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中国东北地区吉林市 PM 排放清单与源解析分析。

Analysis of the PM emission inventory and source apportionment in Jilin City, Northeast of China.

机构信息

Environmental Science Department, Jilin University, Changchun, 130012, China.

Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.

出版信息

Environ Sci Pollut Res Int. 2020 Oct;27(30):37324-37332. doi: 10.1007/s11356-020-07605-x. Epub 2020 Feb 3.

Abstract

This study collected and compiled statistical data on atmospheric pollution in Jilin City, China during 2013-2014, using models and methods to calculate the source proportion of PM emitted by various sources. The statistical activity levels and emission factors of various pollution sources were found to be key parameters for obtaining the total amount of PM in the exhaust gas emitted from all types of pollution sources using an emissions model. In this study, relevant data were collected by the top-down method, and pollutant emission was calculated by the emission factor method to establish the PM pollution emission inventory of Jilin City. The source apportionment was calculated using the Chemical Mass Balance (CMB) model. Industrial process source and fixed combustion source are the largest sources of PM emission from all sources, respectively. Among the two calculation results, the results of pollution emission inventory are more accurate. The PM emission inventory in Jilin was established and countermeasures were proposed focused on the coordinated control of air pollution and the prevention and control of industrial dust pollution sources, as well as environmental management and impact assessment.

摘要

本研究收集并整理了 2013-2014 年中国吉林市大气污染的统计数据,采用模型和方法计算了 PM 排放的各种来源的比例。统计各种污染源的活动水平和排放因子是利用排放模型获得各类污染源排放废气中 PM 总量的关键参数。本研究采用自上而下的方法收集相关数据,利用排放因子法计算污染物排放,建立吉林市 PM 污染排放清单。采用化学质量平衡(CMB)模型进行源分配计算。工业过程源和固定燃烧源分别是所有来源中 PM 排放的最大来源。在这两个计算结果中,污染排放清单的结果更加准确。建立了吉林市的 PM 排放清单,并提出了针对空气污染协同控制和工业粉尘污染源防治、环境管理和影响评估的对策。

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