Exposure Risk of Global Surface O3 During the Boreal Spring Season

Abstract

Surface ozone (O 3 ) is an oxidizing gaseous pollutant; long-term exposure to high O 3 concentrations adversely affects human health. Based on daily surface O 3 concentration data, the spatiotemporal characteristics of O 3 concentration, exposure risks, and driving meteorological factors in 347 cities and 10 major countries (China, Japan, India, South Korea, the United States, Poland, Spain, Germany, France, and the United Kingdom) worldwide were analyzed using the MAKESENS model, Moran’ I analysis, and Generalized additive model (GAM). The results indicated that: in the boreal spring season from 2015 to 2020, the global O 3 concentration exhibited an increasing trend at a rate of 0.6 μg/m 3 /year because of the volatile organic compounds (VOCs) and NOx changes caused by human activities. Due to the lockdown policies after the outbreak of COVID-19, the average O 3 concentration worldwide showed an inverted U-shaped growth during the study period, increasing from 21.9 μg/m 3 in 2015 to 27.3 μg/m 3 in 2019, and finally decreasing to 25.9 μg/m 3 in 2020. According to exposure analytical methods, approximately 6.32% of the population (31.73 million people) in the major countries analyzed reside in rapidly increasing O 3 concentrations. 6.53% of the population (32.75 million people) in the major countries were exposed to a low O 3 concentration growth environment. Thus, the continuous increase of O 3 concentration worldwide is an important factor leading to increasing threats to human health. Further we found that mean wind speed, maximum temperature, and relative humidity are the main factors that determine the change of O 3 concentration. Our research results are of great significance to the continued implementation of strict air quality policies and prevention of population hazards. However, due to data limitations, this research can only provide general trends in O 3 and human health, and more detailed research will be carried out in the follow-up. Supplementary Information The online version contains supplementary material available at 10.1007/s12403-022-00463-7.

Research on the spatial and temporal patterns of ozone concentration and population health effects in the Central Plains Urban Agglomeration from 2017 to 2020

“…In the recent years, numerous studies have investigated the changes in O 3 concentrations on a spatial and temporal scale. However, researchers are mostly concerned about the risk of human and vegetation exposure to surface O 3 on the city scale, as well as the driving factors of O 3 [ 9 ].For example, the spatiotemporal characteristics of surface O 3 concentrations are explored in China [ 10 ],the United States [ 11 ], South Korea [ 12 ],India [ 13 ] and global scale. The population exposure risk of surface O 3 is during the summer months in the United States.…”

Spatial-temporal evolution patterns and drivers of PM2.5 chemical fraction concentrations in China over the past 20 years

“…When the time series of the study data is less than 10, the MAKESENS model uses the S-test; conversely, when it is above 10, the model uses the Z-test.The time period of this study is 2000-2019; therefore, this calculations for this study were based on the Z-test. We then used Sen's method to calculate the linear trend of PM 2.5 chemical fractions concentration.The detailed calculation procedure of the Z-test and Sen's method can be found inZhou et al (2022).…”