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Coupling remote sensing data and ecohydrological model to evaluate Non-point source pollution risk for water resource management

机译:耦合遥感数据与生态水文模型评价水资源非点源污染风险

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摘要

Non-point source pollution risk assessment for surface drinking water catchments is an important basis and premise for the scientific management over water environment, while remote sensing technology may timely find the spatial distribution pattern and variation of risk. Coupling the Non-point source model and remote sensing data is a potential method for the water environment risk assessment. The dual Non-point source model independently developed by China is chosen to study its practical applicability in the experimental catchment area of Hebei Yuecheng Reservoir in combination with the remote sensing and GIS data, and to study the spatial distribution pattern of the Non-point source Phosphorus (P) pollution generated by the spatial landuse. The result shows that:(1) the coupled model is well adapted to the catchment area of Hebei Yuecheng Reservoir, and the simulated Non-point source P load is strongly related to the observation data of the hydrologic stations such as Liujiazhuang, Guantai and etc.; (2) The disorderly development of social economy is the main cause of Non-point source pollution, and the farmlands, urban and rural residential areas in the catchment area are the major risk sources of Non-point source pollution; (3) the two assessment units, catchment unit and administration unit, are employed in this study. They are complementary to each other, which is convenient for management because they can reflect not only the P risk distribution but also the specific location of the administration areas within the risk area.
机译:地表饮用水集水区面源污染风险评估是水环境科学管理的重要基础和前提,而遥感技术可以及时发现空间分布格局和风险变化。非点源模型与遥感数据的耦合是水环境风险评估的一种潜在方法。选择中国自主开发的双重面源模型,结合遥感和GIS数据,研究其在河北岳城水库实验流域的实际适用性,研究面源的空间分布格局。空间土地利用产生的磷(P)污染。结果表明:(1)耦合模型很好地适应了河北岳城水库集水区,模拟的非点源P负荷与刘家庄,关台等水文站的观测资料密切相关。 。; (2)社会经济的无序发展是面源污染的主要原因,集水区农田,城乡居民区是面源污染的主要风险源; (3)本研究采用两个评估单位,即汇水单位和行政单位。它们彼此互补,因此便于管理,因为它们不仅可以反映P风险分布,还可以反映风险区域内管理区域的特定位置。

著录项

  • 来源
    《Military operations research》 |2014年第2期|157-162|共6页
  • 作者单位

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

    Hebei University of Engineering, Handan, Hebei, 056038, China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI) , Chinese Academy of Sciences, Beijing 100101, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Risk Assessment; Non-point Source P Pollution; Remote Sensing Technology; Drinking water Catchments;

    机译:风险评估;面源P污染;遥感技术;饮用水集水区;

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