Programme OS1f Africa abstract 355
Confronting models and observation as a necessary step in evaluating
global change and water resources
Author(s): F. Delclaux(1), M. Le Coz (1), M. Coe (2), G. Favreau (1), B.
Ngounou Ngatcha (3)
(1) HydroSciences
Montpellier, France
(2) Woods Hole Research Center, USA
(3) Université de Ngaoundéré, Cameroon
Keyword(s): hydrology , runoff, model, lake Chad
Article:
Poster:
Session: OS1f Africa
Abstract Lake Chad is located in the southern edge of the Sahara Desert in north-central Africa. It is a shallow fresh
water endoreic lake whose mean depth is about 4 m while its basin (2.5 106 km2) is the largest endoreic catchment
area in the world. Due to its position in the Sahelian belt, Lake Chad provides a vital source of water to surrounding
populations for irrigation, fishing, and trade. However, owing to its low depth and to the great variability of semi-arid
climatic conditions, Lake Chad experienced several regressions and extensions in the past. The last significant
variation was recorded during the last decades, with the contraction of the lacustrine surface from 25,000 to 1,500
km2 during the 1970s and 1980s. Therefore, the extreme sensitivity of Lake Chad hydro-system requires efficient
and reliable hydrological models in order to investigate the lake evolution with regard to basin characteristics, climatic
change and water resource management.
Two distributed models have been applied. They are based on a water
routing model THMB (formerly HYDRA) in which runoff and subsurface flows are routed along the drainage
network except if water is stored in a depression: in this case, the (P-E) balance is applied. In the first model,
IBIS+THMB, runoff is generated off-line with a Land Surface Model, IBIS, whereas in the second one,
GR+THMB, runoff is directly computed by the GR2M 2-parameter production internal modules. The first
parameter is the Water Holding Capacity as deduced from the FAO soil map, and the second one, C, is equivalent
to an interception coefficient whose calibrated value is about 0.27.
The two model simulations of Logone-Chari
River monthly discharge at N’Djamena (95% of lake tributary input) are compared. Simulated discharge is generally
underestimated by 35% for GR+THMB model and 26% for IBIS+THMB model whereas the Nash index is greater
for GR+THMB (0.77) than for IBIS+THMB (0.55). Regionalization of C parameter improved significantly the
GR+THMB model as shown by Nash index and volume deviation (0.80 and -21%). Concerning lake Chad itself,
the monthly water level variability is correctly simulated as the correlation coefficients for the 2 models are about
0.85.
However, these agreements hide some local discrepancies: for example, simulated Komadougou river
discharge appears to be overestimated and partly compensates for Chari-Logone volume underestimation for the
two models. Moreover, additional analysis revealed that lake volume is very sensitive to irrigation withdrawals and
lake bottom infiltration parameterization as well as DEM quality. These points are presently under development in
order to evaluate the hydrological consequences in response to future climatic change and to water resource
scenarios.