Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.7717/peerj.11322 |
Ambient ozone pollution at a coal chemical industry city in the border of Loess Plateau and Mu Us Desert: characteristics, sensitivity analysis and control strategies | |
Yin, Manfei; Zhang, Xin; Li, Yunfeng; Fan, Kai; Li, Hong; Gao, Rui; Li, Jinjuan | |
通讯作者 | Li, JJ (corresponding author), Guizhou Univ, Coll Resource & Environm Engn, Guiyang, Peoples R China. ; Gao, R (corresponding author), Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing, Peoples R China. |
来源期刊 | PEERJ
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ISSN | 2167-8359 |
出版年 | 2021 |
卷号 | 9 |
英文摘要 | In this study, ambient ozone (O-3) pollution characteristics and sensitivity analysis were carried out in Yulin, a city in the central area of the Loess Plateau during 2017 to 2019 summer. O-3 concentrations increased for 2017 to 2019. Correlation and statistics analysis indicated high temperature (T > 25 degrees C, low relative humidity (RH < 60%), and low wind speed (WS < 3 m/s) were favorable for O-3 formation and accumulation, and the O-3 pollution days (MDA8 O-3 > 160 mg/m(3)) were predominantly observed when the wind was traveling from the easterly and southerly. O-3 concentration in urban area of Yulin was higher than that in background. The pollution air masses from Fenwei Plain increase the level and duration of O-3 pollution. In order to clarify the formation mechanism and source of O-3, online measurements of volatile organic compounds (VOCs) were conducted from 7 July to 10 August in 2019. The average of VOCs concentration was 26 +/- 12 ppbv, and large amounts of alkenes followed by aromatics, characteristic pollutants of the coal chemical industry, were detected in the ambient air. To further measure the sensitivity, the observation-based model (OBM) simulation was conducted. Empirical Kinetic Modeling Approach (EKMA) plot and relative incremental reactivity (RIR) value indicated Yulin located on VOCs-limited regime. That implied a slight decrease of NOx may increase O-3 concentration. When the emission reduction ratio of anthropogenic VOCs/NOx higher than 1:1, the O-3 will decrease. O-3 control strategies analysis shows that the O-3 targets of 5% and 10% O-3 concentration reductions are achievable through precursor control, but more effort is needed to reach the 30% and 40% reduction control targets. |
英文关键词 | Ozone Sensitivity Coal chemistry Loess Plateau Characteristics OBM simulation |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold, Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000645225700011 |
WOS关键词 | VOLATILE ORGANIC-COMPOUNDS ; RIVER DELTA REGION ; POSITIVE MATRIX FACTORIZATION ; OBSERVATION-BASED MODEL ; SOURCE APPORTIONMENT ; SURFACE OZONE ; PRECURSOR RELATIONSHIPS ; SOURCE PROFILES ; FUGITIVE DUST ; AIR-QUALITY |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/351302 |
作者单位 | [Yin, Manfei; Li, Jinjuan] Guizhou Univ, Coll Resource & Environm Engn, Guiyang, Peoples R China; [Yin, Manfei; Zhang, Xin; Li, Yunfeng; Li, Hong; Gao, Rui] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing, Peoples R China; [Zhang, Xin; Li, Yunfeng] Shandong Univ, Environm Res Inst, Jinan, Peoples R China; [Fan, Kai] Yulin Municipal Ecol & Environm Bur, Yulin, Peoples R China |
推荐引用方式 GB/T 7714 | Yin, Manfei,Zhang, Xin,Li, Yunfeng,et al. Ambient ozone pollution at a coal chemical industry city in the border of Loess Plateau and Mu Us Desert: characteristics, sensitivity analysis and control strategies[J],2021,9. |
APA | Yin, Manfei.,Zhang, Xin.,Li, Yunfeng.,Fan, Kai.,Li, Hong.,...&Li, Jinjuan.(2021).Ambient ozone pollution at a coal chemical industry city in the border of Loess Plateau and Mu Us Desert: characteristics, sensitivity analysis and control strategies.PEERJ,9. |
MLA | Yin, Manfei,et al."Ambient ozone pollution at a coal chemical industry city in the border of Loess Plateau and Mu Us Desert: characteristics, sensitivity analysis and control strategies".PEERJ 9(2021). |
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