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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >The CSLE model based soil erosion prediction: Comparisons of sampling density and extrapolation method at the county level
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The CSLE model based soil erosion prediction: Comparisons of sampling density and extrapolation method at the county level

机译：基于CSLE模型的土壤侵蚀预测：县级采样密度与外推法的比较

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摘要

The Universal Soil Loss Equation (USLE) is an empirical equation commonly applied to predict soil erosion throughout the world. In China, the Chinese Soil Loss Equation (CSLE) has been developed for estimating annual soil erosion by water on the basis of the USLE. It is proven that two factors (i.e., sampling density and extrapolation method) are important in the application of CSLE for soil erosion survey and evaluation. In this study, based on the SPOT 6 image (1.5 m resolution) and the 1:10,000 topographic map in Yishui county of the Ylmeng Mountain Area (YMA), eastern China, two sampling densities (1% and 4%) were selected and three extrapolation methods (grid based calculation, direct extrapolation, and Kriging extrapolation based on sampling units) were adopted to compare their effect on the CSLE calculated soil erosion condition and status. Results showed that estimated soil erosion by direct extrapolation and Kriging extrapolation methods varies largely with sampling density. The discrepancy of the soil erosion area ratios calculated by the two methods are 6.5% and 7.7% under the 1% and 4% sampling density, and the relative discrepancies are 15.9% and 16.2%, respectively. But the grid calculation method is less affected by sampling density. The discrepancy of soil erosion area ratios is only 0.9% and 2.0%, respectively, under the 1% with 4% sampling density. Considering both field workload and prediction accuracy of soil erosion, the 1% sampling density with the grid calculation method is recommended when high resolution remotely sensed data are available. Otherwise, the 4% sampling density with either extrapolation method should be used. The research can provide useful reference information for ensuring the accuracy and reducing the survey workload on the application of CSLE in other areas.
机译：通用土壤损失方程（USLE）是一种经验方程，普遍应用于预测全世界的土壤侵蚀。在中国，中国土壤损失方程（CSLE）已开发用于估算水的年度土壤侵蚀在elle的基础上。据证明，两个因素（即采样密度和外推方法）在应用CSLE进行土壤侵蚀调查和评估中是重要的。在这项研究中，基于SPOP 6图像（1.5米的分辨率）和1：10,000沂水县的ylmeng山区（YMA），东部，两种采样密度（1％和4％）被选中和采用三种外推方法（基于网格的计算，直接推断和基于采样单位的克里格外推），以比较它们对CSLE计算的土壤侵蚀条件和地位的影响。结果表明，直接外推和克里格外推方法的估计土壤腐蚀在很大程度上随着采样密度而变化。通过两种方法计算的土壤侵蚀面积比的差异在1％和4％的采样密度下为6.5％和7.7％，相对差异分别为15.9％和16.2％。但是，通过采样密度影响栅格计算方法较小。土壤侵蚀面积比的差异分别仅为0.9％和2.0％，在1％下采样密度为4％。考虑到土壤侵蚀的现场工作量和预测准确性，当高分辨率传感数据可用时，建议使用具有网格计算方法的1％采样密度。否则，应使用带有外推法的4％采样密度。该研究可以提供有用的参考信息，以确保准确性和降低在其他区域应用CSLE应用的调查工作量。

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  • 来源
  • 作者

    Zhang Hongda; Zhang Ronghua; Qi Fei; Liu Xia; Niu Yong; Fan Zhaofei; Zhang Qinghong; Li Jiazuo; Yuan Li; Song Yuanyuan; Yang Shaoyang; Yao Xiaoyou;

  • 作者单位

    Nanjing Forestry Univ Forestry Coll Jiangsu Key Lab Soil &

    Water Conservat &

    Ecol Re Collaborat Innovat Ctr Sustainable Forestry South Nanjing 210037 Jiangsu Peoples R China;

    Shandong Agr Univ Forestry Coll Shandong Prov Key Lab Soil Eros &

    Ecol Restorat Tai An 271018 Shandong Peoples R China;

    Nanjing Forestry Univ Forestry Coll Jiangsu Key Lab Soil &

    Water Conservat &

    Ecol Re Collaborat Innovat Ctr Sustainable Forestry South Nanjing 210037 Jiangsu Peoples R China;

    Nanjing Forestry Univ Forestry Coll Jiangsu Key Lab Soil &

    Water Conservat &

    Ecol Re Collaborat Innovat Ctr Sustainable Forestry South Nanjing 210037 Jiangsu Peoples R China;

    Shandong Agr Univ Forestry Coll Shandong Prov Key Lab Soil Eros &

    Ecol Restorat Tai An 271018 Shandong Peoples R China;

    Auburn Univ Sch Forestry &

    Wildlife Sci Auburn AL 36830 USA;

    Nanjing Forestry Univ Forestry Coll Jiangsu Key Lab Soil &

    Water Conservat &

    Ecol Re Collaborat Innovat Ctr Sustainable Forestry South Nanjing 210037 Jiangsu Peoples R China;

    Minist Water Resources Monitoring Ctr Stn Soil &

    Water Conservat Huaihe River Commiss Bengbu 233001 Peoples R China;

    Minist Water Resources Monitoring Ctr Stn Soil &

    Water Conservat Huaihe River Commiss Bengbu 233001 Peoples R China;

    Nanjing Forestry Univ Forestry Coll Jiangsu Key Lab Soil &

    Water Conservat &

    Ecol Re Collaborat Innovat Ctr Sustainable Forestry South Nanjing 210037 Jiangsu Peoples R China;

    Mississippi State Univ Forestry Dept Starkville MS 39759 USA;

    Minist Water Resources Monitoring Ctr Stn Soil &

    Water Conservat Huaihe River Commiss Bengbu 233001 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土壤学;
  • 关键词

    CSLE model; Sampling density; Direct extrapolation; Kriging extrapolation; Grid calculation;

    机译：CSLE模型;采样密度;直接推断;克里格外推;网格计算;

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