GEOtop_Lafouly
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GEOtop_Lafouly

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GEOtop application to La Fouly basin in Switzerland with included new real-time I/O

GEOtop application to La Fouly basin in Switzerland with included new real-time I/O

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GEOtop_Lafouly GEOtop_Lafouly Presentation Transcript

  • HYDROSYS PROJECT
OVERVIEW
&
APPLICATIONS EPFL‐EFLUM
Dec.
10th
2009
  • Project
Goals
  • Project
Goals  Enabling
on‐site
data
collec0on,
visualiza0on
and
transfer
to
support
new
 ways
of
observing
environmental
processes.  Providing
a
system
infrastructure
to
support
teams
of
users
in
the
on‐site
 monitoring
of
events
and
analysis
of
natural
resources.
It
introduces
the
 innova0ve
concept
of
event‐driven
campaigns
using
handheld
devices,
 poten0ally
supported
by
an
unmanned
aerial
vehicle
(UAV).  Improving
monitoring
and
management
for
environmental
scien0sts,
 ins0tu0ons,
service
providers,
engineering
companies
and
municipali0es
 through
its
strong
integra0on
of
handhelds,
sensor
networks
and
modeling.  
www.hydrosysonline.eu

  • La Fouly: GEOtop application to an instrumented watershed in the Valais Silvia Simoni Environmental Fluid Mechanics Department - EPFL
  • Outline 1. Rationale for using a 3D-physically based model Data spatial variability 2. GEOtop overview for details: www.geotop.org 3. Rainfall-run off modeling using La Fouly data 4. Snow melt: how to deal with it in absence of measured snow depth Lausanne Dec. 10th 2009 - Silvia Simoni
  • La Fouly deployment Location: La Fouly - Val Ferret, Orsiere VS. water level measuring point catchment area=20 km2 z min=1785 m z max=3238 m main stream: Dranse de Ferret
  • Available data water level @ the outlet − hourly mean Meteorological data water level [mm] 300 (precipitation, wind speed and velocity, 100 air temperature and humidity, radiation) 0 18/06 25/06 02/07 09/07 16/07 23/07 30/07 05/08 12/08 19/08 26/08 02/09 09/09 16/09 23/09 30/09 07/10 hourly cumulated rain @ ST1033 Soil data 8 precipitation [mm] 6 (soil moisture, suction and temperature) 4 2 0 18/06 25/06 02/07 09/07 16/07 23/07 30/07 05/08 12/08 19/08 26/08 02/09 09/09 16/09 23/09 30/09 07/10 hourly averaged air Temperature @ ST1033 Water level data 20 Air Temperature [C] Discharge from rating curve 10 5 0 −5 18/06 25/06 02/07 09/07 16/07 23/07 30/07 05/08 12/08 19/08 26/08 02/09 09/09 16/09 23/09 30/09 07/10 Incoming short wave radiation @ ST1033 Period 1200 ISW radiation [W/m2] June - October 2009 800 400 0 18/06 25/06 02/07 09/07 16/07 23/07 30/07 05/08 12/08 19/08 26/08 02/09 09/09 16/09 23/09 30/09 07/10 10 Sensorscope stations 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Discharge rating curve 8000 Measuments Discharge rating curve Q=1.594 (h+15.56)2.03 7000 6000 5000 Q [l/s] 4000 3000 2000 1000 0 0 10 20 30 40 50 h [cm] 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Spatial variability of rainfall Hourly Cumulated Rainfall measured @ SS1032 Hourly Cumulated Rainfall @ ST1042 5 8 cumulated rain [mm] cumulated rain [mm] 4 6 3 4 2 2 1 0 0 18/06 21/06 25/06 28/06 01/07 04/07 08/07 11/07 14/07 17/07 21/07 24/07 27/07 30/07 03/08 06/08 09/08 18/06 21/06 25/06 28/06 01/07 04/07 08/07 11/07 14/07 17/07 21/07 24/07 27/07 30/07 03/08 06/08 09/08 time (day/month) time (day/month) Italy G. S. Bernard N SG1044 SG1038 Lacs de Fenetre Italy GPS base station ST1041 ST1042 ST1040 SS1033 water level @ La Fouly 2009 data − hourly mean ST1037 100 200 300 400 500 ST1043 water level [mm] SS1032 ST1035 ST1036 GPRS base station Swiss-South Africa Joint Scientific Conference, Nov 5th 2009 ST1034 20/05 26/05 01/06 07/06 12/06 18/06 24/06 30/06 06/07 11/07 17/07 23/07 29/07 04/08 09/08 15/08 21/08 27/08 8
  • Spatial variability effect on Precipitation Station Scattergram for the stations on the orographic left− Rainfall data Station Scattergram for the stations across the valley− Rainfall data ● ● 10 ● ● ● 12 ● x=1439 m 8 ● x=182 m x=265 m ● 8 ● ● ● ● ● 10 8 ● ● ● ● ● ● ● 6 ST1033 mm ST1043 mm ST1040 mm ST1042 mm ● ● ● ● ● 6 ● ● ● ● 8 ● ● 6 ● ● ● ● ● ● ● ● ● 6 4 ● ● ● ● ● ● 4 ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● 2 ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● x=1689 m 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 0 0 0 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 2 4 6 8 0 2 4 6 8 10 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 ST1033 mm ST1040 mm ST1032 mm ST1032 mm ● ● 10 ● ● ● 12 ● 8 ● x=1664 m x=1091 m ● 8 x=305 m ● 10 ● ● 8 ● ● ● ● 6 ST1042 mm ST1043 mm ● ST1040 mm ST1034 mm ● ● 6 ● ● ● ● ● ● 8 ● ● 6 ● ● ● ● ● ● ● ● ● ● 6 4 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● x=130 m ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 0 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 0 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 2 4 6 8 0 2 4 6 8 10 0 1 2 3 4 5 6 7 0 2 4 6 8 ST1033 mm ST1040 mm ST1032 mm ST1033 mm 10 ● ● ● ● 12 12 ● ● x=251 m x=376 m ● x=1243 m 8 8 10 10 ● ● ST1043 mm ST1043 mm ● ● ● ● ● ● ● ● ST1042 mm ST1036 mm 8 8 ● ● ● 6 ● 6 ● ● ● ● ● ● 6 6 ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● 4 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 2 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● x=1816 m ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 0 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 0 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 2 4 6 8 0 2 4 6 8 0 1 2 3 4 5 6 7 0 2 4 6 8 ST1033 mm ST1042 mm ST1032 mm ST1033 mm 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Spatial variability effect on Precipitation Influence of spatial distance on the spatial correlation between stations (based on rainfall data) 1.0 ● ● ● ● correlation coefficient ● ● 0.8 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0.6 ● ● ● ● ● 0.4 ● ● ● 0.2 0.0 0 500 1000 1500 2000 real distance between stations [m] Influence of Aspect on the spatial correlation between stations (based on rainfall data) 1.0 ● ● ● ● correlation coefficient ● ● 0.8 ● ● ●● ●● ● ● ● ● ● ● ● ● ● 0.6 ● ●● ● ● 0.4 ● ● ● 0.2 0.0 0 30 60 90 120 150 180 aspect difference between stations [deg] 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Spatial variability effect on cumulated Precipitation Spatial variability impact on totally cumulated rainfall 400 total cum rainfall [mm] ● 1040 300 ● 1043 ● 1033 ● 1042 ● 1036 1032 200 ● ● 1034 ● 1037 100 1700 1800 1900 2000 2100 2200 2300 2400 2500 elevation [m a.s.l.] ST1040 ST1041 ST1037 ST1042 SS1033 1. Data 2. Spatial variability 3. GEOtop SS1032 Rainfall-run off 4. ST1035 ST1043 5.Snow melt 6.Soil moisture ST1036 Lausanne Dec. 10th 2009 - Silvia Simoni ST1034
  • Spatial variability effect on wind speed and directions Meteorological station: 1033 Meteorological station: 1040 Wind velocity [m/s] Wind velocity [m/s] N v >= 5.0 N Meteorological station: 1042 v >= 5.0 Wind velocity [m/s] 3.0 <= v < 5.0 3.0 <= v < 5.0 2.0 <= v < 3.0 N v >= 5.0 2.0 <= v < 3.0 3.0 <= v < 5.0 1.0 <= v < 2.0 1.0 <= v < 2.0 2.0 <= v < 3.0 NW NE 0.5 <= v < 1.0 0.5 <= v < 1.0 1.0 <= v < 2.0 NW calm (v < 0.5) NE calm (v <NW 0.5) 0.5 <= v < 1.0 NE calm (v < 0.5) W E W E W E 0.0% 6.5% 13.0% 19.5% 26.0% 0.0% 5.0% 10.0% 15.0% 20.0% 0.0% 6.5% 13.0% 19.5% 26.0% SW SE SW SE SW SE S S S Meteorological station: 1034 Meteorological station: 1035 Meteorological station: 1037 Wind velocity [m/s] Wind velocity [m/s] N v >= 5.0 N v >= 5.0 N Wind veloci 3.0 <= v < 5.0 3.0 <= v < 5.0 v >= 2.0 <= v < 3.0 2.0 <= v < 3.0 3.0 <= v < 1.0 <= v < 2.0 1.0 <= v < 2.0 2.0 <= v < 0.5 <= v < 1.0 0.5 <= v < 1.0 1.0 <= v < NW NE NW calm (v < 0.5) NE NW NE 0.5 <= v < calm (v < 0.5) calm (v < 0 W E W E W E 0.0% 7.5% 15.0% 22.5% 30.0% 0.0% 5.0% 10.0% 15.0% 20.0% 0.0% 6.0% 12.0% 18.0% 24.0% SW SE SW SE SW SE S S S 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Spatial interpolation of Precipitation Hourly Cumulated Rainfall @ ST1043 July 9th 2009 cumulated rain [mm] 8 10 6 N 4 2 0 18/06 25/06 02/07 09/07 15/07 22/07 29/07 05/08 12/08 19/08 25/08 01/09 08/09 15/09 22/09 29/09 05/10 12/10 time (day/month) July 2th 2009 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • GEOtop model snow, ice, water cycle permafrost Endrizzi 2007 Rigon et al., 2006 evapo- natural transpiration, hazards energy fluxes Simoni 2007 Bertoldi et al., 2006 14 Open source LGPL3
  • The GEOtop model 1. 3D topography - distributed model - DEM preprosessing: drainage directions => channel network slopes and aspect => radiation curvatures => shadowing 2. Water balance sky view factor => radiation - effective rainfall - surface flow - subsurface flow - snow/ice melt 3. Energy balance - radiation - boundary-layer interaction - snow and glacier melt - freezing soil 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Rainfall-run off - infiltration mechanism Effective rainfall: vegetation accounted for Infiltration: Richards 3D or Richards 1D + lateral darcian flow ∂ψ dθ ∂ ∂ψ ∂ ∂ψ ∂ ∂ψ = KL (ψ) − sin α + KL (ψ) + Kz (ψ) − cos α ∂t dψ ∂x ∂x ∂y ∂y ∂z ∂x Drainage along slopes: kinematic scheme c(x, t) = Cm h(x, t) [ z(x)] γ 0.5 W (x, t) = Ωc(x, t) Channel routing: Saint-Venant equation t L sW (τ, s) (s − uc (t − τ ))2 Q(x, t) = AT exp − dsdτ 0 0 4πD(t − τ )3 4D(t − τ ) W water inflow from hillslopes into the channel network at a distance s from the outlet at time τ 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Rainfall-run off contribute Discharge @ La Fouly 2009 data from ST1043 4000 GEOtop no snow run off [l/s] Q measured 2000 0 27/06 03/07 10/07 16/07 22/07 29/07 04/08 10/08 17/08 23/08 29/08 05/09 11/09 17/09 24/09 30/09 06/10 13/10 time (day/month) Determining a stage-discharge relationship Modeled discharge at La Fouly: sensitivity analysis on D and C_m 15 D=100 m2/s C_m=0.5 m^1/3/s, n_Dt_w=10 Discharge [m3/s] D=50 m2/s C_m=0.25 m^1/3/s, n_Dt_w=2 10 D=50 m2/s, C_m=0.25 m^1/3/s, n_Dt_w=10 5 0 18/06 25/06 01/07 08/07 14/07 21/07 27/07 03/08 09/08 16/08 22/08 29/08 04/09 11/09 17/09 24/09 30/09 07/10 time 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Soil moisture Measured soil moisture Soil Moisture − 20cm @ SS1043 50 Hourly cumulated rain [mm] Soil Moist. (V) 45 8 10 Soil moisture [−] Precip 40 6 35 4 30 2 25 0 18/06 25/06 02/07 09/07 15/07 22/07 29/07 05/08 12/08 19/08 25/08 01/09 08/09 15/09 22/09 29/09 05/10 12/10 time (day/month) 1043 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Soil moisture Measured soil moisture Soil Moisture − 20cm @ SS1043 50 Hourly cumulated rain [mm] Soil Moist. (V) 45 8 10 Soil moisture [−] Precip 40 6 35 4 30 2 25 0 18/06 25/06 02/07 09/07 15/07 22/07 29/07 05/08 12/08 19/08 25/08 01/09 08/09 15/09 22/09 29/09 05/10 12/10 time (day/month) 1043 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Soil moisture Measured soil moisture Soil Moisture − 20cm @ SS1043 50 Hourly cumulated rain [mm] Soil Moist. (V) 45 8 10 Soil moisture [−] Precip 40 6 35 4 30 2 25 0 18/06 25/06 02/07 09/07 15/07 22/07 29/07 05/08 12/08 19/08 25/08 01/09 08/09 15/09 22/09 29/09 05/10 12/10 time (day/month) 1043 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Soil moisture Measured soil moisture Soil Moisture − 20cm @ SS1043 50 Hourly cumulated rain [mm] Soil Moist. (V) 45 8 10 Soil moisture [−] Precip 40 6 35 4 30 2 25 0 18/06 25/06 02/07 09/07 15/07 22/07 29/07 05/08 12/08 19/08 25/08 01/09 08/09 15/09 22/09 29/09 05/10 12/10 time (day/month) Modeled soil moisture 1043 Soil Moisture @ ST1043 0.50 0.40 soil moisture [−] 0.3 m measured 0.30 0.3 m 0.125 m 0.20 24/06 24/06 25/06 26/06 27/06 28/06 29/06 30/06 01/07 02/07 03/07 04/07 05/07 05/07 06/07 07/07 08/07 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Adding snow melt Discharge @ La Fouly 2009 data from ST1043 4000 GEOtop no snow run off [l/s] Q measured 2000 0 27/06 03/07 10/07 16/07 22/07 29/07 04/08 10/08 17/08 23/08 29/08 05/09 11/09 17/09 24/09 30/09 06/10 13/10 time (day/month) Challange: setting initial condition on snow depth how to??? MODIS data June 27th 2009 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Adding snow melt First attempts Discharge @ La Fouly 2009 data from all stations 4000 GEOtop no snow run off [l/s] Q measured 2000 0 27/06 03/07 10/07 16/07 22/07 29/07 04/08 10/08 17/08 23/08 29/08 05/09 11/09 17/09 24/09 30/09 06/10 13/10 time (day/month) Snow depth distribution according to topography, slope and aspect 1. Data 2. Spatial variability 3. GEOtop 4. Rainfall-run off 5.Snow melt 6.Soil moisture Lausanne Dec. 10th 2009 - Silvia Simoni
  • Further work 1. Introducing snow melt 2. Characterizing the soil more in detail to improve soil moisture modeling 3. Comparing fluxes computed from flux tower with the ones computed by the model. 4. Investigating subsurface flows and their link with potential hazards such as debris- flows and shallow landslide. ..... Lausanne Dec. 10th 2009 - Silvia Simoni
  • Enjoy GEOtop! snow, ice, water cycle permafrost evapo- natural transpiration, hazards energy fluxes