基于Hyfran、Web Map Service和HEC-RAS软件的Koya流域洪水模型研究

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES
A. Dawood, Dana K. Mawlood, N. Al‐Ansari
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引用次数: 0

摘要

本研究利用WMS软件对高崖流域进行了边界划分,并绘制了流域内的流域路径,对流域的形态特征信息进行了分析,发现流域的形态特征对洪水的发生有一定的影响。平均地表径流深度取决于基于土壤覆盖类型和土壤类别的曲线数值,该曲线数值表明研究区土壤类别为B类粉砂质壤土,所得结果还表明地表径流潜力随土地利用方式和土壤特征而变化。同时,曲线数(CN)的值确定为71。水文建模由HEC-HMS程序执行,该程序使用SCS曲线数模型模拟降雨到径流的过程。在汇水区出水口处绘制了洪水线图,并用HEC-RAS软件对河漫滩圈定结果进行了验证。结果表明,百年一遇的洪涝灾害可能会到达城市、农业区、居住区等关键区域。研究结果表明,在集水区有适宜的场地建设小型水坝和集水塘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flood Modeling on Koya Catchment Area Using Hyfran, Web Map Service, and HEC-RAS Software
In this research, The boundaries of the Koya catchment area have been delineated, and valley paths in the region were drawn by using the Water Modeling System (WMS) software, Analysis of the morphometric information indicated that the morphometric characteristics of watersheds contribute to the floods. The average surface runoff depth depends on the curve number values that are determined based on the types of soil cover and soil class according to Harmonized World Soil Database HWSD software that indicates the soil class in the study area are Group B silt loam,  The results obtained also show that the potential for surface runoff varies with land use and soil characteristics. Also, the value of the curve number (CN) was determined to be 71. The hydrological modeling was performed by the HEC-HMS program that simulates the process of rainfall to runoff using the SCS curve number model. A flood hydrograph was constructed at the catchment area outlet and the floodplain delineation was verified by the HEC-RAS software. The results indicated that the 100-year return period flood could Reach critical areas such as the urban area, agricultural area, residential areas. the results of this study indicate that there are suitable sites in the catchment areas for constructing small dams and ponds for water harvesting. 
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来源期刊
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY MULTIDISCIPLINARY SCIENCES-
自引率
33.30%
发文量
33
审稿时长
16 weeks
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