Economic losses due to ozone impacts on human health, forest productivity and crop yield across China

Feng, Zhaozhong; Marco, Alessandra De; Anav, Alessandro; Gualtieri, Maurizio; Sicard, Pierre; Tian, Hanqin; Fornasier, Maria Francesca; Tao, Fulu; Guo, Anhong; Paoletti, Elena

doi:10.1016/j.envint.2019.104966

Cited by 229 publications

(126 citation statements)

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“…Potential impacts on crops and forests need to be assessed. Recently, Feng et al (2019) published an assessment of economic losses caused by ozone impacts on human health, forest productivity, and crop yield in China. They used one year (2015) ozone measurements from more than 1497 sites in mainland China and found significant ozone-related losses.…”

Section: Seasonal Metricsmentioning

confidence: 99%

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Lin

et al. 2020

Elem Sci Anth

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detrimental to human health and vegetation (REVIHAAP, 2013; CLRTAP, 2016). Atmospheric ozone can only be formed in photochemical reactions. In the stratosphere, ozone is produced and sustained by the Chapman mechanism and catalytically destroyed by active species, such as OH, NO, and halogenated species (Solomon, 1999). A simulation study by Lelieveld and Dentener (2000) suggests that more than 85% of tropospheric ozone originates from photochemical oxidation of volatile organic compounds (VOCs), CO, and CH 4 , catalyzed by NO x , with

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Section: Seasonal Metricsmentioning

confidence: 99%

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Lin

et al. 2020

Elem Sci Anth

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“…Moreover, in a study of nine European cities including Rome and Valencia, the percentage increase in all deaths from natural causes per°C increase in air temperature tended to be greater during high O 3 days (Analitis et al, 2018), suggesting interactions with climate change. Air pollution in China has been a rising threat to human health (Liu et al, 2016;Feng et al, 2019) with annually about 2.5 million premature deaths attributed to air pollution (Lelieveld et al, 2015). Based on WHO metrics for human health protection, the O 3 levels led to 59,844 additional deaths in 2015 across China (Feng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Amplified ozone pollution in cities during the COVID-19 lockdown

Sicard¹,

Marco²,

Agathokleous

et al. 2020

Science of The Total Environment

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“…Therefore, some studies tried to use traditional statistical models coupled with high-resolution satellite data to estimate the ambient O 3 level. Fioletov et al (2002) used the satellite measurement to investigate the global distribution of O 3 concentrations based on a simple linear model. Recently, Kim et al (2018) employed the integrated empirical geographic regression method to predict the long-term (1979-2015) variation in ambient O 3 concentration over the United States based on O 3 column amount data.…”

Section: Introductionmentioning

confidence: 99%

Developing a novel hybrid model for the estimation of surface 8 h ozone (O₃) across the remote Tibetan Plateau during 2005–2018

Zhao

Zhou

et al. 2020

Atmos. Chem. Phys.

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Abstract. We developed a two-stage model called the random-forest–generalised additive model (RF–GAM), based on satellite data, meteorological factors, and other geographical covariates, to predict the surface 8 h O3 concentrations across the remote Tibetan Plateau. The 10-fold cross-validation result suggested that RF–GAM showed excellent performance, with the highest R2 value (0.76) and lowest root-mean-square error (RMSE) (14.41 µg m−3), compared with other seven machine-learning models. The predictive performance of RF–GAM showed significant seasonal discrepancy, with the highest R2 value observed in summer (0.74), followed by winter (0.69) and autumn (0.67), and the lowest one in spring (0.64). Additionally, the unlearning ground-observed O3 data collected from open-access websites were applied to test the transferring ability of the novel model and confirmed that the model was robust in predicting the surface 8 h O3 concentration during other periods (R2=0.67, RMSE = 25.68 µg m−3). RF–GAM was then used to predict the daily 8 h O3 level over the Tibetan Plateau during 2005–2018 for the first time. It was found that the estimated O3 concentration displayed a slow increase, from 64.74±8.30 µg m−3 to 66.45±8.67 µg m−3 from 2005 to 2015, whereas it decreased from the peak to 65.87±8.52 µg m−3 during 2015–2018. Besides this, the estimated 8 h O3 concentrations exhibited notable spatial variation, with the highest values in some cities of the northern Tibetan Plateau, such as Huangnan (73.48±4.53 µg m−3) and Hainan (72.24±5.34 µg m−3), followed by the cities in the central region, including Lhasa (65.99±7.24 µg m−3) and Shigatse (65.15±6.14 µg m−3), and the lowest O3 concentration occurred in a city of the southeastern Tibetan Plateau called Aba (55.17±12.77 µg m−3). Based on the 8 h O3 critical value (100 µg m−3) provided by the World Health Organization (WHO), we further estimated the annual mean nonattainment days over the Tibetan Plateau. It should be noted that most of the cities on the Tibetan Plateau had excellent air quality, while several cities (e.g. Huangnan, Haidong, and Guoluo) still suffered from more than 40 nonattainment days each year, which should be given more attention in order to alleviate local O3 pollution. The results shown herein confirm that the novel hybrid model improves the prediction accuracy and can be applied to assess the potential health risk, particularly in remote regions with few monitoring sites.

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Economic losses due to ozone impacts on human health, forest productivity and crop yield across China

Cited by 229 publications

References 58 publications

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Amplified ozone pollution in cities during the COVID-19 lockdown

Developing a novel hybrid model for the estimation of surface 8 h ozone (O₃) across the remote Tibetan Plateau during 2005–2018

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Economic losses due to ozone impacts on human health, forest productivity and crop yield across China

Cited by 229 publications

References 58 publications

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Long-term changes of regional ozone in China: implications for human health and ecosystem impacts

Amplified ozone pollution in cities during the COVID-19 lockdown

Developing a novel hybrid model for the estimation of surface 8 h ozone (O3) across the remote Tibetan Plateau during 2005–2018

Contact Info

Product

Resources

About

Developing a novel hybrid model for the estimation of surface 8 h ozone (O₃) across the remote Tibetan Plateau during 2005–2018