Evaluation of parameterisation approaches for estimating soil hydraulic parameters with HYDRUS-1D in the groundnut basin of Senegal

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 differen...

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Published inHydrological sciences journal Vol. 67; no. 15; pp. 2327 - 2343
Main Authors Diongue, Djim M. L., Roupsard, Olivier, Do, Frederic C., Stumpp, Christine, Orange, Didier, Sow, Sidy, Jourdan, Christophe, Faye, Serigne
Format Journal Article
LanguageEnglish
French
Published Abingdon Taylor & Francis 18.11.2022
Taylor & Francis Ltd
Subjects
Agricultural practices
Agricultural sciences
Cereal crops
Crop rotation
Earth Sciences
Evapotranspiration
Groundnuts
Hydrology
HYDRUS-1D
Inverse estimation
Life Sciences
loamy sand soil
Mathematical models
Modelling
Moisture content
Numerical models
Parameterization
Parameters
Root-mean-square errors
Sahelian cropping system
Sciences of the Universe
Soil
Soil dynamics
soil hydraulic parameters
soil moisture
Soil study
Soil water
Water content
Senegal
loamy sand soil
HYDRUS-1D
evapotranspiration
Sahelian cropping system
soil moisture
soil hydraulic parameters
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Abstract 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 (ET a ) 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 ET a (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.
AbstractList 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 (ET a ) 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 ET a (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.
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.
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 cm3 cm−3) and ETa (RMSE ≤ 0.62 mm d−1) yielded the best model performance compared to PTFs (0.024–0.175 cm3 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.
Author Roupsard, Olivier
Diongue, Djim M. L.
Do, Frederic C.
Stumpp, Christine
Sow, Sidy
Faye, Serigne
Orange, Didier
Jourdan, Christophe
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Keywords loamy sand soil
HYDRUS-1D
evapotranspiration
Sahelian cropping system
soil moisture
soil hydraulic parameters
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Snippet Soil hydraulic parameters (SHPs) required as inputs for numerical models are scarce in Sahelian regions. Instead, they are estimated using pedotransfer...
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SubjectTerms Agricultural practices
Agricultural sciences
Cereal crops
Crop rotation
Earth Sciences
Evapotranspiration
Groundnuts
Hydrology
HYDRUS-1D
Inverse estimation
Life Sciences
loamy sand soil
Mathematical models
Modelling
Moisture content
Numerical models
Parameterization
Parameters
Root-mean-square errors
Sahelian cropping system
Sciences of the Universe
Soil
Soil dynamics
soil hydraulic parameters
soil moisture
Soil study
Soil water
Water content
Title Evaluation of parameterisation approaches for estimating soil hydraulic parameters with HYDRUS-1D in the groundnut basin of Senegal
URI https://www.tandfonline.com/doi/abs/10.1080/02626667.2022.2142474
https://www.proquest.com/docview/2746711550/abstract/
https://hal.inrae.fr/hal-03952322
Volume 67
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