Pingzhong Yan
Chinese Academy of Sciences
8 Papers
6 Citations
Pingzhong Yan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Air quality index & Pollution. The author has an hindex of 5, co-authored 7 publications.
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Papers
Weather reduced the annual heavy pollution days after 2016 in Beijing
Yiming Sun,Qizhong Wu,Lanning Wang,Baogang Zhang,Pingzhong Yan,Ling Jie Wang,Huaqiong Cheng,Mengfei Lv,Nan Wang,Shuangliang Ma +9 more
TL;DR: In this article , the authors used the WRF-SMOKE-CMAQ modeling system to reconstruct the characteristics of the fine particulate matter (PM2.5) concentrations from 2013 to 2019.
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Integrating LIDAR data and four-dimensional flux method to analyzing the transmission of PM2.5 in Shenzhen
Chanfang Liu,Long He,Pi Dongqin,Zhao Jiangwei,Liheng Lin,Pengfei He,Jiahe Wang,Wu Jianbin,Huansheng Chen,Pingzhong Yan,Weimin Wang,Shuxian Lin,Yong You +12 more
TL;DR: Based on LIDAR data of Shenzhen, China, the transmission characteristics of PM2.5 across Shenzhen's borders in the winter of 2017 (from December 1, 2017 to February 28, 2018) were analyzed using a four-dimensional flux method as mentioned in this paper.
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Impact of Pollutant Transport on the Air Quality of Shanghai in 2007
TL;DR: Wang et al. as discussed by the authors comprehensively analyzed the characteristics and formation mechanisms of air pollution in Shanghai, using a data set covering five selected air quality monitoring sites and a meteorological site.
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Model elucidating the sources and formation mechanisms of severe haze pollution over Northeast mega-city cluster in China.
TL;DR: Stagnant meteorological conditions, energy combustion, illegal emission and biomass burning are main drivers of strong haze formation and spatial distribution over Northeast China megacity cluster, and much effort on emission abatement at both local and regional scales is still an urgent imperative.
Validation of the Institute of Atmospheric Physics emergency response model with the meteorological towers measurements and SF6 diffusion and pool fire experiments
Junling An,Weiling Xiang,Zhiwei Han,Kaitao Xiao,Zifa Wang,Xinhua Wang,Jianbin Wu,Pingzhong Yan,Jie Li,Yong Chen,Jian Li,Ying Li +11 more
TL;DR: In this article, the authors used the Institute of Atmospheric Physics emergency response model (IAPERM) to simulate the vertical wind speeds in the urban canopy layer (UCL) of a 325m meteorological tower and sulfur hexafluoride (SF6) diffusion and pool fire experiments.