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DOI10.1007/s00382-019-04954-3
Synergistic effects of synoptic weather patterns and topography on air quality: a case of the Sichuan Basin of China
Ning G.; Yim S.H.L.; Wang S.; Duan B.; Nie C.; Yang X.; Wang J.; Shang K.
发表日期2019
ISSN0930-7575
起始页码6729
结束页码6744
卷号53期号:11
英文摘要Heavy air pollution is strongly influenced by weather conditions and is thus sensitive to climate change. Especially, for the areas with complex topography such as the Sichuan Basin (SB), one of the most polluted areas of China, the synergistic effects of synoptic weather patterns and topography on air quality are unclear and warrant investigation. This study examined the typical synoptic patterns of SB in winter days of 2013–2017 and revealed their synergistic effects with topography on air quality. Three categories of synoptic patterns including dry low-trough, high-pressure, and wet low-vortex patterns accompanying heavy, medium, and slight air pollution, respectively, were identified. In particular, the dry low-trough patterns occur most frequently, accounting for around 62% of the total days. In the case of this pattern, westerly wind prevails over the SB and the aloft atmosphere is warmer than the Tibetan Plateau (TP) at the same height, which induces the cold air over TP moving eastward to the SB. Under the synergistic effects of the cold air eastward movement and TP, a strong descending motion (known as foehn) is observed on the leeward slope of the towering TP. This foehn warming causes a stable layer above the planetary boundary layer (PBL), which suppresses secondary circulation and PBL. These features restrict atmospheric pollutant dispersion, resulting in poor air quality. In contrast, for the high-pressure and wet low-vortex patterns, cold air masses from the north invade southward and cover the northwest SB. This invasion remarkably decreases the atmospheric stability of the lower troposphere, deepens the PBL, and enhances the height of secondary circulation, thereby facilitating air pollutant dispersion. Moreover, the wet low-vortex pattern is accompanied by frequent precipitation events (with 80% rainy days), further bringing down air pollution levels. These findings provide an insight for improving air pollution forecast in the complex terrain areas under global warming. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Air pollution; Complex topography; Foehn warming; Sichuan Basin; Synergistic effects; Synoptic weather patterns
语种英语
scopus关键词air quality; atmospheric pollution; concentration (composition); foehn; global warming; synoptic meteorology; weather forecasting; westerly; China; Sichuan Basin
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145795
作者单位Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, Hong Kong, China; The Gansu Key Laboratory of Arid Climate Change and Reducing Disaster, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China; Sichuan Key Laboratory for Plateau Atmosphere and Environment, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Lanzhou Central Meteorology Observatory, Lanzhou, 730020, China; Kaizhou Meteorological Bureau, Chongqing, 405400, China; Tianjin Environmental Meteorological Center, Tianjin, 300074, China
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Ning G.,Yim S.H.L.,Wang S.,et al. Synergistic effects of synoptic weather patterns and topography on air quality: a case of the Sichuan Basin of China[J],2019,53(11).
APA Ning G..,Yim S.H.L..,Wang S..,Duan B..,Nie C..,...&Shang K..(2019).Synergistic effects of synoptic weather patterns and topography on air quality: a case of the Sichuan Basin of China.Climate Dynamics,53(11).
MLA Ning G.,et al."Synergistic effects of synoptic weather patterns and topography on air quality: a case of the Sichuan Basin of China".Climate Dynamics 53.11(2019).
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