Literature DB >> 30690364

Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China.

Pengfei Wang1, Hao Guo1, Jianlin Hu2, Sri Harsha Kota3, Qi Ying4, Hongliang Zhang5.   

Abstract

Tremendous efforts have been made to reduce the severe air pollution in China since 2013. However, the annual and peak fine particulate matter (PM2.5) concentrations during severe events in winter did not always reduce as expected. This is partially due to the inter-annual variation of meteorology, which affects the emission, transport, transformation, and deposition processes of air pollutants. In this study, the responses of PM2.5 and ozone (O3) concentrations to changes in emission and meteorology from 2013 to 2015 were investigated based on ambient measurements and the Community Multi-Scale Air Quality (CMAQ) model simulations with anthropogenic emissions. It is found that emission reductions in 2014 and 2015 effectively reduced PM2.5 concentrations by 23.9 and 43.5 μg/m3, respectively, but was partially counteracted by unfavorable meteorology. The negative effects from unfavorable meteorology were significant in extreme pollution events. For example, in December 2015, unfavorable meteorology caused a great increase (90 μg/m3) of PM2.5 in Beijing. Reduction of primary PM and gaseous precursors led to 13.4 and 16.5 ppb increase of O3-8 h daily concentrations in the summertime in 2014 and 2015 in comparison of 2013, which was likely caused by the increase of solar actinic flux due to PM reduction. In addition, reduction of nitrogen oxides (NOx) emissions in areas with negative NOx-O3 sensitivity could lead to an increase of O3 formation when the reduction of volatile organic compounds (VOCs) was not sufficient. This unintended enhanced O3 formation could also lead to higher O3 in downwind areas. This study emphasizes the role of meteorology in pollution control, validates the effectiveness of PM2.5 control measures in China, and highlights the importance of appropriate joint reduction of NOx and VOCs to simultaneously decrease O3 and PM2.5 for higher air quality.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Counteraction; Meteorology variation; Ozone; PM(2.5)

Year:  2019        PMID: 30690364     DOI: 10.1016/j.scitotenv.2019.01.227

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

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Authors:  Meifang Yu; Yun Zhu; Che-Jen Lin; Shuxiao Wang; Jia Xing; Carey Jang; Jizhang Huang; Jinying Huang; Jiangbo Jin; Lian Yu
Journal:  J Environ Manage       Date:  2019-05-20       Impact factor: 6.789

2.  Implications of Mitigating Ozone and Fine Particulate Matter Pollution in the Guangdong-Hong Kong-Macau Greater Bay Area of China Using a Regional-To-Local Coupling Model.

Authors:  Xuguo Zhang; Jenny Stocker; Kate Johnson; Yik Him Fung; Teng Yao; Christina Hood; David Carruthers; Jimmy C H Fung
Journal:  Geohealth       Date:  2022-03-11

3.  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

4.  Effects of corona virus disease-19 control measures on air quality in North China.

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Journal:  Environmetrics       Date:  2021-02-20       Impact factor: 1.900

5.  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

6.  Contrasting Trends of Surface PM2.5, O3, and NO2 and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta.

Authors:  Min Lv; Zhanqing Li; Qingfeng Jiang; Tianmeng Chen; Yuying Wang; Anyong Hu; Maureen Cribb; Aling Cai
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

7.  Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima, Perú.

Authors:  Rita Jaqueline Cabello-Torres; Manuel Angel Ponce Estela; Odón Sánchez-Ccoyllo; Edison Alessandro Romero-Cabello; Fausto Fernando García Ávila; Carlos Alberto Castañeda-Olivera; Lorgio Valdiviezo-Gonzales; Carlos Enrique Quispe Eulogio; Alex Rubén Huamán De La Cruz; Javier Linkolk López-Gonzales
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

8.  The Impact of the COVID-19 Pandemic on Ambient Air Quality in China: A Quasi-Difference-in-Difference Approach.

Authors:  Tuo Zhang; Maogang Tang
Journal:  Int J Environ Res Public Health       Date:  2021-03-25       Impact factor: 3.390

  8 in total

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