Inverse Modelling to Estimate Soil Hydraulic Properties at the Field Scale

Autor: Mohamed Khaled Salahou, Xiaoyuan Chen, Yupeng Zhang, Xiyun Jiao, Haishen Lü
Rok vydání: 2022
Předmět:
Zdroj: Mathematical Problems in Engineering. 2022:1-11
ISSN: 1563-5147
1024-123X
DOI: 10.1155/2022/4544446
Popis: Field-scale estimation of soil hydraulic parameters is important for simulating water movement, particularly in the vadose zone. The accuracy of soil hydraulic parameters significantly affects the output of models using these parameters as input variables. A new approach for an inverse method, often referred to as inverse modelling, was presented to calibrate soil hydraulic parameters. The new method is based on the use of uniform design theory to generate uncertainty estimates of the soil hydraulic parameters. The uncalibrated and calibrated soil hydraulic parameters were evaluated by comparing the predicted and measured soil water contents using the HYDRUS-1D model. The results show that the calibrated soil hydraulic parameters that were inversely estimated by uniform design theory were accurate and reasonable. In addition, the results provided recommendations for improving the estimation of soil hydraulic parameters when there are no available observation data for calibrating and optimizing soil hydraulic parameters.
Databáze: OpenAIRE
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