湖北农业科学 ›› 2024, Vol. 63 ›› Issue (2): 156-161,239.doi: 10.14088/j.cnki.issn0439-8114.2024.02.025

• 生态环境与治理 • 上一篇    下一篇

基于RUSLE模型的土壤侵蚀评价——以南京市六合区为例

吕寒1, 徐丽萍2, 陈其军2   

  1. 1.江苏省土地开发整理中心,南京 210017;
    2.南京六合区耕保站, 南京 211500
  • 收稿日期:2023-09-26 出版日期:2024-02-25 发布日期:2024-03-14
  • 作者简介:吕寒(1978-),女,江苏南京人,高级工程师,主要从事土地质量管理研究和工程工作,(电话)13951635202(电子信箱)306316250@qq.com。
  • 基金资助:
    南京市六合区补充耕地培肥示范区项目

The soil erosion evaluation based on RUSLE Model: A case study of Liuhe District, Nanjing City

LYU Han1, XU Li-ping2, CHEN Qi-jun2   

  1. 1. Jiangsu Land Development and Consolidation Center,Nanjing 210017,China;
    2. Nanjing Liuhe District Farming Preservation Station,Nanjing 211500,China
  • Received:2023-09-26 Online:2024-02-25 Published:2024-03-14

摘要: 以江苏省南京市六合区程桥街道为研究区域,根据水利部相关标准,采用理论算法、模型建立与现场应用相结合的研究思路,对研究区内土壤侵蚀强度进行评价过程研究。对现有的DEM生成方法和土地利用分类方法进行一定的优化,利用多源遥感影响数据提取土壤侵蚀的监测要素,基于RUSLE模型,估算研究区内土壤侵蚀强度。将现场实际应用结果与现行方法进行对比分析,验证了理论、算法的有效性及客观性。

关键词: 土壤侵蚀, RUSLE模型, DEM, 土地分类, 南京市六合区

Abstract: Taking Chengqiao Street, Liuhe District, Nanjing City, Jiangsu Province, as the research area, the evaluation process of soil erosion intensity in the research area was studied by combining theoretical algorithm, model building and field application according to the relevant standards of the Ministry of Water Resources. The existing DEM generation method and land use classification method were optimized to some extent, and the monitoring elements of soil erosion were extracted by using multi-source remote sensing impact data, and the soil erosion intensity in the study area was estimated based on the RUSLE model. The results of practical application in the field were compared and analyzed with the existing methods to verify the validity and objectivity of the theories and algorithms.

Key words: soil erosion, RUSLE model, DEM, land classification, Liuhe District, Nanjing City

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