Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes
文献类型：期刊论文
| 作者 | Li, Xueke1; Seth, Anji1; Zhang, Chuanrong1; Feng, Ran2; Long, Xin3; Li, Weidong1; Liu, Kai4 |
| 刊名 | ATMOSPHERIC ENVIRONMENT
 |
| 出版日期 | 2020-02-01 |
| 卷号 | 222页码:13 |
| 关键词 | Pine particulate matter Extreme quantile analysis Model performance WRF-CMAQ |
| ISSN号 | 1352-2310 |
| DOI | 10.1016/j.atmosenv.2019.117181 |
| 通讯作者 | Li, Xueke(xueke.li@uconn.edu) |
| 英文摘要 | Fine particulate matter (PM2.5, with aerodynamic diameters < 2.5 mu m) pollution is one of the most pervasive air quality problems facing the world, Reliable air quality modeling of PM2.5 is essential to future air quality projection, which serves as a critical source of information for policy-making. Although various evaluation methods have been suggested to assess the capability of air quality models in reproducing PM2.5, most of studies were focused on the mean behaviors of air quality models, with little emphasis on extreme conditions, which may be more crucial for human health and climate change. To address this need, we proposed an evaluation framework in this study to characterize both mean and extreme conditions of PM2.5 and applied it to the WRF-CMAQ simulations over contiguous United States for the period of 2001-2010. Results from statistical, spatiotemporal, and extreme quantile evaluation methods show consistent good performance of the model in the Eastern U.S. However, PM2.5 mean variations and extreme trends in the western U.S. are not well represented by the model attributable to the existence of complex terrains and active fire activities. In addition, the magnitude of decreasing trends for extreme events is smaller than that for the mean PM2.5. Strong correspondence is found between PM2.5 extremes and meteorological extremes that are associated with a stagnant condition. More extreme PM2.5 pollution episodes are expected in a warming climate, with rural regions and the western U.S. suffering the most. Our results highlight the urgency for proper forest management and joint-control of air quality and carbon emissions in order to combat extreme air pollution events in the future. |
| WOS关键词 | AIR-QUALITY TRENDS ; NORTH CHINA PLAIN ; SURFACE OZONE ; METEOROLOGICAL DRIVERS ; DRIVING FORCES ; HUMAN HEALTH ; CO-BENEFITS ; POLLUTION ; EMISSIONS ; PM2.5 |
| 资助项目 | National Science Foundation (NSF) CAREER award[1056216] |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000510946800053 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Science Foundation (NSF) CAREER award |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132316]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Xueke |
| 作者单位 | 1.Univ Connecticut, Dept Geog, Storrs, CT 06269 USA 2.Univ Connecticut, Dept Geosci, Storrs, CT 06269 USA 3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xueke,Seth, Anji,Zhang, Chuanrong,et al. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes[J]. ATMOSPHERIC ENVIRONMENT,2020,222:13. |
| APA | Li, Xueke.,Seth, Anji.,Zhang, Chuanrong.,Feng, Ran.,Long, Xin.,...&Liu, Kai.(2020).Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes.ATMOSPHERIC ENVIRONMENT,222,13. |
| MLA | Li, Xueke,et al."Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes".ATMOSPHERIC ENVIRONMENT 222(2020):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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