| Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study | |
Liu, Xiaoyong; Pan, Xiaole; Li, Jie; Chen, Xi; Liu, Hang ; Tian, Yu; Zhang, Yuting; Lei, Shandong; Yao, Weijie; Liao, Qi; Sun, Yele; Wang, Zifa; He, Hong
| |
| 2022-05 | |
| Source Publication | JOURNAL OF ENVIRONMENTAL SCIENCES
 |
| ISSN | 1001-0742 |
| Volume | 115Issue:0Pages:465-473 |
| Abstract | Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain. In this study, an industrial district (Shahe City) with a large glass manufacturing sector was investigated to clarify the relative contribution of fine particulate matter (PM2.5) to the city's high levels of pollution. The Nest Air Quality Prediction Model System (NAQPMS), paired with Weather Research and Forecasting (WRF), was adopted and applied with a spatial resolution of 5 km. During the study period, the mean mass concentrations of PM2.5, SO2, and NO2 were observed to be 132.0, 76.1, and 55.5 mu g/m(3), respectively. The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level. The simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4% of the city's total PM2.5 concentration. This contribution increased to 73.9 +/- 21.2% when unfavorable meteorological conditions (high relative humidity, weak wind, and low planetary boundary layer height) were present; such conditions are more frequently associated with severe pollution (PM2.5 > 250 mu g/m(3)). The contribution from Shahe was 52.3 +/- 21.6%. The source apportionment results showed that industry (47%), transportation (10%), power (17%), and residential (26%) sectors were the most important sources of PM2.5 in Shahe. The glass factories (where chimney stack heights were normally < 70 m) in Shahe contributed 32.1% of the total PM2.5 concentration in Shahe. With an increase in PM2.5 concentration, the emissions from glass factories accumulated vertically and narrowed horizontally. At times when pollution levels were severe, the horizontally influenced area mainly covered Shahe. Furthermore, sensitivity tests indicated that reducing emissions by 20%, 40%, and 60% could lead to a decrease in the mass concentration of PM(2.)(5 )of of 12.0%, 23.8%, and 35.5%, respectively. (C) 2021 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. |
| Department | 大气环境与污染控制实验室 ; 大气环境与污染控制实验室 |
| Keyword | AIR-QUALITY IMPROVEMENT REGIONAL HAZE EVENT WINTER HAZE FORMATION MECHANISM POLLUTED CITIES EMISSION EPISODES EVOLUTION MEGACITY CLUSTER |
| Document Type | 期刊论文 |
| Identifier | https://ir.rcees.ac.cn/handle/311016/47395 |
| Collection | 大气环境与污染控制实验室 |
| Corresponding Author | Pan, Xiaole |
| Affiliation | 1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, Inst Urban Environm, Xiamen 361021, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Liu, Xiaoyong,Pan, Xiaole,Li, Jie,et al. Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study[J]. JOURNAL OF ENVIRONMENTAL SCIENCES,2022,115(0):465-473. |
| APA | Liu, Xiaoyong.,Pan, Xiaole.,Li, Jie.,Chen, Xi.,Liu, Hang.,...&He, Hong.(2022).Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study.JOURNAL OF ENVIRONMENTAL SCIENCES,115(0),465-473. |
| MLA | Liu, Xiaoyong,et al."Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study".JOURNAL OF ENVIRONMENTAL SCIENCES 115.0(2022):465-473. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Cross-boundary trans（2359KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment