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作 者:谢毅文[1] 高卫平 宁玉蓉 魏忠元[3] 谢广良 何凤霞[1]
机构地区:[1]东莞理工学院化学与环境工程学院,广东东莞523808 [2]珠江流域水资源保护局,广东广州510611 [3]四川省水利水电勘测设计院,四川成都610072 [4]东莞市水务局,广东东莞523888
出 处:《生态环境学报》2012年第4期711-714,共4页Ecology and Environmental Sciences
基 金:广东高校优秀青年创新人才培养项目(LYM10123);广东省科技厅项目(2010B050300010);广东省水利科技创新项目(2009-39);中山大学重大项目培育和新兴交叉学科项目(10lgzd11);国家自然科学基金(50909106);东莞理工学院大学生创新实验项目(2011002)
摘 要:以东莞市第一次全国污染源普查成果为数据基础,调查估算2010年东莞市33个镇街和25个水功能区的COD、氨氮入河量,并应用GIS技术及相关分析法分析污染物入河量空间分布特征及其影响因素。研究发现:①东莞市各镇街及水功能区的污染物入河量呈明显不均匀分布,人口、GDP是影响污染物入河量空间分布的主要因素。②河网区、非河网区镇街的工业污染物入河量与GDP均呈较好的正相关关系,但非河网区单位污染物入河量GDP产出拟合曲线斜率是河网区的31倍,显示河网区镇街每增长单位污染物入河量所产生的GDP远远小于非河网区,河网区镇街往往付出巨大的污染代价而经济增长却非常有限。The COD and ammonia nitrogen into the rivers in Dongguan city including twenty-five water functional zones and thirty-three towns are investigated based on data of the first national pollution source census results in 2010,and the Spatial Distribution Characteristic of export load of water pollutants and its influencing factors are also studied using GIS technology and the corresponding analysis method.The study found that : ① The distribution export load of water pollutants are significantly uneven in the towns and the water functional areas in Dongguan,which is correction with the population and the GDP;② The export load of industrial water pollutants is positively correlation with the GDP of towns in rive network area or in non-river network area,however,the slope of the fitting curve of the non-river network area is 31 times as high as that of the river network area,indicating that the GDP generated by each unit of export load of industrial water pollutants in rive network area is less than that of non-river network area,showing that the towns in river network area often pay a huge environmental cost but its economic growth is very limited.
分 类 号:X83[环境科学与工程—环境工程] X87
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