Yanshun Liu , Chenglong Hao , Xiao Zhang , Hao Yu , Yuxue Sun , Zhanchao Yin , Xianghui Li
{"title":"Sluice gate flow model considering section contraction, velocity uniformity, and energy loss","authors":"Yanshun Liu , Chenglong Hao , Xiao Zhang , Hao Yu , Yuxue Sun , Zhanchao Yin , Xianghui Li","doi":"10.1016/j.jhydrol.2025.133020","DOIUrl":null,"url":null,"abstract":"<div><div>The accurate prediction of sluice gate flow is critical for the management of irrigation and flood discharge, but existing models rely on certain assumptions that can compromise their results. This study develops a novel calculation model for sluice gate flow in both free and submerged conditions by examining the complete energy–momentum equations and taking into account factors such as section contraction, velocity uniformity, and energy loss. Numerical simulations were subsequently conducted to establish equations for the contraction coefficient, Coriolis, Boussinesq, and energy loss coefficient. Finally, a sluice gate flow experiment was conducted, and the results of this and previous experiments were used to compare the performance of the proposed model with that of simplified energy–momentum equation models as well as the Henry, Swamee, Simulation of Irrigation Canals, and Specification models. The results indicate that the smallest prediction error, measured at just 4.51 %, was demonstrated by the proposed model, which also exhibited the lowest sensitivity to the submergence degree. Therefore, this study advances the theoretical understanding of free and submerged flows and offers a valuable reference informing flow measurements during irrigation and flood discharge processes.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"656 ","pages":"Article 133020"},"PeriodicalIF":5.9000,"publicationDate":"2025-03-05","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/S0022169425003580","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
The accurate prediction of sluice gate flow is critical for the management of irrigation and flood discharge, but existing models rely on certain assumptions that can compromise their results. This study develops a novel calculation model for sluice gate flow in both free and submerged conditions by examining the complete energy–momentum equations and taking into account factors such as section contraction, velocity uniformity, and energy loss. Numerical simulations were subsequently conducted to establish equations for the contraction coefficient, Coriolis, Boussinesq, and energy loss coefficient. Finally, a sluice gate flow experiment was conducted, and the results of this and previous experiments were used to compare the performance of the proposed model with that of simplified energy–momentum equation models as well as the Henry, Swamee, Simulation of Irrigation Canals, and Specification models. The results indicate that the smallest prediction error, measured at just 4.51 %, was demonstrated by the proposed model, which also exhibited the lowest sensitivity to the submergence degree. Therefore, this study advances the theoretical understanding of free and submerged flows and offers a valuable reference informing flow measurements during irrigation and flood discharge processes.
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.