TRMM降水在尼泊尔卡纳利河流域HEC-HMS水文模拟中的适用性

Arjun Mahotra
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摘要

本研究旨在对HEC-HMS模型在尼泊尔卡纳利河流域进行验证,同时对该地区的模型参数进行物理验证。HEC-HMS模型是一种基于物理的半分布式模型,它需要特定地点的天气信息,以及土壤和土地利用的空间信息。利用Arc-GIS、HEC- hms和HEC DSS,在Asaraghat (DHM站240)建立了1998-2005年卡纳利河流域的水文降雨径流模型。1998-2001年校正的NSE值为73.2%,R2值为84%。2003-2005年验证的NSE值为72.4%,R2值为82.02%。为了评价TRMM 3B42V7降雨产品的性能,采用了NSE和R2等统计指标。结果表明,TRMM降水资料可靠,在卡纳利河流域具有较好的应用精度。研究结果表明,TRMM降水数据可作为尼泊尔地区雨量站稀疏的流域的替代数据源。结果还表明,HEC-HMS建模工具足以将降雨和径流联系起来。结合流域物理特征,对各子流域和河段的模型参数进行了分析。在校准和计算的初始抽象和Muskingum K, x中发现了微小的变化,导致模型参数的物理验证。
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Applicabilty of TRMM Precipitation for Hydrological Modeling Using HEC-HMS in Karnali River Basin in Nepal
This study aims to validate the HEC-HMS model in the Karnali river basin of Nepal, while also physically verifying the model parameters for the area. The HEC-HMS model is a semi-distributed physically based model that requires site-specific information about the weather, as well as spatial information on soil and land use. Using Arc-GIS, HEC-HMS, and HEC DSS, a hydrological rainfall runoff model was developed for the Karnali River basin at Asaraghat (DHM station 240) for the period of 1998-2005. Calibration for the time period of 1998-2001 resulted in an NSE value of 73.2% and an R2 value of 84%. Validation for the time period of 2003-2005 resulted in an NSE value of 72.4% and an R2 value of 82.02%. To evaluate the performance of the TRMM 3B42V7 rainfall product, statistical indicators such as NSE and R2 were used. Results showed that the TRMM rainfall data was reliable and had good precision in application to the Karnali River Basin. This study concludes that the TRMM rainfall data can be used as an alternative data source for basins with sparse rain gauge stations in Nepal. The results also suggest that the HEC-HMS modeling tool is good enough to relate rainfall and runoff. The model parameters for each sub-basin and reaches were analyzed with the physical characteristics of the watershed. Minor variations were found within calibrated and calculated Initial abstraction and Muskingum K, x, leading to the verification of the model parameters physically.
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