Runoff Estimation by Using the (SCS-CN) Method with GIS and RS for Wadi Shuieb Watershed

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Abstract

The goal of this study is to estimate surface runoff using (SCS-CN) and Geographic Information System and remote sensing (GIS &RS) in Wadi Shuieb Basin which is located within the dry region in central Jordan. The maps of the hydrological soils and land use / land cover were used within the GIS environment toolbox to produce table and map of the curve number (CN). The model of the curve number was then used to estimate the runoff which corresponds to the rain storms within the watershed. Due to the inconsistence records of runoff within the study area, the SCS-CN model was found to be an effective method for estimating the runoff generation. The results show that the SCS-CN method provides high-precision results in estimating surface runoff which particularly based on rain storms. The corresponding values were (57.7), (76.5) and (88.4) under dry, normal and wet conditions respectively. This in turns influences the surface storage (S) and the initial loss (Ia). The results furthermore, illustrate that the highest rate of surface runoff (64940 m3) was in Salt meteorological station, whereas (Ira) meteorological station has the lowest rate of surface runoff (14580 m3). Key Words: Surface Runoff, Curve Number, Wadi Shuieb, Hydrologic, Soil Conservation Service Model.
基于GIS和RS的(SCS-CN)流域径流估算
本研究的目的是利用(SCS-CN)和地理信息系统和遥感(GIS &RS)对位于约旦中部干旱地区的Wadi Shuieb盆地的地表径流进行估算。利用GIS环境工具箱中的水文土壤和土地利用/土地覆被图生成曲线数(CN)表和图。然后用曲线数模型来估计流域内与暴雨相对应的径流量。由于研究区域内的径流记录不一致,发现SCS-CN模型是估算产流的有效方法。结果表明,SCS-CN方法对地表径流的估计精度较高,特别是在暴雨条件下。在干燥、正常和潮湿条件下,相应值分别为(57.7)、(76.5)和(88.4)。这反过来又影响表面储存(S)和初始损耗(Ia)。结果表明,盐湖站地表径流量最大(64940 m3),而(Ira)站地表径流量最小(14580m3)。关键词:地表径流,曲线数,河道,水文学,水土保持服务模式
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