Unveiling the health impacts of air pollution transport in China.

Dian Ding, Yueqi Jiang, Shuxiao Wang, Jia Xing, Zhaoxin Dong, Jiming Hao, Pauli Paasonen
Author Information
  1. Dian Ding: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland.
  2. Yueqi Jiang: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  3. Shuxiao Wang: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China. Electronic address: shxwang@mail.tsinghua.edu.cn.
  4. Jia Xing: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
  5. Zhaoxin Dong: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
  6. Jiming Hao: State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
  7. Pauli Paasonen: Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland.

Abstract

The transport of atmospheric pollutants plays a pivotal role in regional air pollution, highlighting critical concerns over the unequal health outcomes that arise from such transport. While previous researches predominantly focused on key areas in the battle against air pollution, the intensification of control measures necessitates a national perspective to comprehend the health impacts due to pollution transport. Our study establishes an integrated assessment framework that combine an emission-concentration response surface model with a health impact evaluation model to analyse the nationwide health impacts of PM and O pollution transport across China's 31 provinces. We found that, interprovincial transport of PM and O contributed to 747,000 and 110,000 deaths respectively in 2017, which amounts to 38% and 48% of deaths caused by total anthropogenic emissions. North, East, and Central China together contribute 82% and 69% to the health impacts caused by regional PM and O transport respectively, and the transport among these three regions is also significant. The analysis of interprovincial health impact transport shows that, for PM, the top contributors are Hebei, Shandong, Henan, Anhui, and Jiangsu, with the most affected being Henan, Shandong, Jiangsu, Hebei, and Guangdong. Regarding O, Shandong, Hebei, Henan, Jiangsu, and Anhui contribute the most, while Henan, Shandong, Hebei, Jiangsu, and Anhui are the most affected. This study can shed lights on regional control strategies by prioritizing control areas based on the health impact of air pollution transport in China.

Keywords

MeSH Term

China
Air Pollution
Air Pollutants
Humans
Particulate Matter
Environmental Monitoring
Ozone
Environmental Exposure

Chemicals

Air Pollutants
Particulate Matter
Ozone

Word Cloud

Created with Highcharts 10.0.0transporthealthpollutionPMOairimpactsimpactChinaHebeiShandongHenanJiangsuregionalcontrolAnhuiareasstudymodelinterprovincial000deathsrespectivelycausedcontributeaffectedatmosphericpollutantsplayspivotalrolehighlightingcriticalconcernsunequaloutcomesarisepreviousresearchespredominantlyfocusedkeybattleintensificationmeasuresnecessitatesnationalperspectivecomprehenddueestablishesintegratedassessmentframeworkcombineemission-concentrationresponsesurfaceevaluationanalysenationwideacrossChina's31provincesfoundcontributed7471102017amounts38%48%totalanthropogenicemissionsNorthEastCentraltogether82%69%amongthreeregionsalsosignificantanalysisshowstopcontributorsGuangdongRegardingcanshedlightsstrategiesprioritizingbasedUnveilingAirHealth325

Similar Articles

Cited By