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Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China.
Gao, Yang; Shan, Huayao; Zhang, Shaoqing; Sheng, Lifang; Li, Jianping; Zhang, Junxi; Ma, Mingchen; Meng, He; Luo, Kun; Gao, Huiwang; Yao, Xiaohong.
  • Gao Y; Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, Chin
  • Shan H; Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China.
  • Zhang S; Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Key Laboratory of Physical Oceanography, Ministry of Education/Institute for Advanced Ocean Study/Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China, Qingdao,
  • Sheng L; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China; Ocean-Atmosphere Interaction and Climate Laboratory, Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, 266100, China.
  • Li J; Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Key Laboratory of Physical Oceanography, Ministry of Education/Institute for Advanced Ocean Study/Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China, Qingdao,
  • Zhang J; State Key Laboratory of Clean Energy, Department of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
  • Ma M; Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China.
  • Meng H; Qingdao Environmental Monitoring Station, Qingdao, 266003, China.
  • Luo K; State Key Laboratory of Clean Energy, Department of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
  • Gao H; Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, Chin
  • Yao X; Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, Chin
Chemosphere ; 247: 125861, 2020 May.
Article en En | MEDLINE | ID: mdl-31931317
ABSTRACT
In this study, the seasonal mean PM2.5 concentration in Qingdao, a coastal city, during 2014-2018 was first analyzed and the winter, in particular of 2015, showed the highest concentration. To elucidate the sources and control factors of PM2.5, three dimensional model Weather Research and Forecasting (WRF), Community Multiscale Air Quality model (CMAQ), as well as Flexible Particle model (FLEXPART), were used. During December 2015 and January 2016, modeling results showed that the mean contribution to PM2.5 mass concentrations from local emissions in Qingdao was 25%, and the transport from north and west accounted for almost half. Over the two episodically polluted periods (29-31 December 2015; 15-17 January 2016), the local emissions in Qingdao surprisingly contributed to only 18% and 24% to PM2.5 mass concentrations, respectively, indicating the dominant contributions from other regions, such as areas outside Qingdao in Shandong and Beijing-Tianjin-Hebei (BTH). The results show the sources region and contribution may vary remarkably along with the change in the pathways of the air parcel, inferred by the FLEXPART, while the near-surface PM2.5 enhancement is largely caused by downward vertical advection and enhanced aerosol chemistry reactions, accompanied by simultaneous drop in the boundary layer height. This study also reveals that the transport contribution is sensitive to the air parcel trajectories. We, therefore, recommend the efficient emission control based on transport trajectories in short-term air quality improvement in Qingdao.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Emisiones de Vehículos / Monitoreo del Ambiente / Contaminantes Atmosféricos / Contaminación del Aire / Material Particulado / Modelos Teóricos Tipo de estudio: Prognostic_studies País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Emisiones de Vehículos / Monitoreo del Ambiente / Contaminantes Atmosféricos / Contaminación del Aire / Material Particulado / Modelos Teóricos Tipo de estudio: Prognostic_studies País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article