Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China

Air pollution is one of the leading causes for global deaths and understanding pollutant emission sources is key to successful mitigation policies. Air quality data in the urban, suburban, industrial, and rural areas (UA, SA, IA, and RA) of Jining, Shandong Province in China, were collected to compa...

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Main Authors: Yue Yuan (Author), Xi Zhang (Author), Jingfeng Zhao (Author), Fuzhen Shen (Author), Dongyang Nie (Author), Bing Wang (Author), Lei Wang (Author), Mengyue Xing (Author), Michaela I. Hegglin (Author)
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Published: Frontiers Media S.A., 2023-01-01T00:00:00Z.
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100 1 0 |a Yue Yuan  |e author 
700 1 0 |a Xi Zhang  |e author 
700 1 0 |a Jingfeng Zhao  |e author 
700 1 0 |a Fuzhen Shen  |e author 
700 1 0 |a Fuzhen Shen  |e author 
700 1 0 |a Dongyang Nie  |e author 
700 1 0 |a Bing Wang  |e author 
700 1 0 |a Lei Wang  |e author 
700 1 0 |a Mengyue Xing  |e author 
700 1 0 |a Michaela I. Hegglin  |e author 
700 1 0 |a Michaela I. Hegglin  |e author 
245 0 0 |a Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China 
260 |b Frontiers Media S.A.,   |c 2023-01-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1075262 
520 |a Air pollution is one of the leading causes for global deaths and understanding pollutant emission sources is key to successful mitigation policies. Air quality data in the urban, suburban, industrial, and rural areas (UA, SA, IA, and RA) of Jining, Shandong Province in China, were collected to compare the characteristics and associated health risks. The average concentrations of PM2.5, PM10, SO2, NO2, and CO show differences of −3.87, −16.67, −19.24, −15.74, and −8.37% between 2017 and 2018. On the contrary, O3 concentrations increased by 4.50%. The four functional areas exhibited the same seasonal variations and diurnal patterns in air pollutants, with the highest exposure excess risks (ERs) resulting from O3. More frequent ER days occurred within the 25-30°C, but much larger ERs are found within the 0-5°C temperature range, attributed to higher O3 pollution in summer and more severe PM pollution in winter. The premature deaths attributable to six air pollutants can be calculated in 2017 and 2018, respectively. Investigations on the potential source show that the ER of O3 (r of 0.86) had the tightest association with the total ER. The bivariate polar plots indicated that the highest health-based air quality index (HAQI) in IA influences the HAQI in UA and SA by pollution transport, and thus can be regarded as the major pollutant emission source in Jining. The above results indicate that urgent measures should be taken to reduce O3 pollution taking into account the characteristics of the prevalent ozone formation regime, especially in IA in Jining. 
546 |a EN 
690 |a air pollution 
690 |a functional regions 
690 |a health effect 
690 |a potential source 
690 |a premature mortality 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1075262/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/aeed4c1c57f14dba83af018286bf72c1  |z Connect to this object online.