Publications des scientifiques de l'IRD

Diongue D. M. L., Roupsard O., Do F. C., Stumpp C., Orange Didier, Sow S., Jourdan C., Faye S. (2022). Evaluation of parameterisation approaches for estimating soil hydraulic parameters with HYDRUS-1D in the groundnut basin of Senegal. Hydrological Sciences Journal, 67 (15), 2327-2343. ISSN 0262-6667.

Titre du document
Evaluation of parameterisation approaches for estimating soil hydraulic parameters with HYDRUS-1D in the groundnut basin of Senegal
Année de publication
2022
Type de document
Article référencé dans le Web of Science WOS:000891878500001
Auteurs
Diongue D. M. L., Roupsard O., Do F. C., Stumpp C., Orange Didier, Sow S., Jourdan C., Faye S.
Source
Hydrological Sciences Journal, 2022, 67 (15), 2327-2343 ISSN 0262-6667
Soil hydraulic parameters (SHPs) required as inputs for numerical models are scarce in Sahelian regions. Instead, they are estimated using pedotransfer functions (PTFs), but their ability to simulate soil water dynamics has not been evaluated. This study aims to parameterize SHPs with seven different PTFs and inverse modelling to examine their ability to simulate water fluxes in Senegal's Groundnut basin. We used four years of field measurements of soil water content (SWC) and actual evapotranspiration (ETa) under pearl millet and groundnut crop rotation for model evaluation. Inverse modelling for SWC (root mean square error [RMSE] <= 0.015 cm(3) cm(-3)) and ETa (RMSE <= 0.62 mm d(-1)) yielded the best model performance compared to PTFs (0.024-0.175 cm(3) cm(-3) and 0.68-0.96 mm d(-1), respectively). Where field measurements are lacking for inverse estimation, three of the seven tested PTFs yielded good modelling results and could be used as a parsimonious approach for cultivated Sahelian soils.
Plan de classement
Bioclimatologie [072]
Description Géographique
SENEGAL
Localisation
Fonds IRD [F B010086674]
Identifiant IRD
fdi:010086674
Contact