HAL Id: hal-02606382
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Submitted on 16 May 2020
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A dam-reservoir module for a semi-distributed hydrological model
Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H.
Ramos
To cite this version:
Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. A dam-reservoir module for a semi-distributed hydrological model. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1, 2017. �hal-02606382�
A DAM-RESERVOIR MODULE
FOR A SEMI-DISTRIBUTED HYDROLOGICAL MODEL
We proposed a dam module that can easily be implemented in a semi-distributed hydrological model. Without any additional parameter, impact of dams can be considered in space and at daily time step. It opens perspectives for estimating natural streamflow and may benefit from satellite images.
EGU General Assembly 2017 – 23-28 April 2017 – Vienna – EGU2017-8956
Conclusion and perspectives
- de Lavenne, A. et al. (2016) Spatial variability of the parameters of a semi-distributed hydrological model PIAHS, 373, pp. 87–94. 2016.
- Payan, J.L. et al. (2008) How can man-made water reservoirs be accounted for in a lumped rainfall-runoff model? Water Resour. Res., 44, W03420
References :
- With the dam module implemented, GRSD is able to reproduce influenced streamflow with a good performance and robustness.
- In comparison with the work of Payan et al. (2008) the dam is now localised inside the catchment: better catching of its impact and better dealing with larger catchments.
- Perspectives for better estimation of natural streamflow (Poster EGU2017-6403).
- The SWOT (Surface Model and Ocean Topography) satellite mission opens perspectives for estimating at any ungauged reservoir.
E P
Interception En
Pn-Ps Es
Pn Ps
0.9 0.1
UH2
Q x1
x3 F(x2,x5)
Q1 Q9
Qd Qr
S
R Perc Production
store
Routing store
2.x4
Pr
F(x2,x5)
E P
Interception En
Pn-Ps Es
Pn Ps
0.9 0.1
UH2
Q x1
x3 F(x2,x5)
Q1 Q9
Qd Qr
S
R Perc Production
store
Routing store
2.x4
Pr
F(x2,x5)
E P
Interception En
Pn-Ps Es
Pn Ps
0.9 0.1
UH2
Q x1
x3 F(x2,x5)
Q1 Q9
Qd Qr
S
R Perc Production
store
Routing store
2.x4
Pr
F(x2,x5)
C C
Upstream catchment 1 Upstream catchment 2
Downstream catchment 3
1 2 3
V
Dam
The dam module
020406080
1996 1998 2000 2002 2004 2006
020406080
Pannecière
50150250350
1996 1998 2000 2002 2004 2006
−5050150250
Marne
050100150200
1996 1998 2000 2002 2004 2006
050100
Water added to the river [m³/s]Water stored in the reservoir [10³ m³/s]Water added to the river [m³/s]Water stored in the reservoir [10³ m³/s]
Seine
50100150
1996 1998 2000 2002 2004 2006
−202060
Water added to the river [m³/s]Water stored in the reservoir [10³ m³/s]
Aube
Paris
The semi-distributed model GRSD (de Lavenne et al. 2016) is based on an implementation of a lumped daily GR5J model (5 parameters) on each subcatchment. GR5J is composed of two stores: a production store (capacity X1) and a routing store (capacity X3), which is filled by the output of a unit hydrograph (of time base X4). Two other parameters, X2 and X5, are used to quantify the inter- catchment groundwater flow. Outflow simulations of upstream catchments are routed downstream using a streamflow celerity (parameter C).
*de Lavenne A., Thirel G., Andréassian V., Perrin C., Ramos M.-H. (Irstea, HBAN, Antony, France) *[email protected]
GRSD model structure
A dam module without additional parameter
It is is derived from the work of Payan et al. (2008) who proposed a dam module for lumped hydrological model. It requires an additional forcing data:
- : the variation of the water volume stored by the dam
This time series is directly impacting the subcatchment where the dam is located:
- when this volume is retrieved from upstream discharge contributions
- when this volume is added to the outflow of the subcatchments.
The case study of the River Seine catchment
050100150
Discharge [m3/s]
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
30201050 Rainfall [mm]
Observation Simulation
050100150
Discharge [m3/s]
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
30201050 Rainfall [mm]
Observation Simulation
The River Seine is influenced by 4 dams whose aims are low-flow augmentation and flood mitigation.
GRSD simulation for
Aube at Blaincourt-sur-Aube (1640 km²)
Without the dam moduleWith the dam module
Model implementation :
- 375 subcatchments including 198 gauged stations for sequential calibration (upstream to downstream).
- Daily gridded meteo and discharge databases.
- High improvement of simulated discharge.
River Lake Volume [hm³] Surface area [km²] Catchment area [km²]
Yonne Pannecière 80 5.2 220
Seine Orient 208 23 2380
Aube Temple & Amance 170 23.2 1650
Marne Der-Chantecoq 349 48 2900
050100150Volume [10³m³] October November December January February March April May June July August September
Stored volume
Typical seasonal variation of reservoirs (Example of the River Aube)
Validation performance
Validation performance
Water added to the river [m³/s]Water stored in the reservoir [10³ m³/s]
