文章基本信息

标题：Development of Emissions Inventory and Pollution Classification for EnergyIntensive Heavy Metal Industries in A Densely Distributed Area
本地全文：下载
作者：Jia Jia ; Jingjing Yang ; Yawen Song 等
期刊名称：Nature, Environment and Pollution Technology
印刷版ISSN：0972-6268
出版年度：2021
卷号：20
期号：1
页码：317-328
DOI：10.46488/NEPT.2021.v20i01.036
语种：English
出版社：Technoscience Publications
摘要：The iron and steel industry puts considerable pressure on the regional environment of the BeijingTianjin-Hebei (BTH) area, and the PM2.5 pollution has caused serious harm to public health. To explore a detailed and high-resolution emission inventory of the iron and steel industry in the BTH region, a classification technology method with CAMx modelling system was developed and applied for classifying all the iron and steel enterprises in the BTH region. Besides, simulation scenarios were designed particularly for quantitatively assessing the effectiveness of the environmental protection measures. Results show that the pollutant emission of the iron and steel industry significantly contributes to the PM2.5, SO42-, NO3-, and SOA concentrations in the atmospheric environment in sub-areas. Therefore, the enterprises in western and central sub-areas show high classification coefficients. Restricting pollutant emissions using the developed classification technology method is more effective in reducing the PM2.5 concentration of the BTH region compared with the proportional reduction method. Thus, the classification method should be primarily implemented for reducing the air pollutant emissions of the iron and steel industry in the BTH region.
关键词：Iron and steel industry;Air pollutants;Negative health impact;CAMx;Classification technology