Literature DB >> 30721870

Ozone pollution in Chinese cities: Assessment of seasonal variation, health effects and economic burden.

Kamal Jyoti Maji1, Wei-Feng Ye2, Mohit Arora3, S M Shiva Nagendra4.   

Abstract

The ground-level ozone (O3) concentration in the urban regions of China has become an increasingly noticeable environmental problem in recent years. Many epidemiological studies have reported the association between O3 pollution and mortality, only a few studies have focused on the O3-related mortality and corresponding economic effects at the Chinese city and province level. This study reports the seasonal variation of ground-level O3 in 338 cities of China during the year 2016 and evaluates its effect on premature mortality and economic loss. It further illustrates the differences in cause-specific mortality outcomes of the log-linear and linear model, two of the prominently used methods for estimating health effects. In 2016, the annual average daily maximum 8-h O3 concentration in China ranged between 74 and 201 μg/m3 (138 ± 24.7 μg/m3). 30% of the total population was exposed to >160 μg/m3 O3 concentration (Chinese national ambient air quality standard) and about 67.2% urban population lived in exposure above the WHO recommended O3 concentrations (100 μg/m3). The estimated national O3-attributable mortality was 74.2 × 103 (95% CI: 16.7×103-127×103) in the log-linear model, whereas, the total O3-related mortality using the linear model was 69.6 × 103 (95% CI: 16.2 × 103-115 × 103). The exposure to O3 caused a nationwide economic loss of about 7.6 billion US$ (range: 1.7-12.9) in 2016. This study uniquely provides most comprehensive coverage of the Chinese cities for O3 associated mortality utilizing ground level measurement data for 2016 and presents a measurable assessment to the policymakers of China for streamlining their efforts on air quality improvement and O3 containment.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; Economic loss; Long-term mortality; Spatial distributions of ozone

Mesh:

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Year:  2019        PMID: 30721870     DOI: 10.1016/j.envpol.2019.01.049

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  6 in total

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Authors:  Meifang Yu; Yun Zhu; Che-Jen Lin; Shuxiao Wang; Jia Xing; Carey Jang; Jizhang Huang; Jinying Huang; Jiangbo Jin; Lian Yu
Journal:  J Environ Manage       Date:  2019-05-20       Impact factor: 6.789

2.  A Health Impact and Economic Loss Assessment of O3 and PM2.5 Exposure in China From 2015 to 2020.

Authors:  Xiangxue Zhang; Changxiu Cheng; Hui Zhao
Journal:  Geohealth       Date:  2022-03-01

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Authors:  Jingcheng Zhou; Junfeng Liu; Songlin Xiang; Yizhou Zhang; Yuqing Wang; Wendong Ge; Jianying Hu; Yi Wan; Xuejun Wang; Ying Liu; Jianmin Ma; Xilong Wang; Shu Tao
Journal:  Int J Environ Res Public Health       Date:  2022-08-22       Impact factor: 4.614

4.  Related Factors and Economic Burden Evaluation of Nosocomial Infection in Patients with Chronic Kidney Disease.

Authors:  Jinxian Wang; Ling Zhang; Zhaoxia Yang; Ju Liu; Wei Guo
Journal:  Contrast Media Mol Imaging       Date:  2022-08-24       Impact factor: 3.009

5.  Effect of bromine and iodine chemistry on tropospheric ozone over Asia-Pacific using the CMAQ model.

Authors:  Yeqi Huang; Xingcheng Lu; Jimmy C H Fung; Golam Sarwar; Zhenning Li; Qinyi Li; Alfonso Saiz-Lopez; Alexis K H Lau
Journal:  Chemosphere       Date:  2020-07-10       Impact factor: 7.086

6.  Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015-2018 in China.

Authors:  Zihan Zhang; Minghong Yao; Wenjing Wu; Xing Zhao; Juying Zhang
Journal:  BMC Public Health       Date:  2021-06-05       Impact factor: 3.295

  6 in total

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