Danning Mu , Xu Xu , Xue Xiao , Tiago B. Ramos , Chen Sun , Xinyi Li , Yihao Xun , Guanhua Huang
{"title":"干旱/半干旱农业流域土壤水-植物、地下水和地表水系统耦合模拟的机械分布式模型(SurfMOD)——模型描述与评价","authors":"Danning Mu , Xu Xu , Xue Xiao , Tiago B. Ramos , Chen Sun , Xinyi Li , Yihao Xun , Guanhua Huang","doi":"10.1016/j.jhydrol.2025.133890","DOIUrl":null,"url":null,"abstract":"<div><div>Hydrological processes in arid/semi-arid agricultural watersheds are challenging to simulate accurately due to the strong interactions within the hydrological cycle and the influences of agricultural activities. This paper introduces a new mechanistic, distributed hydrological model (named SurfMOD), developed to effectively simulate the dynamics of water and salt in the vadose zone, groundwater, surface water, plant, and their interactions over time and space. The processes are simulated based on the numerical solution of partial differential equations and a practical spatiotemporal coupling method is proposed to ensure the computational efficiency. In addition, SurMOD provides functions to consider various agricultural practices (e.g., surface mulching, soil bunds, canal seepage, and multi-order drainage system). SurfMOD was tested using observed data from typical arid/semi-arid agricultural areas in the upper Yellow River basin: an experimental site (Yangchang canal command area, YCA) during 2012–2013; and a region-scale area (Jiyuan Irrigation System, Jiyuan) in 2021. The results showed excellent agreement between the simulations and observed data, with coefficients of determination (R<sup>2</sup>) exceeding 0.44, 0.39, 0.38, and 0.87 for soil water content and salinity concentration, groundwater level, ditch drainage rate, and leaf area index, respectively. The Nash-Sutcliffe Efficiency was satisfactory, and the root mean square error was acceptably low in both case studies. Furthermore, the irrigation scenario tests and comparisons to previous studies demonstrate that SurfMOD offers significant advantages in both simulation accuracy and computational efficiency. Overall, SurfMOD enhances the capability of hydrological models to simulate coupled processes of complete water cycling and plant growth in arid/semi-arid agricultural watersheds. It could become a valuable tool for the quantitative analysis of arid/semi-arid agro-ecosystems, scenario forecasting, and the efficient management of water use and salinity control on a regional scale.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133890"},"PeriodicalIF":6.3000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A mechanistic, distributed model for coupled simulation of soil water-plant, groundwater and surface flow system in arid/semi-arid agricultural watersheds (SurfMOD)—Model description and evaluation\",\"authors\":\"Danning Mu , Xu Xu , Xue Xiao , Tiago B. Ramos , Chen Sun , Xinyi Li , Yihao Xun , Guanhua Huang\",\"doi\":\"10.1016/j.jhydrol.2025.133890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Hydrological processes in arid/semi-arid agricultural watersheds are challenging to simulate accurately due to the strong interactions within the hydrological cycle and the influences of agricultural activities. This paper introduces a new mechanistic, distributed hydrological model (named SurfMOD), developed to effectively simulate the dynamics of water and salt in the vadose zone, groundwater, surface water, plant, and their interactions over time and space. The processes are simulated based on the numerical solution of partial differential equations and a practical spatiotemporal coupling method is proposed to ensure the computational efficiency. In addition, SurMOD provides functions to consider various agricultural practices (e.g., surface mulching, soil bunds, canal seepage, and multi-order drainage system). SurfMOD was tested using observed data from typical arid/semi-arid agricultural areas in the upper Yellow River basin: an experimental site (Yangchang canal command area, YCA) during 2012–2013; and a region-scale area (Jiyuan Irrigation System, Jiyuan) in 2021. The results showed excellent agreement between the simulations and observed data, with coefficients of determination (R<sup>2</sup>) exceeding 0.44, 0.39, 0.38, and 0.87 for soil water content and salinity concentration, groundwater level, ditch drainage rate, and leaf area index, respectively. The Nash-Sutcliffe Efficiency was satisfactory, and the root mean square error was acceptably low in both case studies. Furthermore, the irrigation scenario tests and comparisons to previous studies demonstrate that SurfMOD offers significant advantages in both simulation accuracy and computational efficiency. Overall, SurfMOD enhances the capability of hydrological models to simulate coupled processes of complete water cycling and plant growth in arid/semi-arid agricultural watersheds. It could become a valuable tool for the quantitative analysis of arid/semi-arid agro-ecosystems, scenario forecasting, and the efficient management of water use and salinity control on a regional scale.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"662 \",\"pages\":\"Article 133890\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-07-11\",\"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/S0022169425012284\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425012284","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}
A mechanistic, distributed model for coupled simulation of soil water-plant, groundwater and surface flow system in arid/semi-arid agricultural watersheds (SurfMOD)—Model description and evaluation
Hydrological processes in arid/semi-arid agricultural watersheds are challenging to simulate accurately due to the strong interactions within the hydrological cycle and the influences of agricultural activities. This paper introduces a new mechanistic, distributed hydrological model (named SurfMOD), developed to effectively simulate the dynamics of water and salt in the vadose zone, groundwater, surface water, plant, and their interactions over time and space. The processes are simulated based on the numerical solution of partial differential equations and a practical spatiotemporal coupling method is proposed to ensure the computational efficiency. In addition, SurMOD provides functions to consider various agricultural practices (e.g., surface mulching, soil bunds, canal seepage, and multi-order drainage system). SurfMOD was tested using observed data from typical arid/semi-arid agricultural areas in the upper Yellow River basin: an experimental site (Yangchang canal command area, YCA) during 2012–2013; and a region-scale area (Jiyuan Irrigation System, Jiyuan) in 2021. The results showed excellent agreement between the simulations and observed data, with coefficients of determination (R2) exceeding 0.44, 0.39, 0.38, and 0.87 for soil water content and salinity concentration, groundwater level, ditch drainage rate, and leaf area index, respectively. The Nash-Sutcliffe Efficiency was satisfactory, and the root mean square error was acceptably low in both case studies. Furthermore, the irrigation scenario tests and comparisons to previous studies demonstrate that SurfMOD offers significant advantages in both simulation accuracy and computational efficiency. Overall, SurfMOD enhances the capability of hydrological models to simulate coupled processes of complete water cycling and plant growth in arid/semi-arid agricultural watersheds. It could become a valuable tool for the quantitative analysis of arid/semi-arid agro-ecosystems, scenario forecasting, and the efficient management of water use and salinity control on a regional scale.
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.