Literature DB >> 30780069

Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions.

Jiandong Li1, Hong Liao2, Jianlin Hu3, Nan Li3.   

Abstract

This study examined the spatial and temporal variations of severe particulate pollution days (SPPDs) in China by using observed PM2.5 concentrations during April 2013 to February 2018 from the Ministry of Environmental Protection of China. SPPDs were defined as those with observed daily mean PM2.5 concentrations larger than 150 μg m-3. Observations showed that northern China had the highest number of SPPDs during the studied period. Since 2015, the number of SPPDs in northwestern China is comparable to or even higher than that observed in Beijing-Tianjin-Hebei (BTH). The highest numbers of SPPDs observed within BTH and the Yangtze River Delta (YRD) were 122 (33), 95 (17), 57 (15), 78 (18), and 31 (25) days in 2013, 2014, 2015, 2016, and 2017, respectively, indicating a general decreasing trend as a result of emission reduction measures. SPPDs occurred mainly from November to February in BTH and in December and January in the YRD. The major circulation patterns associated with large-scale SPPDs were analyzed by using principal component analysis. Five typical synoptic weather patterns were identified for BTH. The most dominant weather type (a cold high centered over the Xinjiang and Mongolian regions) for BTH was also responsible for most of the SPPDs in the YRD. These results have important implications for emission control strategies during SPPDs. Emission control measures can be applied once the dominant circulation patterns have been predicted.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Atmospheric circulation; Severe particulate pollution; T-PCA

Mesh:

Substances:

Year:  2019        PMID: 30780069     DOI: 10.1016/j.envpol.2019.01.124

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

1.  The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.

Authors:  Han Ding; Kanike Raghavendra Kumar; Richard Boiyo; Tianliang Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-15       Impact factor: 4.223

2.  Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak.

Authors:  Pengfei Wang; Kaiyu Chen; Shengqiang Zhu; Peng Wang; Hongliang Zhang
Journal:  Resour Conserv Recycl       Date:  2020-03-23       Impact factor: 10.204

3.  Impact of the COVID-19 outbreak on air pollution levels in East Asia.

Authors:  Masoud Ghahremanloo; Yannic Lops; Yunsoo Choi; Seyedali Mousavinezhad
Journal:  Sci Total Environ       Date:  2020-09-07       Impact factor: 7.963

4.  The impact of the COVID-19 outbreak on the air quality in China: Evidence from a quasi-natural experiment.

Authors:  Jian Zhang; Houjian Li; Muchen Lei; Lichen Zhang
Journal:  J Clean Prod       Date:  2021-02-23       Impact factor: 9.297

5.  A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations.

Authors:  Xiaowei Chuai; Yue Lu; Fangjian Xie; Feng Yang; Rongqin Zhao; Baoxin Pang
Journal:  J Environ Manage       Date:  2020-09-22       Impact factor: 6.789

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.