Literature DB >> 35079193

A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations.

Weihua Chen1, Weiwen Wang1, Shiguo Jia2, Jingying Mao1, Fenghua Yan1, Lianming Zheng1, Yongkang Wu1, Xingteng Zhang1, Yutong Dong1, Lingbin Kong1, Buqing Zhong3, Ming Chang1, Min Shao1, Xuemei Wang1.   

Abstract

China experienced worsening ground-level ozone (O3) pollution from 2013 to 2019. In this study, meteorological parameters, including surface temperature (T 2 ), solar radiation (SW), and wind speed (WS), were classified into two aspects, (1) Photochemical Reaction Condition (PRC = T 2 × SW) and (2) Physical Dispersion Capacity (PDC = WS). In this way, a Meteorology Synthetic Index (MSI = PRC/PDC) was developed for the quantification of meteorology-induced ground-level O3 pollution. The positive linear relationship between the 90th percentile of MDA8 (maximum daily 8-h average) O3 concentration and MSI determined that the contribution of meteorological changes to ground-level O-3 varied on a latitudinal gradient, decreasing from ∼40% in southern China to 10%-20% in northern China. Favorable photochemical reaction conditions were more important for ground-level O3 pollution. This study proposes a universally applicable index for fast diagnosis of meteorological roles in ground-level O3 variability, which enables the assessment of the observed effects of precursor emissions reductions that can be used for designing future control policies. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s00376-021-1257-x. © Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022.

Entities:  

Keywords:  Ground-level ozone; Meteorology synthetic index; Photochemical reaction condition; Physical dispersion capacity

Year:  2022        PMID: 35079193      PMCID: PMC8773386          DOI: 10.1007/s00376-021-1257-x

Source DB:  PubMed          Journal:  Adv Atmos Sci        ISSN: 0256-1530            Impact factor:   3.158


A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations
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