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APPLICATION OF GIS AND REMOTE SENSING IN DERIVATION OF CURVE NUMBER FOR SCS MODEL (CASE STUDY: KOTA DAMANSARA, SELANGOR)

机译:GIS和遥感在SCS模型曲线数推导中的应用(案例研究:雪兰莪的KOTA DAMANSARA)

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This paper depicts the usefulness of the application of GIS and remote sensing technique in data processing and analysis for an urban catchment. Kota Damansara, Selangor with a total catchment area of approximately 428 hectar is selected for the present study. The major landuse in Kota Damansaara are housing areas and shop lots which contribute impervious areas approximately to half of the catchment area, while the remaining areas are forest, schools, landscape and field. The United States Soil Conservation Service Curve Number (SCS-CN) Method or SCS Model is chosen for rainfall-runoff model. In the present study, remote sensing and GIS are applied to determine weighted curve number for a total of 177 sub-catchments by integrating layers such as landuse, Hydrologic Soil Group (HSG) and delineated catchments. Sensitivity of the Curve Number under different Hydrologic Soil Groups is also tested in the study using InfoWorks Collection System (InfoWorks CS).
机译:本文描述了将GIS和遥感技术应用到城市集水区的数据处理和分析中的有用性。本研究选择了雪兰莪州哥打白沙罗(Kota Damansara),总集水面积约为428公顷。哥打达曼萨拉(Kota Damansaara)的主要土地用途是房屋区和商店,这些区和防渗区占整个集水区的一半左右,而其余区域则是森林,学校,景观和田野。选择美国水土保持服务曲线编号(SCS-CN)方法或SCS模型作为降雨径流模型。在本研究中,通过整合土地利用,水文土壤群(HSG)和划定的集水区等层,应用遥感和GIS确定总共177个子集水区的加权曲线数。在这项研究中,还使用InfoWorks采集系统(InfoWorks CS)测试了不同水文土壤组下曲线编号的敏感性。

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