Quantification of Sub-Watershed Wise Surface Runoff Using Remote Sensing, GIS and Soil Conservation Services – Curve Number Method, Karur District, Tamil Nadu, India

J. Muralitharan, K. Palanivel
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Abstract

Runoff is one of the significant hydrologic variables used in generally of the water resources applications. The Soil Conservation Service–Curve Number (SCS–CN) method is adopted for the evaluation of surface runoff in the Karur District, Tamil Nadu, India using multispectral remote sensing data, rainfall data and curve number approach. The weighted curve number is determined based on antecedent moisture condition (AMC)-II with an integration of Hydrologic Soil Groups(HSGs) and land use/ land cover categories. The daily runoff was estimated for rainfall Period September 2018 to November 2018. The results of the present study shows that the runoff depth for the study area are ranging in between 106.57 and 713.65 mm and runoff volume are ranging in between 2.75 and 126.21 mcm. In the present study, the methodology for determination of runoff for study area using remote sensing, GIS and SCS–CN method was described. Keywords: Surface runoff estimation, sub-watershed, Remote Sensing, GIS, Curve number.
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基于遥感、GIS和土壤保持服务的次流域地表径流量化——曲线数法,印度泰米尔纳德邦卡鲁区
径流是水资源应用中重要的水文变量之一。采用土壤保持服务曲线数(SCS-CN)方法,利用多光谱遥感数据、降雨数据和曲线数法对印度泰米尔纳德邦Karur地区的地表径流进行评价。加权曲线数是基于先验水分条件(AMC)-II,结合水文土壤类群(hsg)和土地利用/土地覆盖类别确定的。对2018年9月至11月降雨期间的日径流量进行了估算。结果表明:研究区径流深度在106.57 ~ 713.65 mm之间,径流量在2.75 ~ 126.21 mcm之间。本文介绍了利用遥感、GIS和SCS-CN方法确定研究区径流量的方法。关键词:地表径流估算,分流域,遥感,GIS,曲线数
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