Author: Zhu, Jia; Chen, Lei; Liao, Hong; Yang, Hao; Yang, Yang; Yue, Xu
Title: Enhanced PM(2.5) Decreases and O(3) Increases in China During COVIDâ€19 Lockdown by Aerosolâ€Radiation Feedback Cord-id: k01yr961 Document date: 2021_1_18
ID: k01yr961
Snippet: We apply an onlineâ€coupled meteorologyâ€chemistry model (WRFâ€Chem) embedded with an improved process analysis to examine aerosolâ€radiation feedback (ARF) impacts on effectiveness of emission control due to Coronavirus Disease 2019 (COVIDâ€19) lockdown over North China Plain. Emission reduction alone induces PM(2.5) decrease by 16.3 μg m(−3) and O(3) increase by 10.2 ppbv during COVIDâ€19 lockdown. The ARF enhances PM(2.5) decrease by 2.7 μg m(−3) (16.6%) and O(3) increase by 0.8 p
Document: We apply an onlineâ€coupled meteorologyâ€chemistry model (WRFâ€Chem) embedded with an improved process analysis to examine aerosolâ€radiation feedback (ARF) impacts on effectiveness of emission control due to Coronavirus Disease 2019 (COVIDâ€19) lockdown over North China Plain. Emission reduction alone induces PM(2.5) decrease by 16.3 μg m(−3) and O(3) increase by 10.2 ppbv during COVIDâ€19 lockdown. The ARF enhances PM(2.5) decrease by 2.7 μg m(−3) (16.6%) and O(3) increase by 0.8 ppbv (7.8%). The ARFâ€induced enhancement of PM(2.5) decline is mostly attributed to aerosol chemistry process, while enhancement of O(3) rise is ascribed to physical advection and vertical mixing processes. A set of sensitivity experiments with emission reductions in different degrees indicate that the ARFâ€induced enhancements of PM(2.5) declines (O(3) rises) follow a robust linear relationship with the emissionâ€reductionâ€induced PM(2.5) decreases. The fitted relationship has an important implication for assessing the effectiveness of emission abatement at any extent.
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