Study on the emission reduction effect of emergency management and control measures in Tangshan city, Hebei province, China

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Ruting Zhang, Chuanmin Chen, Songtao Liu, Peng Li, Huacheng Wu, Weiqing Zhou
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引用次数: 0

Abstract

Tangshan Air Heavy Pollution Emergency Command issued four orange alerts for air heavy pollution at 08:00 on January 4, 2018, 12:00 on January 26, 2018, 12:00 on December 10, 2018 and 12:00 on January 8, 2019, respectively. To evaluate the effectiveness of the four orange alert emergency measures in mitigating severe air pollution, this study employed the WRF-CMAQ air quality model to conduct numerical simulations. These simulations were based on the differences in industrial pollutant emissions under emergency measures. The analysis focused on air pollutant concentrations, including PM2.5 and other pollutants, along with meteorological conditions, weather patterns, and air mass transport during the orange alert periods. Additionally, the study examined how emission reduction measures in Tangshan’s industrial affected PM2.5 and other pollutant concentrations, and it assessed the effectiveness of the orange alert emission reductions. The results showed that the average PM2.5 concentration was 0.74–5.01 times higher than that after the alert. During the four orange alerts, the influence of weather conditions and regional transport on pollution was different. The orange emergency management reduced the concentrations of PM2.5, PM10, SO2, NO2 and CO by 0.7 − 2.9%, 0.5 − 2.1%, 1.4 − 6.9%, 2.1 − 5.2%, and 5.6 − 10.1%, respectively. The orange alert suppresses the deterioration of severe air pollution, achieves the effect of pollutant peak reduction and deceleration, and slows down the accumulation rate of PM2.5.

Abstract Image

Abstract Image

河北省唐山市应急管控措施减排效果研究
唐山市大气重污染应急指挥部分别于2018年1月4日08:00、2018年1月26日12:00、2018年12月10日12:00、2019年1月8日12:00发布4次大气重污染橙色预警。为评价4项橙色预警应急措施对缓解重度大气污染的效果,本研究采用WRF-CMAQ空气质量模型进行数值模拟。这些模拟是基于应急措施下工业污染物排放的差异。分析的重点是空气污染物浓度,包括PM2.5和其他污染物,以及橙色预警期间的气象条件、天气模式和气团运输。此外,该研究还考察了唐山工业减排措施对PM2.5和其他污染物浓度的影响,并评估了橙色预警减排的有效性。结果显示,PM2.5的平均浓度是预警后的0.74-5.01倍。在四次橙色预警期间,天气条件和区域交通对污染的影响是不同的。橙色应急管理使PM2.5、PM10、SO2、NO2和CO的浓度分别降低0.7−2.9%、0.5−2.1%、1.4−6.9%、2.1−5.2%和5.6−10.1%。橙色预警抑制了严重空气污染的恶化,达到了污染物降峰减速的效果,减缓了PM2.5的积累速度。
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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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