing mechanism of oceanic plate, or they obey to another
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tectonic regime.
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The most of focal mechanisms in Fig. 6 are of normal fault type. This is corroborated
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by stress tensor (in the same figure) where a near vertical σ1 and near horizontal σ3 give us
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an seismotectonics scenery of normal faulting. Evidently the tectonic mechanics originating
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deviatoric stresses is not oceanic slab pull. We have to think in a local source of stresses as
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triggered mechanism of earthquakes occurred in Cusco region.
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Intensity-magnitude-distance relationship
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One of the first steps in a PSHA study is to choose seismic sources and determining the
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geometry of seismogenic zone. Viewing a seismicity map of Perú we can identify some
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possible seismic sources, but not all are useful for this study because they can be located too
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7
far as to strike the city with enough energy. We have to determine which is the maximum
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epicentral distance for an earthquake capable to produce damages to the city.
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We use an empirical Intensity-magnitude-distance relationship [4] as preliminary tool in
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evaluation of maximum distance, given a magnitude of reference and an expected intensity ,
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MMI = −3.29 + 1.68 × mw − 0.0206 × ∆ (1)
where,
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MMI : Mercalli Modified intensities scale;
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mw : Seismic moment magnitude,
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∆ : Epicentre distance in km.
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Solving (1) for the parameters MMI = V III, mw = 7.41 in a iterative way, we found
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the distance ∆ = 60km how the maximum limit at which an earthquake can produce serious
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damages to Cusco city.
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Then, we have delimited the area of interest for this PSHA study, a radius of 60 km
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around the city of Cusco and 90 km depth. This parameter for depth is very flexible because
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two limitations of data: the uncertainty in determination based on macroseismic informa-
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tion (historical chronicles) is too large, not even an error bar it is possible to know. For
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instrumentally recorded seismic events, hypocenter depth determination depends on veloc-
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ities model. Earth models as iaspei91 or ak135 locates Moho interface at 33-35 km depth,
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but the crust under Cusco is more thickest, with Moho 70-75 km depth, then hypocenter
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determination with programs using those earth models gives systematically bigger depth
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than real. So, although 90 km depth is a physical limit imposed by us for hypocenters, in
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catalogues can appear deeper focus but what really are into our limits.
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8
INTRODUCTION
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After to demonstrate the need of a PSHA study for Cusco region, we analyse the applicability
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of the Poisson model to seismicity of Cusco. The test methodology proposed by [11] is
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followed by us, over the seismic data. As the test shows a high discrepancy from the Poisson
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model, we choose the frequentist theory to find probabilities directly from relative frequencies
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of magnitudes. The return periods are taken also directly from averages of elapsed times
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between earthquakes of same magnitudes. These are the basic informations introduced to a
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formulation of Bayes theorem adopted from [27].
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DATA BASE
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We construct our data base for earthquakes, collecting information from different sources:
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a) The Centro Regional de Sismologia (CERESIS) [24];
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b) The International Seismological Centre (ISC) [12];
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c) The ANSS Comprehensive Earthquake catalogue (ComCat) [28];
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d) Incorporated Research Institutions for Seismology (IRIS);
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e) Instituto Geofísico del Perú (IGP).
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Most of the finally accepted earthquake data come from a) and b). IGP is mentioned just
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for completion of information, because all their data is included in the CERESIS catalogue.
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The constraints imposed to our catalogue are:
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1) epicenter located at 60 km of maximum distance from major Square of Cusco city;
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2) hypocenter at 90 km of maximum depth (some historical earthquakes located by macro-
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seismic information has hypocenter more than 70 km, but their precision is too poor, then
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we fixed to 33 km depth);
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3) earthquake should have magnitude parameter determined.
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In the elapse time 1590-1899 magnitudes were taken from a); for the period 1900-2018 the
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source of magnitudes is b). Magnitudes are normalized to seismic moment magnitude (mw)
219
9
using the formulas of [23],
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mw = 0.67MS + 2.07; 3.0 ≥ MS ≤ 6.1 (2)
mw = 0.99MS + 0.08; 6.2 ≥ MS ≤ 8.2 (3)
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mw = 0.85mb + 1.03 (4)
Another types of magnitudes, as macroseismic magnitude (Mm) are considered equivalent to
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mw, and local magnitude (Ml) equivalent to mb, because absence of any kind of formulation
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for these. The complete catalogue of earthquakes for our study is presented in table 1.
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Due to magnitudes conversion to mw there are not earthquakes with magnitude less to
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4.0. This is a threshold level established by circumstances related to recording capabilities
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of epoch. Historical chronicles just register big earthquakes (or at least people feel like this),
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in the same way small tremors are neglected by historians. Looking to instrumental records,
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a world wide seismometers network begins their operation in 1960; the magnitude threshold
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for this network was 5.0 until 1990. In Perú a seismic network able to detect earthquakes
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below magnitude 5.0 (for all the territory) was installed in the new millennia. These are the
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reasons why the catalogue has few earthquakes in the low magnitudes range.
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Hypocentral distance, from focus to the main square of Cusco, is an interesting parameter
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because this is the real path travelled by seismic wave. This parameter tell us how much
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attenuation suffer the wave. The mean of hypocentral distances is 62.2 km, so considering
237
the results obtained in we can say of all this earthquakes, they had potential to affect the
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city and produce serious damages.
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Some of the epicentres plotted in Fig. 7 match with traces of regional faults, this is in-
241
teresting since they are confirming the theory of focal mechanism, one of the nodal planes
242
10
would be related to geological fault. But, most of the epicentres no match with any fault; no
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nesting nor alignments of epicentres are seen. In a general view we can say epicentres have
244
an spatial random behaviour. However, earthquakes in the crust must be result of a fault
245
slip, so we can conclude that faults exists but have not superficial evidences.
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It is notorious the fact that the 3 biggest earthquakes are far from known geological faults.
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In the same sense the 2 earthquakes of 1650 appears plotted 55 km apart, but difference
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time between both is 3 hours, then any seismologist hope the second is an aftershock of the
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main and both must be located one near the other. Is very rare two big earthquakes occur
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close in time and in space but from independent geological phenomena. Also chronicles talks
252
of 260 aftershocks felt in the city. Historical chronicles says nothing about location of those
253
aftershocks. Most probably the location of those big earthquakes plus aftershocks happened
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in the same fault system.
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The 1986/04/05 earthquake had one hundred of aftershocks in an elapse time of 20 days.
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Twelve of the aftershocks were located in the same fault system of main shock; magnitudes
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diminishing to less values but focus depth upgoing in surface direction.
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Despite the numerous references to aftershocks in Cusco region they don’t appear in seismic
261
catalogues. This is a declustering operation due to historical procedures. It is not a desirable
262
effect over our data because we need the most complete relation of earthquakes along all the
263
range of magnitudes.
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We collect also a catalogue of Centroid Moment Tensor (CMT) solutions for earthquakes
265
inside the region of interest.
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Catalogues of seismic intensities are another source of information very useful in this
268
research. CERESIS provides intensities in both formats, impress [24] and digital; the second
269
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catalogue we use is from ISC (via web). Seismic intensities deducted from historical chronicles
270
are presented by Silgado [26] and Alva [24].
271
GUTENBERG-RICHTER LAW
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The magnitude-frequencies relationship in essence says the less the magnitude the most the
273
number of events; this is based in empirical observations and is valid for all the world [13].
274
275
Looking to our bars graph of absolute frequencies (Fig. 8) it is clear what the magnitude-
276
frequencies relationship for Cusco differs from the known shape for all the world. We can
277
explain the low level of frequencies in magnitudes less to 6.0 with reasons exposed in above
278
sections. The key factor could be the sensitivity of seismic networks; without stations close
279
to the city until recent years, low magnitude earthquakes are under-registered. But never-
280
theless the World-Wide Standardized Seismograph Network (WWSSN) since 1960 is able to
281
detect any earthquake with magnitude 5.0 or greater; so we can expect the frequencies of
282
events in the range 5.0-6.1 would be greater than frequency of 6.2 (frequency is used here in
283
the statistical sense, number of occurrences). This is not the case, opening the possibility
284
of an special distribution of seismic frequencies in Cusco founded in an own seismotectonic
285
model.
286
287
It is a established practice in PSHA studies, based in the Poisson model, to make a graphic
288
of the logarithm of the exceedance cumulative relative frequencies versus magnitudes and fit
289
to a curve of form,
290
log(N) = a − b(M) (5)
which is known as Gutenberg-Richter law (G-R).
291
292
But, in our case, due to dispersion of data, any interpretation over this curve (Fig. 9)
293
12
have no sense; however if we look just to to the fitted curve, log(N) = 1.01 − 0.12 × mw,
294
we can feel the temptation to follow an statistical analysis based in the Poisson model. It
295
is necessary to see also the raw data and their frequencies distribution, finally, a test about
296
compatibility with a Poisson distribution shows us this is not a good way of probabilistic
297
analysis. This statement is substantiated in an analysis of discrepancy regarding Poisson
298
distribution [11] ; the χ2
= 150.68 obtained from seismic data is too large (see table 2),
299
enough to reject the zero hypothesis still with the lowest level of significance. Specifying this
300
conclusion: our seismicity data don’t correspond with a Poisson process.
301
302
By other side the Poisson probabilistic model requires events are random (in time and in
303
space) and independent. Statistical independence implies future earthquake is not linked to
304
occurrence of present earthquake, however Gutenberg and Richter says ”Further, the events
305
are not strictly independent.” [13]. Another fact which breaks any probabilistic model ap-
306
plied to earthquakes is the ”no repeatability” of events [8]. Clustering in time and space it
307
seems to be the normal and universal behaviour of earthquakes in short period of time; but
308
in the long period ”the waiting time until the next earthquake becomes longer the longer
309
one has been waiting for it” [18]; none probability distribution is capable to take account of
310
this phenomenology.
311
312
Historical macroseismic information from Cusco indicates us a lot of aftershocks occur
313
after a big shot. That facts it seems to be conformal to Bath’s law for the decay in the
314
magnitude of aftershocks, and the Omori’s law for the temporal dropping in the number of
315
aftershocks [22]. Apparently there is a magnitude threshold to trigger the swarm of after-
316
shocks; in an empirical way we can say this limit is around 5.0 mw; we have not perceived
317
sequences of tremors after an earthquake of 5.0 or less.
318
319
The G-R law could be an expression of seismic activity at inter-plate zones; how 90% of
320
13
earthquakes in the planet Earth occur at inter-plate regions [5] is logical to think it is of uni-
321
versal validity. However we are studying seismicity into a continental plate, and the shape
322
of their magnitudes-frequencies curve is the expression of a different kind of accumulation
323
and release of elastic energy.
324
325
Frequencies in Fig. 8 fails on fit the presumptions of G-R law, however maybe are ex-
326
pressing a characteristic physical (geological) situation of the Cusco region. The mean of
327
magnitudes is 5.4 mw, the median is 5.5, the mode is 6.3. The release of tectonic stresses by
328
mean of earthquakes in the range 5.4-6.3 of magnitudes is the resultant of a defined strength
329
of rocks in the region.
330
331
We know how the contact between South-american plate (continental lithosphere) and
332
Nasca plate (oceanic lithosphere) cumulates energy; Nasca plate is pushing the continental
333
lithosphere, in a direction proximately W-E, and subducting in an amount of 61.9 mm/year
334
[15] . This is a continuous process of accumulation of tectonic stress; if a quantity of energy
335
is liberated in the form of seismic waves by cracking into the plate or by rupture of inter-plate
336
asperities, immediately the driving forces restores the tectonic stress. While in the intraplate
337
Andean region the role of ridge push is minor; being the main source of stresses the effect of
338
topography and its compensating crustal root [16] , so the creation of seismic waves depends
339
on internal strength of rocks. Little amounts of deviatoric stress can’t produce failure in
340
rocks because their internal strength. This can explain why occur few small earthquakes in
341
Cusco region. Most of the rocks in crust below Cusco fails and creates seismic waves in a
342
certain interval of stresses, in the other extreme there are few rocks with high resistance to
343
failure, but when cumulated stress is large enough those rocks trigger big earthquakes.
344
345
14
PSHA BY BAYES THEOREM
346
In spite of the Poisson model is not applicable to seismic data in Cusco region, still we
347
have to deliver a result about seismic hazard in the Cusco region. The frequentist theory in
348
statistics no made assumptions related to randomness of process; so this is the way to extract
349
information strictly adjusted to objectivity of data. A probability based in frequencies of
350
occurrence of events says nothing about time or periodicities; we can introduce this as prior
351
data in estimation of probabilities applying the Bayes theorem.
352
We can calculate the probability of an event m occurring t,
353
Pr(m|t) =
Pr(m) × Pr(t|m)
∑n
i=1 Pr(mi) × Pr(t|mi)
(6)
In other words, we want to know the probability of occurrence of the earthquake with
354
maximum magnitude m in the elapse time t. Pr(m) is also known as the priori probability,
355
Pr(t|m) is the conditional probability of t given m and in the denominator of formula (6)
356
we put the summation of probabilities for all the magnitudes until the maximum for that
357
elapse time [27] .
358
359
The prior probability is obtained from relative frequencies of earthquakes, in table 3. For
360
example, 6.2 mw earthquakes have the higher probability of occurrence, with 17.6%. But
361
this is a crude probability, without relation to periodicity nor considering the lower (or up-
362
per) magnitude earthquakes. We need to introduce the parameter time in our formulation,
363
because hazard is evaluated at different time lapses.
364
365
The conditional probability is extracted from data of average periodicity, taken the inverse
366
to obtain frequencies and normalized to relative frequency, table 4. The relevant data in this
367
table is in ”T-cum” column; this shows the time return for a given magnitude earthquake, or
368
lower. For example, an earthquake of magnitude 5.0 or lower can occur each 97.7 years. The
369
15
conditional probability of 97.7 years against 5.0 mw is 0.26. The first column in the table
370
reach the 6.2 magnitude as maximum, we can’t calculate the return period for an earthquake
371
of magnitude 7.4, which appear in our catalogue, because with two occurrences in one day
372
and related to the same faults system has to be considered one unique event.
373
374
Another interesting data is in ”f-rel” column, this says us the probability of occurrence of
375
an earthquake given their magnitude; for example a 4.1 mw earthquake has 35.7% probabil-
376
ity of occurrence and a 6.2 mw earthquake has 0.8% probability of occurrence. We note this
377
results are best fitted to the G-R law assumptions. But here we lost the reference to time.
378
The conditional probabilities of magnitude as function of return periods is reached through
379
the Bayes theorem.
380
381
The Bayesian probability for the maximum magnitude earthquake, given an elapsed time,
382
is presented in the form of table 5. This is calculated for the expected maximum magnitude
383
in an elapsed time (time counted since the last earthquake of equal or bigger magnitude).
384
For example, in 50 years the expected maximum earthquake is of 4.7 mw and will occur with
385
a probability of 11.5% ; while in 350 years the expected maximum earthquake is of 6.2 mw
386
and will occur with a probability of 3.7%. This looks like a low probability, however we have
387
to interpret in statistical sense: for each 100 earthquakes occurred, 4 could be of magnitude
388
6.2; the others will have lower magnitudes. How many earthquakes can occur in Cusco in
389
350 years ? A lot, most than we think considering the seismic network is badly distributed
390
and undersensitive.
391
392
Acceleration of seismic waves for a given magnitude
393
The acceleration of seismic waves in Cusco is calculated from an empirical formula. Unfortu-
394
nately there is not a formula relating magnitudes and accelerations specifically for Perú. So,
395
16
we found a formula developed for interplate earthquakes of Chile and able to take account
396
of short epicentral distances [9], we use in the hope it is also applicable to intraplate zones
397
of Perú,
398
log(α) = c1 + c2mw + c3z + c4∆ − g × log(∆) + c5S
∆ =
√
R2
r + R2
m
Rm = c610c7mw
g = c8 + c9mw
S = 1
(7)
where α is acceleration; mw is moment magnitude; z is depth of focus; Rr is distance to
399
rupture fault; Rm is a near-source saturation term; g is the geometrical spreading coefficient
400
and S = 1 for soils. We choose the 1 second frequency constants,
401
c1 c2 c3 c4 c5 c6 c7 c8 c9
-3.3352 0.4013 0.0186 -0.0010 0.2839 0.0734 0.3522 1.5149 -0.1030
With these constants we calculate the PGA
402
can occur in Cusco for different magnitudes earthquakes and given a determined epicentral
403
distance in table 6. It is important to note the acceleration can surpass 1 gn with an
404
earthquake 7.4 mw (the maximum registered in Cusco); this will mean great destruction
405
in the city. We can see also with a 5.5 mw earthquake the acceleration is higher than
406
expected by previous PSHA estudies. So, in spite of low probabilities of big earthquakes,
407
the accelerations can reach high values.
408
An attenuation law for intensities
409
We use a preliminary attenuation law in Intensity-magnitude-distance relationship to de-
410
termine maximum distance of epicentres. But that was developed in a different geologic
411
environment; here we propose to find an attenuation law for intensities, fitted to the cur-
412
rent geotectonic conditions of Cusco. The data is extracted from intensities catalogue [24].
413
Intensities in table 7 were felt in Cusco city.
414
415
17
Solving the linear equations system we obtain the attenuation law:
416
I = −0.7482 + 1.2739 × mw − 0.0140 × ∆(km) (8)
If we choose the parameters mw = 7.41 and ∆ = 60.0km, the intensity gives us roughly
417
VIII. This result is consistent with the premise in Intensity-magnitude-distance relationship.
418
SOURCES OF TECTONIC STRESSES IN CUSCO
419
Different analysis of tectonic stresses in Andean region shown the main source of stresses are
420
the potential energy due to topographic inhomogeneities [16] [10] ; using the formula given
421
by Artyushkov [2],
422
∆σ = ρ1gh (9)
for an altitude of h = 3200m in Cusco; a density ρ = 2680kg/m3
and an acceleration of
423
gravity g = 9.8m/s2
we can estimate an amount of deviatoric stress of ≈ 84Mpa. A positive
424
stress means a tensional (horizontal) tectonic regime, which is corroborated by normal faults
425
found in the vicinities of Cusco city.
426
427
However the model of Benioff zone found by RF studio [20] under Cusco, shows a new
428
(unknown) source of tectonic stresses originated by the dipping contact between two regions
429
of upper mantle with different densities. This densities were derived from P wave seismic
430
velocities by the relationship,
431
ρ = 520 + 0.36 × Vp. (10)
Following the procedure for estimation of deviatoric stresses given by [17] and with the pa-
432
rameters values of Fig. 10, we find ∆σ = −58.8Mpa. The minus sign indicates this stresses
433
are compressive, but their direction is ≈ 90 rotated respect to the previously determined
434
tensional stresses. The resultant direction of both stresses is difficult to define; an evidence
435
18
of their interaction are some focal mechanisms solutions of normal fault type with strike slip
436
component (Fig. 6.
437
438
In the calculation of lithostatic pressures in both sides of dipping contact into upper mantle
439
(Fig. 10) we see the masses have different levels of compensation. Then, we can say this
440
region is not isostatically compensated. But, final demonstration of the phenomena is matter
441
of other study.
442
CONCLUSIONS
443
a) Cusco is a seismogenic zone by its own tectonics characteristics. Earthquakes capable to
444
hit the city with enough intensity to produce serious damages to lives and civil structures
445
have to occur in a maximum radius of 60 km around the Main Square of Cusco.
446
b) The main sources of tectonic stresses affecting Cusco are the topographic effect, which
447
produce ≈ 84Mpa of tensional stress in a direction normal to the alignment of Andes
448
Cordillera, and the semi-vertical contact between two regions of upper mantle with dif-
449
ferent densities which produce an compressional stress of ≈ −58.8Mpa; direction of this
450
last stress is the same of contour level lines of flat subduction zone. These are the reasons
451
for which all earthquakes in Cusco have focal mechanism solutions of normal fault type (or
452
normal fault with a small component of strike slip regime).
453
c) Data base of historical and instrumental records of earthquakes in Cusco region don’t
454
fit the requirements of a Poisson process; so, we can’t use the classical PSHA (based in a
455
Poisson model) to estimate seismic hazard parameters.
456
d) We use a frequentist approximation for prior probabilities of seismic events, a deter-
457
ministic return period as conditional probability and a Bayes model for the probability of
458
occurrence of the maximum magnitude earthquake. We hope a 6.2 mw earthquake with a
459
probability of 0.037, in an elapsed time of 400 years after the last earthquake with same
460
19
magnitude occurred. There are earthquakes with biggest magnitude occurred historically in
461
Cusco, but how they are unique it is not possible to extrapolate a return period for these
462
earthquakes.
463
e) The mean is 5.4 mw, the median is 5.5 and the mode of absolute frequencies of mag-
464
nitudes is 6.3 for Cusco region. This contradicts the assumptions of G-R law; but can say
465
something about mechanical strength of crustal rocks below Cusco. Those rocks has a frac-
466
ture limit which is reached by deviatoric stresses most than 84 Mpa (producing 5.4 mw or
467
higher earthquakes).
468
f) We found an attenuation law for seismic intensities in Cusco region, I = −0.7482 +
469
1.2739 × mw − 0.0140 × ∆(km).
470
g) The probable maximum acceleration in soil of Cusco, in case of a 7.4 magnitude earth-
471
quake is 1091.8 cm/s2
. This is more than one gravity, so, damages to civil structures and
472
buildings could be serious.
473
CONFLICT OF INTEREST
474
The authors declare that they have no conflict of interest.
475
References
476
[1] Z. Aguilar , M. Roncal , R. Piedra (2017), Probabilistic Seismic Hazard Assessment in
477
the Peruvian Territory, 16th World Conference on Earthquake, 16WCEE.
478
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479
homogeneities, JOURNAL OF GEOPHYSICAL RESEARCH, 78, NO. 32, 7675-7708.
480
[3] Marcelo Assumpção, Mei Feng, Andrés Tassara, Jordi Julià (2013), Models of crustal
481
thickness for South America from seismic refraction, receiver functions and surface wave
482
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483
20
[4] W. H. Bakun and C. M. Wentworth (1997), Estimating Earthquake Location and Magni-
484
tude from Seismic Intensity Data, Bulletin of the Seismological Society of America,87,No.
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6, 1502-1521.
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[5] Bolt, Bruce (2005), Earthquakes: 2006 Centennial Update – The 1906 Big One (Fifth
487
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[6] Thomas Cahill, Bryan L. Isacks (1992), Seismicity and Shape of the Subducted Nazca
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Plate, Journal of Geophysical Research, 97, NO. B12, 17,503-17,529.
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[7] U. Chandra (1981), Different Magnitude-Epicentral Intensity Relations and Estima-
491
tion of Maximum Ground Acceleration, International Conferences on Recent Advances
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in Geotechnical Earthquake Engineering and Soil Dynamics.
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[8] Heriberta Castaños and Cinna Lomnitz (2002) , PSHA: is it science?, Engineering Geol-
494
ogy, 66, 315–317.
495
[9] V. Contreras, R. Boroschek (2012), Strong Ground Motion Attenuation Relations for
496
Chilean Subduction Zone Interface Earthquakes, 15th World Conference on Earthquake
497
Engineering, Lisboa.
498
[10] Bernard Dalmayrac and Peter Molnar (1981), Parallel thrust and normal faulting in
499
Peru and constraints on the state of stress, Earth and Planetary Science Letters, 5, 473-
500
481.
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[11] R. A. Fisher (1950), The Significance of Deviations from Expectation in a Poisson Series,
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Biometrics, 6, No. 1 , 17-24.
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[12] Di Giacomo, D., I. Bondár, D.A. Storchak, E.R. Engdahl, P. Bormann and J. Har-
504
ris (2015), ISC-GEM: Global Instrumental Earthquake catalogue (1900-2009): III. Re-
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computed MS and mb, proxy MW, final magnitude composition and completeness assess-
506
ment, Phys. Earth Planet. Int., 239, 33-47.
507
21
[13] B. Gutenberg and C. F. Richter (1944), Frequency of earthquakes in California, Bulletin
508
of the Seismological Society of America, 34, 4, 185-188.
509
[14] David Huamán Rodrigo (1987), Aspectos sismotectonicos del sismo del Cusco del 5 de
510
abril de 1986, Congress about Cusco april/5/1986 earthquake.
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[15] Eric Kendrick et al. (2003), The Nazca –South America Euler vector and its rate of
512
change, Journal of South American Earth Sciences, 16, 125-131.
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[16] P.Th. Meijer , R. Govers, M.J.R. Wortel ( 1997), Forces controlling the present-day
514
state of stress in the Andes, Earth and Planetary Science Letters 148, I57- 170.
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[17] Peter Molnar and Hélène Lyon-Caen (1988), Some simple physical aspects of the sup-
516
port, structure, and evolution of mountain belts, Geol. Soc. Am. Spec. Pap. 218, 179-207.
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[18] Francesco Mulargia, Philip B. Stark, Robert J. Geller (2017), Why is Probabilistic
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Seismic Hazard Analysis (PSHA) still used?, Physics of the Earth and Planetary Interiors,
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264, 63–75.
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[19] Mark D. Petersen, Stephen C. Harmsen, Kishor S. Jaiswal, Kenneth S. Rukstales, Nico-
521
las Luco, Kathleen M. Haller, Charles S. Mueller, and Allison M. Shumway (2018), Seis-
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mic Hazard, Risk, and Design for South America, Bulletin of the Seismological Society of
523
America, 108 No. 2, 781–800.
524
[20] Kristin Phillips and Robert W. Clayton (2014), Structure of the subduction transition
525
region from seismic array data in southern Peru, Geophys. J. Int. , 196, 1889–1905.
526
[21] M. A. Rodríguez-Pascua, C. Benavente Escobar, L. Rosell Guevara, C. Grützner, L.
527
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law for earthquake aftershock decay, Geophysical Research Letters, 31, L11613.
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[23] E.M. Scordilis (2006), Empirical global relations converting MS and mb to moment
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magnitude, Journal of Seismology, 10, 225-236.
533
[24] Seismological Center for the region of South America (CERESIS) (1985), Earthquake
534
mitigation program in the Andean Region, 14 Vols. CERESIS, Lima.
535
[25] Sunil Sharma and Mario Candia-Gallegos (1992), Seismic hazard analysis of Peru, En-
536
gineering Geology, 32 , 73-79.
537
[26] Enrique Silgado (1978), Historia de los sismos mas notables ocurridos en el Perú (1513-
538
1974), pp. 111. Instituto de Geologia y Mineria, Lima.
539
[27] J. P. Wang, Su-Chin Chang and Yun Xu (2016), Best-Estimate Return Period of the
540
Sanchiao Earthquake in Taipei: Bayesian Approach, Nat. Hazards Rev., 06015001, 1-5.
541
[28] Young, J.B., Presgrave, B.W., Aichele, H., Wiens, D.A. and Flinn, E.A. ( 1996), The
542
Flinn-Engdahl Regionalisation Scheme: the 1995 revision, Physics of the Earth and Plan-
543
etary Interiors, 96, 223-297.
544
23
Figure 1: Picture of the epoch showing damages to Cusco city from 1650 earthquake.Source:
Life.
Figure 2: News about earthquake of 1950 in Cusco.Source: El Comercio.
24
Figure 3: Part of Santo Domingo church fell down in 1950.Source: Life
−80˚
−80˚
−79˚
−79˚
−78˚
−78˚
−77˚
−77˚
−76˚
−76˚
−75˚
−75˚
−74˚
−74˚
−73˚
−73˚
−72˚
−72˚
−71˚
−71˚
−70˚
−70˚
−69˚
−69˚
−15˚ −15˚
−14˚ −14˚
−13˚ −13˚
−12˚ −12˚
−11˚ −11˚
−10˚ −10˚
Cusco
3
5
4
0
45
50
55
60
40
3
0
Figure 4: Moho depth under the region of Cusco. Dashed lines shows thickness of crust,
below Cusco it is more than 60 km. Source of data: [3]
25
−80˚
−80˚
−79˚
−79˚
−78˚
−78˚
−77˚
−77˚
−76˚
−76˚
−75˚
−75˚
−74˚
−74˚
−73˚
−73˚
−72˚
−72˚
−71˚
−71˚
−70˚
−70˚
−69˚
−69˚
−15˚ −15˚
−14˚ −14˚
−13˚ −13˚
−12˚ −12˚
−11˚ −11˚
−10˚ −10˚
Cusco
5
0
7
5
1
0
0
1
2
5
1
5
0
6
0
0
t
r
e
n
c
h
Figure 5: Nasca plate flexure below Cusco region.Source of Benioff contour lines: [6]
−72˚30'
−72˚30'
−72˚00'
−72˚00'
−71˚30'
−71˚30'
−14˚00' −14˚00'
−13˚30' −13˚30'
−13˚00' −13˚00'
Cusco
1
2
3
Figure 6: Focal mechanisms in region of Cusco and the stress tensor.Axis of main stress σ1
is indicated by number 1; the others main stresses are indicated in the same way.
Red dashed lines are fault systems recognized in the region.
−72˚30'
−72˚30'
−72˚15'
−72˚15'
−72˚00'
−72˚00'
−71˚45'
−71˚45'
−71˚30'
−71˚30'
−71˚15'
−71˚15'
−14˚15' −14˚15'
−14˚00' −14˚00'
−13˚45' −13˚45'
−13˚30' −13˚30'
−13˚15' −13˚15'
−13˚00' −13˚00'
669
789
909
1029
1149
1269
1389
1509
1629
1749
1869
1989
2109
2229
2349
2469
2589
2709
2829
2949
3069
3189
3309
3429
3549
3669
3789
3909
4029
4149
4269
4389
4509
4629
4749
4869
4989
5109
5229
5349
5469
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37 38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
Cusco
Urubamba
Urcos
Machu−picchu
Cotabambas
Figure 7: Epicentres of earthquakes accomplishing constraints for our catalogue are plotted
with red balls, numbers are from table ??; size of symbols are proportional to
magnitude. Black dashed lines are fault systems crossing the region.Scale color
bar is for altitude in meters.
26
4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0
magnitude - mw
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
frequency
earthquakes frequency
Figure 8: Frequencies (number of events) of earthquakes in function of magnitude.
4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5
magnitude - mw
0.0
0.5
1.0
1.5
log(N)
observed earthquakes
log(N)=1.01-0.12*mw
Figure 9: G-R equation fitting seismicity data of Cusco.
27
0
50
100
150
200
250
depth
(km)
0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800
distance (km)
Cusco
Juliaca
crust
Moho
mantle
Benioff zone
Vp=6 km/s
ρc=2680 kg/m3
Vp=7.5 km/s
ρm=3220 kg/m3
Vp=8.0 km/s
ρa=3400 kg/m3
Figure 10: Model of subduction transition region below Cusco. Modified from [20]
28
Table 1: Catalogue of earthquakes into region of Cusco.
Nr year month day hour min sec Lat Lon dep magn type magn mw hyp.
1 1590 1 1 0 0 0.0 -13.500 -71.900 15.0 6.2 Mm 6.2 mw 1
2 1650 3 31 16 10 0.0 -13.600 -72.200 70.0 7.4 Mm 7.4 mw 7
3 1650 3 31 19 0 0.0 -13.500 -71.700 30.0 7.2 Mm 7.2 mw 4
4 1718 8 3 11 0 0.0 -13.550 -71.519 33.0 6.2 Mm 6.2 mw 5
5 1720 4 22 3 0 0.0 -13.550 -71.519 33.0 6.2 Mm 6.2 mw 5
6 1742 3 25 2 0 0.0 -13.600 -72.000 33.0 6.2 Mm 6.2 mw 3
7 1743 5 9 18 15 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3
8 1744 11 14 11 30 0.0 -13.500 -72.000 10.0 6.5 Mm 6.5 mw 1
9 1744 11 19 11 30 0.0 -13.770 -72.099 20.0 5.3 Mm 5.3 mw 3
10 1746 2 11 0 0 0.0 -14.000 -71.700 20.0 5.2 Mm 5.2 mw 6
11 1746 2 9 13 0 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3
12 1747 1 8 14 0 0.0 -13.600 -71.900 33.0 6.2 Mm 6.2 mw 3
13 1747 3 19 0 0 0.0 -13.500 -71.599 33.0 6.2 Mm 6.2 mw 5
14 1804 4 22 0 0 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3
15 1870 3 28 17 40 0.0 -13.550 -72.000 33.0 6.2 Mm 6.2 mw 3
16 1905 1 23 11 15 0.0 -13.670 -71.870 7.0 6.2 Mw 6.2 mw 2
17 1928 5 17 10 55 0.0 -13.000 -72.000 33.0 6.2 Mw 6.2 mw 6
18 1941 9 18 13 14 10.0 -13.834 -72.305 60.0 6.4 Mw 6.4 mw 7
19 1950 5 21 18 37 40.0 -13.500 -72.000 10.0 6.2 Mb 6.3 mw 1
20 1963 8 18 23 7 54.0 -14.200 -71.900 31.0 4.6 Mb 4.9 mw 8
21 1964 10 17 7 45 33.0 -13.460 -72.600 44.0 4.6 Mb 4.9 mw 8
22 1964 6 28 5 52 34.7 -13.800 -71.700 33.0 3.8 Mb 4.3 mw 5
23 1965 5 8 22 22 39.0 -13.700 -71.600 20.0 4.6 Mb 4.9 mw 4
24 1965 6 5 20 41 9.0 -13.740 -71.600 73.0 4.3 Mb 4.7 mw 8
25 1969 10 20 8 47 38.0 -13.500 -72.400 33.0 4.3 Mb 4.7 mw 5
26 1969 8 1 19 32 13.0 -13.540 -72.580 47.0 4.7 Mb 5.0 mw 8
27 1971 3 21 14 31 38.0 -14.160 -72.188 33.0 5.8 Mb 6.0 mw 8
28 1972 2 8 20 44 10.5 -14.136 -71.665 64.0 4.8 Mb 5.1 mw 9
29 1972 7 2 16 46 43.0 -12.995 -72.257 33.0 3.9 Mb 4.3 mw 7
30 1973 10 25 14 49 52.0 -13.636 -72.355 33.0 5.5 Mb 5.7 mw 5
31 1973 10 31 6 13 6.8 -13.892 -71.381 33.0 4.3 Mb 4.7 mw 8
32 1973 8 3 7 32 20.7 -13.737 -71.871 33.0 3.6 Mb 4.1 mw 4
33 1974 4 17 2 1 32.8 -13.662 -71.936 33.0 3.8 Mb 4.3 mw 3
34 1978 1 21 13 29 40.0 -13.016 -71.526 71.0 5.6 Mb 5.8 mw 1
35 1980 6 3 19 17 40.0 -13.314 -72.490 18.0 5.3 Ms 5.6 mw 6
36 1982 10 8 1 14 3.0 -14.070 -72.100 33.0 4.8 Mb 5.1 mw 7
37 1986 10 21 17 19 48.0 -13.390 -72.370 37.0 4.8 Mb 5.1 mw 5
38 1986 4 5 20 14 29.2 -13.410 -71.810 50.9 5.2 Mw 5.2 mw 5
39 1986 9 25 15 25 50.0 -13.577 -71.353 85.0 4.3 Mb 4.7 mw 1
40 1987 4 15 9 4 26.0 -14.020 -71.940 33.0 5.3 Mb 5.6 mw 6
41 1987 7 23 11 46 30.0 -13.372 -71.332 33.0 5.3 Mb 5.6 mw 7
42 1990 8 31 12 4 32.0 -13.875 -72.466 66.4 3.9 Mb 4.3 mw 9
43 1991 2 20 7 15 17.0 -13.116 -72.311 33.0 3.9 Mb 4.3 mw 6
44 1991 3 3 15 14 20.0 -13.433 -72.258 33.0 3.7 Mb 4.2 mw 4
45 1991 7 6 12 19 49.6 -13.108 -72.187 33.5 7.0 Mw 7.0 mw 6
46 1996 12 2 21 53 48.0 -13.363 -72.137 33.0 4.4 Mb 4.8 mw 4
29
Table 2: Values of discrepancy and total dispersion referred to a Poisson distribution.
mw f f expected (f − fexpected)2
/fexpected
4.0 1 11.0 9.1
4.1 2 11.2 7.5
4.2 2 11.3 7.7
4.3 4 11.5 4.9
4.6 4 11.7 5.1
4.7 4 11.8 5.1
4.8 2 11.8 8.1
4.9 3 11.8 6.6
5.0 2 11.8 8.1
5.1 5 11.7 3.9
5.2 6 11.7 2.8
5.3 3 11.6 6.4
5.4 2 11.5 7.8
5.5 3 11.4 6.2
5.6 2 11.2 7.6
5.7 4 11.1 4.5
5.9 1 10.7 8.8
6.2 12 10.1 0.4
6.3 1 9.9 8.0
6.4 1 9.6 7.7
6.5 1 9.4 7.5
7.0 1 8.1 6.2
7.2 1 7.5 5.6
7.4 1 7.0 5.1
χ2
150.68
30
Table 3: List of magnitudes mw and relative frequencies.
mw f-rel
4.0 0.0147059
4.1 0.0294118
4.2 0.0294118
4.3 0.0588235
4.6 0.0588235
4.7 0.0588235
4.8 0.0294118
4.9 0.0441176
5.0 0.0294118
5.1 0.0735294
5.2 0.0882353
5.3 0.0441176
5.4 0.0294118
5.5 0.0441176
5.6 0.0294118
5.7 0.0588235
5.9 0.0147059
6.2 0.176471
6.3 0.0147059
6.4 0.0147059
6.5 0.0147059
7.0 0.0147059
7.2 0.0147059
7.4 0.0147059
31
Table 4: Average periodicity of earthquakes and derived parameters.
mw T-cum T-rel 1/T f-rel
4.1 8.95 0.0242524 41.233 0.357051
4.2 18.75 0.0508082 19.6819 0.170433
4.3 30.957 0.0838864 11.9209 0.103227
4.6 45.967 0.12456 8.02826 0.0695196
4.7 56.467 0.153013 6.53541 0.0565925
4.8 62.877 0.170382 5.86916 0.0508232
4.9 63.737 0.172713 5.78997 0.0501374
5.0 97.757 0.264899 3.77502 0.0326893
5.1 107.574 0.291501 3.43052 0.0297061
5.2 161.454 0.437503 2.2857 0.0197927
5.3 293.764 0.796033 1.25623 0.0108781
5.4 297.224 0.805409 1.24161 0.0107515
5.5 305.384 0.82752 1.20843 0.0104642
5.6 325.084 0.880903 1.1352 0.0098301
5.7 338.274 0.916645 1.09094 0.00944684
6.2 369.035 1 1 0.00865936
Table 5: Probability of occurrence of the maximum magnitude earthquake mw given the
time t (years).
t/mw 4.7 5.1 5.2 5.3 5.3 5.5 6.2 6.2
50.0 0.115
100.0 0.061
150.0 0.046
200.0 0.013
250.0 0.0126
300.0 0.012
350.0 0.037
400.0 0.037
Table 6: Maximum accelerations in cm/s2
, for a focus depth 70 km.
mw/∆ km 10.0 20.0 30.0 40.0 50.0 60.0
4.7 115.3 57.6 37.4 27.2 21.2 17.2
5.1 175.4 93.0 61.8 45.7 35.9 29.3
5.2 194.1 104.8 70.1 52.0 41.0 33.5
5.3 214.3 117.9 79.4 59.1 46.7 38.3
5.5 259.6 148.9 101.8 76.5 60.8 50.1
6.2 472.4 324.2 237.9 185.7 151.3 126.9
7.4 1091.8 985.3 864.2 753.8 660.8 584.0
32
Table 7: Intensities (MSK), moment magnitude and epicentral distance .
I(MSK) mw ∆ ° ∆ km
5 7.8 2.7066 301.24
3 8.2 4.1765 464.83
3 7.3 4.2221 469.94
8 6.0 0.0389 4.33
3 7.0 3.7439 416.69
3 7.5 2.4613 274.13
4 4.9 0.5592 62.24
6 5.4 0.1839 20.47
4 6.4 1.487 165.50
9 7.41 0.2435 27.106
33

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cusco_seismic_hazard_ttex.pdf

  • 1. Seismic hazard for the Cusco city (Perú) 1 through probabilistic analysis of historical 2 and instrumental records of earthquakes 3 Determining Cusco as a independent seismogenic region 4 Manuel Abarca 5 February 2, 2021 6 Cusco city (and neighbourhoods, designate as region) is by itself a seismogenic 7 zone, independent of Benioff zone. Historical seismic records shows earthquakes 8 as great as 7.41 mw strike the city in the past. Being a UNESCO World Her- 9 itage centre, the city needs clear rules for design, building and preservation of 10 civil structures under seismic event conditions. This rules have to be based in a 11 Seismic Hazard Analysis, specific for the city. The classical Probabilistic Seis- 12 mic Hazard Analysis (PSHA) founded on a Poisson model it is not reliable for 13 Cusco, because seismic data don’t fit the assumptions made by a Poisson pro- 14 cess. We follow here another probabilistic way to determine some seismic hazard 15 parameters, considering frequentist theory of probabilities. The Bayes theorem 16 was applied to find the maximum magnitude earthquake for different periods of 17 time. Peak Ground Accelerations (PGA) were determined through a well condi- 18 1
  • 2. tioned equation. We made also an analysis of tectonic stresses sources founding a 19 new one. A quase-vertical contact between two different densities zones in upper 20 mantle is origin of deviatoric stress. Additionally, macroseimic information is 21 used to calculate an attenuation of intensities law. 22 JUSTIFICATION 23 Probabilistic Seismic Hazard Analysis (PSHA) were developed for the entire South America 24 [19] [24] or for Peru as country [1] [25], but none city of Peru has been the object of a specific 25 PSHA. Previous PSHA (based in a Poisson model) studies found a probable peak ground ac- 26 celeration (PGA) of 0.59 gn (gravities) in 100 years for the Cusco region; but, macroseismic 27 testimonials and in-situ studies after a big earthquake shows evidence of larger accelerations. 28 In the 1986 earthquake some stones (more than 100 kg weight) collided between them over a 29 flat surface in the epicentral area, this is possible just if the earth gravity force is surpassed 30 [14] (personal communication of Dr. Huamán). Another point of disagreement with Pois- 31 sonian PSHA is the zoning and distances to seismic sources, [1] and [25] uses earthquakes 32 as far as 300 km from Cusco city to estimate PGA; but an intensities-magnitudes-distances 33 relationship found in section An attenuation law for intensities says what an earthquake at 34 300 km of epicentral distance needs to be 10.2 magnitude (mw) to reach the city with an 35 intensity of VIII (MSK). This is unreliable. Still, the acceleration would be 0.154 gn, using 36 the acceleration-intensities relationship of [7] (equation 5 in [7] ) , far below of predicted by 37 PSHA studies. Then the zoning used in previous PSHA uses data of earthquakes too far to 38 become a dangerous source of seismic waves for the city; by other side mixes earthquakes of 39 intraplate type with seismicity related to Benioff zone, we will show that subduction earth- 40 quakes are less relevant in hazard terms to Cusco city. 41 42 However, prior to beginning a seismological research , one basic question about the ne- 43 2
  • 3. cessity to study a PSHA study in a city as Cusco has to be answered. The answer has two 44 ways of analysis, one referring to monetary, historical and cultural values of goods resting 45 on the city ; another way is respect to seismic sources of possible damage over those goods. 46 47 Some of the architectural and artistic goods resting on the city (and neighbourhoods) are 48 invaluable. From a historical viewpoint the city retains some buildings and streets of Inca 49 empire epoch (and before also) in original form. The cultural importance of the city is great, 50 because archaeological, anthropological, ethnological studies are in course. Every day new 51 things are found underground the city; the complete image of old city is still to be discovered. 52 53 The answer about possible sources of damage to the goods of the city is strictly seismolog- 54 ical. From this viewpoint, Cusco and surrounded areas are very interesting because plentiful 55 literature information respect to disastrous earthquakes felt in the city. The study of his- 56 torical literature notice us of big earthquakes striking the city with notorious destructive 57 effects on buildings and also with lost of lives. More detailed macroseismic and analytical 58 information will be given in the next subsections, for now is sufficient to have a positive 59 answer for the basic question. 60 61 Cusco is by itself a seismogenic region. A preliminary process of instrumentally recorded 62 data confirm to us the idea that Cusco has special characteristics as a seismically active zone, 63 independent of Benioff zone. So, we will try to demonstrate in this section the following 64 hypothesis: Cusco city is inmersed in a seismically active region with characteristics of 65 intraplate seismicity, independent of earthquakes triggered by subduction mechanism and 66 with its own seismotectonic signature. 67 3
  • 4. Earthquakes historically registered 68 The most antique reference to an earthquake near Cusco is given by tradition, which talks 69 about a big earthquake before the arrival of Spaniards; this could be occurred between 1438 70 and 1491 [21] and affect buildings in Machu-Picchu. 71 The first earthquake registered by Spanish chronicles is of 1590 [24] [26]. The most destruc- 72 tive seismic event felt in Cusco was in 1650; really were two big shots (1650/03/31 16:10:00 73 and 1650/03/31 19:00:00 and 260 aftershocks until April 3). It is assigned a intensity of X 74 (MSK) for the two earthquakes; damages to buildings were severe (Fig. 1); produce damages 75 to civil structures in distant cities as La Paz and Lima; near the epicentre were observed 76 changes in the level of underground water and some streams deviate from original chan- 77 nel. Magnitude of 7.41 is assigned based on this macroseismic information, being the most 78 energetic earthquake in our catalogue (for the region of Cusco). The picture of Fig. 1 is 79 interesting as document of epoch because it was commissioned by the bishop of the city to 80 evaluate the damages due to the earthquakes. 81 82 Another strong shaking of the earth was felt in Cusco in 1744 (1744/11/19 11:30:00) ; 83 some churches had cracked walls and statues fell down in the cathedral. Intensity of VI and 84 macroseismic magnitude 5.3 is assigned to this earthquake. 85 86 There are instrumental recordings of seismic events after 1900 . However macroseismic 87 information is important because this talks us about damages to civil structures, geological 88 incidences and geographical scenery changes. Then the following earthquake which is still in 89 memory of people is from 1950 (1950/5/21 18:37:40.00); it was felt with a intensity of VIII 90 (MM) in Cusco , 120 lost lives, more than 50% of houses and buildings severe damaged (Figs. 91 2 and 3, apparition of faults scarp [26], exchanges in underwater level and liquefaction of 92 soils phenomena (personal communication of Vittorio Bonino). The news of the earthquake 93 appearing in the journal of the capital of the country (Fig. 2) tell us about the importance 94 4
  • 5. of the city of Cusco. Fig. 3 is very illustrative about the severity of damages to houses and 95 buildings, in the Santo Domingo church fell down some part of the main shrine, but the stone 96 wall of Incas epoch at the basement of the church it remains intact; but this is another theme. 97 98 The last big earthquake remembered by citizens is of 1986 (1986/4/5 20:14:29.20), magni- 99 tude 5.2 mw, felt with intensity VIII (MM) in Cusco city. Were 9 killed persons; damages on 100 houses and churches (statues of high part of cathedral fell down). A hundred of aftershocks 101 registered and located near the Quenco location [14]. 102 103 A total of 88 earthquakes were felt and occurred in a radius of 60 km from Cusco between 104 1590-1900 years. They are registered in our historical catalogue, but not all are able to apply 105 for the PSHA study because some loss of seismic parameters, mainly magnitude. 106 107 The zoning used by [1] and [25] takes both intraplate and subduction earthquakes, which 108 means they are equally hazardous for the Cusco city. An analysis based in the attenuation 109 law for seismic waves in Perú (section Intensity-magnitude-distance relationship) can clarify 110 this point. Benioff zone is 125 km (Fig. 5 ) to 100 km under Cusco (Fig. 10), so, an earth- 111 quake with magnitude 6.0 mw (there are not Benioff earthquakes with magnitude greater 112 than this) directly below the city will produce an intensity of V. We are considering a tremor 113 can be dangerous for lives and civil structures if have intensities of VIII or more. Then, the 114 contribution of subduction earthquakes to the seismic hazard in the city is negligible. 115 116 A last argument to contest our hypothesis could be: Any region of the Andes have high 117 rate of seismicity, so, Cusco it is not a specially active region. We can find an answer to this 118 in the macroseismic information. Making a search in the intensities catalogue [24] we find 119 189 citations for the name Cusco (that is, declarations of people who felt an earth tremor 120 in the region of Cusco), while neighbourhood regions as Puno or Apurimac receive 27 and 121 5
  • 6. 28 citations respectively. Of course regions located at coastal line appears with much more 122 citations, but this is because they are directly above the Benioff zone. In conclusion, Cusco 123 is the most seismically active region in the Peruvian Andes. 124 Crustal thickness below Cusco 125 Earthquakes with source mechanism of tectonic type can occur in the Earth crust. It is con- 126 sidered in the mantle and in the asthenosphere constituent rocks have rigidity and viscosity 127 can’t store deviatoric tectonic stresses in amount enough to fail. So, we need to know crustal 128 thickness, in other words the limit until what rocks can suffer tectonic faulting. This is 129 also known as Mohorovicic interface (Moho) and is determined by seismological methods as 130 Receiver Function (RF) or surface waves tomography [3]. Lines of isopachs for crust below 131 Cusco region shows Moho is between 60 to 65 km depth (Fig. 4). 132 133 A more detailed study modelling the Moho and the flexure of oceanic lithosphere in the 134 transect Cusco-Juliaca with RF inversion method [20] locates the Moho at 70-75 km depth. 135 This is a relevant information to take in consideration at the moment to stablish the limits 136 in depth for our seismic catalogue. The crust under Cusco region is more thicker than 137 coastal areas or the continental interior (cratons); this have consequences in the isostatic 138 equilibrium and in the emergence of deviatoric stresses, being the last directly related to 139 tectonic earthquakes. 140 Benioff zone under Cusco 141 Benioff zone is defined as ”A dipping planar (flat) zone of earthquakes that is produced by the 142 interaction of a downgoing oceanic crustal plate with a continental plate. These earthquakes 143 can be produced by slip along the subduction thrust fault or by slip on faults within the 144 downgoing plate as a result of bending and extension as the plate is pulled into the mantle. 145 Also known as the Wadati-Benioff zone” (USGS, Earthquake Glossary). Below the oceanic 146 6
  • 7. lithosphere we find the asthenosphere which is the limit in depth to tectonic earthquakes. The 147 upper limit for subduction type earthquakes is the contact between continental lithosphere 148 (South American plate) and oceanic lithosphere (Nasca plate) [6], so, earthquakes to be 149 considered in our study must be above this limit. 150 The level curves in Fig. 5 shows a flexure of Nasca plate exactly below Cusco, passing 151 from a flat subduction to a dipping slab in NW-SE direction [20]. In any case, focus more 152 than 125 km depth occur into the oceanic lithosphere. This reason altogether with the Moho 153 depth criteria are why we select earthquakes just until 90 km hypocenter depth; with this we 154 are sure our earthquakes occur into de crust or in the upper mantle, but not into the oceanic 155 lithosphere nor in the asthenosphere. None of the earthquakes in our seismic catalogue is of 156 subduction type. 157 Seismotectonic in the region 158 We have seen in how the typical tectonic regime into a subduction zone is the thrust fault. 159 This could be a criteria to determine if earthquakes in region under examination are triggered 160 by stresses generated by the downgoing mechanism of oceanic plate, or they obey to another 161 tectonic regime. 162 The most of focal mechanisms in Fig. 6 are of normal fault type. This is corroborated 163 by stress tensor (in the same figure) where a near vertical σ1 and near horizontal σ3 give us 164 an seismotectonics scenery of normal faulting. Evidently the tectonic mechanics originating 165 deviatoric stresses is not oceanic slab pull. We have to think in a local source of stresses as 166 triggered mechanism of earthquakes occurred in Cusco region. 167 Intensity-magnitude-distance relationship 168 One of the first steps in a PSHA study is to choose seismic sources and determining the 169 geometry of seismogenic zone. Viewing a seismicity map of Perú we can identify some 170 possible seismic sources, but not all are useful for this study because they can be located too 171 7
  • 8. far as to strike the city with enough energy. We have to determine which is the maximum 172 epicentral distance for an earthquake capable to produce damages to the city. 173 We use an empirical Intensity-magnitude-distance relationship [4] as preliminary tool in 174 evaluation of maximum distance, given a magnitude of reference and an expected intensity , 175 MMI = −3.29 + 1.68 × mw − 0.0206 × ∆ (1) where, 176 MMI : Mercalli Modified intensities scale; 177 mw : Seismic moment magnitude, 178 ∆ : Epicentre distance in km. 179 180 Solving (1) for the parameters MMI = V III, mw = 7.41 in a iterative way, we found 181 the distance ∆ = 60km how the maximum limit at which an earthquake can produce serious 182 damages to Cusco city. 183 184 Then, we have delimited the area of interest for this PSHA study, a radius of 60 km 185 around the city of Cusco and 90 km depth. This parameter for depth is very flexible because 186 two limitations of data: the uncertainty in determination based on macroseismic informa- 187 tion (historical chronicles) is too large, not even an error bar it is possible to know. For 188 instrumentally recorded seismic events, hypocenter depth determination depends on veloc- 189 ities model. Earth models as iaspei91 or ak135 locates Moho interface at 33-35 km depth, 190 but the crust under Cusco is more thickest, with Moho 70-75 km depth, then hypocenter 191 determination with programs using those earth models gives systematically bigger depth 192 than real. So, although 90 km depth is a physical limit imposed by us for hypocenters, in 193 catalogues can appear deeper focus but what really are into our limits. 194 8
  • 9. INTRODUCTION 195 After to demonstrate the need of a PSHA study for Cusco region, we analyse the applicability 196 of the Poisson model to seismicity of Cusco. The test methodology proposed by [11] is 197 followed by us, over the seismic data. As the test shows a high discrepancy from the Poisson 198 model, we choose the frequentist theory to find probabilities directly from relative frequencies 199 of magnitudes. The return periods are taken also directly from averages of elapsed times 200 between earthquakes of same magnitudes. These are the basic informations introduced to a 201 formulation of Bayes theorem adopted from [27]. 202 DATA BASE 203 We construct our data base for earthquakes, collecting information from different sources: 204 a) The Centro Regional de Sismologia (CERESIS) [24]; 205 b) The International Seismological Centre (ISC) [12]; 206 c) The ANSS Comprehensive Earthquake catalogue (ComCat) [28]; 207 d) Incorporated Research Institutions for Seismology (IRIS); 208 e) Instituto Geofísico del Perú (IGP). 209 Most of the finally accepted earthquake data come from a) and b). IGP is mentioned just 210 for completion of information, because all their data is included in the CERESIS catalogue. 211 The constraints imposed to our catalogue are: 212 1) epicenter located at 60 km of maximum distance from major Square of Cusco city; 213 2) hypocenter at 90 km of maximum depth (some historical earthquakes located by macro- 214 seismic information has hypocenter more than 70 km, but their precision is too poor, then 215 we fixed to 33 km depth); 216 3) earthquake should have magnitude parameter determined. 217 In the elapse time 1590-1899 magnitudes were taken from a); for the period 1900-2018 the 218 source of magnitudes is b). Magnitudes are normalized to seismic moment magnitude (mw) 219 9
  • 10. using the formulas of [23], 220 mw = 0.67MS + 2.07; 3.0 ≥ MS ≤ 6.1 (2) mw = 0.99MS + 0.08; 6.2 ≥ MS ≤ 8.2 (3) 221 mw = 0.85mb + 1.03 (4) Another types of magnitudes, as macroseismic magnitude (Mm) are considered equivalent to 222 mw, and local magnitude (Ml) equivalent to mb, because absence of any kind of formulation 223 for these. The complete catalogue of earthquakes for our study is presented in table 1. 224 225 Due to magnitudes conversion to mw there are not earthquakes with magnitude less to 226 4.0. This is a threshold level established by circumstances related to recording capabilities 227 of epoch. Historical chronicles just register big earthquakes (or at least people feel like this), 228 in the same way small tremors are neglected by historians. Looking to instrumental records, 229 a world wide seismometers network begins their operation in 1960; the magnitude threshold 230 for this network was 5.0 until 1990. In Perú a seismic network able to detect earthquakes 231 below magnitude 5.0 (for all the territory) was installed in the new millennia. These are the 232 reasons why the catalogue has few earthquakes in the low magnitudes range. 233 234 Hypocentral distance, from focus to the main square of Cusco, is an interesting parameter 235 because this is the real path travelled by seismic wave. This parameter tell us how much 236 attenuation suffer the wave. The mean of hypocentral distances is 62.2 km, so considering 237 the results obtained in we can say of all this earthquakes, they had potential to affect the 238 city and produce serious damages. 239 240 Some of the epicentres plotted in Fig. 7 match with traces of regional faults, this is in- 241 teresting since they are confirming the theory of focal mechanism, one of the nodal planes 242 10
  • 11. would be related to geological fault. But, most of the epicentres no match with any fault; no 243 nesting nor alignments of epicentres are seen. In a general view we can say epicentres have 244 an spatial random behaviour. However, earthquakes in the crust must be result of a fault 245 slip, so we can conclude that faults exists but have not superficial evidences. 246 247 It is notorious the fact that the 3 biggest earthquakes are far from known geological faults. 248 In the same sense the 2 earthquakes of 1650 appears plotted 55 km apart, but difference 249 time between both is 3 hours, then any seismologist hope the second is an aftershock of the 250 main and both must be located one near the other. Is very rare two big earthquakes occur 251 close in time and in space but from independent geological phenomena. Also chronicles talks 252 of 260 aftershocks felt in the city. Historical chronicles says nothing about location of those 253 aftershocks. Most probably the location of those big earthquakes plus aftershocks happened 254 in the same fault system. 255 256 The 1986/04/05 earthquake had one hundred of aftershocks in an elapse time of 20 days. 257 Twelve of the aftershocks were located in the same fault system of main shock; magnitudes 258 diminishing to less values but focus depth upgoing in surface direction. 259 260 Despite the numerous references to aftershocks in Cusco region they don’t appear in seismic 261 catalogues. This is a declustering operation due to historical procedures. It is not a desirable 262 effect over our data because we need the most complete relation of earthquakes along all the 263 range of magnitudes. 264 We collect also a catalogue of Centroid Moment Tensor (CMT) solutions for earthquakes 265 inside the region of interest. 266 267 Catalogues of seismic intensities are another source of information very useful in this 268 research. CERESIS provides intensities in both formats, impress [24] and digital; the second 269 11
  • 12. catalogue we use is from ISC (via web). Seismic intensities deducted from historical chronicles 270 are presented by Silgado [26] and Alva [24]. 271 GUTENBERG-RICHTER LAW 272 The magnitude-frequencies relationship in essence says the less the magnitude the most the 273 number of events; this is based in empirical observations and is valid for all the world [13]. 274 275 Looking to our bars graph of absolute frequencies (Fig. 8) it is clear what the magnitude- 276 frequencies relationship for Cusco differs from the known shape for all the world. We can 277 explain the low level of frequencies in magnitudes less to 6.0 with reasons exposed in above 278 sections. The key factor could be the sensitivity of seismic networks; without stations close 279 to the city until recent years, low magnitude earthquakes are under-registered. But never- 280 theless the World-Wide Standardized Seismograph Network (WWSSN) since 1960 is able to 281 detect any earthquake with magnitude 5.0 or greater; so we can expect the frequencies of 282 events in the range 5.0-6.1 would be greater than frequency of 6.2 (frequency is used here in 283 the statistical sense, number of occurrences). This is not the case, opening the possibility 284 of an special distribution of seismic frequencies in Cusco founded in an own seismotectonic 285 model. 286 287 It is a established practice in PSHA studies, based in the Poisson model, to make a graphic 288 of the logarithm of the exceedance cumulative relative frequencies versus magnitudes and fit 289 to a curve of form, 290 log(N) = a − b(M) (5) which is known as Gutenberg-Richter law (G-R). 291 292 But, in our case, due to dispersion of data, any interpretation over this curve (Fig. 9) 293 12
  • 13. have no sense; however if we look just to to the fitted curve, log(N) = 1.01 − 0.12 × mw, 294 we can feel the temptation to follow an statistical analysis based in the Poisson model. It 295 is necessary to see also the raw data and their frequencies distribution, finally, a test about 296 compatibility with a Poisson distribution shows us this is not a good way of probabilistic 297 analysis. This statement is substantiated in an analysis of discrepancy regarding Poisson 298 distribution [11] ; the χ2 = 150.68 obtained from seismic data is too large (see table 2), 299 enough to reject the zero hypothesis still with the lowest level of significance. Specifying this 300 conclusion: our seismicity data don’t correspond with a Poisson process. 301 302 By other side the Poisson probabilistic model requires events are random (in time and in 303 space) and independent. Statistical independence implies future earthquake is not linked to 304 occurrence of present earthquake, however Gutenberg and Richter says ”Further, the events 305 are not strictly independent.” [13]. Another fact which breaks any probabilistic model ap- 306 plied to earthquakes is the ”no repeatability” of events [8]. Clustering in time and space it 307 seems to be the normal and universal behaviour of earthquakes in short period of time; but 308 in the long period ”the waiting time until the next earthquake becomes longer the longer 309 one has been waiting for it” [18]; none probability distribution is capable to take account of 310 this phenomenology. 311 312 Historical macroseismic information from Cusco indicates us a lot of aftershocks occur 313 after a big shot. That facts it seems to be conformal to Bath’s law for the decay in the 314 magnitude of aftershocks, and the Omori’s law for the temporal dropping in the number of 315 aftershocks [22]. Apparently there is a magnitude threshold to trigger the swarm of after- 316 shocks; in an empirical way we can say this limit is around 5.0 mw; we have not perceived 317 sequences of tremors after an earthquake of 5.0 or less. 318 319 The G-R law could be an expression of seismic activity at inter-plate zones; how 90% of 320 13
  • 14. earthquakes in the planet Earth occur at inter-plate regions [5] is logical to think it is of uni- 321 versal validity. However we are studying seismicity into a continental plate, and the shape 322 of their magnitudes-frequencies curve is the expression of a different kind of accumulation 323 and release of elastic energy. 324 325 Frequencies in Fig. 8 fails on fit the presumptions of G-R law, however maybe are ex- 326 pressing a characteristic physical (geological) situation of the Cusco region. The mean of 327 magnitudes is 5.4 mw, the median is 5.5, the mode is 6.3. The release of tectonic stresses by 328 mean of earthquakes in the range 5.4-6.3 of magnitudes is the resultant of a defined strength 329 of rocks in the region. 330 331 We know how the contact between South-american plate (continental lithosphere) and 332 Nasca plate (oceanic lithosphere) cumulates energy; Nasca plate is pushing the continental 333 lithosphere, in a direction proximately W-E, and subducting in an amount of 61.9 mm/year 334 [15] . This is a continuous process of accumulation of tectonic stress; if a quantity of energy 335 is liberated in the form of seismic waves by cracking into the plate or by rupture of inter-plate 336 asperities, immediately the driving forces restores the tectonic stress. While in the intraplate 337 Andean region the role of ridge push is minor; being the main source of stresses the effect of 338 topography and its compensating crustal root [16] , so the creation of seismic waves depends 339 on internal strength of rocks. Little amounts of deviatoric stress can’t produce failure in 340 rocks because their internal strength. This can explain why occur few small earthquakes in 341 Cusco region. Most of the rocks in crust below Cusco fails and creates seismic waves in a 342 certain interval of stresses, in the other extreme there are few rocks with high resistance to 343 failure, but when cumulated stress is large enough those rocks trigger big earthquakes. 344 345 14
  • 15. PSHA BY BAYES THEOREM 346 In spite of the Poisson model is not applicable to seismic data in Cusco region, still we 347 have to deliver a result about seismic hazard in the Cusco region. The frequentist theory in 348 statistics no made assumptions related to randomness of process; so this is the way to extract 349 information strictly adjusted to objectivity of data. A probability based in frequencies of 350 occurrence of events says nothing about time or periodicities; we can introduce this as prior 351 data in estimation of probabilities applying the Bayes theorem. 352 We can calculate the probability of an event m occurring t, 353 Pr(m|t) = Pr(m) × Pr(t|m) ∑n i=1 Pr(mi) × Pr(t|mi) (6) In other words, we want to know the probability of occurrence of the earthquake with 354 maximum magnitude m in the elapse time t. Pr(m) is also known as the priori probability, 355 Pr(t|m) is the conditional probability of t given m and in the denominator of formula (6) 356 we put the summation of probabilities for all the magnitudes until the maximum for that 357 elapse time [27] . 358 359 The prior probability is obtained from relative frequencies of earthquakes, in table 3. For 360 example, 6.2 mw earthquakes have the higher probability of occurrence, with 17.6%. But 361 this is a crude probability, without relation to periodicity nor considering the lower (or up- 362 per) magnitude earthquakes. We need to introduce the parameter time in our formulation, 363 because hazard is evaluated at different time lapses. 364 365 The conditional probability is extracted from data of average periodicity, taken the inverse 366 to obtain frequencies and normalized to relative frequency, table 4. The relevant data in this 367 table is in ”T-cum” column; this shows the time return for a given magnitude earthquake, or 368 lower. For example, an earthquake of magnitude 5.0 or lower can occur each 97.7 years. The 369 15
  • 16. conditional probability of 97.7 years against 5.0 mw is 0.26. The first column in the table 370 reach the 6.2 magnitude as maximum, we can’t calculate the return period for an earthquake 371 of magnitude 7.4, which appear in our catalogue, because with two occurrences in one day 372 and related to the same faults system has to be considered one unique event. 373 374 Another interesting data is in ”f-rel” column, this says us the probability of occurrence of 375 an earthquake given their magnitude; for example a 4.1 mw earthquake has 35.7% probabil- 376 ity of occurrence and a 6.2 mw earthquake has 0.8% probability of occurrence. We note this 377 results are best fitted to the G-R law assumptions. But here we lost the reference to time. 378 The conditional probabilities of magnitude as function of return periods is reached through 379 the Bayes theorem. 380 381 The Bayesian probability for the maximum magnitude earthquake, given an elapsed time, 382 is presented in the form of table 5. This is calculated for the expected maximum magnitude 383 in an elapsed time (time counted since the last earthquake of equal or bigger magnitude). 384 For example, in 50 years the expected maximum earthquake is of 4.7 mw and will occur with 385 a probability of 11.5% ; while in 350 years the expected maximum earthquake is of 6.2 mw 386 and will occur with a probability of 3.7%. This looks like a low probability, however we have 387 to interpret in statistical sense: for each 100 earthquakes occurred, 4 could be of magnitude 388 6.2; the others will have lower magnitudes. How many earthquakes can occur in Cusco in 389 350 years ? A lot, most than we think considering the seismic network is badly distributed 390 and undersensitive. 391 392 Acceleration of seismic waves for a given magnitude 393 The acceleration of seismic waves in Cusco is calculated from an empirical formula. Unfortu- 394 nately there is not a formula relating magnitudes and accelerations specifically for Perú. So, 395 16
  • 17. we found a formula developed for interplate earthquakes of Chile and able to take account 396 of short epicentral distances [9], we use in the hope it is also applicable to intraplate zones 397 of Perú, 398 log(α) = c1 + c2mw + c3z + c4∆ − g × log(∆) + c5S ∆ = √ R2 r + R2 m Rm = c610c7mw g = c8 + c9mw S = 1 (7) where α is acceleration; mw is moment magnitude; z is depth of focus; Rr is distance to 399 rupture fault; Rm is a near-source saturation term; g is the geometrical spreading coefficient 400 and S = 1 for soils. We choose the 1 second frequency constants, 401 c1 c2 c3 c4 c5 c6 c7 c8 c9 -3.3352 0.4013 0.0186 -0.0010 0.2839 0.0734 0.3522 1.5149 -0.1030 With these constants we calculate the PGA 402 can occur in Cusco for different magnitudes earthquakes and given a determined epicentral 403 distance in table 6. It is important to note the acceleration can surpass 1 gn with an 404 earthquake 7.4 mw (the maximum registered in Cusco); this will mean great destruction 405 in the city. We can see also with a 5.5 mw earthquake the acceleration is higher than 406 expected by previous PSHA estudies. So, in spite of low probabilities of big earthquakes, 407 the accelerations can reach high values. 408 An attenuation law for intensities 409 We use a preliminary attenuation law in Intensity-magnitude-distance relationship to de- 410 termine maximum distance of epicentres. But that was developed in a different geologic 411 environment; here we propose to find an attenuation law for intensities, fitted to the cur- 412 rent geotectonic conditions of Cusco. The data is extracted from intensities catalogue [24]. 413 Intensities in table 7 were felt in Cusco city. 414 415 17
  • 18. Solving the linear equations system we obtain the attenuation law: 416 I = −0.7482 + 1.2739 × mw − 0.0140 × ∆(km) (8) If we choose the parameters mw = 7.41 and ∆ = 60.0km, the intensity gives us roughly 417 VIII. This result is consistent with the premise in Intensity-magnitude-distance relationship. 418 SOURCES OF TECTONIC STRESSES IN CUSCO 419 Different analysis of tectonic stresses in Andean region shown the main source of stresses are 420 the potential energy due to topographic inhomogeneities [16] [10] ; using the formula given 421 by Artyushkov [2], 422 ∆σ = ρ1gh (9) for an altitude of h = 3200m in Cusco; a density ρ = 2680kg/m3 and an acceleration of 423 gravity g = 9.8m/s2 we can estimate an amount of deviatoric stress of ≈ 84Mpa. A positive 424 stress means a tensional (horizontal) tectonic regime, which is corroborated by normal faults 425 found in the vicinities of Cusco city. 426 427 However the model of Benioff zone found by RF studio [20] under Cusco, shows a new 428 (unknown) source of tectonic stresses originated by the dipping contact between two regions 429 of upper mantle with different densities. This densities were derived from P wave seismic 430 velocities by the relationship, 431 ρ = 520 + 0.36 × Vp. (10) Following the procedure for estimation of deviatoric stresses given by [17] and with the pa- 432 rameters values of Fig. 10, we find ∆σ = −58.8Mpa. The minus sign indicates this stresses 433 are compressive, but their direction is ≈ 90 rotated respect to the previously determined 434 tensional stresses. The resultant direction of both stresses is difficult to define; an evidence 435 18
  • 19. of their interaction are some focal mechanisms solutions of normal fault type with strike slip 436 component (Fig. 6. 437 438 In the calculation of lithostatic pressures in both sides of dipping contact into upper mantle 439 (Fig. 10) we see the masses have different levels of compensation. Then, we can say this 440 region is not isostatically compensated. But, final demonstration of the phenomena is matter 441 of other study. 442 CONCLUSIONS 443 a) Cusco is a seismogenic zone by its own tectonics characteristics. Earthquakes capable to 444 hit the city with enough intensity to produce serious damages to lives and civil structures 445 have to occur in a maximum radius of 60 km around the Main Square of Cusco. 446 b) The main sources of tectonic stresses affecting Cusco are the topographic effect, which 447 produce ≈ 84Mpa of tensional stress in a direction normal to the alignment of Andes 448 Cordillera, and the semi-vertical contact between two regions of upper mantle with dif- 449 ferent densities which produce an compressional stress of ≈ −58.8Mpa; direction of this 450 last stress is the same of contour level lines of flat subduction zone. These are the reasons 451 for which all earthquakes in Cusco have focal mechanism solutions of normal fault type (or 452 normal fault with a small component of strike slip regime). 453 c) Data base of historical and instrumental records of earthquakes in Cusco region don’t 454 fit the requirements of a Poisson process; so, we can’t use the classical PSHA (based in a 455 Poisson model) to estimate seismic hazard parameters. 456 d) We use a frequentist approximation for prior probabilities of seismic events, a deter- 457 ministic return period as conditional probability and a Bayes model for the probability of 458 occurrence of the maximum magnitude earthquake. We hope a 6.2 mw earthquake with a 459 probability of 0.037, in an elapsed time of 400 years after the last earthquake with same 460 19
  • 20. magnitude occurred. There are earthquakes with biggest magnitude occurred historically in 461 Cusco, but how they are unique it is not possible to extrapolate a return period for these 462 earthquakes. 463 e) The mean is 5.4 mw, the median is 5.5 and the mode of absolute frequencies of mag- 464 nitudes is 6.3 for Cusco region. This contradicts the assumptions of G-R law; but can say 465 something about mechanical strength of crustal rocks below Cusco. Those rocks has a frac- 466 ture limit which is reached by deviatoric stresses most than 84 Mpa (producing 5.4 mw or 467 higher earthquakes). 468 f) We found an attenuation law for seismic intensities in Cusco region, I = −0.7482 + 469 1.2739 × mw − 0.0140 × ∆(km). 470 g) The probable maximum acceleration in soil of Cusco, in case of a 7.4 magnitude earth- 471 quake is 1091.8 cm/s2 . This is more than one gravity, so, damages to civil structures and 472 buildings could be serious. 473 CONFLICT OF INTEREST 474 The authors declare that they have no conflict of interest. 475 References 476 [1] Z. Aguilar , M. Roncal , R. Piedra (2017), Probabilistic Seismic Hazard Assessment in 477 the Peruvian Territory, 16th World Conference on Earthquake, 16WCEE. 478 [2] E. V. Artyushkov (1973), Stresses in the Lithosphere Caused by Crustal Thickness In- 479 homogeneities, JOURNAL OF GEOPHYSICAL RESEARCH, 78, NO. 32, 7675-7708. 480 [3] Marcelo Assumpção, Mei Feng, Andrés Tassara, Jordi Julià (2013), Models of crustal 481 thickness for South America from seismic refraction, receiver functions and surface wave 482 tomography, Tectonophysics, 609, 82-96. 483 20
  • 21. [4] W. H. Bakun and C. M. Wentworth (1997), Estimating Earthquake Location and Magni- 484 tude from Seismic Intensity Data, Bulletin of the Seismological Society of America,87,No. 485 6, 1502-1521. 486 [5] Bolt, Bruce (2005), Earthquakes: 2006 Centennial Update – The 1906 Big One (Fifth 487 ed.), W. H. Freeman and Company, p. 150. 488 [6] Thomas Cahill, Bryan L. Isacks (1992), Seismicity and Shape of the Subducted Nazca 489 Plate, Journal of Geophysical Research, 97, NO. B12, 17,503-17,529. 490 [7] U. Chandra (1981), Different Magnitude-Epicentral Intensity Relations and Estima- 491 tion of Maximum Ground Acceleration, International Conferences on Recent Advances 492 in Geotechnical Earthquake Engineering and Soil Dynamics. 493 [8] Heriberta Castaños and Cinna Lomnitz (2002) , PSHA: is it science?, Engineering Geol- 494 ogy, 66, 315–317. 495 [9] V. Contreras, R. Boroschek (2012), Strong Ground Motion Attenuation Relations for 496 Chilean Subduction Zone Interface Earthquakes, 15th World Conference on Earthquake 497 Engineering, Lisboa. 498 [10] Bernard Dalmayrac and Peter Molnar (1981), Parallel thrust and normal faulting in 499 Peru and constraints on the state of stress, Earth and Planetary Science Letters, 5, 473- 500 481. 501 [11] R. A. Fisher (1950), The Significance of Deviations from Expectation in a Poisson Series, 502 Biometrics, 6, No. 1 , 17-24. 503 [12] Di Giacomo, D., I. Bondár, D.A. Storchak, E.R. Engdahl, P. Bormann and J. Har- 504 ris (2015), ISC-GEM: Global Instrumental Earthquake catalogue (1900-2009): III. Re- 505 computed MS and mb, proxy MW, final magnitude composition and completeness assess- 506 ment, Phys. Earth Planet. Int., 239, 33-47. 507 21
  • 22. [13] B. Gutenberg and C. F. Richter (1944), Frequency of earthquakes in California, Bulletin 508 of the Seismological Society of America, 34, 4, 185-188. 509 [14] David Huamán Rodrigo (1987), Aspectos sismotectonicos del sismo del Cusco del 5 de 510 abril de 1986, Congress about Cusco april/5/1986 earthquake. 511 [15] Eric Kendrick et al. (2003), The Nazca –South America Euler vector and its rate of 512 change, Journal of South American Earth Sciences, 16, 125-131. 513 [16] P.Th. Meijer , R. Govers, M.J.R. Wortel ( 1997), Forces controlling the present-day 514 state of stress in the Andes, Earth and Planetary Science Letters 148, I57- 170. 515 [17] Peter Molnar and Hélène Lyon-Caen (1988), Some simple physical aspects of the sup- 516 port, structure, and evolution of mountain belts, Geol. Soc. Am. Spec. Pap. 218, 179-207. 517 [18] Francesco Mulargia, Philip B. Stark, Robert J. Geller (2017), Why is Probabilistic 518 Seismic Hazard Analysis (PSHA) still used?, Physics of the Earth and Planetary Interiors, 519 264, 63–75. 520 [19] Mark D. Petersen, Stephen C. Harmsen, Kishor S. Jaiswal, Kenneth S. Rukstales, Nico- 521 las Luco, Kathleen M. Haller, Charles S. Mueller, and Allison M. Shumway (2018), Seis- 522 mic Hazard, Risk, and Design for South America, Bulletin of the Seismological Society of 523 America, 108 No. 2, 781–800. 524 [20] Kristin Phillips and Robert W. Clayton (2014), Structure of the subduction transition 525 region from seismic array data in southern Peru, Geophys. J. Int. , 196, 1889–1905. 526 [21] M. A. Rodríguez-Pascua, C. Benavente Escobar, L. Rosell Guevara, C. Grützner, L. 527 Audin, R. Walker, B. García, E. Aguirre (2020), Did earthquakes strike Machu Picchu?, 528 J Seismol, 24, 883–895. 529 [22] Robert Shcherbakov, Donald L. Turcotte, John B. Rundle (2004), A generalized Omori’s 530 law for earthquake aftershock decay, Geophysical Research Letters, 31, L11613. 531 22
  • 23. [23] E.M. Scordilis (2006), Empirical global relations converting MS and mb to moment 532 magnitude, Journal of Seismology, 10, 225-236. 533 [24] Seismological Center for the region of South America (CERESIS) (1985), Earthquake 534 mitigation program in the Andean Region, 14 Vols. CERESIS, Lima. 535 [25] Sunil Sharma and Mario Candia-Gallegos (1992), Seismic hazard analysis of Peru, En- 536 gineering Geology, 32 , 73-79. 537 [26] Enrique Silgado (1978), Historia de los sismos mas notables ocurridos en el Perú (1513- 538 1974), pp. 111. Instituto de Geologia y Mineria, Lima. 539 [27] J. P. Wang, Su-Chin Chang and Yun Xu (2016), Best-Estimate Return Period of the 540 Sanchiao Earthquake in Taipei: Bayesian Approach, Nat. Hazards Rev., 06015001, 1-5. 541 [28] Young, J.B., Presgrave, B.W., Aichele, H., Wiens, D.A. and Flinn, E.A. ( 1996), The 542 Flinn-Engdahl Regionalisation Scheme: the 1995 revision, Physics of the Earth and Plan- 543 etary Interiors, 96, 223-297. 544 23
  • 24. Figure 1: Picture of the epoch showing damages to Cusco city from 1650 earthquake.Source: Life. Figure 2: News about earthquake of 1950 in Cusco.Source: El Comercio. 24
  • 25. Figure 3: Part of Santo Domingo church fell down in 1950.Source: Life −80˚ −80˚ −79˚ −79˚ −78˚ −78˚ −77˚ −77˚ −76˚ −76˚ −75˚ −75˚ −74˚ −74˚ −73˚ −73˚ −72˚ −72˚ −71˚ −71˚ −70˚ −70˚ −69˚ −69˚ −15˚ −15˚ −14˚ −14˚ −13˚ −13˚ −12˚ −12˚ −11˚ −11˚ −10˚ −10˚ Cusco 3 5 4 0 45 50 55 60 40 3 0 Figure 4: Moho depth under the region of Cusco. Dashed lines shows thickness of crust, below Cusco it is more than 60 km. Source of data: [3] 25
  • 26. −80˚ −80˚ −79˚ −79˚ −78˚ −78˚ −77˚ −77˚ −76˚ −76˚ −75˚ −75˚ −74˚ −74˚ −73˚ −73˚ −72˚ −72˚ −71˚ −71˚ −70˚ −70˚ −69˚ −69˚ −15˚ −15˚ −14˚ −14˚ −13˚ −13˚ −12˚ −12˚ −11˚ −11˚ −10˚ −10˚ Cusco 5 0 7 5 1 0 0 1 2 5 1 5 0 6 0 0 t r e n c h Figure 5: Nasca plate flexure below Cusco region.Source of Benioff contour lines: [6] −72˚30' −72˚30' −72˚00' −72˚00' −71˚30' −71˚30' −14˚00' −14˚00' −13˚30' −13˚30' −13˚00' −13˚00' Cusco 1 2 3 Figure 6: Focal mechanisms in region of Cusco and the stress tensor.Axis of main stress σ1 is indicated by number 1; the others main stresses are indicated in the same way. Red dashed lines are fault systems recognized in the region. −72˚30' −72˚30' −72˚15' −72˚15' −72˚00' −72˚00' −71˚45' −71˚45' −71˚30' −71˚30' −71˚15' −71˚15' −14˚15' −14˚15' −14˚00' −14˚00' −13˚45' −13˚45' −13˚30' −13˚30' −13˚15' −13˚15' −13˚00' −13˚00' 669 789 909 1029 1149 1269 1389 1509 1629 1749 1869 1989 2109 2229 2349 2469 2589 2709 2829 2949 3069 3189 3309 3429 3549 3669 3789 3909 4029 4149 4269 4389 4509 4629 4749 4869 4989 5109 5229 5349 5469 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 Cusco Urubamba Urcos Machu−picchu Cotabambas Figure 7: Epicentres of earthquakes accomplishing constraints for our catalogue are plotted with red balls, numbers are from table ??; size of symbols are proportional to magnitude. Black dashed lines are fault systems crossing the region.Scale color bar is for altitude in meters. 26
  • 27. 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 magnitude - mw 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 frequency earthquakes frequency Figure 8: Frequencies (number of events) of earthquakes in function of magnitude. 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 magnitude - mw 0.0 0.5 1.0 1.5 log(N) observed earthquakes log(N)=1.01-0.12*mw Figure 9: G-R equation fitting seismicity data of Cusco. 27
  • 28. 0 50 100 150 200 250 depth (km) 0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 distance (km) Cusco Juliaca crust Moho mantle Benioff zone Vp=6 km/s ρc=2680 kg/m3 Vp=7.5 km/s ρm=3220 kg/m3 Vp=8.0 km/s ρa=3400 kg/m3 Figure 10: Model of subduction transition region below Cusco. Modified from [20] 28
  • 29. Table 1: Catalogue of earthquakes into region of Cusco. Nr year month day hour min sec Lat Lon dep magn type magn mw hyp. 1 1590 1 1 0 0 0.0 -13.500 -71.900 15.0 6.2 Mm 6.2 mw 1 2 1650 3 31 16 10 0.0 -13.600 -72.200 70.0 7.4 Mm 7.4 mw 7 3 1650 3 31 19 0 0.0 -13.500 -71.700 30.0 7.2 Mm 7.2 mw 4 4 1718 8 3 11 0 0.0 -13.550 -71.519 33.0 6.2 Mm 6.2 mw 5 5 1720 4 22 3 0 0.0 -13.550 -71.519 33.0 6.2 Mm 6.2 mw 5 6 1742 3 25 2 0 0.0 -13.600 -72.000 33.0 6.2 Mm 6.2 mw 3 7 1743 5 9 18 15 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3 8 1744 11 14 11 30 0.0 -13.500 -72.000 10.0 6.5 Mm 6.5 mw 1 9 1744 11 19 11 30 0.0 -13.770 -72.099 20.0 5.3 Mm 5.3 mw 3 10 1746 2 11 0 0 0.0 -14.000 -71.700 20.0 5.2 Mm 5.2 mw 6 11 1746 2 9 13 0 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3 12 1747 1 8 14 0 0.0 -13.600 -71.900 33.0 6.2 Mm 6.2 mw 3 13 1747 3 19 0 0 0.0 -13.500 -71.599 33.0 6.2 Mm 6.2 mw 5 14 1804 4 22 0 0 0.0 -13.500 -72.000 33.0 6.2 Mm 6.2 mw 3 15 1870 3 28 17 40 0.0 -13.550 -72.000 33.0 6.2 Mm 6.2 mw 3 16 1905 1 23 11 15 0.0 -13.670 -71.870 7.0 6.2 Mw 6.2 mw 2 17 1928 5 17 10 55 0.0 -13.000 -72.000 33.0 6.2 Mw 6.2 mw 6 18 1941 9 18 13 14 10.0 -13.834 -72.305 60.0 6.4 Mw 6.4 mw 7 19 1950 5 21 18 37 40.0 -13.500 -72.000 10.0 6.2 Mb 6.3 mw 1 20 1963 8 18 23 7 54.0 -14.200 -71.900 31.0 4.6 Mb 4.9 mw 8 21 1964 10 17 7 45 33.0 -13.460 -72.600 44.0 4.6 Mb 4.9 mw 8 22 1964 6 28 5 52 34.7 -13.800 -71.700 33.0 3.8 Mb 4.3 mw 5 23 1965 5 8 22 22 39.0 -13.700 -71.600 20.0 4.6 Mb 4.9 mw 4 24 1965 6 5 20 41 9.0 -13.740 -71.600 73.0 4.3 Mb 4.7 mw 8 25 1969 10 20 8 47 38.0 -13.500 -72.400 33.0 4.3 Mb 4.7 mw 5 26 1969 8 1 19 32 13.0 -13.540 -72.580 47.0 4.7 Mb 5.0 mw 8 27 1971 3 21 14 31 38.0 -14.160 -72.188 33.0 5.8 Mb 6.0 mw 8 28 1972 2 8 20 44 10.5 -14.136 -71.665 64.0 4.8 Mb 5.1 mw 9 29 1972 7 2 16 46 43.0 -12.995 -72.257 33.0 3.9 Mb 4.3 mw 7 30 1973 10 25 14 49 52.0 -13.636 -72.355 33.0 5.5 Mb 5.7 mw 5 31 1973 10 31 6 13 6.8 -13.892 -71.381 33.0 4.3 Mb 4.7 mw 8 32 1973 8 3 7 32 20.7 -13.737 -71.871 33.0 3.6 Mb 4.1 mw 4 33 1974 4 17 2 1 32.8 -13.662 -71.936 33.0 3.8 Mb 4.3 mw 3 34 1978 1 21 13 29 40.0 -13.016 -71.526 71.0 5.6 Mb 5.8 mw 1 35 1980 6 3 19 17 40.0 -13.314 -72.490 18.0 5.3 Ms 5.6 mw 6 36 1982 10 8 1 14 3.0 -14.070 -72.100 33.0 4.8 Mb 5.1 mw 7 37 1986 10 21 17 19 48.0 -13.390 -72.370 37.0 4.8 Mb 5.1 mw 5 38 1986 4 5 20 14 29.2 -13.410 -71.810 50.9 5.2 Mw 5.2 mw 5 39 1986 9 25 15 25 50.0 -13.577 -71.353 85.0 4.3 Mb 4.7 mw 1 40 1987 4 15 9 4 26.0 -14.020 -71.940 33.0 5.3 Mb 5.6 mw 6 41 1987 7 23 11 46 30.0 -13.372 -71.332 33.0 5.3 Mb 5.6 mw 7 42 1990 8 31 12 4 32.0 -13.875 -72.466 66.4 3.9 Mb 4.3 mw 9 43 1991 2 20 7 15 17.0 -13.116 -72.311 33.0 3.9 Mb 4.3 mw 6 44 1991 3 3 15 14 20.0 -13.433 -72.258 33.0 3.7 Mb 4.2 mw 4 45 1991 7 6 12 19 49.6 -13.108 -72.187 33.5 7.0 Mw 7.0 mw 6 46 1996 12 2 21 53 48.0 -13.363 -72.137 33.0 4.4 Mb 4.8 mw 4 29
  • 30. Table 2: Values of discrepancy and total dispersion referred to a Poisson distribution. mw f f expected (f − fexpected)2 /fexpected 4.0 1 11.0 9.1 4.1 2 11.2 7.5 4.2 2 11.3 7.7 4.3 4 11.5 4.9 4.6 4 11.7 5.1 4.7 4 11.8 5.1 4.8 2 11.8 8.1 4.9 3 11.8 6.6 5.0 2 11.8 8.1 5.1 5 11.7 3.9 5.2 6 11.7 2.8 5.3 3 11.6 6.4 5.4 2 11.5 7.8 5.5 3 11.4 6.2 5.6 2 11.2 7.6 5.7 4 11.1 4.5 5.9 1 10.7 8.8 6.2 12 10.1 0.4 6.3 1 9.9 8.0 6.4 1 9.6 7.7 6.5 1 9.4 7.5 7.0 1 8.1 6.2 7.2 1 7.5 5.6 7.4 1 7.0 5.1 χ2 150.68 30
  • 31. Table 3: List of magnitudes mw and relative frequencies. mw f-rel 4.0 0.0147059 4.1 0.0294118 4.2 0.0294118 4.3 0.0588235 4.6 0.0588235 4.7 0.0588235 4.8 0.0294118 4.9 0.0441176 5.0 0.0294118 5.1 0.0735294 5.2 0.0882353 5.3 0.0441176 5.4 0.0294118 5.5 0.0441176 5.6 0.0294118 5.7 0.0588235 5.9 0.0147059 6.2 0.176471 6.3 0.0147059 6.4 0.0147059 6.5 0.0147059 7.0 0.0147059 7.2 0.0147059 7.4 0.0147059 31
  • 32. Table 4: Average periodicity of earthquakes and derived parameters. mw T-cum T-rel 1/T f-rel 4.1 8.95 0.0242524 41.233 0.357051 4.2 18.75 0.0508082 19.6819 0.170433 4.3 30.957 0.0838864 11.9209 0.103227 4.6 45.967 0.12456 8.02826 0.0695196 4.7 56.467 0.153013 6.53541 0.0565925 4.8 62.877 0.170382 5.86916 0.0508232 4.9 63.737 0.172713 5.78997 0.0501374 5.0 97.757 0.264899 3.77502 0.0326893 5.1 107.574 0.291501 3.43052 0.0297061 5.2 161.454 0.437503 2.2857 0.0197927 5.3 293.764 0.796033 1.25623 0.0108781 5.4 297.224 0.805409 1.24161 0.0107515 5.5 305.384 0.82752 1.20843 0.0104642 5.6 325.084 0.880903 1.1352 0.0098301 5.7 338.274 0.916645 1.09094 0.00944684 6.2 369.035 1 1 0.00865936 Table 5: Probability of occurrence of the maximum magnitude earthquake mw given the time t (years). t/mw 4.7 5.1 5.2 5.3 5.3 5.5 6.2 6.2 50.0 0.115 100.0 0.061 150.0 0.046 200.0 0.013 250.0 0.0126 300.0 0.012 350.0 0.037 400.0 0.037 Table 6: Maximum accelerations in cm/s2 , for a focus depth 70 km. mw/∆ km 10.0 20.0 30.0 40.0 50.0 60.0 4.7 115.3 57.6 37.4 27.2 21.2 17.2 5.1 175.4 93.0 61.8 45.7 35.9 29.3 5.2 194.1 104.8 70.1 52.0 41.0 33.5 5.3 214.3 117.9 79.4 59.1 46.7 38.3 5.5 259.6 148.9 101.8 76.5 60.8 50.1 6.2 472.4 324.2 237.9 185.7 151.3 126.9 7.4 1091.8 985.3 864.2 753.8 660.8 584.0 32
  • 33. Table 7: Intensities (MSK), moment magnitude and epicentral distance . I(MSK) mw ∆ ° ∆ km 5 7.8 2.7066 301.24 3 8.2 4.1765 464.83 3 7.3 4.2221 469.94 8 6.0 0.0389 4.33 3 7.0 3.7439 416.69 3 7.5 2.4613 274.13 4 4.9 0.5592 62.24 6 5.4 0.1839 20.47 4 6.4 1.487 165.50 9 7.41 0.2435 27.106 33