北京大学学报(自然科学版)

辽河COD变化规律及其原因探讨

常原飞1, 贾振邦1, 赵智杰1, 方志刚2, 贾玉霞2   

  1. 1北京大学城市与环境学系,北京,100871; 2辽宁省环境监测中心站,沈阳,110031
  • 收稿日期:2001-06-19 出版日期:2002-07-20 发布日期:2002-07-20

The Oscillation Trend and Mechanism of the COD Level of the Liaohe River

CHANG Yuanfei1, JIA Zhenbang1, ZHAO Zhijie1, FANG Zhigang2, JIA Yuxia2   

  1. 1Department of Urban and Environmental Science, Peking University, Beijing, 100871; 2Liaoning Provincial Environmental Monitoring Center, Shenyang, 110031
  • Received:2001-06-19 Online:2002-07-20 Published:2002-07-20

摘要: 对辽河干流从福德店到赵圈河8个断面的水质监测数据进行统计分析,计算得出辽河干流水体污染的内梅罗指数,并以图表形式揭示了辽河干流COD时空变化的规律,总结出了辽河COD污染的两个主要特点:(1) COD绝对值高;(2) COD/BOD相对比值也明显偏高。通过对COD与SS、COD与水质参数的相关性分析,从工业点源、水土流失面源、城市生活污水及农业用水等方面的污染解释了上述特点。

关键词: 辽河, 污染, COD, 内梅罗指数, 相关性

Abstract: The monitoring hydro-data of 8 sections from Fudedian to Zhaoquanhe along the main stream of Liaohe River are collected and analyzed. The Nemero indexes for the water pollution of Liaohe river are calculated and illustrated in diagrams. The results show that the principals of the spatial-temporal COD level changes in the main stream of Liaohe River. Also, two obvious characteristics of COD pollution are found out: (1) the absolute COD level is very high in this river; (2) the ratio of COD/BOD is significantly higher than average. And the phenomena are explained in detail in this paper from multiple aspects such as industrial point pollution, soil and water losses, municipal sewage,agricultural water pollution and etc, based on the relationship analysis between COD, SS and water quality parameters.

Key words: Liaohe River, pollution, COD, Nemero indexes, correlation

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