{"title":"A Generalized Framework to Describe Unimodal and Bimodal Soil Hydraulic Properties Over Full Water Saturation Range","authors":"Yunquan Wang, Rui Ma, Harry Vereecken","doi":"10.1029/2024wr038450","DOIUrl":null,"url":null,"abstract":"Soil hydraulic properties (SHPs) are impacted by various mechanisms such as soil structure, capillarity, and adsorption forces, often showing a bimodal shape. Developing soil hydraulic models (SHMs) that describe SHPs over the entire saturation range often involves balancing the representation of multiple processes while minimizing the number of free-fitted parameters. Existing SHMs rarely capture bimodal SHPs across the full moisture range or introduce a higher number of free-fitted parameters. In this study, we propose a novel framework to describe SHPs over the entire moisture range, accounting for the effects of soil structure, capillarity, adsorption forces, and vapor diffusion. In its four free-fitted parameters form, the proposed models can capture unimodal soil water retention curves and bimodal hydraulic conductivity curves (HCC). This model is well-suited for situations where small changes in water content near saturation are no longer detectable via measured SWRC, yet soil structure still causes a sharp decline in HCC near saturation. With one additional free-fitted parameter, the proposed models can capture both bimodal SWRC and HCC. Testing with 355 and 52 soil samples from two public datasets demonstrated that the proposed models performed exceptionally well in describing SHPs across the entire moisture range. The reported lowest root-mean-square error values were 0.005 and 0.009 cm<sup>3</sup> cm<sup>−3</sup> for fitting SWRCs, and 0.465 and 0.666 for predicting HCCs, respectively. Due to the minimal introduction of free-fitted parameters, the proposed framework showed significant application potential.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"36 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2024wr038450","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Soil hydraulic properties (SHPs) are impacted by various mechanisms such as soil structure, capillarity, and adsorption forces, often showing a bimodal shape. Developing soil hydraulic models (SHMs) that describe SHPs over the entire saturation range often involves balancing the representation of multiple processes while minimizing the number of free-fitted parameters. Existing SHMs rarely capture bimodal SHPs across the full moisture range or introduce a higher number of free-fitted parameters. In this study, we propose a novel framework to describe SHPs over the entire moisture range, accounting for the effects of soil structure, capillarity, adsorption forces, and vapor diffusion. In its four free-fitted parameters form, the proposed models can capture unimodal soil water retention curves and bimodal hydraulic conductivity curves (HCC). This model is well-suited for situations where small changes in water content near saturation are no longer detectable via measured SWRC, yet soil structure still causes a sharp decline in HCC near saturation. With one additional free-fitted parameter, the proposed models can capture both bimodal SWRC and HCC. Testing with 355 and 52 soil samples from two public datasets demonstrated that the proposed models performed exceptionally well in describing SHPs across the entire moisture range. The reported lowest root-mean-square error values were 0.005 and 0.009 cm3 cm−3 for fitting SWRCs, and 0.465 and 0.666 for predicting HCCs, respectively. Due to the minimal introduction of free-fitted parameters, the proposed framework showed significant application potential.
期刊介绍:
Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.