Modeling of the health impacts of ambient ozone pollution in China and India

Liu, Lina; Hu, Lu; Liu, Yifan; Wang, Haikun

doi:10.1016/j.atmosenv.2021.118753

Cited by 9 publications

(1 citation statement)

References 53 publications

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“…Multiple methods can be used to estimate gridded surface ozone pollution but trade‐offs are inherent in each. There are primary four methods in the literature: (a) regional and global chemical transport models (e.g., Astitha et al., 2017; Guo et al., 2016; Liu et al., 2021, and others), (b) statistical models (e.g., Eeftens et al., 2012; Kerckhoffs et al., 2015, and others), (c) geostatistical data fusion (e.g., Chen et al., 2021; DeLang et al., 2021; Xu et al., 2016, and others), and (d) machine learning models (e.g., Liu et al., 2020; Ma et al., 2021; Requia et al., 2020; Wei et al., 2022, and others). Generally, products that use chemical transport models suffer from a high computational burden, unresolved or oversimplified physical and chemical mechanisms, and uncertainty in emission inventories.…”

Section: Introductionmentioning

confidence: 99%

Cluster‐Enhanced Ensemble Learning for Mapping Global Monthly Surface Ozone From 2003 to 2019

Liu

Zhu

Xue

et al. 2022

Geophysical Research Letters

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Surface ozone is damaging to human health and crop yields. When evaluating global air pollution risk, gridded datasets with high accuracy are desired to reflect the local variations in air pollution concentrations. Here, a cluster‐enhanced ensemble machine learning method was used to develop a new 0.5‐degree monthly surface ozone data set during 2003–2019 by combining numerous informative variables. The overall accuracy of our data set is 91.5% (90.8% for space and 92.3% for time). Historically, populations in South Asia, North Africa and Middle‐East, and High‐income North America are exposed to the highest ozone concentrations. Globally, the population weighted ozone concentration in the peak season is 47.07 ppbv. Our results highlight that ozone pollution is intensifying in some regions, and implicate air quality management is crucial to secure human health from air pollution.

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