Response of fine particulate matter and ozone to precursors emission reduction in the Yangtze River Delta andits policy implications

Dong, Zhaoxin; Xing, Jia; Ding, Dian; Liu, Xin

doi:10.1360/tb-2021-0615

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…Jiangsu Province is one of the most developed areas in China that is also experiencing severe PM 2.5 pollution 35 . Locating in the transition belt from a subtropical to temperate zone with a typical East Asia monsoon climate 36 , Jiangsu has distinct weather conditions between seasons.…”

Section: Introductionmentioning

confidence: 99%

The interactive effects of extreme temperatures and PM2.5 pollution on mortalities in Jiangsu Province, China

Zhou¹,

Wang²,

Wang³

et al. 2023

Sci Rep

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Exposure to extreme temperatures or fine particles is associated with adverse health outcomes but their interactive effects remain unclear. We aimed to explore the interactions of extreme temperatures and PM2.5 pollution on mortalities. Based on the daily mortality data collected during 2015–2019 in Jiangsu Province, China, we conducted generalized linear models with distributed lag non-linear model to estimate the regional-level effects of cold/hot extremes and PM2.5 pollution. The relative excess risk due to interaction (RERI) was evaluated to represent the interaction. The relative risks (RRs) and cumulative relative risks (CRRs) of total and cause-specific mortalities associated with hot extremes were significantly stronger (p < 0.05) than those related to cold extremes across Jiangsu. We identified significantly higher interactions between hot extremes and PM2.5 pollution, with the RERI range of 0.00–1.15. The interactions peaked on ischaemic heart disease (RERI = 1.13 [95%CI: 0.85, 1.41]) in middle Jiangsu. For respiratory mortality, RERIs were higher in females and the less educated. The interaction pattern remained consistent when defining the extremes/pollution with different thresholds. This study provides a comprehensive picture of the interactions between extreme temperatures and PM2.5 pollution on total and cause-specific mortalities. The projected interactions call for public health actions to face the twin challenges, especially the co-appearance of hot extremes and PM pollution.

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Section: Introductionmentioning

confidence: 99%

The interactive effects of extreme temperatures and PM2.5 pollution on mortalities in Jiangsu Province, China

Zhou¹,

Wang²,

Wang³

et al. 2023

Sci Rep

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show abstract

“…In 2013, due to overexposure to O 3 , 16,000 premature deaths occurred in 28 EU countries, equivalent to 192,000 years of life lost [8]. Following the implementation of the Action Plan of Air Pollution Prevention and Control by the State Council on 10 September 2013, China saw promising results in air pollution prevention and control [9]. Between 2015 and 2020, the concentration of PM 2.5 in urban agglomerations significantly decreased [10]; however, O 3 concentrations increased.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China

Zhou

Liu

2023

Sustainability

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Tropospheric ozone (O3) pollution has emerged as a significant concern, as it can adversely influence human health, daily activities, and the surrounding environment(The following tropospheric O3 is referred to as O3). Research on the societal contribution to O3 primarily concentrates on the generation mechanisms and chemical processes, with limited studies examining the influence of social and economic activities on O3 at a national scale. In this investigation, spatial econometric models, random forest models, and geographically weighted regression (GWR) were adopted for assessing the effects of meteorological, natural, and socioeconomic factors on O3 concentration throughout the country. The spatial error model (SEM) revealed that precipitation, temperature, wind direction, per capita GDP, RD project funding, and SO2 were the primary factors influencing O3 concentration in China, among which precipitation had the strongest effect on O3, followed by temperature and SO2. Subsequently, the GWR model was utilized to demonstrate the regional differences in the impacts of precipitation, NOx, secondary industry proportion, and electricity consumption. In central and western regions, such as Jiangxi, Guangxi, and Guizhou, precipitation, NOx, and power consumption were the leading factors contributing to severe O3 pollution. The secondary industry proportion substantially affected O3 pollution in the Beijing-Tianjin-Hebei region, indicating that this sector played a crucial role in the region’s economic growth and contributed to elevated O3 concentrations. Meteorological, natural, and socioeconomic factors exhibited a lesser influence on O3 pollution in most eastern regions compared to central and western regions. This study’s findings identified the primary contributors to O3 pollution and provided a scientific basis for developing strategies to mitigate its impact.

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“…Jiangsu province is one of the most developed areas in China that is also experiencing severe PM 2.5 pollution 21 . Locating in the transition belt from a subtropical to temperate zone with a typical East Asia monsoon climate 22 , Jiangsu has distinct weather conditions between seasons.…”

Section: Introductionmentioning

confidence: 99%

The Interactive Effects of Extreme Temperatures and PM2.5 Pollution on Mortalities in Jiangsu Province, China

Zhou

Wang²,

Wang

et al. 2022

Preprint

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Background Exposure to either extreme temperatures or fine particles (PM2.5) is associated with adverse health outcomes but their interactive effects remain unclear. Here, we aimed to explore the interactions of extreme air temperatures and PM2.5 pollution on total and cause-specific mortalities. Methods Based on the daily mortality data collected between 2015 and 2019 in Jiangsu Province, China, we conducted generalized linear models to estimate the regional-level independent effects of cold/hot extremes and PM2.5 pollution. We further evaluated the relative excess risk due to interaction (RERI) to represent the combined effects. We estimated the joint effects with different extreme temperatures and PM2.5 pollution cutoffs. Results The relative risks (RRs) of total and cause-specific mortality associated with hot extremes were significantly stronger (p < 0.05) than those related to cold extremes across three regions in Jiangsu; the associations with cold extremes were less consistent. We identified significantly higher interactions (p < 0.05) between hot extremes and PM2.5 pollution than those between cold extremes and PM2.5 pollution, with RERIs ranging between 0.00 and 1.15 in hot seasons. The joint effects peaked on ischaemic heart disease (RERI = 1.13 [95%CI: 0.85, 1.41]) in middle Jiangsu. For respiratory mortality, RERIs were higher in females and in the less educated. The interaction pattern remained consistent when defining the extremes/pollution with different thresholds. Conclusion This study provides a comprehensive picture of the interactions between extreme temperature events and PM2.5 pollution on total and cause-specific mortalities. The projected interactions call for coordinated policies and public health actions to face the twin challenges, especially the co-appearance of hot extremes and PM pollution.

show abstract

Response of fine particulate matter and ozone to precursors emission reduction in the Yangtze River Delta andits policy implications

Cited by 5 publications

References 30 publications

The interactive effects of extreme temperatures and PM2.5 pollution on mortalities in Jiangsu Province, China

The interactive effects of extreme temperatures and PM2.5 pollution on mortalities in Jiangsu Province, China

Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China

The Interactive Effects of Extreme Temperatures and PM2.5 Pollution on Mortalities in Jiangsu Province, China

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