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首页> 外文期刊>Environmental earth sciences >Soil erosion assessment using USLE in the GIS environment: a case study in the Danjiangkou Reservoir Region, China
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Soil erosion assessment using USLE in the GIS environment: a case study in the Danjiangkou Reservoir Region, China

机译：GIS环境下利用USLE进行水土流失评估-以中国丹江口水库库区为例

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The purpose of this study was to investigate the spatial distribution of annual soil loss in the Danjiangkou Reservoir Region, China. Soil erosion was estimated by integrating the universal soil loss equation (USLE) model with GIS. The main factors affecting soil erosion including rainfall erosivity, soil erodibility, slope length and steepness, cover and management factor, and conservation supporting practice factor were determined from precipitation data, soil sample analysis, digital elevation model, land use and land cover, and empirical assessment, respectively. The results showed that the average annual soil erosion was 31.18 t hm(-2) year(-1), far above the soil loss tolerance maximum of 5.0 t hm(-2) year(-1) in the region. Regional soil erosion risk (SER) was estimated and categorized into five classes in terms of intensity (minimal, low, moderate, high, and intense), and 70.3 % of the total area was classified as minimal or low erosion risk. The soil erosion map was linked to land use and soil depth maps to explore the relationship between soil erosion and environmental factors and identify the areas of SER. The results can be used to advise the local people to prioritize critical areas for soil erosion prevention measures. The study also indicated that the USLE-GIS methodology allowed for relatively easy and cost-effective evaluation of SER with explicit spatial input.
机译：这项研究的目的是调查中国丹江口水库库区年土壤流失的空间分布。通过将通用水土流失方程（USLE）模型与GIS相集成来估算土壤侵蚀。根据降雨数据，土壤样本分析，数字高程模型，土地利用和土地覆盖以及经验数据，确定了影响土壤侵蚀的主要因素，包括降雨侵蚀力，土壤易蚀性，坡度和陡度，覆盖和管理因子以及保护支持实践因子。评估。结果表明，平均年土壤侵蚀量为31.18 t hm（-2）year（-1），远高于该地区5.0 t hm（-2）year（-1）的最大土壤流失耐受性。估计了区域土壤侵蚀风险（SER），并根据强度分为五类（最小，低，中，高和强​​烈），总面积的70.3％被分类为最小或低侵蚀风险。将土壤侵蚀图与土地利用和土壤深度图联系起来，以探索土壤侵蚀与环境因素之间的关系并确定SER的区域。研究结果可用于建议当地人优先考虑关键地区的水土流失防治措施。这项研究还表明，USLE-GIS方法可以在显式空间输入的情况下对SER进行相对简单且经济高效的评估。

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