Yanshun Liu , Chenglong Hao , Xiao Zhang , Hao Yu , Yuxue Sun , Zhanchao Yin , Xianghui Li
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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.
水闸流量的准确预测对灌溉和泄洪管理至关重要,但现有模型依赖于某些假设,可能会损害其结果。本文通过考察完整的能量-动量方程,并考虑断面收缩、速度均匀性和能量损失等因素,建立了一种新的自由和淹没条件下水闸流量计算模型。随后进行了数值模拟,建立了收缩系数、科里奥利系数、布辛尼斯克系数和能量损失系数的方程。最后,进行了水闸水流实验,并将实验结果与前人的简化能量-动量方程模型以及Henry、Swamee、Simulation of Irrigation Canals和Specification模型的性能进行了比较。结果表明,该模型的预测误差最小,仅为4.51 %,对淹没度的敏感性最低。因此,本研究提高了对自由流和淹没流的理论认识,并为灌溉和泄洪过程中的流量测量提供了有价值的参考。
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.