Simulation of the rainfall–runoff relationship using an HEC-HMS hydrological model for Dabus Subbasin, Blue Nile Basin, Ethiopia

IF 1.5 Q4 WATER RESOURCES
Zemede Landu Yilma, Habtamu Hailu Kebede
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引用次数: 0

Abstract

Hydrological modeling is important to provide relevant hydrologic information from limited data. In this study, Hydrologic Modeling System (HEC-HMS) was used to simulate the rainfall–runoff relationship for the Dabus subbasin of the Blue Nile Basin. Daily precipitation and stream flow data from 2002 to 2019 were used as key input data for the model, together with soil and land use/land cover data, and a digital elevation model of the study area. Arc-GIS was employed in combination with Arc Hydro and HEC-GeoHMS tools for terrain processing and translating spatial information into model files for HEC-HMS, respectively. Model calibration was done with data from 2002 to 2014, while the validation was done from 2015 to 2019. Nash-Sutcliffe simulation efficiency (NSE), observation standardized ratio (RSR), and coefficient of correlation (R2) were used to assess the performance of the model. With NSE, RSR, and R2 values of 0.784, 0.334, and 0.816 for calibration, and 0.793, 0.323, and 0.875 for validation, the model simulation of stream flows was found in good agreement with the observed values. Therefore, the HEC-HMS model can be utilized to predict stream flows in ungauged catchments in the Dabus subbasin from measured rainfall data for proper water resource planning and management.
使用HEC-HMS水文模型模拟埃塞俄比亚青尼罗河流域Dabus Subbasin的降雨-径流关系
水文建模对于从有限的数据中提供相关的水文信息非常重要。在本研究中,水文建模系统(HEC-HMS)用于模拟青尼罗河流域Dabus子流域的降雨-径流关系。2002年至2019年的日降水量和流量数据与土壤和土地利用/土地覆盖数据以及研究区域的数字高程模型一起被用作该模型的关键输入数据。Arc GIS与Arc Hydro和HEC GeoHMS工具相结合,分别用于地形处理和将空间信息转换为HEC-HMS的模型文件。模型校准是用2002年至2014年的数据进行的,而验证是在2015年至2019年进行的。Nash-Sutcliffe模拟效率(NSE)、观测标准化比率(RSR)和相关系数(R2)用于评估模型的性能。NSE、RSR和R2值分别为0.784、0.334和0.816用于校准,0.793、0.323和0.875用于验证,发现水流的模型模拟与观测值非常一致。因此,HEC-HMS模型可用于根据测得的降雨量数据预测Dabus子流域未经调节的集水区的流量,以进行适当的水资源规划和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
H2Open Journal
H2Open Journal Environmental Science-Environmental Science (miscellaneous)
CiteScore
3.30
自引率
4.80%
发文量
47
审稿时长
24 weeks
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