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

Liang, Shuang; Li, Xiaoli; Teng, Yu; Fu, Hongchen; Chen, Li; Mao, Jian; Zhang, Hui; Gao, Shuang; Sun, Ying; Ma, Zhenxing; Azzi, Merched

doi:10.1016/j.envpol.2019.113267

Cited by 45 publications

(20 citation statements)

References 34 publications

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“…The 2015 population-weighted mean O 3 exposure was 84 μg/m 3 , which is also consistent with our findings (83.8 μg/m 3 , as shown in Table ). CTM-based or satellite-based estimates of O 3 have also been developed for China, but their model performance was not as good as the results from the random forest model. Similar approaches have also been applied to derive O 3 estimates for subregions of China, such as Nanjing and Hainan .…”

Section: Discussionmentioning

confidence: 99%

Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model

Xue

Zheng

Geng

et al. 2020

Environ. Sci. Technol.

156

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Since 2013, clean-air actions in China have reduced ambient concentrations of PM 2.5 . However, recent studies suggest that ground surface O 3 concentrations increased over the same period. To understand the shift in air pollutants and to comprehensively evaluate their impacts on health, a spatiotemporal model for O 3 is required for exposure assessment. This study presents a data-fusion algorithm for O 3 estimation that combines in situ observations, satellite remote sensing measurements, and model results from the community multiscale air quality model. Performance of the algorithm for O 3 estimation was evaluated by five-fold cross-validation. The estimates are highly correlated with the in situ observations of the maximum daily 8 h averaged O 3 (R 2 = 0.70). The mean modeling error (measured using the rootmean-squared error) is 26 μg/m 3 , which accounts for 29% of the mean level. We also found that satellite O 3 played a key role to improve model performance, particularly during warm months. The estimates were further used to illustrate spatiotemporal variation in O 3 during 2013−2017 for the whole country. In contrast to the reduced trend of PM 2.5 , we found that the population-weighted O 3 mean increased from 86 μg/m 3 in 2013 to 95 μg/m 3 in 2017, with a rate of 2.07 (95% CI: 1.65, 2.48) μg/m 3 per year at the national level. This increased trend in O 3 suggests that it is becoming an important contributor to the burden of diseases attributable to air pollutants in China. The developed method and the results generated from this study can be used to support future health-related studies in China.

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Section: Discussionmentioning

confidence: 99%

Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model

Xue

Zheng

Geng

et al. 2020

Environ. Sci. Technol.

156

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“…Most of the studies in China have so far focused on health impacts attributed to long-term exposure, but short-term O 3 exposure at high concentrations in the summer season also significantly impacts on human health, so cannot be overlooked (Bell et al, 2014;Tian et al, 2018;Raza et al, 2018). The short-term premature mortality attributed to high 4DMA8 O 3 is thought to have significantly contributed to the total mortality in China (Liang et al, 2019), as the number of people exposed above the 4DMA8 O 3 threshold was very high (Zhan et al, 2018). Third, we estimate the changes in premature mortality attributable to long-term and short-term O 3 exposure in Chinese cities.…”

Section: Introductionmentioning

confidence: 99%

Continuous increases of surface ozone and associated premature mortality growth in China during 2015–2019

Maji

Namdeo

2021

Environmental Pollution

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“…Maji et al found that the national Ozone attributable all-cause mortality was 69.6 (95% CI: 16.2 -115) to 74.2 (95% CI: 16.7 -127) thousand in 2016 [20]. Liang et al estimated that 120 (95% CI: 67 -160) thousand premature deaths could be avoided if China's ground-level Ozone concentration was reduced to the 100μg/m 3 [21]. Most of the existing studies focused on the long-term effects of chronic Ozone exposure, while ignored the health impacts caused by short-term exposure, perhaps due to the long-term exposure effects is far significant than the short-term [22][23][24][25][26][27].…”

mentioning

confidence: 99%

“…In addition, monetizing mortality attributable to air pollutants most commonly used the value of statistical life (VSL), while the willingness to pay (WTP) is the preferred method to calculate [32]. However, the spatial resolution of VSL in existing research can only be limited to the provincial level [20,21,30,33]. Due to the economic imbalance in Chinese cities, the economically-developed cities may have higher VSL and dense population, and the coarse spatial resolution may not be conducive to the embodiment of economic loss differentiation between cities.…”

mentioning

confidence: 99%

“…In addition to the types of health endpoints, another reason for the differences in economic valuation is the different valuation methods. For example, Liang used two valuation methods, VSL and AHC, to estimate the avoidable economic loss due to short-term Ozone exposure in 2016, and the result showed that if the Ozone concentration reduce to the expected value, the economic loss can be avoided by 36 and 64 billion Yuan respectively[21].…”

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confidence: 99%

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Spatiotemporal Assessment of Health Burden and Economic Losses attributable to short-term exposure to Ozone During 2015 - 2018 in China

Zhang

Yao

et al. 2020

Preprint

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Ground-level Ozone (O3) pollution is currently the one of the severe environmental problem in China. Although existing studies have quantified the O3-related health impact and economic loss, few have focused on the acute health effects of short-term exposure to O3 and have been limited to a single temporal and spatial dimension. Based on the O3 concentration obtained from ground monitoring networks in 334 Chinese cities in 2015 - 2018, this study used a two-stage exposure parameter weighted Log-linear exposure-response function to estimate the cause-specific mortality for short-term exposure to O3. The value of statistical life (VSL) method that were used to calculate the economic loss at the city-level. Our results show that in China, the national all-cause mortality attributed to O3 was 0.18 (95% CI: 0.09 - 0.36) to 0.26 (95% CI: 0.13 - 0.45) million across 2015 - 2018. The estimated economic loss caused by O3 was 253.83 (95% CI: 128.44 - 590.96) to 397.09 (95% CI: 203.54 - 759.27) billion CNY, accounting for 0.34% to 0.46% of total reported GDP. Overall, the O3 attributed health and economic burden has begun to decline in China since 2017. However, highly polluted areas still face severe burden, and undeveloped areas suffer from high GDP losses. There are substantial health impacts and economic losses related to short-term O3 exposure in China. The government should pay attention to the emerging Ozone pollution, and continue to strengthen the intervention in traditional priority areas while solving the pollution problem in non-priority areas.

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

Cited by 45 publications

References 34 publications

Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model

Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model

Continuous increases of surface ozone and associated premature mortality growth in China during 2015–2019

Spatiotemporal Assessment of Health Burden and Economic Losses attributable to short-term exposure to Ozone During 2015 - 2018 in China

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