Comparison of Soil Erosion Monitoring Methods in Xihe River Basin in Liaoning Province

XU Jing; SHI Ming-chang; WANG Xiao-yun; HU Ying; DU Zhe; JIANG Chun-ying

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Comparison of Soil Erosion Monitoring Methods in Xihe River Basin in Liaoning Province

- Comparison of Soil Erosion Monitoring Methods in Xihe River Basin in Liaoning Province
- Bulletin of Soiland Water Conservation Vol. 30, Issue 2, Pages: 103-107(2011)
- 作者机构：
  
  1. 北京林业大学省部共建森林培育与保护教育部重点实验室
  2. 北京地拓科技发展有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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XU Jing, SHI Ming-chang, WANG Xiao-yun, et al. Comparison of Soil Erosion Monitoring Methods in Xihe River Basin in Liaoning Province[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 103-107.
DOI：

XU Jing, SHI Ming-chang, WANG Xiao-yun, et al. Comparison of Soil Erosion Monitoring Methods in Xihe River Basin in Liaoning Province[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 103-107. DOI：

摘要

以辽宁省细河流域为例

基于RUSLE模型和环境与灾害监测预报小卫星HJ-1A/1B的CCD数据

计算了该流域的土壤侵蚀状况

将土壤侵蚀强度分级后的结果与多因素综合法得到的土壤侵蚀强度分级结果及2005年辽宁省土壤侵蚀遥感调查结果进行了对比验证。结果表明

HJ卫星的CCD数据适用于土壤侵蚀监测领域

RUSLE模型能够较好地应用于细河流域的土壤侵蚀监测中。2009年土壤侵蚀总面积比2005年第4次土壤侵蚀遥感调查结果有所降低

土壤侵蚀主要分布在西北和东南山区

其中强烈及以上等级的侵蚀则主要分布在"煤电之城"阜新市的露天煤矿地区。

Abstract

Based on RUSLE model

quantitative monitoring of soil erosion was carries out in the Xihe River Basin using HJ-1A/1B data

DEM

TRMM and other data.Soil erosion estimation from the monitoring was compared to the classification using the multi-factor method.In addition

further validation for monitoring results was performed using remote sensing survey of soil erosion of Liaoning Province published in 2005.The comparison results show that CCD data produced by HJ-1A/1B was adequate for soil erosion monitoring and RUSLE model can be applied well to monitor soil erosion.Total erosion area in 2009 reduced significantly comparing with that in 2005.Soil erosion distributed mainly in northwest and southeast mountainous areas of the study site

and the opencast coalmines within the "coal city" of Fuxin City resulted in severe or even stronger soil erosion.

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