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Impact of Temporal Variation of Land Use/Land Cover and Precipitation on Runoff Estimation in an Ungauged Hilly Watershed in Kodagu

机译:土地利用/陆地覆盖的时间变化和降水对柯达山上未凝固丘陵流域径流估计的影响

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This paper deals with the impact of temporal variation of Land use/Land cover (LULC) and precipitation on runoff estimation for an un-gauged hilly watershed in Kodagu District of Karnataka, India. Sloped Terrain of the watershed and increasing trend of rainfall over the last decade, has been contributing to high runoff values which has ultimately damaged the rich flora and fauna of the region. The total area of the watershed is 459.31 km . The land use/land cover change analysis has been performed for the years 2004, 2007, 2013, and 2018. Remote sensing and GIS techniques have been used to identify the watershed and for developing thematic maps. Very popular, soil conservation service-Curve number (SCS-CN) (USDA), method has been used in this study to estimate the seasonal runoff from the rainfall. The LULC maps have been generated by supervised maximum likelihood classification technique in order to get higher accuracy in the estimation of curve numbers. Class-wise runoff coefficients have been estimated to analyse the response of each class to rainfall. The runoff response for a watershed depends both on precipitation as well as land use/land cover classes. The impact of both the factors has been assessed in the estimation of runoff, and it has been observed that the impact of rainfall factor is more. The runoff values have been obtained for return periods of 10, 20, 30, 50, and 100 years by using the value of runoff coefficient averaged over 15 years.
机译:本文涉及土地利用/陆地覆盖(LULC)的时间变化和降水对印度克纳塔克卡岛康达区未计量的丘陵流域径流估计的影响。在过去的十年里,流域的地形和降雨量增加的趋势,一直有助于高径流价值,最终损害了该地区的富人植物和动物群。分水岭的总面积为459.31公里。已在2004年,2007年,2013年和2018年进行的土地使用/陆地覆盖变更分析。遥感和GIS技术已被用来识别流域和开发专题地图。非常流行的土壤保护服务曲线数(SCS-CN)(USDA),方法已被用于本研究以估算降雨中的季节性径流。 LULC地图已经通过监督的最大似然分类技术生成,以便在曲线数的估计中获得更高的准确性。据估计,明智的径流系数估计分析每个班级降雨的响应。流域的径流响应取决于降水以及土地使用/陆地覆盖类。在径流量估计中评估了两个因素的影响,已经观察到降雨因子的影响更多。通过使用15年超过15年的跳频系数的值,已经获得了10,20,30,50和100年的返回时段获得的径流值。

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