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郝昊, 王晓昌, 张琼华, 程喆. 宜兴城市内河污染物时空分布及解析[J]. 环境工程学报, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
引用本文: 郝昊, 王晓昌, 张琼华, 程喆. 宜兴城市内河污染物时空分布及解析[J]. 环境工程学报, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
shu
Hao Hao, Wang Xiaochang, Zhang Qionghua, Cheng Zhe. Spatiotemporal distribution and analysis for pollutants in inland rivers of Yixing,China[J]. Chinese Journal of Environmental Engineering, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
Citation: Hao Hao, Wang Xiaochang, Zhang Qionghua, Cheng Zhe. Spatiotemporal distribution and analysis for pollutants in inland rivers of Yixing,China[J]. Chinese Journal of Environmental Engineering, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
shu

宜兴城市内河污染物时空分布及解析

  • 1.

    西安建筑科技大学环境与市政工程学院, 西安 710055

  • 基金项目:

    国家"863"高技术研究发展计划项目(2011AA060903)

    国家"水体污染控制与治理"科技重大专项(2014ZX0731-5002)

  • 中图分类号: X52

Spatiotemporal distribution and analysis for pollutants in inland rivers of Yixing,China

  • 1.

    School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China

  • Fund Project:

  • 摘要: 选取宜兴主城区18个典型内河采样点,对NO3--N、NO2--N、pH、CODMn、NH4+-N、TN、TP、SS、BOD5、DO、挥发酚、汞、铅及石油类14个主要水质指标进行为期1年的监测,频率为每月1次。采用综合污染指数法、聚类分析及因子分析法,系统解析了宜兴主城区内河水体污染物的时空分布特性。研究结果表明,综合污染指数随季节变化特征较为明显,总体污染程度表现为第三季度 > 第二季度 > 第四季度 > 第一季度;聚类分析结果显示,河道的污染程度从空间上可分为2类(组);对城区内河监测点全年的因子分析提取3个特征因子,分析结果表明,内河河道以氮、磷污染为主导因素。
    Abstract: Eighteen typical sample points of inland rivers in Yixing were selected to monitor 14 major water quality indexes including NO3--N, NO2--N, pH, CODMn, NH4+-N, TN, TP, SS, BOD5, DO, volatile hydroxybenzene, Hg, Pb and oil pollutant monthly for a year.Comprehensive pollution index, cluster analysis and factor analysis were employed to character the spatiotemporal distribution of pollutants in these inland rivers.The results showed that the seasonal changes of comprehensive pollution index were significant.The total pollution level followed this trend:first quarter > fourth quarter > second quarter > third quarter.The results from cluster analysis showed they were classified into two groups according to pollution degrees of these rivers.Three charactertic factors were extracted according to the method of factor analysis.The results revealed that nitrogen and phosphorus were the two main pollutants in inland rivers.
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  • 收稿日期:  2014-08-25
  • 刊出日期:  2014-12-30
郝昊, 王晓昌, 张琼华, 程喆. 宜兴城市内河污染物时空分布及解析[J]. 环境工程学报, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
引用本文: 郝昊, 王晓昌, 张琼华, 程喆. 宜兴城市内河污染物时空分布及解析[J]. 环境工程学报, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
shu
Hao Hao, Wang Xiaochang, Zhang Qionghua, Cheng Zhe. Spatiotemporal distribution and analysis for pollutants in inland rivers of Yixing,China[J]. Chinese Journal of Environmental Engineering, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
Citation: Hao Hao, Wang Xiaochang, Zhang Qionghua, Cheng Zhe. Spatiotemporal distribution and analysis for pollutants in inland rivers of Yixing,China[J]. Chinese Journal of Environmental Engineering, 2015, 9(1): 125-130. doi: 10.12030/j.cjee.20150121
shu

宜兴城市内河污染物时空分布及解析

  • 1. 西安建筑科技大学环境与市政工程学院, 西安 710055
  • 收稿日期:  2014-08-25
基金项目:

国家"863"高技术研究发展计划项目(2011AA060903)

国家"水体污染控制与治理"科技重大专项(2014ZX0731-5002)

摘要: 选取宜兴主城区18个典型内河采样点,对NO3--N、NO2--N、pH、CODMn、NH4+-N、TN、TP、SS、BOD5、DO、挥发酚、汞、铅及石油类14个主要水质指标进行为期1年的监测,频率为每月1次。采用综合污染指数法、聚类分析及因子分析法,系统解析了宜兴主城区内河水体污染物的时空分布特性。研究结果表明,综合污染指数随季节变化特征较为明显,总体污染程度表现为第三季度 > 第二季度 > 第四季度 > 第一季度;聚类分析结果显示,河道的污染程度从空间上可分为2类(组);对城区内河监测点全年的因子分析提取3个特征因子,分析结果表明,内河河道以氮、磷污染为主导因素。

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