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Soil erosion modeling of a Himalayan watershed using RS and GIS

机译:基于RS和GIS的喜马拉雅流域水土流失建模。

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摘要

Employing the remote sensing (RS) and geographical information system (GIS), an assessment of sediment yield from Dikrong river basin of Arunachal Pradesh (India) has been presented in this paper. For prediction of soil erosion, the Morgan-Morgan and Finney (MMF) model and the universal soil loss equation (USLE) have been utilized at a spatial grid scale of 100 m ×100 m, an operational unit. The average annual soil loss from the Dikrong river basin is estimated as 75.66 and 57.06 t ha~(-1) year~(-1) using MMF and USLE models, respectively. The watershed area falling under the identified very high, severe, and very severe zones of soil erosion need immediate attention for soil conservation.
机译:本文利用遥感(RS)和地理信息系统(GIS),对印度阿鲁纳恰尔邦迪克朗河流域的沉积物产量进行了评估。为了预测土壤侵蚀,已在100 m×100 m的空间网格规模(操作单位)上使用了Morgan-Morgan和Finney(MMF)模型和通用土壤流失方程(USLE)。使用MMF和USLE模型估计Dikrong流域的年平均土壤流失量分别为75.66 t ha〜(-1)年〜(-1)。属于已确定的非常高,严重和非常严重的土壤侵蚀区域的流域区域需要立即引起注意,以保持土壤。

著录项

  • 来源
    《Environmental Geology》 |2009年第2期|399-410|共12页
  • 作者单位

    Department of Water Resource Development and Management, IIT Roorkee, Roorkee 247 667, India;

    Department of Agricultural and Food Engineering, IIT Kharagpur, Kharagpur 721 302, India;

    Department of Water Resource Development and Management, IIT Roorkee, Roorkee 247 667, India;

    Department of Agricultural and Food Engineering, IIT Kharagpur, Kharagpur 721 302, India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DEM; erosion; MMF; GIS; remote sensing; USLE;

    机译:DEM;侵蚀;MMF;地理信息系统遥感;美国大学;

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