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流域非点源污染物输出的环境因子分析
引用本文:唐艳凌,章光新.流域非点源污染物输出的环境因子分析[J].农业环境保护,2010(4):725-732.
作者姓名:唐艳凌  章光新
作者单位:中国科学院湿地生态与环境重点实验室,中国科学院东北地理与农业生态研究所,长春130012
基金项目:吉林省与中国科学院高技术产业化专项资金合作项目(2006SYHZ0025);中国科学院知识创新工程重要方向项目(KZCX2-YW-Q06-2KZCX2-YW-126)
摘    要:通过流域断面水质监测和GIS的流域空间分析等手段建立石头口门水库流域基础数据库,运用多元统计分析和偏冗余度分析对枯水期和丰水期影响流域非点源污染物输出空间分异的自然环境、人为干扰、尺度因素及其交互作用等环境因子进行了定量分解,运用冗余分析方法探讨了两个时期不同环境因子对流域非点源污染物输出种类及其形态的影响。结果表明,所选环境因子在枯水期和丰水期分别解释了流域非点源污染水质空间变异的64.5%和68.2%;两个时期纯自然环境对非点源污染的影响均最为显著,分别解释了水质空间变异的43.7%和59.5%,其次是纯人为干扰,均超过了20%。自然环境-人为干扰的组合在枯水期较为强烈地影响非点源污染的产出,占到水质空间变异的20%以上,而在丰水期这一作用不明显。枯水期,以居民用地为主的人为干扰控制着流域内以氨氮和颗粒有机氮为主的氮的输出以及有机物质的输出,而以流域面积为主的尺度因素则主要影响可溶性磷和有机物质的输出。对于丰水期而言,非点源污染物输出的种类和形态受到不同类型环境因子组合的控制。

关 键 词:非点源污染  流域尺度  环境因子格局  冗余分析  石头口门水库

Analysis of Environmental Factors Influencing Non-point Source Pollutants
TANG Yan-ling,ZHANG Guang-xin.Analysis of Environmental Factors Influencing Non-point Source Pollutants[J].Agro-Environmental Protection,2010(4):725-732.
Authors:TANG Yan-ling  ZHANG Guang-xin
Institution:( Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China)
Abstract:Based on the observed data in monitored drainage areas and GIS spatial analysis tools, watershed basic database of Shitoukoumen Reservoir Basin was built. Multivariate analysis and partial redundancy analysis(pRDA )were employed to analyze the contribution of the different influencing factors, including natural environment factors, anthropogenic disturbance factors and watershed scale factors, and their interaction between them to water quality during dry season and rainy season. In addition, pRDA was also used to investigate the effect of the different influencing factors on the main types and forms of the non-point source(NPS) pollutant export. The results showed that different in- fluencing factors led to great changes in water quality at spatial and seasonal scales. All selected influencing factors explained 64.5% and 68.2% of the spatial variation of water quality over dry season and rainy season, respectively, which shows clear seasonal difference. Natural environment factors played the key role on the spatial variation of water quality associated with the NPS pollution, which explained 43.7% and 59.5% of the spatial variation of water quality during dry and rainy season, respectively. And anthropogenic disturbance factors were the second important factors, which possess above 20% of the spatial variation during both dry and rainy season. The interaction between natural environment factors and anthropogenic disturbance factors resulted in more NPS pollutant export during dry season than that during rainy season, which the former possesses above 20% of the spatial variation of water quality and the latter does less 5%. During dry season, residential land used of anthropogenic disturbance factors dominates some NPS export, including the ammonia nitrogen, particle organic nitrogen and organic matter, and meanwhile discharge area of scale factors controlled dissolved phosphor and organic matter export. During rainy season, interaction of different influencing factors controlled the types and forms of NPS pollutant export.
Keywords:non-point source pollution  watershed scale  environmental factor pattern  redundancy analysis  Shitoukoumen Reservoir
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