Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2016.11.007 |
Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications | |
Yin, Xiaohong1; Huang, Zhijiong1; Zheng, Junyu1; Yuan, Zibing1; Zhu, Wenbo1; Huang, Xiaobo1; Chen, Duohong2 | |
2017-04-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2017 |
卷号 | 186 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | As one of the most populous and developed provinces in China, Guangdong province (GD) has been experiencing regional haze problems. Identification of source contributions to ambient PM2.5 level is essential for developing effective control strategies. In this study, using the most up-to-date emission inventory and validated numerical model, source contributions to ambient PM2.5 from eight emission source sectors (agriculture, biogenic, dust, industry, power plant, residential, mobile and others) in GD in 2012 were quantified. Results showed that mobile sources are the dominant contributors to the ambient PM2.5 (24.0%) in the Pearl River Delta (PRD) region, the central and most developed area of GD, while industry sources are the major contributors (21.5% similar to 23.6%) to those in the Northeastern GD (NE-GD) region and the Southwestern GD (SW-GD) region. Although many industries have been encouraged to move from the central GD to peripheral areas such as NE-GD and SW-GD, their emissions still have an important impact on the PM2.5 level in the PRD. In addition, agriculture sources are responsible for 17.5% to ambient PM2.5 in GD, indicating the importance of regulations on agricultural activities, which has been largely ignored in the current air quality management. Super-regional contributions were also quantified and their contributions to the ambient PM2.(5) in GD are significant with notable seasonal differences. But they might be overestimated and further studies are needed to better quantify the transport impacts. (C) 2016 Elsevier B.V. All rights reserved. |
英文关键词 | PM2.5 Source apportionment Guangdong province Super-regional impact Seasonal variations |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000392557700006 |
WOS关键词 | PEARL RIVER DELTA ; EMISSION INVENTORY ; SOURCE APPORTIONMENT ; PARTICULATE MATTER ; REGION ; AEROSOLS ; IMPACT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/15266 |
专题 | 地球科学 |
作者单位 | 1.South China Univ Technol, Sch Environm & Energy, Guangzhou 510006, Guangdong, Peoples R China; 2.Guangdong Environm Monitoring Ctr, Modiesha St, Guangzhou 510308, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Yin, Xiaohong,Huang, Zhijiong,Zheng, Junyu,et al. Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications[J]. ATMOSPHERIC RESEARCH,2017,186. |
APA | Yin, Xiaohong.,Huang, Zhijiong.,Zheng, Junyu.,Yuan, Zibing.,Zhu, Wenbo.,...&Chen, Duohong.(2017).Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications.ATMOSPHERIC RESEARCH,186. |
MLA | Yin, Xiaohong,et al."Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications".ATMOSPHERIC RESEARCH 186(2017). |
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