Interannual evolution of the chemical composition, sources and processes of PM2.5 in Chengdu, China: Insights from observations in four winters

Zhang, Junke; Li, Jiaqi; Su, Yunfei; Chen, Chunying; Chen, Luyao; Huang, Xiaojuan; Wang, Fangzheng; Huang, Yawen; Wang, Gehui

doi:10.1016/j.jes.2023.02.055

Cited by 11 publications

(5 citation statements)

References 86 publications

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“…This showed that the air quality had improved from 2016 to 2020, which is consistent with the findings of Tan et al [60]. This is mainly contributed to the implementation of measures such as the "650" project for air pollution control, the summer ozone control action plan, the implementation plan for Chengdu to win the battle to defend the blue sky, and the Chengdu air quality compliance plan (2018-2027) (Table S2) [52][53][54][55][56][57][58][59][60]. In 2020, the "636" project of low-carbon city construction was implemented in depth [97,98].…”

Section: Annual Variationsupporting

confidence: 84%

“…The unique basin topography and adverse meteorological conditions, coupled with high local emissions, impedes the diffusion and migration of local pollutants, and the region is particularly polluted [41,[50][51]. Besides, the Cheng-Yu region has introduced many air pollution control measures to ameliorate air quality in Chengdu [52][53][54][55][56][57][58][59][60] (Table S2).…”

Section: Graphical Abstract 1 Introductionmentioning

confidence: 99%

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Variation characteristics and coordinated emission reduction of air pollutants in megacity of Chengdu-Chongqing economic circle under dual carbon goal

Li,

Abdullah,

Sobri

et al. 2023

Environmental Engineering Research

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The air pollution process and impact mechanism of megacities located in complex terrain are particularly complex. As a typical megacity in China, Chengdu has unique topographical and meteorological conditions, and its pollution control is difficult. This study systematically elucidated the variation characteristics of six criteria air pollutants in Chengdu between 2014 and 2020. Besides, the PM2.5/PM10 and NO2/SO2 ratios were discussed. Furthermore, a detailed analysis of the correlation between air pollutants was carried out. Finally, the collaborative path of carbon reduction and air pollution control is discussed. The results indicated that SO2, PM2.5, PM10 and CO were significantly decreased by 62.9%, 50.8%, 45.5%, and 36.7%, respectively. PM2.5 and O3 compliance rates are very low, and O3 increases with fluctuations. SO2, NO2, CO, PM showed a “U-shaped” seasonal variation, and there was a “seesaw” phenomenon between O3 and PM2.5. The continuous changing trends also found in the ratios of PM2.5/PM10 and NO2/SO2. The results highlight the importance of coordinated reduction of carbon emissions and pollutants in Chengdu. This research can improve the prediction accuracy of air pollution in complex terrain areas under global warming, and improve the understanding of the formation mechanism of air pollution in special terrains around the world.

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Section: Annual Variationsupporting

confidence: 84%

Section: Graphical Abstract 1 Introductionmentioning

confidence: 99%

Variation characteristics and coordinated emission reduction of air pollutants in megacity of Chengdu-Chongqing economic circle under dual carbon goal

Li,

Abdullah,

Sobri

et al. 2023

Environmental Engineering Research

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“…This article delves into the research on whether green finance can suppress urban haze pollution, enriching the current research status of green finance and providing a new path for improving urban haze pollution. (2) This study enriches the empirical analysis of green finance and urban haze issues.…”

Section: Introductionmentioning

confidence: 87%

“…The key findings of this study can be summarized as follows: (1) Haze pollution in urban areas of China has significantly decreased, with the general trend of urban haze pollution spreading from central haze pollution hubs to neighbouring regions, and the primary emission hotspot has relocated to the northwest. (2) The progress of green finance development has greatly increased, with an eastern > western > central gradient distribution, and it has exhibited a greater spatial distribution concentration. (3) Green finance has a significant negative effect on urban haze pollution, including negative direct and spatial spillover effects, and this negative inhibitory effect weakens over time.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

“…In recent years, scholars have conducted extensive research on haze pollution and found that the causes of haze pollution are complex, including natural and human factors. After analysing a large number of haze samples, it was found that human factors such as industrial exhaust emissions and energy consumption are the main causes of urban haze pollution [1,2]. In addition, some studies have specifically pointed out that the combustion source of fossil fuels is also an important source of haze pollution [3].…”

Section: Introductionmentioning

confidence: 99%

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Green Finance Advancement and Its Impact on Urban Haze Pollution in China: Evidence from 283 Cities

Qiang,

Tang,

Wang

2024

Sustainability

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This study selects the entropy method to measure the comprehensive index of green finance and 2011–2020 panel data covering 283 cities in China; describes spatial and temporal evolution, the migration of the centre of gravity, and discrete trends in green finance and urban haze pollution; and empirically examines the effect of green finance on urban haze pollution using static and dynamic spatial Durbin models. The study revealed that Chinese urban haze pollution significantly decreased during the sample period and that the hotspot emission area shifted to the northeast. Green finance experienced significant advancement, transitioning from a lower stage to a higher stage and becoming more geographically focused. Green finance mainly suppresses urban haze pollution through spatial spillover effects, and such spatial spillover effects change from positive to negative over time. Regarding regional heterogeneity, the effect on the western region is positive, the effects on the central and eastern regions are negative, and there is a spatial spillover effect “from promotion to inhibition” in the eastern region. Due to the heterogeneity in resource endowments, green finance in nonresource-based cities has a greater impact on haze pollution than does green finance in other cities, and in the long term, it has a significant inhibitory effect on haze pollution. This study reveals the effect of green finance on urban haze pollution from a dynamic perspective and, in doing so, it not only provides a new path for joint governance of haze pollution between cities but also provides more accurate guidance for the government to formulate policies for different regions and regions with different resource endowments.

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Spatial–temporal evolution characteristics of PM2.5 and its driving mechanism: spatially explicit insights from Shanxi Province, China

Xue,

Chen

et al. 2024

Environ Monit Assess

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Interannual evolution of the chemical composition, sources and processes of PM2.5 in Chengdu, China: Insights from observations in four winters

Cited by 11 publications

References 86 publications

Variation characteristics and coordinated emission reduction of air pollutants in megacity of Chengdu-Chongqing economic circle under dual carbon goal

Variation characteristics and coordinated emission reduction of air pollutants in megacity of Chengdu-Chongqing economic circle under dual carbon goal

Green Finance Advancement and Its Impact on Urban Haze Pollution in China: Evidence from 283 Cities

Spatial–temporal evolution characteristics of PM2.5 and its driving mechanism: spatially explicit insights from Shanxi Province, China

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