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THE URBAN HEAT ISLAND ESTIMATE – SCIENTIFIC BACKGROUND
UHI IS STRONGLY RELATED TO THE RAPIDLY GROWING URBAN
POPULATION AND GREATLY DEPENDS ON SITE CHARACTERISTICS
A FEW STUDIES FOR ROME
WHERE
THE FREQUENCY OF EXTREME HEAT WAVES IS INCREASED THEN
REINFORCING THE UHI
UHI IS ALSO A CRITICAL FACTOR FOR AIR
QUALITY AND ENERGY CONSUMPTION
MANAGEMENT
THE URBAN HEAT ISLAND (UHI) IN BIG
CITIES INFLUENCES HEALTH AND LIFE
CONDITION OF POPULATION
THE URBAN HEAT ISLAND ESTIMATE – SCIENTIFIC BACKGROUND
NUMERICAL MODELS ARE USED TO INVESTIGATE THE SPATIAL-
TEMPORAL BEHAVIOR OF THE UHI
BUT
TO PROPERLY PARAMETRIZE THE URBAN EFFECTS, SURFACE PROPERTIES
(ALBEDO, EMISSIVITY, ROUGHNESS, ETC.) ARE NEEDED.
UHIBON-CDG =TBON –TCDG
UHIBON-TVG =TBON –TTVG
~20 km
THE STUDY AREA – THE METROPOLITAN CITY OF ROME (LATIUM) - ITALY
Boncompagni (BON): Urban site (Lat: 41.91, Lon: 12.50)
Castel di Guido (CDG): Coastal/Rural (Lat: 41.89, Lon: 12.27)
Tor Vergata (TVG): Rural/Sub-urban (Lat: 41.84, Lon: 12.65)
Positive UHI values occur most of the
time UHI peaks at 1 °C
ESTIMATE OF THE UHI (UHI=Turban - Trural/suburban)
UHI DISTRIBUTION (2013-2015)
Dataset: ARPA LAZIO (Regional Agency for the Environmental Protection)
Micro-meteorological Stations (2013-2015)
Micro-meteorological Stations measure
T,RH,P,WS,WD,SW and LW radiation
components, H0, u*,TKE,u,v,w
TVG
CDGBON
BON
SW, LW RAD
• City is always warmer then its surroundings
• The minimum is reached on average at 9:00 ST
HOURLY AVERAGES OF AIR TEMPERATURE AND ITS ANOMALIES FOR
URBAN/COASTAL AND URBAN/SUBURBAN SITES
(the stdev represents the annual variability at a given hour)
STRONGER ANOMALIES IN THE NIGHTTIME AND IN SUMMER SEA
BREEZE AFFECTS THE UHI PATTERN
INFLUENCE OF SEA BREEZE
UHI AS FUNCTION OF MONTH AND TIME (ST)
• The city always experienced lower wind speed than its surroundings (lower ventilation)
• CDG is strongly affected by the sea breeze
HOURLY AVERAGES OF WIND SPEED ITS ANOMALIES FOR
URBAN/COASTAL AND URBAN/SUBURBAN SITES
(the stdev represents the annual variability at a given hour)
WS ANOMALIES AS FUNCTION OF MONTH AND TIME (ST)
POLAR DISTRIBUTION (15°SECTORS)
INFLUENCE OF SEA-BREEZE ON UHI
INCREASING WIND SPEEDS ARE RESPONSIBLE FOR STRONGER
TEMPERATURE ANOMALIES BETWEEN URBAN AND COASTAL SITES
UHI BON-CDGWIND AT CDG
TROPICAL NIGHTS (TR) AND SUMMER DAYS (SU) INDICES
TR (days with TNij > 20°C) SU (days with TXij > 25°C)
TVG CDG BON TVG CDG BON
2013 23 27 51 118 86 119
2014 17 19 49 117 93 123
2015 60 62 75 125 115 133
mean 33 36 58 120 98 125
•the city center experiences higher values, particularly regarding the TR (76-67 % more);
•differences get low considering SU (explains a more general climatic characteristic of the
area with a threshold (25°C) most appropriate for the intermediate seasons);
•differences are higher between the city center and the coastal site due to the mitigation
effects of the sea over CDG.
•2015 summer heat waves (Dong et al., 2016) - increasing the number of TR in the
suburban/coastal sites with respect to the city center.
INFLUENCE OF RADIATIVE AND MICRO-METEOROLOGICAL PARAMETERS
ON UHI AT ROME
AMONG OTHERS:
1. ALBEDO
2. ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT
3. DRAG COEFFICIENT
WE BELIEVE ON THE NEED TO GIVE A BETTER REPRESENTATION OF THE
URBAN PBL SCHEMES IN MODELS TO REPRESENT THE COMPLEX URBAN
PROCESSES; THAT IS WHY WE ESTIMATE RELEVANT PARAMETERS FROM
MICRO-METEOROLOGICAL STATIONS OVER THE METROPOLITAN AREA
OF ROME
AMONG OTHERS:
1. ALBEDO
2. ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT
3. DRAG COEFFICIENT
ALBEDO AS FUNCTION OF THE SOLAR ELEVATION ANGLE 
Sites A0
Boncompagni (BON) - URBAN 0.3016
Tor Vergata (TVG) – SUBURBAN/RURAL 0.1673
Castel di Guido (CDG) – COASTAL/RURAL 0.1640
THE AVERAGED INTEGRAL ALBEDO COEFFICIENT FOR THE SUBURBAN/RURAL SITE EXHIBIT THE SAME BEHAVIOR (AS
FUNCTION OF  AND AS ABSOLUTE VALUES) WHILE FOR BON, THE URBAN SITE, VALUES ARE CONSISTENTLY HIGHER
(ASSOCIATED TO A HIGHER REFLECTIVITY OF THE SURFACES) BUT LESS DEPENDENT FROM THE ELEVATION ANGLE
A0 IS THE COEFFICIENT CORRESPONDING TO THE SOLAR
ZENITH POSITION
Sector d mean (m) d median (m) z0 mean (m) z0 median (m)
N 14,265 14,954 1,901 1,931
N-E 16,397 17,593 1,631 1,654
E 12,021 11,675 1,924 1,969
S-E 11,992 12,38 1,04 1,005
S 17,766 19,149 1,348 1,373
S-W 16,089 17,144 1,377 1,348
W 13,904 14,674 1,263 1,255
N-W 12,852 13,646 1,458 1,365
Zero-plane displacement height
and roughness length for BON
Sector Mean z0 25° Percentile 50° Percentile 75° Percentile Number of data
N 0,175 0,047 0,085 0,173 2597
N-E 0,199 0,046 0,097 0,206 2397
E 0,236 0,074 0,155 0,267 3004
S-E 0,324 0,095 0,219 0,421 2660
S 0,512 0,347 0,476 0,625 5305
S-W 0,189 0,069 0,13 0,233 6856
W 0,175 0,031 0,063 0,145 2373
N-W 0,274 0,059 0,126 0,332 1670
Roughness length (m) for TVG
Sector Mean z0
25°
Percentile
50°
Percentile
75°
Percentile Number of data
N 1,299 0,998 1,362 1,673 3835
N-E 0,492 0,091 0,269 0,754 9624
E 0,155 0,048 0,096 0,18 4010
S-E 0,182 0,087 0,137 0,212 3546
S 0,212 0,102 0,16 0,241 2583
S-W 0,383 0,197 0,331 0,496 3751
W 0,427 0,252 0,363 0,54 7221
N-W 0,626 0,294 0,555 0,87 1408
Roughness length (m) for CDG
ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT
POLAR DISTRIBUTION OF
ROUGHNESS (45°SECTORS)
BON CDGTVG
DRAG COEFFICIENET
FOR FLUIDS THE FLOW TURBULENT STRESS IS PROPORTIONAL TO WIND SPEED SQUARED.
STRESS IS GREATER OVER ROUGHER SURFACE
𝒖 ∗
𝟐
= 𝑪 𝑫 ∗ 𝑴 𝟏𝟎
𝟐
CD THE DRAG COEFFICIENT AND M10 THE WIND SPEED AT 10 m
THE DRAG COEFFICIENT RANGES FROM 2*10-3 OVER SMOOTH SURFACE TO 2*10-2 OVER ROUGH TO FORESTED SURFACE;
CDG AND TVG HAVE VALUES CORRESPONDING TO A ROUGH SURFACE BUT,
BON CD IS THREE TIMES LARGER!
REMARKS AND FUTURE WORK
A FEW WORKS ARE DEDICATED TO THE UHI CHARACTERIZATION IN ROME USING A COMPREHENSIVE
APPROACH WHICH INCLUDED MEASUREMENTS, MODELS AND SATELLITE DATA.
A COMPLETE DESCRIPTION OF THE UHI IS NEEDED AND MICROMETEOROLOGICAL MEASUREMENTS WILL ADD
VALUES THROUGH THE ESTIMATION OF SEVERAL CRUCIAL PARAMETERS IN PBL SCHEMES OVER URBAN
AREAS
LIFE CLIMATE CHANGE ADAPTATION PROJECT
ASTI
Implementation of a forecAsting System for urban heaT
Island effect for the development of urban adaptation
strategies. 09/2018 – 09/2021

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Interazione tra isola di calore urbana e la variabilità micrometeorologica in Roma

  • 1.
  • 2. THE URBAN HEAT ISLAND ESTIMATE – SCIENTIFIC BACKGROUND UHI IS STRONGLY RELATED TO THE RAPIDLY GROWING URBAN POPULATION AND GREATLY DEPENDS ON SITE CHARACTERISTICS A FEW STUDIES FOR ROME WHERE THE FREQUENCY OF EXTREME HEAT WAVES IS INCREASED THEN REINFORCING THE UHI UHI IS ALSO A CRITICAL FACTOR FOR AIR QUALITY AND ENERGY CONSUMPTION MANAGEMENT THE URBAN HEAT ISLAND (UHI) IN BIG CITIES INFLUENCES HEALTH AND LIFE CONDITION OF POPULATION
  • 3. THE URBAN HEAT ISLAND ESTIMATE – SCIENTIFIC BACKGROUND NUMERICAL MODELS ARE USED TO INVESTIGATE THE SPATIAL- TEMPORAL BEHAVIOR OF THE UHI BUT TO PROPERLY PARAMETRIZE THE URBAN EFFECTS, SURFACE PROPERTIES (ALBEDO, EMISSIVITY, ROUGHNESS, ETC.) ARE NEEDED.
  • 4. UHIBON-CDG =TBON –TCDG UHIBON-TVG =TBON –TTVG ~20 km THE STUDY AREA – THE METROPOLITAN CITY OF ROME (LATIUM) - ITALY Boncompagni (BON): Urban site (Lat: 41.91, Lon: 12.50) Castel di Guido (CDG): Coastal/Rural (Lat: 41.89, Lon: 12.27) Tor Vergata (TVG): Rural/Sub-urban (Lat: 41.84, Lon: 12.65)
  • 5. Positive UHI values occur most of the time UHI peaks at 1 °C ESTIMATE OF THE UHI (UHI=Turban - Trural/suburban) UHI DISTRIBUTION (2013-2015) Dataset: ARPA LAZIO (Regional Agency for the Environmental Protection) Micro-meteorological Stations (2013-2015) Micro-meteorological Stations measure T,RH,P,WS,WD,SW and LW radiation components, H0, u*,TKE,u,v,w TVG CDGBON BON SW, LW RAD
  • 6. • City is always warmer then its surroundings • The minimum is reached on average at 9:00 ST HOURLY AVERAGES OF AIR TEMPERATURE AND ITS ANOMALIES FOR URBAN/COASTAL AND URBAN/SUBURBAN SITES (the stdev represents the annual variability at a given hour) STRONGER ANOMALIES IN THE NIGHTTIME AND IN SUMMER SEA BREEZE AFFECTS THE UHI PATTERN INFLUENCE OF SEA BREEZE UHI AS FUNCTION OF MONTH AND TIME (ST)
  • 7. • The city always experienced lower wind speed than its surroundings (lower ventilation) • CDG is strongly affected by the sea breeze HOURLY AVERAGES OF WIND SPEED ITS ANOMALIES FOR URBAN/COASTAL AND URBAN/SUBURBAN SITES (the stdev represents the annual variability at a given hour) WS ANOMALIES AS FUNCTION OF MONTH AND TIME (ST)
  • 8. POLAR DISTRIBUTION (15°SECTORS) INFLUENCE OF SEA-BREEZE ON UHI INCREASING WIND SPEEDS ARE RESPONSIBLE FOR STRONGER TEMPERATURE ANOMALIES BETWEEN URBAN AND COASTAL SITES UHI BON-CDGWIND AT CDG
  • 9. TROPICAL NIGHTS (TR) AND SUMMER DAYS (SU) INDICES TR (days with TNij > 20°C) SU (days with TXij > 25°C) TVG CDG BON TVG CDG BON 2013 23 27 51 118 86 119 2014 17 19 49 117 93 123 2015 60 62 75 125 115 133 mean 33 36 58 120 98 125 •the city center experiences higher values, particularly regarding the TR (76-67 % more); •differences get low considering SU (explains a more general climatic characteristic of the area with a threshold (25°C) most appropriate for the intermediate seasons); •differences are higher between the city center and the coastal site due to the mitigation effects of the sea over CDG. •2015 summer heat waves (Dong et al., 2016) - increasing the number of TR in the suburban/coastal sites with respect to the city center.
  • 10. INFLUENCE OF RADIATIVE AND MICRO-METEOROLOGICAL PARAMETERS ON UHI AT ROME AMONG OTHERS: 1. ALBEDO 2. ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT 3. DRAG COEFFICIENT WE BELIEVE ON THE NEED TO GIVE A BETTER REPRESENTATION OF THE URBAN PBL SCHEMES IN MODELS TO REPRESENT THE COMPLEX URBAN PROCESSES; THAT IS WHY WE ESTIMATE RELEVANT PARAMETERS FROM MICRO-METEOROLOGICAL STATIONS OVER THE METROPOLITAN AREA OF ROME AMONG OTHERS: 1. ALBEDO 2. ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT 3. DRAG COEFFICIENT
  • 11. ALBEDO AS FUNCTION OF THE SOLAR ELEVATION ANGLE  Sites A0 Boncompagni (BON) - URBAN 0.3016 Tor Vergata (TVG) – SUBURBAN/RURAL 0.1673 Castel di Guido (CDG) – COASTAL/RURAL 0.1640 THE AVERAGED INTEGRAL ALBEDO COEFFICIENT FOR THE SUBURBAN/RURAL SITE EXHIBIT THE SAME BEHAVIOR (AS FUNCTION OF  AND AS ABSOLUTE VALUES) WHILE FOR BON, THE URBAN SITE, VALUES ARE CONSISTENTLY HIGHER (ASSOCIATED TO A HIGHER REFLECTIVITY OF THE SURFACES) BUT LESS DEPENDENT FROM THE ELEVATION ANGLE A0 IS THE COEFFICIENT CORRESPONDING TO THE SOLAR ZENITH POSITION
  • 12. Sector d mean (m) d median (m) z0 mean (m) z0 median (m) N 14,265 14,954 1,901 1,931 N-E 16,397 17,593 1,631 1,654 E 12,021 11,675 1,924 1,969 S-E 11,992 12,38 1,04 1,005 S 17,766 19,149 1,348 1,373 S-W 16,089 17,144 1,377 1,348 W 13,904 14,674 1,263 1,255 N-W 12,852 13,646 1,458 1,365 Zero-plane displacement height and roughness length for BON Sector Mean z0 25° Percentile 50° Percentile 75° Percentile Number of data N 0,175 0,047 0,085 0,173 2597 N-E 0,199 0,046 0,097 0,206 2397 E 0,236 0,074 0,155 0,267 3004 S-E 0,324 0,095 0,219 0,421 2660 S 0,512 0,347 0,476 0,625 5305 S-W 0,189 0,069 0,13 0,233 6856 W 0,175 0,031 0,063 0,145 2373 N-W 0,274 0,059 0,126 0,332 1670 Roughness length (m) for TVG Sector Mean z0 25° Percentile 50° Percentile 75° Percentile Number of data N 1,299 0,998 1,362 1,673 3835 N-E 0,492 0,091 0,269 0,754 9624 E 0,155 0,048 0,096 0,18 4010 S-E 0,182 0,087 0,137 0,212 3546 S 0,212 0,102 0,16 0,241 2583 S-W 0,383 0,197 0,331 0,496 3751 W 0,427 0,252 0,363 0,54 7221 N-W 0,626 0,294 0,555 0,87 1408 Roughness length (m) for CDG ROUGHNESS LENGTH AND ZERO DISPLACEMENT HEIGHT POLAR DISTRIBUTION OF ROUGHNESS (45°SECTORS) BON CDGTVG
  • 13. DRAG COEFFICIENET FOR FLUIDS THE FLOW TURBULENT STRESS IS PROPORTIONAL TO WIND SPEED SQUARED. STRESS IS GREATER OVER ROUGHER SURFACE 𝒖 ∗ 𝟐 = 𝑪 𝑫 ∗ 𝑴 𝟏𝟎 𝟐 CD THE DRAG COEFFICIENT AND M10 THE WIND SPEED AT 10 m THE DRAG COEFFICIENT RANGES FROM 2*10-3 OVER SMOOTH SURFACE TO 2*10-2 OVER ROUGH TO FORESTED SURFACE; CDG AND TVG HAVE VALUES CORRESPONDING TO A ROUGH SURFACE BUT, BON CD IS THREE TIMES LARGER!
  • 14. REMARKS AND FUTURE WORK A FEW WORKS ARE DEDICATED TO THE UHI CHARACTERIZATION IN ROME USING A COMPREHENSIVE APPROACH WHICH INCLUDED MEASUREMENTS, MODELS AND SATELLITE DATA. A COMPLETE DESCRIPTION OF THE UHI IS NEEDED AND MICROMETEOROLOGICAL MEASUREMENTS WILL ADD VALUES THROUGH THE ESTIMATION OF SEVERAL CRUCIAL PARAMETERS IN PBL SCHEMES OVER URBAN AREAS LIFE CLIMATE CHANGE ADAPTATION PROJECT ASTI Implementation of a forecAsting System for urban heaT Island effect for the development of urban adaptation strategies. 09/2018 – 09/2021