Estimating Soil Water Retention Curve by Inverse Modelling from Combination of In Situ Dynamic Soil Water Content and Soil Potential Data

Soils

Degré, Aurore¹  Oeurng, Chantha²  Ket, Pinnara³ 

[1]Author to whom correspondence should be addressed.

[2]BIOSE, Gembloux Agro-Bio Tech, Liège University, Passage des Déportés 2, 5030 Gembloux, Belgium

[3]Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation Bd, P.O. Box 86, Phnom Penh 12156, Cambodia

关键词: soil water retention curve;    soil hydraulic properties;    irrigation management;    HYDRUS-1D;    water flow;    Cambodia;   

DOI  :  10.3390/soilsystems2040055

学科分类：土壤学

来源: mdpi

【 摘 要 】

Soil water retention curves (SWRCs) are crucial for characterizing soil moisture dynamics, and are particularly relevant in the context of irrigation management. Inverse modelling is one of the methods used to parameterize models representing these curves, which are closest to the field reality. The objective of this study is to estimate the soil hydraulic properties through inverse modelling using the HYDRUS-1D code based on soil moisture and potential data acquired in the field. The in situ SWRCs acquired every 30 min are based on simultaneous soil water content and soil water potential measurements with 10HS and MPS-2 sensors, respectively, in five experimental fields. The fields were planted with drip-irrigated lettuces from February to March 2016 in the Chrey Bak catchment located in the Tonlé Sap Lake region, Cambodia. After calibration of the van Genuchten soil water retention model parameters, we used them to evaluate the performance of HYDRUS-1D to predict soil moisture dynamics in the studied fields. Water flow was reasonably well reproduced in all sites covering a range of soil types (loamy sand and loamy soil) with root mean square errors ranging from 0.02 to 0.03 cm3 cm−3.

【 授权许可】

CC BY