首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Quantitative Determination of Soil Erosion and Prioritization of Micro-Watersheds Using Remote Sensing and GIS
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Quantitative Determination of Soil Erosion and Prioritization of Micro-Watersheds Using Remote Sensing and GIS

机译:遥感和GIS定量确定土壤侵蚀并确定小流域优先次序

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摘要

Soil erosion which occurs at spatially varying rate is a widespread threat to sustainable resource management at watershed scale. Thus estimation of soil loss and identification of critical area for implementation of best management practice is central to success of soil conservation programme. The present study focuses application of most widely used Universal Soil Loss Equation (USLE) to determine soil erosion and prioritization of micro-watersheds of Upper Damodar Valley Catchment (UDVC) of India. Annual average soil loss for the entire basin is 23.17 t/ha/yr; for micro-watersheds. High soil loss is observed in 345 micro-watersheds, medium in 159 micro-watersheds and low soil loss is observed in 201 micro-watersheds. It is found that, out of 705 micro-watersheds of UDVC, 453 micro-watersheds are in agreement with AISLUS suggested priority which is based on observed sediment yield, 116 micro-watersheds under predict and 136 micro-watersheds over predict the priority. Geographic Information System (GIS) is applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro-watershed level. The main advantage of the GIS methodology is in providing quick information on the estimated value of soil loss for any part of the investigated area.
机译:在空间上以不同的速率发生的土壤侵蚀是对流域尺度上可持续资源管理的广泛威胁。因此,估算土壤流失并确定实施最佳管理实践的关键区域对于土壤保持计划的成功至关重要。本研究的重点是应用最广泛使用的通用土壤流失方程(USLE)来确定土壤侵蚀和印度上达摩达河流域(UDVC)小流域的优先次序。整个流域的年平均土壤流失量为23.17吨/公顷/年;用于微流域。在345个微流域中观测到高土壤流失,在159个微流域中观测到中等水土流失,在201个微流域中观测到低水土流失。结果发现,在UDVC的705个微流域中,有453个微流域与AISLUS建议的优先级一致,该优先级基于观测到的沉积物产量,其中116个微流域处于预测中,136个微流域高于预测中的优先级。地理信息系统(GIS)用于准备USLE参数的各层,以交互方式估算微流域水平上的土壤侵蚀。 GIS方法的主要优点是可以提供有关所调查区域任何部分的土壤流失估计值的快速信息。

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