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首页> 外文期刊>Journal of Geographic Information System >Estimation of Sediment Yield of Govindsagar Catchment, Lalitpur District, (U.P.), India, Using Remote Sensing and GIS Techniques
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Estimation of Sediment Yield of Govindsagar Catchment, Lalitpur District, (U.P.), India, Using Remote Sensing and GIS Techniques

机译:利用遥感和GIS技术估算印度拉利特浦地区Govindsagar集水区的产沙量

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Soil erosion is a global phenomenon, which results in sedimentation and siltation of reservoirs of major rivers. Remote sensing data provide a synoptic view from which several surface parameters can be derived to assess the sedimentation yield in the reservoirs. Hence estimation of sediment yield has become one of the important tasks for planners, engineers and decision makers. The present study in Govindsagar catchment, Lalitpur District, Uttar Pradesh (India), has been carried out using IRS LISS III data to analyse land use/cover characteristics besides drainage basin characterstics. Subsequently, Sediment Yield Index (SYI) of Govindsagar catchment has been estimated using surface derivatives and morphometric parameters using empirical formulae. Integration of results obtained from satellite data and morphometric analysis suggests that the Govindsagar catchment has very low rate of sediment yield i.e. 0.07 ha·m/year indicating a gentle slope and sustainable land use practices in the catchment. Low sediment yield also suggests less erosion in the catchment areas and healthy land use/cover scenario.
机译:水土流失是一种全球性现象,导致主要河流水库发生淤积和淤积。遥感数据提供了一个天气概况,从中可以得出几个地表参数来评估储层中的沉积量。因此,泥沙产量的估算已成为规划者,工程师和决策者的重要任务之一。本研究是在印度北方邦拉利特浦地区Govindsagar流域(印度)进行的,该研究使用IRS LISS III数据分析了流域特征以外的土地利用/覆盖特征。随后,使用表面导数和形态计量参数并根据经验公式估算了戈文萨加尔集水区的沉积物产量指数(SYI)。从卫星数据和形态分析获得的结果的综合表明,戈文萨加流域的沉积物产率非常低,即0.07公顷/年/年,表明该流域坡度平缓,土地利用方式可持续。较低的沉积物产量也表明集水区的侵蚀较少,土地使用/覆盖状况良好。

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