{"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":5.0000,"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.
土壤水力特性(SHPs)受多种机制的影响,如土壤结构、毛细性和吸附力,通常呈现双峰形状。建立描述整个饱和范围内SHPs的土壤水力模型(SHMs)通常涉及平衡多个过程的表示,同时尽量减少自由拟合参数的数量。现有的SHMs很少捕获整个湿度范围内的双峰SHPs,或者引入更多的自由拟合参数。在这项研究中,我们提出了一个新的框架来描述整个湿度范围内的SHPs,考虑到土壤结构、毛细作用、吸附力和蒸汽扩散的影响。该模型以四个自由拟合参数的形式,可以捕获单峰土壤保水曲线和双峰水力导率曲线(HCC)。该模型非常适合于这样的情况,即通过测量SWRC不再检测到接近饱和的含水量的微小变化,但土壤结构仍然导致接近饱和的HCC急剧下降。通过一个额外的自由拟合参数,所提出的模型可以捕获双峰SWRC和HCC。对来自两个公共数据集的355个和52个土壤样本的测试表明,所提出的模型在描述整个湿度范围内的shp方面表现得非常好。据报道,拟合swrc的最小均方根误差值分别为0.005和0.009 cm3 cm - 3,预测hcc的最小均方根误差值分别为0.465和0.666。由于引入的自由拟合参数最少,所提出的框架显示出显著的应用潜力。
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.