Literature DB >> 30573093

Seasonal variation in surface ozone and its regional characteristics at global atmosphere watch stations in China.

Ningwei Liu1, Weili Lin2, Jianzhong Ma3, Wanyun Xu4, Xiaobin Xu4.   

Abstract

We investigated the seasonal and spatial ozone variations in China by using three-year surface ozone observation data from the six Chinese Global Atmosphere Watch (GAW) stations and tropospheric column ozone data from satellite retrieval over the period 2010-2012. It is shown that the seasonal ozone variations at these GAW stations are rather different, particularly between the western and eastern locations. Compared with western China, eastern China has lower background ozone levels. However, the Asian summer monsoon (ASM) can transport photochemical pollutants from the southern to the northern areas in eastern China, leading to a northward gradual enhancement of background ozone levels at the eastern GAW stations. Over China, the tropospheric column ozone densities peak during spring and summer in the areas that are directly and/or indirectly affected by the ASM, and the peak time lags from the south to the north in eastern China. We also investigated the regional representativeness of seasonal variations of ozone at the six Chinese GAW stations using the yearly maximum tropospheric column month as indicator. The results show that the seasonal variation characteristics of ozone revealed by the Chinese GAW stations are typical, with each station having a considerable large surrounding area with the ozone maximum occurring at the same month. Ozone variations at the GAW stations are influenced by many complex factors and their regional representativeness needs to be investigated further in a broader sense.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  GAW stations; Regional representativeness; Seasonal variations; Surface ozone; Tropospheric ozone column

Mesh:

Substances:

Year:  2018        PMID: 30573093     DOI: 10.1016/j.jes.2018.08.009

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


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