A potential controlling approach on surface ozone pollution based upon power big data

Xin Wang; Weihua Gu; Feng Wang; Li Liu; Yu Wang; Xuemin Han; Zhouqing Xie

doi:10.1007/s42452-022-05045-5

SN Applied Sciences (May 2022)

A potential controlling approach on surface ozone pollution based upon power big data

Xin Wang,
Weihua Gu,
Feng Wang,
Li Liu,
Yu Wang,
Xuemin Han,
Zhouqing Xie

Affiliations

Xin Wang: State Grid Anhui Electric Power Research Institute
Weihua Gu: Department of Environmental Science and Technology, University of Science and Technology of China
Feng Wang: State Grid Anhui Electric Power CO. LTD
Li Liu: State Grid Anhui Electric Power CO. LTD
Yu Wang: State Grid Anhui Electric Power Research Institute
Xuemin Han: State Grid Anhui Electric Power Research Institute
Zhouqing Xie: Department of Environmental Science and Technology, University of Science and Technology of China

DOI: https://doi.org/10.1007/s42452-022-05045-5
Journal volume & issue: Vol. 4, no. 6
pp. 1 – 12

Abstract

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Article Highlights Surface ozone pollution in central China was investigated during the prevalence of the COVID-19 (2020.1–2021.5) NO2 and industrial VOCs contributing 33.72% and 21.12% to ozone formation Potential controlling pathway was proposed

Published in SN Applied Sciences

ISSN: 2523-3963 (Print); 2523-3971 (Online)
Publisher: Springer
Country of publisher: Switzerland
LCC subjects: Science; Technology
Website: https://www.springer.com/snas

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