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• 研究报告 • 上一篇    下一篇

基于SWAT模型的白马河流域土地利用变化的径流响应

王学1,2,5,张祖陆2,3**,宁吉才4   

  1. (1中国科学院地理科学与资源研究所, 北京 100101; 2山东师范大学人口·资源与环境学院, 济南 250014; 3山东省水土保持与环境保育重点实验室, 临沂师范学院, 山东临沂 276005;  4中国科学院烟台海岸带研究所, 山东烟台 264003; 5中国科学院大学, 北京 100049)
  • 出版日期:2013-01-10 发布日期:2013-01-10

Runoff response to land use change in Baimahe basin of China based on SWAT model.

WANG Xue1,2,5, ZHANG Zu-lu2,3**, NING Ji-cai4   

  1. (1Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2 School of Population, Resources and Environment, Shandong Normal University, Jinan 250014, China; 3 Shandong Key Laboratory of Soil and Water Conservation and Environmental Protection/Linyi University; Linyi 276005, Shandang China; 4 Yantai Institute of Coastal zone Reseavchi Chinese Academy of Sciences, Yantai  264003, Shandong China; 5Lniversity of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2013-01-10 Published:2013-01-10

摘要: 以3S技术为依托,在对白马河流域土地利用变化进行分析和预测的基础上,建立了流域SWAT模型,分析了不同土地利用情景下流域径流的响应,并计算了流域主要土地利用类型对径流深的贡献系数。结果表明:1987—2017年,耕地、居民点及建设用地、有林地、灌木林地和疏林地为流域主要的土地利用类型,共占流域总面积的96%以上,草地、水域和未利用地所占比例则较小;在4种主要土地利用类型中,有林地、灌木林地和疏林地、居民点及建设用地对径流深的贡献系数分别为2.61、0.38和0.34 mm·km-2,说明三者有促进产流的作用,而耕地的贡献系数为-0.11 mm·km-2,说明耕地对径流的产生起到一定抑制作用。

Abstract: By using 3S technology, and based on the analysis and prediction of the land use change in Baimahe basin, a SWAT model was established to study the runoff response of the basin under the scenarios of different land use. In the meantime, the contribution coefficients of the main land use types in the basin to the runoff depth were calculated. From 1987 to 2017, the main land use types in the basin were farmland, construction land, forestland, and shrub land, occupying 96% or more of the total land area, while the grassland, waters, and unused land only had a smaller proportion. The four main land use types had different effects on the runoff depth. The contribution coefficient of forestland, shrub land and construction land to the runoff depth was 2.61, 0.38, and 0.34 mm·km-2, respectively, implying that these three land use types had positive effects on the runoff depth in this basin. On the contrary, the contribution coefficient of farmland was -0.11 mm·km-2, implying that farmland had negative effect on the runoff depth.