化工行业污染源在线监控预警指标体系研究

曹伟; 秦延文; 张雷; 赵艳民; 马迎群; 杨晨晨

doi:10.3969/j.issn.1674-991X.2018.06.084

化工行业污染源在线监控预警指标体系研究

doi: 10.3969/j.issn.1674-991X.2018.06.084

中国环境科学研究院流域水环境综合管理研究室,北京 100012

详细信息

作者简介:
作者简介:曹伟(1984—),女,硕士,主要从事污染物环境化学研究,caowei@craes.org.cn

通讯作者:
张雷 E-mail: zhang_lei@craes.org.cn

中图分类号: X830.7;
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- 被引次数: 0
出版历程
- 收稿日期: 2018-06-29
- 刊出日期: 2018-11-20

Study on online monitoring and early warning indicator system of pollution sources in chemical industry

Water Environment Research Center, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

More Information

Corresponding author: 张雷 E-mail: zhang_lei@craes.org.cn

摘要

摘要: 采用层次分析法对事故预警指标集进行优化,通过计算、对比各指标的权重,选择权重较大的指标构成水污染事故预警指标体系。在此基础上,结合工业企业生产和污染物排放一般情况,初步构建污染源在线监控预警指标体系框架。以某化工企业延迟焦化工艺为例,分析其生产过程中可能产生的环境污染,利用层次分析法计算各指标权重,筛选并构建预警指标体系,最终确定延迟焦化装置需要进行在线监控的水质指标有COD_Cr、石油类烃、氨氮、硫化物及酚。
- 在线监控 /
- 预警指标 /
- 层次分析法 /
- 指标权重
Abstract: The accident warning indicators were optimized by the analytic hierarchy process. By calculating and comparing the weights of each indicator, the heavier indicator was selected to form the water pollution accident warning indicator system. On the basis of this, the framework of the pollution sources online monitoring and early warning indicator system was initially constructed in the light of the general production and pollutant discharge situations of the industrial enterprises. Taking the delayed coking process of one enterprise as an example, the above method was applied to analyze the environmental pollution that may occur in the production process, calculate the weights of each indicator using the analytic hierarchy process, and determine the construction process of the early warning indicator system. The indicators that need to be monitored online were finally determined for the delayed coking devices, including COD_Cr, petroleum hydrocarbon, ammonia nitrogen, sulfides and phenols.
- on-line monitoring /
- warning indicators /
- analytic hierarchy process /
- indicator weight

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参考文献(32)

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