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IMPROVEMENT OF THE VARIABLE STORAGE COEFFICIENT METHOD WITH WATER SURFACE GRADIENT AS A VARIABLE

机译:以水面梯度为变量的变量存储系数法的改进

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The variable storage coefficient (VSC) method has been used for streamflow routing in continuous hydrological simulation models such as the Agricultural Policy/Environmental eXtender (APEX) and the Soil Water Assessment Tool (SWAT) for more than 30 years. APEX operates on a daily time step and offer options for simulating processes on shorter time steps (e.g., hourly). However, APEX is not adequate for applications such as designing flood control structures or estimating flood damages because of a fundamental assumption in the VSC method: the normal flow condition. The storage with variable slope (SVS) method and an enhanced variable storage coefficient (VSCe) method are proposed as new routing methods for continuous simulation models that will improve flow routing and water quality simulation at subdaily time scales. This study describes the principle of the SVS method and the VSCe method and their performances against HEC-RAS unsteady flow results for various hydraulic and geometric conditions. Results show that the peak flow and the time to peak flow improved by up to 20% with SVS and VSCe on mild slopes (less than 0.0005 m m(-1)) and small time steps of less than 1 h when compared to the conventional VSC method, although the difference narrowed as the channel slope and time interval increased A case study on a small agricultural watershed in Texas indicates that both VSCe and VSC are reliable in watershed applications, but the improvement in streamflow prediction can be marginal in watersheds with steep slopes
机译:可变存储系数(VSC)方法已在连续水文模拟模型(如农业政策/环境扩展器(APEX)和土壤水评估工具(SWAT))中用于水流路由,已有30多年的历史了。 APEX以每天的时间步长运行,并提供用于以较短的时间步长(例如每小时)模拟流程的选项。但是,由于VSC方法中的一个基本假设:正常流量条件,APEX不足以用于设计防洪结构或估算洪灾损失等应用。作为连续模拟模型的新路由方法,提出了变坡度存储(SVS)方法和增强型可变存储系数(VSCe)方法,这些方法将改善次日尺度上的流量路由和水质模拟。这项研究描述了SVS方法和VSCe方法的原理,以及它们在各种水力和几何条件下针对HEC-RAS非稳态流动结果的性能。结果表明,与常规VSC相比,在平缓坡度(小于0.0005 mm(-1))和小于1 h的小时间步长的情况下,SVS和VSCe的峰值流量和达到峰值流量的时间最多可提高20%方法,尽管随着河道坡度和时间间隔的增加,差异会缩小。以德克萨斯州的一个小农业流域为例,研究表明,VSCe和VSC在分水岭应用中都是可靠的,但是在陡坡的流域中,流量预测的改善可能是微不足道的

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