6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Source apportionment of nitrogen and phosphorus from non-point source pollution in Nansi Lake Basin, China.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Nitrogen (N) and phosphorus (P) from non-point source (NPS) pollution in Nansi Lake Basin greatly influenced the water quality of Nansi Lake, which is the determinant factor for the success of East Route of South-North Water Transfer Project in China. This research improved Johnes export coefficient model (ECM) by developing a method to determine the export coefficients of different land use types based on the hydrological and water quality data. Taking NPS total nitrogen (TN) and total phosphorus (TP) as the study objects, this study estimated the contributions of different pollution sources and analyzed their spatial distributions based on the improved ECM. The results underlined that the method for obtaining output coefficients of land use types using hydrology and water quality data is feasible and accurate, and is suitable for the study of NPS pollution at large-scale basins. The average output structure of NPS TN from land use, rural breeding and rural life is 33.6, 25.9, and 40.5%, and the NPS TP is 31.6, 43.7, and 24.7%, respectively. Especially, dry land was the main land use source for both NPS TN and TP pollution, with the contributed proportions of 81.3 and 81.8% respectively. The counties of Zaozhuang, Tengzhou, Caoxian, Yuncheng, and Shanxian had higher contribution rates and the counties of Dingtao, Juancheng, and Caoxian had the higher load intensities for both NPS TN and TP pollution. The results of this study allowed for an improvement in the understanding of the pollution source contribution and enabled researchers and planners to focus on the most important sources and regions of NPS pollution.

          Related collections

          Author and article information

          Journal
          Environ Sci Pollut Res Int
          Environmental science and pollution research international
          Springer Science and Business Media LLC
          1614-7499
          0944-1344
          Jul 2018
          : 25
          : 19
          Affiliations
          [1 ] School of Geography and Environment, Shandong Normal University, No. 88 Cultural East Road, Jinan District, 250014, Shandong, People's Republic of China.
          [2 ] Institute of Regional Economic Research, Shandong University of Finance and Economics, Jinan, 250014, Shandong, People's Republic of China. zhangshumin999@163.com.
          [3 ] School of Geography and Environment, Shandong Normal University, No. 88 Cultural East Road, Jinan District, 250014, Shandong, People's Republic of China. alex_yaolei@126.com.
          Article
          10.1007/s11356-018-1956-8
          10.1007/s11356-018-1956-8
          29725920
          c6229d01-f4d9-48c0-b23d-a8ffe331d937
          History

          Improved export coefficient model,Nansi Lake Basin,Non-point source pollution,Source apportionment,Total nitrogen and phosphorus

          Comments

          Comment on this article