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[1]ZHANG Yani,LI Zeli,DENG Xiaowen,et al.Simulation and Source Apportionment of Nonpoint Source Dissolved Nitrogen Load in Shahe Watershed[J].Research of Soil and Water Conservation,2017,24(05):352-356.

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Simulation and Source Apportionment of Nonpoint Source Dissolved Nitrogen Load in Shahe Watershed

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 05 Page number: 352-356 Column: Public date: 2017-10-28

Title:: Simulation and Source Apportionment of Nonpoint Source Dissolved Nitrogen Load in Shahe Watershed

Author(s):: ZHANG Yani¹, LI Zeli², DENG Xiaowen², ZHAO Xinghua², MEI Pengyu², ZHANG Huan¹; 1. School of Environmental and Chemical Engineering, Tianjin Polytechnic University, Tianjin 300387, China;
2. Tianjin Environmental Monitoring Centre, Tianjin 300191, China

Keywords:: Shahe Watershed; GWLF; nonpoint source; dissolved nitrogen; source apportionment of pollution

CLC:: X522

DOI:: -

Abstract:: Generalized Watershed Loading Functions (GWLF) was employed to estimate dissolved nitrogen (DN) load and perform source apportionment in Shahe Watershed from 2006 to 2012. The seasonal variation of pollution source was also analyzed based on model results. Satisfactory performance of GWLF was revealed by the E_NS and R² of greater than 0.6 in calibrating and validating streamflow and DN. The result indicated that the nonpoint source pollution had the highest ratio of the annual average DN load， accounting for 81.6%. Among all the land uses, farmlands contributed most to DN load in Shahe watershed, indicating that agricultural activities dominated by human were the major contributor of nonpoint source pollution. Besides, seasonal differences of the contribution ratio from DN pollution source were significant. Runoff was the major pollution source in the wet season; however, septic system and point source were more significant in the dry season. In order to efficiently reduce and control nitrogen pollution in Shahe Watershed, it is necessary to consider the difference of pollution source constitution between wet season and dry season with respect to the formulation of pollution reduction plan and control measure preference.

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