Mega events and urban air quality improvement: A temporary show?

Li, Boying; Wang, Feng; Yin, Haitao; Li, Xinyu

doi:10.1016/j.jclepro.2019.01.116

Cited by 27 publications

(22 citation statements)

References 27 publications

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“…The G20 summit provided a unique opportunity to realize the PM2.5 mitigation potential in specific regions (Li et al, 2019a(Li et al, , 2017bMa et al, 2019;Shu et al, 2019;Yang et al, 2019). This is due to the fact that the Chinese government implemented the most historically stringent, even unsustainable, strategies to curb anthropogenic emissions during that period in Hangzhou and surrounding areas.…”

Section: Experiments Designmentioning

confidence: 99%

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Wang¹,

Yu²,

Li³

et al. 2020

Preprint

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Abstract. Ambient fine particulate matter (PM2.5) mitigation relies strongly on anthropogenic emission control measures, the actual effectiveness of which is challenging to pinpoint owing to the complex synergies between anthropogenic emissions and meteorology. Here, observational constraints on model simulations allow us to derive not only reliable PM2.5 evolution but also accurate meteorological fields. In this study, we isolate meteorological factors to achieve reliable estimates of surface PM2.5 responses to both long-term and emergency emission control measures from 2016 to 2019 over the Yangtze River Delta (YRD), China. The results show that long-term emission control strategies play a crucial role in curbing PM2.5 levels (> 14 μg/m3, 19 %), especially in the megacities and other areas with abundant anthropogenic emissions. The G20 summit hosted in Hangzhou in 2016 provides a unique and ideal opportunity involving the most stringent, even unsustainable, emergency emission control measures. For the winter time periods from 2016 to 2019, the most substantial declines in PM2.5 concentrations (~ 35 μg/m3, ~ 59 %) are thus achieved in Hangzhou and its surrounding areas. The following hotspots also emerge in megacities, especially in Shanghai (32 μg/m3, 51 %), Nanjing (27 μg/m3, 55 %), and Hefei (24 μg/m3, 44 %). Compared to the long-term policies from 2016 to 2019, the emergency emission control measures implemented during the G20 Summit achieve more significant decreases in PM2.5 concentrations (17 μg/m3 and 41 %) over most of the whole domain, especially in Hangzhou (24 μg/m3, 48 %) and Shanghai (21 μg/m3, 45 %). By extrapolation, we derive insight into the magnitude and spatial distributions of PM2.5 mitigation potentials across the YRD, revealing significantly additional rooms for curbing PM2.5 levels.

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Section: Experiments Designmentioning

confidence: 99%

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Wang¹,

Yu²,

Li³

et al. 2020

Preprint

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show abstract

“…Air pollutants mainly include particulate matter, nitrogen oxides, carbon monoxide, sulfur dioxide, etc. (Li et al, 2019a , b ). In the present study, the daily average air quality index (AQI) and the concentration data of fine particulate matter (PM 2.5 ), inhalable particulate matter (PM 10 ), sulfur dioxide (SO 2 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ) and ozone (O 3 ), are selected to measure the air pollution quality level.…”

Section: Data and Empirical Strategymentioning

confidence: 98%

“…Some cities, both at home and abroad, endeavor to take temporary control measures to ensure air quality during major events, such as the Busan Asian Games in 2002, Delhi Federal Games in 2010, Beijing Olympic Games in 2008, and Beijing APEC Conference in 2014. Several authors have conducted thorough analyses and reported improvements in urban air quality during major events (Wang et al 2012 ; Lee et al 2005 ; Wang and Xie 2009 ; Beig et al 2013 ; Liu et al 2016 ; Huang et al 2015 ; Zhao et al 2016 ; He et al 2016 ; Jia and Chen 2019 ; Li et al 2019a , b ). For example, Lee et al ( 2005 ) investigated the significant concentration decrease in PM 10 , CO, NO 2 and SO 2 in 13 air stations during the 24th Asian Games in Busan, Korea in 2002.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China

Guo

et al. 2021

Nat Hazards

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In an attempt to investigate the impact of major events on urban air quality in terms of the extent, duration and spatial scope, data on the daily air quality index and the concentrations of individual pollutants are collected in 140 cities of China from January 2, 2015, to November 28, 2017. Based on a spatial differences-in-differences, the impact of major events, such as political conferences, sporting events at the national level, on urban air quality in the dimensions of time and space are explored. It is concluded that major events not only affected the air quality of the host city, but also exercised influence on the air quality of the surrounding areas. Recommendations for mitigating the impact of major events on urban air quality have been proposed, such as establish regional atmospheric environment management system and formulate regional unified standards for pollutant discharge, industrial access and law enforcement.

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“…The phase of DCCD shifted from the harmonious development phase to the utmost development phase after 2016. Since the G20 summit, Hangzhou's air environment improved drastically, with stricter emissions of air pollutants and more steady improvement in air quality [61,62]. As shown in Figure 5, after 2016, Hangzhou surpassed Ningbo and Jiaxing in the comprehensive score of the atmospheric environment system.…”

Section: Variations In Dccd and Evaluation Of The Coordinated Patternmentioning

confidence: 99%

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

et al. 2020

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Under the dual pressure of industrial structure upgrade and atmospheric environment improvement, China, in a transition period, is facing the challenge of coordinating the relationship between the industry and the environment system to promote the construction of a beautiful China. Based on system theory and coupling coordination model, the interaction analysis framework between industrial structure (IS) and atmospheric environment (AE) was constructed. An integrated system with 24 indicators was established by the pressure-state-response (PSR) model of IS and level-quality-innovation (LQI) model of AE. Then, we analyzed trends observed in coupling coordination degree (CCD) and dynamic coupling coordination degree (DCCD) for 11 cities in Zhejiang Province, China, using statistical panel data collected from 2006 to 2017. Conclusions were as follows: (1) the 11 cities' comprehensive level of the IS system shows a trend of stable increase, yet the comprehensive level of AE demonstrated a trend of fluctuation and transition. There are significant spatial variations among cities; (2) The CCD analysis results found that Hangzhou, Ningbo, and Wenzhou take the lead in realizing the transformation from barely coordinated development to superior coordinated pattern, while other cities were still in the stage of barely coordinated development; (3) the DCCD phase of 11 cities can be roughly divided into three types: upgraded-utmost development type (only Hangzhou), stable-harmonious development type (Wenzhou, Lishui, and Zhoushan) and transitional-harmonious development type (the remaining seven cities). This means, for most cities, the contradiction between the transformation process of IS and the AE has become increasingly prominent and intensified. Finally, three necessary and sustainable strategies were proposed to environmental policy makers.

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Mega events and urban air quality improvement: A temporary show?

Cited by 27 publications

References 27 publications

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

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Mega events and urban air quality improvement: A temporary show?

Cited by 27 publications

References 27 publications

Significant wintertime PM&lt;sub&gt;2.5&lt;/sub&gt; mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Significant wintertime PM&lt;sub&gt;2.5&lt;/sub&gt; mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

Contact Info

Product

Resources

About

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls

Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China from 2016 to 2019: observational constraints on anthropogenic emission controls