Jiwei Li , Geng Niu , Chuanqin Yao , You Gao , Hao Wang
{"title":"A new method for estimating the soil-water diffusivity of unsaturated soils based on the Boltzmann transform and the principle of stationary action","authors":"Jiwei Li , Geng Niu , Chuanqin Yao , You Gao , Hao Wang","doi":"10.1016/j.jhydrol.2024.132348","DOIUrl":null,"url":null,"abstract":"<div><div>Accurately measuring the nonlinear soil–water diffusivity remains a complex and time-consuming task. This study extended a simple method for estimating the soil–water diffusivity of unsaturated soils based on the Boltzmann transform and the principle of stationary action. The power relationship between the Boltzmann transform variable and diffusivity is explicitly expressed, with the corresponding power exponent commonly assigned a value between 1 and 3. By comparing the analytical and numerical results, it was found that the predictions are consistent when the power exponent is taken as 2. The proposed method in this study is more concise and convenient for computation when compared to the existing methods. It directly describes the relationship between the soil–water diffusivity and the water content distribution profiles. The proposed theoretical model has limited predictive ability for certain soil types, such as loam and clay. To improve the methodology, more data from different soil types should be collected in the future to better predict soil–water diffusivity. In conclusion, the method proposed in this paper provides a concise and effective method that will have a wide range of applications in future practice in the fields of soil science, agricultural engineering, and environmental research.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"647 ","pages":"Article 132348"},"PeriodicalIF":5.9000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002216942401744X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Accurately measuring the nonlinear soil–water diffusivity remains a complex and time-consuming task. This study extended a simple method for estimating the soil–water diffusivity of unsaturated soils based on the Boltzmann transform and the principle of stationary action. The power relationship between the Boltzmann transform variable and diffusivity is explicitly expressed, with the corresponding power exponent commonly assigned a value between 1 and 3. By comparing the analytical and numerical results, it was found that the predictions are consistent when the power exponent is taken as 2. The proposed method in this study is more concise and convenient for computation when compared to the existing methods. It directly describes the relationship between the soil–water diffusivity and the water content distribution profiles. The proposed theoretical model has limited predictive ability for certain soil types, such as loam and clay. To improve the methodology, more data from different soil types should be collected in the future to better predict soil–water diffusivity. In conclusion, the method proposed in this paper provides a concise and effective method that will have a wide range of applications in future practice in the fields of soil science, agricultural engineering, and environmental research.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.