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Open AccessArticle

A Risk Assessment for Ozone Regulation Based on Statistical Rollback

by 1,* and 2
1
Department of Statistics, Kyungpook National University, Daegu 41566, Korea
2
Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(5), 2388; https://doi.org/10.3390/app11052388
Received: 13 February 2021 / Revised: 27 February 2021 / Accepted: 4 March 2021 / Published: 8 March 2021
(This article belongs to the Section Environmental and Sustainable Science and Technology)
In environmental studies, it is important to assess how regulatory standards for air pollutants affect public health. High ozone levels contribute to harmful air pollutants. The EPA regulates ozone levels by setting ozone standards to protect public health. It is thus crucial to assess how various regulatory ozone standards affect non-accidental mortality related to respiratory deaths during the ozone season. The original rollback approach provides an adjusted ozone process under a new regulation scenario in a deterministic fashion. Herein, we consider a statistical rollback approach to allow for uncertainty in the rollback procedure by adopting the quantile matching method so that it provides flexible rollback sets. Hierarchical Bayesian models are used to predict the potential effects of different ozone standards on human health. We apply the method to epidemiologic data. View Full-Text
Keywords: hierarchical model; mortality; ozone regulatory standard; risk assessment; stochastic rollback hierarchical model; mortality; ozone regulatory standard; risk assessment; stochastic rollback
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MDPI and ACS Style

Kim, Y.; Lee, J. A Risk Assessment for Ozone Regulation Based on Statistical Rollback. Appl. Sci. 2021, 11, 2388. https://doi.org/10.3390/app11052388

AMA Style

Kim Y, Lee J. A Risk Assessment for Ozone Regulation Based on Statistical Rollback. Applied Sciences. 2021; 11(5):2388. https://doi.org/10.3390/app11052388

Chicago/Turabian Style

Kim, Yongku; Lee, Jeongjin. 2021. "A Risk Assessment for Ozone Regulation Based on Statistical Rollback" Appl. Sci. 11, no. 5: 2388. https://doi.org/10.3390/app11052388

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