Future atmospheric circulations benefit ozone pollution control in Beijing-Tianjin-Hebei with global warming

Cao, Bufan; Yin, Zhicong

doi:10.1016/j.scitotenv.2020.140645

Cited by 29 publications

(16 citation statements)

References 23 publications

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“…Many studies have proposed that meteorological conditions are the main factors affecting the change in O 3 concentration (Cao and Yin 2020 ; Adhikari and Yin 2020 ). The results of the GAM model in the 10 countries selected for analysis indicated that maximum temperature, mean wind speed, and relative humidity play an important role in increasing the O 3 concentration.…”

Section: Resultsmentioning

confidence: 99%

Exposure Risk of Global Surface O3 During the Boreal Spring Season

et al. 2022

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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.

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Section: Resultsmentioning

confidence: 99%

Exposure Risk of Global Surface O3 During the Boreal Spring Season

et al. 2022

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“…The carbon intensity of the 1.5D scenario would be particularly SO 2 , PM 2.5 and PM 10 , mainly resulting from more energy-efficient technologies and comprehensive implementation of the ultralow emission standards. However, in view of the increasingly serious environmental problems, NOx and VOCs need to be further reduced, requiring a mix of climate change and air pollution policies (Cao and Yin, 2020).…”

Section: Output Change and Emission Intensity Change Trendsmentioning

confidence: 99%

Mutual effects of CO2 emission reduction and air pollution control policies in beijing-tianjin-hebei region

Liu

Dai

et al. 2022

Front. Environ. Sci.

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To meet the carbon neutrality target and Beautiful China goal, the co-control strategy of carbon emission and air pollution is crucial. The Beijing-Tianjin-Hebei region is a prominent cooperative development zone, which faces dual challenges of CO2 emission reduction and air pollution control. This study aims to find the co-benefit pathway for achieving both targets in Beijing-Tianjin-Hebei. Based on an innovative and integrated framework by linking the computable general equilibrium model, atmospheric environment analysis model and health impact assessment model, we analyze the mutual co-benefits of carbon reduction and air quality improvement by climate and environmental policies. The results show significant mutual effects of CO2 emission mitigation and air pollution reduction. From the regional view, air pollutants control and CO2 mitigation policies have a relatively higher synergistic emission reduction effect in Beijing and Tianjin than in Hebei. From the sector perspective, the energy supply and transport sectors have much higher co-effects with CO2 reduction, while climate change mitigation policies have the best co-effects with air pollution reduction in the energy supply and residential sectors. Moreover, the health benefits in the air pollution control scenario (6.0 BUSD) are higher than in the decarbonization scenario (5.7 BUSD). In addition, climate mitigation policies could have tremendous synergistic air pollution reductions, even the health benefits (5.7 BUSD) may be insufficient to offset the cost (18.7 BUSD) of climate policy in the current situation. In order to better achieve the dual climate and air quality targets at lower costs, two types of policies should be better coordinated in the decision-making process.

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“…Climatological studies on the relationship between the increasing global temperature and precipitation variability (Katz and Brown, 1992;Du et al, 2019;Yu and Zhai, 2021;Zhang et al, 2021) have indicated that uneven extreme floods and droughts tend to occur more frequently in the future. Comparative analysis of the different large-scale circulation patterns under the climatic background of global warming (Cao and Yin, 2020) will be conducted in this paper. Focus will be put on the characteristics of wind speed intensities and temporal variations in different largescale circulation types in the two distinct periods, while the possible reasons are beyond the scope of this study.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, there are many recent studies on the relationship between the meteorological parameter of wind and the concentration of air pollutants over Beijing and its surroundings (Chen et al, 2009;Zhang et al, 2012;Miao et al, 2017;Yin et al, 2019Yin et al, , 2020. It is found that meteorological paramters are influenced by weather systems of large and small scales (Aneja et al, 2000;Cao and Yin, 2020). Large-scale systems dominate the regional meteorological background, while local circulations also play important roles in the transports and concentrations of air pollutants.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method

et al. 2022

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Severe wind events which occur in the metropolis of Beijing in China bring major catastrophes. Characteristics of severe winter and spring wind events over Beijing during the past 40 years have been analyzed. An artificial intelligence-based method is adopted to categorize the favorable large-scale circulation patterns and dominant weather systems. Four categories are concluded and compared to each other in terms of distributions of geopotential height at 500 hPa, temperature at 500 hPa, sea level pressure and their corresponding anomalies in 1979–2019. It is found that the first category (T1) which is dominated by strong cold trough at upper levels with strong cold-core high locating at surface is the most conducive circulation pattern, while the fourth category (T4) which is controlled by weak trough and strong ridge with strong low cyclone at surface is the least one. The second and third categories, represented by T2 and T3, are under the control of strong cold trough and warm ridge at upper levels with weak high at surface, and of weak trough and strong ridge with strong low cyclone at surface, respectively. Characteristics and differences under different backgrounds of global temperatures are analyzed by separating the past 40years into two distinct periods. The decreasing trends of intensities of the trough and ridge, the temperature at 500hPa, together with the surface systems, are found to be responsible for the decrease in severe wind events in T1, T2 and T3 in the last 20 years, while T4 is distinct to the other three categories with little change in its circulation pattern, and thus continues contributing to the severe wind events over Beijing. The results found in this study with the usage of an AI-based algorithm will benefit for the operational forecasting for extreme wind events over Beijing.

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Future atmospheric circulations benefit ozone pollution control in Beijing-Tianjin-Hebei with global warming

Cited by 29 publications

References 23 publications

Exposure Risk of Global Surface O3 During the Boreal Spring Season

Exposure Risk of Global Surface O3 During the Boreal Spring Season

Mutual effects of CO2 emission reduction and air pollution control policies in beijing-tianjin-hebei region

Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method

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