Literature DB >> 31574391

Estimation of health and economic benefits based on ozone exposure level with high spatial-temporal resolution by fusing satellite and station observations.

Shuang Liang1, Xiaoli Li1, Yu Teng1, Hongchen Fu1, Li Chen2, Jian Mao1, Hui Zhang1, Shuang Gao1, Yanling Sun1, Zhenxing Ma1, Merched Azzi3.   

Abstract

In recent years, ozone pollution has become more and more serious in China. Several epidemiological studies have demonstrated the correlation between short-term ozone exposure and several health risks including all-cause mortality, cardiovascular mortality, and respiratory mortality. In this study, the daily ozone exposure levels with 10 km × 10 km resolution were estimated based on satellite data derived from Ozone Monitoring Instrument (OMI) and the monitoring data. The health impacts for potential decrease in the daily ozone concentration and the corresponding economic benefits in 2016 were estimated by applying the environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) model. By reducing the daily maximum 8-h average concentration of ozone to 100 μg/m3, the estimated avoided all-cause mortalities were 120 × 103 (95% confidence interval (CI): 67 × 103, 160 × 103) cases and the correspondingly economic benefits ranged from 36 to 64 billion CNY using amended human capital (AHC) and willingness to pay (WTP) method in 2016. If the daily maximum 8-h average concentration of ozone were rolled back to 70 μg/m3, the estimated avoided all-cause mortalities were 160 × 103 (95% CI: 98 × 103, 230 × 103) cases and economic benefits ranged from 54 to 95 billion CNY based on AHC and WTP methods.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  BenMAP; China; Economic benefit; Mortality; Ozone

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Year:  2019        PMID: 31574391     DOI: 10.1016/j.envpol.2019.113267

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


  2 in total

1.  Hourly Seamless Surface O3 Estimates by Integrating the Chemical Transport and Machine Learning Models in the Beijing-Tianjin-Hebei Region.

Authors:  Wenhao Xue; Jing Zhang; Xiaomin Hu; Zhe Yang; Jing Wei
Journal:  Int J Environ Res Public Health       Date:  2022-07-12       Impact factor: 4.614

2.  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

  2 in total

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