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尹怡诚, 刘云国, 刘少博, 郭一明, 胡新将, 李江. 中国工业水污染及其成因的deBruyn模型分析[J]. 环境工程学报, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
引用本文: 尹怡诚, 刘云国, 刘少博, 郭一明, 胡新将, 李江. 中国工业水污染及其成因的deBruyn模型分析[J]. 环境工程学报, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
shu
Yin Yicheng, Liu Yunguo, Liu Shaobo, Guo Yiming, Hu Xinjiang, Li Jiang. Character of industrial water pollution in China and its cause analysis based on de Bruyn model[J]. Chinese Journal of Environmental Engineering, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
Citation: Yin Yicheng, Liu Yunguo, Liu Shaobo, Guo Yiming, Hu Xinjiang, Li Jiang. Character of industrial water pollution in China and its cause analysis based on de Bruyn model[J]. Chinese Journal of Environmental Engineering, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
shu

中国工业水污染及其成因的deBruyn模型分析

  • 1.

    湖南大学环境科学与工程学院, 长沙 410082

  • 2.

    湖南大学环境生物与控制教育部重点实验室, 长沙 410082

  • 3.

    湖南大学建筑学院, 长沙 410082

  • 基金项目:

    国家自然科学基金资助项目(41271332)

  • 中图分类号: X323

Character of industrial water pollution in China and its cause analysis based on de Bruyn model

  • 1.

    College of Environmental Science and Engineering, Hunan University, Changsha 410082, China

  • 2.

    Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China

  • 3.

    Collage of Architecture, Hunan University, Changsha 410082, China

  • Fund Project:

  • 摘要: 选取废水、挥发酚、氰化物、COD、石油类和氨氮为中国工业水污染指标,利用分解分析方法将2004—2010年间的污染变化分解为规模效应、结构效应、污染治理效应、清洁技术效应和广义技术效应。结果显示,这5类效应的平均作用强度分别为2.08%、3.04%、15.61%、17.37%和32.88%,其中规模效应和广义技术效应是影响工业水污染的主导效应。各类效应对不同污染物的作用方向并不完全一致,规模效应促进污染物排放量的增加;结构效应以加重污染为主,污染治理效应和清洁技术效应以减轻污染为主;广义技术效应的平均作用强度和负向作用概率均最大,是现阶段中国工业水污染控制最为有效的手段。
    Abstract: Decomposition analysis was applied to decompose Chinese industrial water pollution change into scale effect,structural effect,abatement effect, clean technology effect and generalized technology effect. The wastewater discharge, volatile phenol, cyanide, COD and N-NH3 were selected as industrial wastewater pollution indicators. It turned out that the degrees of the five effects on industrial water pollution were 21.08%,3.04%,15.61%,17.37% and 32.88%, respectively. As can be seen, the industrial water pollution was affected most notably by the scale effect and generalized technology effect. The functional directions of effects varied with different indicators. The scale effect and structural effect were the principal causes of the aggravation of industrial water pollution in China. However, the abatement effect and clean technology effect played active roles in pollution control. Due to the highest pollution reduction efficiency, the generalized technology effect was believed to be the optimal measures against pollution.
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  • 收稿日期:  2014-03-01
  • 刊出日期:  2015-02-07
尹怡诚, 刘云国, 刘少博, 郭一明, 胡新将, 李江. 中国工业水污染及其成因的deBruyn模型分析[J]. 环境工程学报, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
引用本文: 尹怡诚, 刘云国, 刘少博, 郭一明, 胡新将, 李江. 中国工业水污染及其成因的deBruyn模型分析[J]. 环境工程学报, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
shu
Yin Yicheng, Liu Yunguo, Liu Shaobo, Guo Yiming, Hu Xinjiang, Li Jiang. Character of industrial water pollution in China and its cause analysis based on de Bruyn model[J]. Chinese Journal of Environmental Engineering, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
Citation: Yin Yicheng, Liu Yunguo, Liu Shaobo, Guo Yiming, Hu Xinjiang, Li Jiang. Character of industrial water pollution in China and its cause analysis based on de Bruyn model[J]. Chinese Journal of Environmental Engineering, 2015, 9(2): 639-644. doi: 10.12030/j.cjee.20150222
shu

中国工业水污染及其成因的deBruyn模型分析

  • 1.  湖南大学环境科学与工程学院, 长沙 410082
  • 2.  湖南大学环境生物与控制教育部重点实验室, 长沙 410082
  • 3.  湖南大学建筑学院, 长沙 410082
  • 收稿日期:  2014-03-01
基金项目:

国家自然科学基金资助项目(41271332)

摘要: 选取废水、挥发酚、氰化物、COD、石油类和氨氮为中国工业水污染指标,利用分解分析方法将2004—2010年间的污染变化分解为规模效应、结构效应、污染治理效应、清洁技术效应和广义技术效应。结果显示,这5类效应的平均作用强度分别为2.08%、3.04%、15.61%、17.37%和32.88%,其中规模效应和广义技术效应是影响工业水污染的主导效应。各类效应对不同污染物的作用方向并不完全一致,规模效应促进污染物排放量的增加;结构效应以加重污染为主,污染治理效应和清洁技术效应以减轻污染为主;广义技术效应的平均作用强度和负向作用概率均最大,是现阶段中国工业水污染控制最为有效的手段。

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