Author_Institution :
Res. Acad. of Energy & Environ. Studies, North China Electr. Power Univ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
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Comparing with point source pollution, the non-point source (NPS) one, particularly from agricultural activities, has been dominant in many countries presently, causing nutrient loss, aqueous systems damaging, and eutrophication. One of the key elements responsible for it is nitrogen (N). The Yongding River is an important watershed in North China, which relates to Beijing City (capital of China), Tianjing City and Hebei, Inner Mongolia, Shanxi province. This study, reveals agricultural NPS pollution of Yongding River in Hebei province. The resource, loading and distribution of agricultural NPS pollution are simulated and analyzed in the paper based on remoting sense and geographic information system by export coefficient model (ECM). The result indicates that the total NPS-N loading of the research area was 5.68 × 104 t in 2008. The loading of agricultural landuse was 4.38 × 104 t, and that of rural life and livestock feeding was 0.90 × 104 t and 0.40 × 104 t respectively. As far as the spacial distribution of the loading is concerned, farm lands (sloping areas especially), villages and hoggeries were areas with heavy pollution. In the conclusion, it is suggested that the methods of agricultural landuse and N fertilizer utilization should be improved as well as the treatment efficiency of waster water and solid waste should be increased.
Keywords :
agricultural pollution; geographic information systems; rivers; wastewater; Beijing City; Hebei; Inner Mongolia; North China; Shanxi province; Tianjing City; Yongding River; agricultural nonpoint source pollution; aqueous systems damaging; eutrophication; export coefficient model; geographic information system; nutrient loss; remote sensing; spatial distribution; wastewater; Agriculture; Biological system modeling; Electronic countermeasures; Load modeling; Loading; Pollution; Rivers;