气候变化领域集成服务门户(CCPortal): Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales

CCPortal

DOI	10.1016/j.apr.2019.08.008
	Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales
	Xiao C.; Chang M.; Guo P.; Yuan M.; Xu C.; Song X.; Xiong X.; Li Y.; Li Z.
发表日期	2020
ISSN	13091042
卷号	11 期号:1
英文摘要	Cities of Beijing–Tianjin–Hebei (BTH) and its surrounding areas are a focus of air pollution control in China. This study analyzed the emission characteristics of industrial pollution sources within these cities from the perspective of big data, using 37,123,000 continuous monitoring data for enterprises in 31 cities. Three indicators were proposed to compare the spatial emission characteristics: industrial pollutant emission intensity (IPEI), industrial pollution concentration emission intensity (IPCEI) and the density of waste gas monitoring enterprise (DWGME). The IPEI and IPCEI of Yangquan, Taiyuan, Changzhi, Xingtai, Handan, and Hebi were considerably higher than the average level of the air pollution transmission channel cities (APTCC). The industrial SO2 concentration emission intensity in Yangquan, Hebi, Laiwu were 1826.9, 462.8, 301.4 mg m−3 per trillion yuan, more than twice the regional average for the 31 cities. We found there was a significant positive correlation between different industrial pollutants in the BTH and surrounding areas. Industrial SO2 emission have a positive correlation with industrial NOx emission in most of BTH cities, the correlation in Xingtai, Hengshui, Taiyuan were respectively 0.855, 0.969,0.696. Data mining and statistics on different time scales could be used to analyze the characteristics of industrial atmospheric emission sources, and could be applied in environmental decision support systems to make air pollution management more objective, reliable, and powerful. © 2019
英文关键词	Air pollution transmission channel cities; Characteristic analysis; Data mining; Emission intensity; Industrial emission
语种	英语
来源期刊	Atmospheric Pollution Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120670
作者单位	School of Humanities and Social Sciences, University of Science and Technology Beijing, Beijing, 100083, China; School of Environment, Tsinghua University, Beijing, 100084, China
推荐引用方式 GB/T 7714	Xiao C.,Chang M.,Guo P.,等. Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales[J],2020,11(1).
APA	Xiao C..,Chang M..,Guo P..,Yuan M..,Xu C..,...&Li Z..(2020).Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales.Atmospheric Pollution Research,11(1).
MLA	Xiao C.,et al."Characteristics analysis of industrial atmospheric emission sources in Beijing–Tianjin–Hebei and Surrounding Areas using data mining and statistics on different time scales".Atmospheric Pollution Research 11.1(2020).