The contribution of socioeconomic factors to PM2.5 pollution in urban China

Jiang, Peng; Yang, Jun; Huang, Conghong; Liu, Huakui

doi:10.1016/j.envpol.2017.09.090

Cited by 106 publications

(51 citation statements)

References 48 publications

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“…Many studies have shown that socioeconomic factors are the most significant factors influencing PM 2.5 concentrations [19,43], with the power of the determinant greater than 50% [44]. Our findings are consistent with these studies.…”

Section: Analysis Of the Socioeconomic Drivers Of Pm 25 Pollutionsupporting

confidence: 92%

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Yun

Jiang

et al. 2019

Atmosphere

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High concentrations of PM2.5 are a primary cause of haze in the lower atmosphere. A better understanding of the spatial heterogeneity and driving factors of PM2.5 concentrations is important for effective regional prevention and control. In this study, we carried out remote sensing inversion of PM2.5 concentration data over a long time series and used spatial statistical analyses and a geographical detector model to reveal the spatial distribution and variation characteristics of PM2.5 and the main influencing factors in the Yangtze River Delta from 2005 to 2015. Our results show that (1) The average annual PM2.5 concentration in the Yangtze River Delta prior to 2007 displayed an increasing trend, followed by a decreasing trend after 2007 which eventually stabilized; and (2) climate regionalization and geomorphology were the dominant natural factors driving PM2.5 concentration diffusion, while total carbon dioxide emissions and population density were the dominant socioeconomic factors affecting the formation of PM2.5. Natural factors and socioeconomic factors together lead to PM2.5 pollution. These findings provide an interpretation of PM2.5 spatial distribution and the mechanisms influencing PM2.5 pollution, which can help the Chinese government develop effective abatement strategies.

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Section: Analysis Of the Socioeconomic Drivers Of Pm 25 Pollutionsupporting

confidence: 92%

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Yun

Jiang

et al. 2019

Atmosphere

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“…Overall, previous studies have revealed that developed countries display a general increasing trend of AV after the mid-1980s, whereas developing countries display substantially decreasing trends of AV due to rapid economic development-this is especially true in China [18][19][20][21][22]. These previous studies analyzed the characteristics of AV in their study areas, which provided valid suggestions for the public and environmental policy makers [3][4][5][6][7][8][9][10][11][12][16][17][18][19][20][21][22][23][24][25]. However, as there has been no long-term data, few studies have been able to analyze the relationship between AV and the factors affecting AV.…”

Section: Introductionmentioning

confidence: 93%

“…The mitigation of AV decline occurred after 2006, which may be due to the government's control of pollution. For China's centralized political system, pollution control policies, and regulations made at the national level have a strong mandate at the city level [23]. After the Chinese government became aware of the seriousness of environmental pollution, a series of laws, regulations, and standards have been formulated, adopted, and promulgated.…”

Section: Long-term Trends Of the Atmospheric Visibility In 31 Pccs Ofmentioning

confidence: 99%

“…For China's centralized political system, environmental policies and regulations made at the national level have a strong mandate at the city level. National appeal also has a strong role in raising public awareness of environmental protection [17][18][19][20][21][22][23][24][25]. Studies of AV in typical urban areas can help the public and policy makers better understand how to improve AV in China.…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016

Chen

Zhu

et al. 2018

Atmosphere

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Millions of pulmonary diseases, respiratory diseases, and premature deaths are caused by poor ambient air quality in developing countries, especially in China. A proven indicator of ambient air quality, atmospheric visibility (AV), has displayed continuous decline in China’s urban areas. A better understanding of the characteristics and the factors affecting AV can help the public and policy makers manage their life and work. In this study, long-term AV trends (from 1957–2016, excluding 1965–1972) and spatial characteristics of 31 provincial capital cities (PCCs) of China (excluding Taipei, Hong Kong, and Macau) were investigated. Seasonal and annual mean values of AV, percentage of ‘good’ (≥20 km) and ‘bad’ AV (<10 km), cumulative percentiles and the correlation between AV, socioeconomic factors, air pollutants and meteorological factors were analyzed in this study. Results showed that annual mean AV of the 31 PCCs in China were 14.30 km, with a declining rate of −1.07 km/decade. The AV of the 31 PCCs declined dramatically between 1973–1986, then plateaued between 1987–2006, and rebounded slightly after 2007. Correlation analysis showed that impact factors (e.g., urban size, industrial activities, residents’ activities, urban greening, air quality, and meteorological factors) contributed to the variation of AV. We also reveal that residents’ activities are the primary direct socioeconomic factors on AV. This study hopes to help the public fully understand the characteristics of AV and make recommendations about improving the air environment in China’s urban areas.

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“…The socioeconomic elements also have a significant influence on the PM 2.5 pollution, and the sustainable atmospheric environment is also a crucial guarantee for the social and economic development (Cheng et al 2017;Wu et al 2018;Yang et al 2018). The relationship between the socioeconomic factors and the PM 2.5 pollution has gradually attracted people's attention in China (Lin et al 2013;Yang et al 2016;Jiang et al 2018). At present, the comprehensive evaluate the PPR that combining natural with social factors from the hazard risk assessment perspective is scarce.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of PM_2.5 pollution risk in China using three-dimensional Archimedean copula method

Liu

2019

Geomatics, Natural Hazards and Risk

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As one of the most vital pointers of the air quality, PM 2.5 has a great influence on the sustainable development of the environment and economy in China. To evaluate the PM 2.5 pollution risk (PPR), we considered the danger of the hazard (H), the exposure (E), and vulnerability (V) of the hazard-affected body from the modern disaster comprehensive risk perspective. We tried to introduce the three-dimensional Archimedean copula method to assess the PPR from the Eight Comprehensive Economic (ECE) zones to the whole region in China. The analysis results show that: (i) the PPR is monotone increasing with the H, E, and V; (ii) the H and V have more direct impact on the PPR than the E, and the three aspects need to be considered simultaneously in the risk assessment; (iii) although all regions can achieve the daily average concentration limit (H < 35 lg=m 3) except the middle reaches of the Yangtze River, it is difficult for the half of the ECE zones to maintain good air quality (H < 15 lg=m 3) since the high probability risk.

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The contribution of socioeconomic factors to PM2.5 pollution in urban China

Cited by 106 publications

References 48 publications

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016

Comparative analysis of PM_2.5 pollution risk in China using three-dimensional Archimedean copula method

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The contribution of socioeconomic factors to PM2.5 pollution in urban China

Cited by 106 publications

References 48 publications

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016

Comparative analysis of PM2.5 pollution risk in China using three-dimensional Archimedean copula method

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Comparative analysis of PM_2.5 pollution risk in China using three-dimensional Archimedean copula method