Literature DB >> 28040215

The impact of anthropogenic emissions and meteorological conditions on the spatial variation of ambient SO2 concentrations: A panel study of 113 Chinese cities.

Xue Yang1, Shaojian Wang2, Wenzhong Zhang3, Dongsheng Zhan1, Jiaming Li4.   

Abstract

China has received increased international criticism in recent years in relation to its air pollution levels, both in terms of the transmission of pollutants across international borders and the attendant adverse health effects being witnessed. Whilst existing research has examined the factors influencing ambient air pollutant concentrations, previous studies have failed to adequately explore the determinants of such concentrations from either a source or diffusion perspective. This study addressed both source (specifically, anthropogenic emissions) and diffusion (namely, meteorological conditions) indicators, in order to detect their respective impacts on the spatial variations seen in the distribution of air pollution. Spatial panel data for 113 major cities in China was processed using a range of global regression models-the ordinary least square model, the spatial lag model, and the spatial error model-as well as a local, geographic weighted regression (GWR) model. Results from the study suggest that in 2014, average SO2 concentrations exceeded China's first-level target. The most polluted cities were found to be predominantly located in northern China, while less polluted cities were located in southern China. Global regression results indicated that precipitation exerts a significant effect on SO2 reduction (p<0.001) and that a regional increase of 1mm in precipitation can reduce SO2 concentrations by 0.026μg/m3. Both emission and temperature factors were found to aggravate SO2 concentrations, although no such significant correlation was found in relation to wind speed. GWR results suggest that the association between SO2 and its factors varied over space. Increased emissions were found to be able to produce more pollution in the northwest than in other parts of the country. Higher wind speeds and temperatures in northwestern areas were shown to reinforce SO2 pollution, while in southern regions, they had the opposite effect. Further, increased precipitation was found to exert a greater inhibitory effect on SO2 pollution in the country's northeast than that in other areas. Our findings could provide a detailed reference for formulating regionally specific emission reduction policies in China.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anthropogenic emissions; China; Meteorological conditions; SO(2) concentration; Spatial variation

Mesh:

Substances:

Year:  2016        PMID: 28040215     DOI: 10.1016/j.scitotenv.2016.12.145

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


  5 in total

1.  Spatiotemporal Variations and Driving Factors of Air Pollution in China.

Authors:  Dongsheng Zhan; Mei-Po Kwan; Wenzhong Zhang; Shaojian Wang; Jianhui Yu
Journal:  Int J Environ Res Public Health       Date:  2017-12-08       Impact factor: 3.390

2.  Impact of the COVID-19 pandemic on air pollution in Chinese megacities from the perspective of traffic volume and meteorological factors.

Authors:  Chanchan Gao; Shuhui Li; Min Liu; Fengying Zhang; V Achal; Yue Tu; Shiqing Zhang; Chaolin Cai
Journal:  Sci Total Environ       Date:  2021-02-03       Impact factor: 7.963

3.  Environmental investigation of pollutants in coal mine operation and waste dump area monitored in Ordos Region, China.

Authors:  Ang Li; Changkun Chen; Jie Chen; Peng Lei
Journal:  RSC Adv       Date:  2021-03-10       Impact factor: 3.361

4.  Spatiotemporal Regularity and Socioeconomic Drivers of the AQI in the Yangtze River Delta of China.

Authors:  Dan Yan; Guoliang Chen; Yu Lei; Qi Zhou; Chengjun Liu; Fan Su
Journal:  Int J Environ Res Public Health       Date:  2022-07-25       Impact factor: 4.614

5.  Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes.

Authors:  José Abel Espinoza-Guillen; Marleni Beatriz Alderete-Malpartida; Jimmy Hans Cañari-Cancho; Dennis Libio Pando-Huerta; David Fernando Vargas-La Rosa; Sadyth Jhocelú Bernabé-Meza
Journal:  Environ Dev Sustain       Date:  2022-08-05       Impact factor: 4.080

  5 in total

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