湖北农业科学 ›› 2022, Vol. 61 ›› Issue (4): 66-69.doi: 10.14088/j.cnki.issn0439-8114.2022.04.011

• 资源·环境 • 上一篇    下一篇

基于RUSLE的生产建设项目土壤侵蚀监测研究

侯礼婷1,2   

  1. 1.河南省小流域生态水利工程技术研究中心,河南 开封 475000;
    2.黄河水利职业技术学院,河南 开封 475000
  • 收稿日期:2020-11-06 出版日期:2022-02-25 发布日期:2022-03-18
  • 作者简介:侯礼婷(1990-),女,山西吕梁人,讲师,硕士,主要从事土壤侵蚀、生产建设项目水土保持研究,(电话)15226009176(电子信箱)708910432@qq.com。
  • 基金资助:
    河南省水利厅2021年水利科技攻关项目

Research on soil erosion monitoring of production and construction projects based on RUSLE

HOU Li-ting1,2   

  1. 1. Technical Research Center of Small Watershed Ecological Water Conservancy Engineering,Kaifeng 475000,Henan,China;
    2. Yellow River Conservancy Technical Institute,Kaifeng 475000,Henan,China
  • Received:2020-11-06 Online:2022-02-25 Published:2022-03-18

摘要: 通过调查研究区域内的降雨数据和土地数据,以建设项目区为研究对象,构建了该区域的RUSLE模型,分别分析模型中的土壤侵蚀因子影响因素,归纳出该区域在施工过程前后全流程的土壤侵蚀特征,并进行了定量性的评价。结果表明,在快速路建设项目中,依据历史数据建立的RUSLE模型显示,在侵蚀强度方面,施工过程中以微度侵蚀和轻度侵蚀为主;在侵蚀面积上,轻度侵蚀所占比例相比施工前大幅增加,项目建设造成土地利用类型的变化直接影响着植被覆盖因子和水土保持措施因子,模型的预测值与实测值大致相同,但对于施工过程中的实测数据比预测数据高一个等级。

关键词: RUSLE模型, 道路工程, 土壤侵蚀, 时空格局, 土壤保持

Abstract: Through the investigation of rainfall data and land data in the region, taking the construction project area as the research object, the RUSLE model of the area is explored, the influencing factors of soil erosion factors are analyzed in the model, the soil erosion characteristics of the whole process are sumed up before and after the construction process, and quantitative evaluation are carried out. The results show that in the expressway construction project, the RUSLE model based on the historical data shows that the erosion intensity is dominated by slight erosion and light erosion in the construction process. On the erosion area, mild erosion compared proportion increased dramatically, prior to the construction project construction cause the change of land use types directly affects the vegetation cover factor and factor of soil and water conservation measures. The predicted value of the model is roughly the same as the measured value, but for the measured data in the construction process, it is one grade higher than the predicted data.

Key words: RUSLE model, road engineering, soil erosion, temporal and spatial pattern, soil conservation

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