2015 GSA Annual Meeting in Baltimore, Maryland, USA (1-4 November 2015)

Paper No. 311-7
Presentation Time: 9:00 AM-6:30 PM

USING GEOSTATISTICS FOR HYDROLOGIC MODELS PARAMETERS ESTIMATION, ON NIGER RIVER WATERSHEDS IN WEST AFRICA


KONÉ, Salif1, MAHÉ, Gil2, BAMBA, Fatogoma1, SOUMARÉ, Oumar1, DIALLO, Mahamadou1, DIARRA, Adama Tiémoko3 and TRAORÉ, Amadou Zanga4, (1)Department of Geology, National School of Engineers ENI-ABT (Mali), 410 Av. Van Vollenhoven, BP: 242, Bamako, 00000, Mali, (2)HydroSciences Montpellier, University Montpellier 2, Case Courrier MSE, Place Eugene Bataillon, Montpellier, 34095, France; Institut de Recherche pour le Developpement (IRD), Montpellier, France, (3)Department of Civil Engineering, National School of Engineers ENI-ABT (Mali), Bamako, 00000, Mali; SOMAPEP, Bamako, 00000, Mali, (4)Department of Geology, National School of Engineers ENI-ABT (Mali), 410 Av. Van Vollenhoven, BP: 242, Bamako, Mali; UFAE, Bamako, Mali, skonemaat@yahoo.fr

The geostatistics, which helps to understand more the spatial inference existing within the distribution of a variable, drives to the development of a hydro-geostatistics methodology, to estimating intrinsic parameters of hydrologic models. We study sixteen watersheds on the high Niger River and its tributaries (in West Africa). Using statistical considerations we de-correlate the difference of performance of two model versions in relation to the spatial variability of a physical property of soil – specifically, the Water Holding Capacity (WHC).

The de-correlation is through applying a weighting factor to simulating runoff depths in semi-distributed modelling. The improvement, brought to semi-distributed hydrologic models, is alternatively evaluated through a process named inter-models protocol; during which, a correlation coefficient – between the series formed by relative differences of two model versions performances and the other formed by the relative dispersion coefficient of WHC on each watershed – passes from 0.80 to 0.21 in absolute value, for SimulHyd hydrologic model. This model – SimulHyd – is a variant from the hydrologic model GR2M; while replacing a constant A - denoting the maximal capacity of a conceptual “soil reservoir” inside GR2M- by the term 1/X1*WHC. The X1 parameter is inherent in GR2M and modulates modelling entries data, the other is X2 parameter that is apply to a conceptual “gravity reservoir” and modulates the output data.

The weighting factor used within SimulHyd semi-distributed – and within GR2M in our studies - is built from the empirical variance of WHC values between grids of a considered watershed.

We propose an “inter-basins protocol” whose vocation is to build a space named “NASH-WHC”, which is different from the usual geographical space, where a semi-distributed model with the built weighting factor is better represented than without it. The result is a correlation coefficient of 0.48 for the spatial structure of basin-points in “NASH-WHC” space - instead of 0.36 when the built weighting factor is not used. The hydro-geostatistics methodology constitutes a geo-statistical extension of this inter-basins protocol, where tools and steps of classical geostatistics are applied to modelling and simulating hydrologic model parameters in the proposed “NASH-WHC” space.