Author(s)

Salif Koné^1,2

¹Department of Geology and Mines, Malian National School of Engineers, Abderhamane Baba Touré (ENI-ABT), Bamako, Mali.
²Synergy of Miners-Environmentalists Limited, Bamako, Mali.

Geostatistical Kriging is performed on hydrologic model parameters in a two-dimensional region—different from the geographical space—as a hydrospace. The x-axis in percent is a relative difference of soil characteristics between an embedded 12 watersheds in reference to a large one related to the Niger River in West Africa; noted var_WHC, it stands for Water Holding Capacity. The y-axis in percent, var_Nash, is a hydrologic model’s efficiency in two contexts: (a) calibrated model parameters on the reference watershed are injected in modelling on each sub-watershed in validation phase to produce a series of Nash values as references, (b) a second series of Nash values is produced in calibrations. SimulHyd which stands for Simulation of Hydrological Systems is applied along with a French hydrological model—Genie Rural with 2 parameters at Monthly time step. The built Nash-WHC hydrospace and its two variants, or hybrids, permit the krige of both hydrologic model’s parameters. The relative variation of upper module absolute ranges from 0.1% to 15.68%—the developed hydro-geostatistics practice is considered in reference to hydrological calibration. Accepted as hydrogeostatistics practice, it is applicable to ungauged watersheds to estimate hydrologic models’ parameters.

Hydrogeostatistics Practice, Niger River, SimulHyd, Hydrospace, GR2M, Hydrological Modelling

Koné, S. (2024) Using Geostatistical Kriging for Hydrologic Models’ Parameters Estimation on Niger River Watersheds in West Africa. International Journal of Modern Nonlinear Theory and Application, 13, 53-69. doi: 10.4236/ijmnta.2024.134005.