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首页> 外文期刊>Journal of hydrologic engineering >Comparison of Lumped and Quasi-Distributed Clark Runoff Models Using the SCS Curve Number Equation
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Comparison of Lumped and Quasi-Distributed Clark Runoff Models Using the SCS Curve Number Equation

机译:使用SCS曲线数方程比较集总和准分布的Clark径流模型

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摘要

The Clark synthetic unit hydrograph and the Soil Conservation Service (SCS) curve number method has been used to simulate the rainfall and runoff behavior of a watershed for many years. Methodologies like Clark generally rely on the use of lumped or average rainfall and runoff parameters defined for the watershed, even though such parameters are spatially variable. In an attempt to leverage spatial parameters derived from geographic information, a modified Clark (ModClark) method or quasi-distributed model was developed for HEC-HMS. The ModClark method was initially developed to use the national network of WSR-88D radar (NEXRAD) rainfall data but few has been published on its application which is likely because of the difficulties in obtaining usable and reliable radar rainfall data and because of a lack of despisal preprocessing tools required to parameterize a ModClark simulation. While the original implementation and testing of the ModClark method required the use of NEXRAD data in specific formats, this study shows that it is possible to use any real or synthetic rainfall data whether it is spatially distributed or not. By not restricting the use of the distributed ModClark method to the use of spatially varying rainfall, distributed loss methods such as the commonly used SCS curve number can vary spatially over a grid and the effects of distributed watershed loss parameters can be analyzed with or without distributed rainfall. The implementation of the ModClark method in HEC-HMS is validated by comparing results to the Clark method using identical CN values. Further tests and examination of the SCS equation demonstrate that the runoff computed from distributed CN is always greater than the runoff computed from the traditional composite or area-averaged CN for ordinary ranges of rainfall depths. Moreover, by allowing a relatively fine grid resolution, the ModClark method determines the overall runoff from the watershed using a discharge weighted approach as opposed to weighted CN, which as reported in the National Engineering Handbook Part 630 is more accurate.
机译:多年来,克拉克合成单元水文图和土壤保护局(SCS)曲线数方法已被用于模拟流域的降雨和径流行为。像Clark一样的方法通常依赖于集水或平均降雨量以及为流域定义的径流参数的使用,即使这些参数在空间上是可变的。为了利用从地理信息中得出的空间参数,针对HEC-HMS开发了一种改进的Clark(ModClark)方法或准分布式模型。 ModClark方法最初是为使用WSR-88D雷达(NEXRAD)全国网络而开发的,但有关其应用的报道很少,这很可能是由于难以获得可用和可靠的雷达降雨数据,以及缺乏参数化ModClark仿真所需的Desssal预处理工具。尽管ModClark方法的原始实现和测试要求使用特定格式的NEXRAD数据,但这项研究表明,无论是否是空间分布的,都可以使用任何真实或合成的降雨数据。通过不将分布式ModClark方法的使用限制为使用空间变化的降雨,分布式损耗方法(例如常用的SCS曲线数)可以在网格上空间变化,并且可以在有或没有分布的情况下分析分水岭损失参数的影响雨量。通过将结果与使用相同CN值的Clark方法进行比较,可以验证HEC-HMS中ModClark方法的实现。进一步的测试和对SCS方程的检验表明,对于普通的降雨深度范围,从分布式CN计算的径流总是大于从传统的复合或面积平均CN计算的径流。此外,通过允许相对较细的网格分辨率,ModClark方法使用排放加权方法而不是加权CN来确定流域的总径流,如国家工程手册第630部分所报道的,CN更为精确。

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