Literature DB >> 32561004

Air pollution characteristics and human health risks in key cities of northwest China.

Haiping Luo1, Qingyu Guan2, Jinkuo Lin1, Qingzheng Wang1, Liqin Yang1, Zhe Tan1, Ning Wang1.   

Abstract

Air pollution events occur frequently in northwest China, which results in serious detrimental effects on human health. Therefore, it is essential to understand the air pollution characteristics and assess the risks to humans. In this study, we analyzed the pollution characteristics of criteria pollutants in six key cities in northwest China from 2015 to 2018. We used the air quality index (AQI), aggregate AQI (AAQI), and health-risk based AQI (HAQI) to assess the health risks and determine the proportion of people exposed to air pollution. Additionally, on this basis, the AirQ2.2.3 model was used to quantify the health effects of the pollutants. The results showed that PM10 pollution occurred mainly in spring and winter and was caused by frequent dust storms. PM2.5 pollution was caused mainly by anthropogenic activities (especially coal-fired heating in winter). Because of a series of government policies and pollutant reduction measures, PM2.5, SO2, NO2, and CO concentrations showed a downward trend during the study period (except for a small increase in the case of NO2 in some years.). However, O3 showed high concentrations due to the high intensity of solar radiation in summer and inadequate emission reduction measures. The air quality levels based on their classification were generally higher than the Chinese ambient air quality standard classified by the AQI index. We also found that the higher the AQI index was, the more serious the air pollution classified based on the AAQI and HAQI indices was. The HAQI index could better reflect the impact of pollutants on human health. Based on the HAQI index, 20% of the population in the study area was exposed to polluted air. The total mortality values attributable to PM10, PM2.5, SO2, O3, NO2, and CO, quantified by the AirQ2.2.3 model, were 3.00%, 1.02%, 1.00%, 4.22%, 1.57%, and 0.95% (Confidence Interval:95%), respectively; the attributable proportions of mortality for respiratory system and cardiovascular diseases were consistent with the change rule of total mortality, because the number of deaths attributable to the latter was greater than that for the former. According to the exposure reaction curves of pollutants, PM10 and PM2.5 still showed a large change at high concentrations. However, the tendencies of SO2, NO2, CO, and O3 were more obvious under low concentration exposure, which indicated that the expected mortality rate due to lower air pollution concentrations was much higher than the mortality due to high air pollution concentrations.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollutant; Air quality index; AirQ(2.2.3) model; Health risk assessment

Year:  2020        PMID: 32561004     DOI: 10.1016/j.jenvman.2020.110791

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  9 in total

1.  Contribution of on-road transportation to PM2.5.

Authors:  Chao Li; Shunsuke Managi
Journal:  Sci Rep       Date:  2021-10-29       Impact factor: 4.379

2.  Meteorological Condition and Air Pollution Exposure Associated with Vitamin D Deficiency: A Cross-Sectional Population-Based Study in China.

Authors:  He He; Yuping Zeng; Xia Wang; Lidan Yang; Mei Zhang; Zhenmei An
Journal:  Risk Manag Healthc Policy       Date:  2020-10-29

Review 3.  Trends, Issues and Future Directions of Urban Health Impact Assessment Research: A Systematic Review and Bibliometric Analysis.

Authors:  Wenbing Luo; Zhongping Deng; Shihu Zhong; Mingjun Deng
Journal:  Int J Environ Res Public Health       Date:  2022-05-13       Impact factor: 4.614

4.  Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries.

Authors:  Yongqi Feng; Ren Liu; Yung-Ho Chiu; Tzu-Han Chang
Journal:  Inquiry       Date:  2020 Jan-Dec       Impact factor: 1.730

5.  Air Pollution Characteristics and Health Risks in the Yangtze River Economic Belt, China during Winter.

Authors:  Mao Mao; Haofei Sun; Xiaolin Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-12-08       Impact factor: 3.390

6.  Assessing the Impact of Lockdown on Atmospheric Ozone Pollution Amid the First Half of 2020 in Shenyang, China.

Authors:  Liyuan Wang; Ju Wang; Chunsheng Fang
Journal:  Int J Environ Res Public Health       Date:  2020-12-03       Impact factor: 3.390

7.  Analysis of changes in air pollution quality and impact of COVID-19 on environmental health in Iran: application of interpolation models and spatial autocorrelation.

Authors:  Mostafa Keshtkar; Hamed Heidari; Niloofar Moazzeni; Hossein Azadi
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-26       Impact factor: 5.190

8.  Air pollution and post-COVID-19 work resumption: evidence from China.

Authors:  Yu Zheng
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-16       Impact factor: 5.190

9.  Determining the effect of air quality on activities of daily living disability: using tracking survey data from 122 cities in China.

Authors:  Huan Liu
Journal:  BMC Public Health       Date:  2022-04-26       Impact factor: 4.135

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.