Evaluating Policy Interventions for Air Quality During a National Sports Event with Machine Learning and Causal Framework DOI Creative Commons
Jing Guo, Ruixin Xu, Bowen Liu

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(5), P. 557 - 557

Published: May 7, 2025

Short-term control measures are often implemented during major events to improve air quality and protect public health. In preparation for the 11th National Traditional Games of Ethnic Minorities China (denoted as “NMG”), held from 8 16 September 2019 in Zhengzhou, China, authorities introduced several pollution measures, including traffic restrictions dust control. study presented herein, we applied automated machine learning-based weather normalisation combined with an augmented synthetic method (ASCM) evaluate effectiveness these interventions. Our results show that impacts NMG were not uniform, varying significantly across pollutants monitoring stations. On average, nitrogen dioxide (NO2) concentrations decreased by 8.6% those coarse particles (PM10) 3.0%. However, interventions had little overall effect on fine (PM2.5), despite clear reductions observed at site, where NO2 PM2.5 levels 7.2 5.2 μg m−3, respectively. These accounted 56.3% policy’s concentration 73.2% its site. Notably, led increase ozone (O3) concentrations. demonstrate moderate short-term intervention, emphasising necessity holistic strategies address pollutant interactions, such oxides (NOX) volatile organic compounds (VOCs), well location-specific variability achieve sustained improvements.

Language: Английский

Trends of source apportioned PM2.5 in Tianjin over 2013–2019: Impacts of Clean Air Actions DOI
Qili Dai, Jiajia Chen, Xuehan Wang

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 325, P. 121344 - 121344

Published: March 4, 2023

Language: Английский

Citations

29
Integrated Benefits of Synergistically Reducing Air Pollutants and Carbon Dioxide in China DOI

Shengyue Li,

Shuxiao Wang, Qingru Wu

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(32), P. 14193 - 14202

Published: Aug. 1, 2024

China's advancements in addressing air pollution and reducing CO2 emissions offer valuable lessons for collaborative strategies to achieve diverse environmental objectives. Previous studies have assessed the mutual benefits of climate policies control measures on one another, lacking an integrated assessment synergistic attributed refined measures. Here, we comprehensively used coupled emission inventory response models evaluate synergy degrees various pollutants China during 2013–2021. Results indicated that implemented yielded value at 6.7 (2.4–12.6) trillion Chinese Yuan. The top five contributors, accounting 55%, included promoting non-thermal power, implementing end-of-pipe technologies power plants iron steel industry, replacing residential scattered coal, saving building energy. Measures demonstrating high synergies per unit reduction (e.g., green traffic promotion) low mainly due their application, which are expected gain greater implementation prioritization future. Our findings provide insights into effectiveness limitations aimed joint control. By ranking these based synergy, guidance policy development other nations with similar needs.

Language: Английский

Citations

11
Perspectives on shipping emissions and their impacts on the surface ocean and lower atmosphere: An environmental-social-economic dimension DOI Creative Commons
Zongbo Shi, Sonja Endres, Anna Rutgersson

et al.

Elementa Science of the Anthropocene, Journal Year: 2023, Volume and Issue: 11(1)

Published: Jan. 1, 2023

Shipping is the cornerstone of international trade and thus a critical economic sector. However, ships predominantly use fossil fuels for propulsion electricity generation, which emit greenhouse gases such as carbon dioxide methane, air pollutants particulate matter, sulfur oxides, nitrogen volatile organic compounds. The availability Automatic Information System (AIS) data has helped to improve emission inventories from ship stacks. Recent laboratory, shipborne, satellite modeling studies provided convincing evidence that ship-emitted have significant impacts on atmospheric chemistry, clouds, ocean biogeochemistry. need quality protect human health mitigate climate change driven series regulations at international, national, local levels, leading rapid energy technology transitions. This resulted in major changes emissions shipping with implications their environmental impacts, but observational remain limited. Growth polar areas expected distinct these pristine sensitive environments. transition more sustainable also cause further technologies, emissions. uncertainties how future may affect composition, climate, biogeochemistry, under rapidly changing policy (e.g., targeting decarbonization), socioeconomic, contexts.

Language: Английский

Citations

18
Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019 DOI Creative Commons
Haotian Zheng,

Shengyue Li,

Yueqi Jiang

et al.

Environment International, Journal Year: 2024, Volume and Issue: 184, P. 108470 - 108470

Published: Feb. 1, 2024

From 2013 to 2019, a series of air pollution control actions significantly reduced PM2.5 in China. Control included changes activity levels, structural adjustment (SA) policy, energy and material saving (EMS) end-of-pipe (EOP) several sources, which have not been systematically studied previous studies. Here, we integrate an emission inventory, chemical transport model, health impact assessment scenario analysis quantify the contribution each action across range major sources concentrations associated mortality China from 2019. Assuming equal toxicity all estimate that PM2.5-related decreased 2.52 (95% confidence interval, 2.13–2.88) 1.94 (1.62–2.24) million deaths. Anthropogenic reductions declining baseline incidence rates contributed benefits, but population aging partially offset their impact. Among controls on power plants industrial boilers were responsible for highest reduction (∼80%), followed by processes (∼40%), residential combustion transportation (∼30%). However, considering potentially higher relative risks plant PM2.5, adverse effects avoided could be ∼2.4 times current estimation. Our sensitivity analyses indicate future estimates source-specific should incorporate variations individual source effect coefficients when available. As actions, while levels increased most SA policy emissions boilers, EOP dominated benefits except combustion. Considering potential our results suggest promoting clean enforcing more stringent iron steel industry prioritized future.

Language: Английский

Citations

9
Toward Better and Healthier Air Quality: Global PM2.5 and O3 Pollution Status and Risk Assessment Based on the New WHO Air Quality Guidelines for 2021 DOI Creative Commons
Jianhua Liu, Chao He,

Yajun Si

et al.

Global Challenges, Journal Year: 2024, Volume and Issue: 8(4)

Published: March 26, 2024

Abstract To reduce the high burden of disease caused by air pollution, World Health Organization (WHO) released new Air Quality Guidelines (AQG) on September 22, 2021. In this study, daily fine particulate matter (PM 2.5 ) and surface ozone (O 3 data 618 cities around world is collected from 2019 to 2022. Based AQG, number attainment days for average concentrations PM (≤ 15 µg m −3 O 100 approximately 10% 90%, respectively. China India exhibit a decreasing trend in highly polluted (> 75 PM. Every year over 68% 27% are exposed harmful 35 Combined with United Nations Sustainable Development Goals (SDGs), it found that more than 35% world's face ‐O compound pollution. Furthermore, exposure risks these (China, India, etc.) mainly categorized as “High Risk”, “Risk”, “Stabilization”. contrast, economically developed Safety”, “Safety”, “Deep Stabilization.” These findings indicate global implementation WHO's AQG will minimize inequitable risk

Language: Английский

Citations

8
A continuous 2011-2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: population exposure and long-term trends DOI Creative Commons
Drew C. Pendergrass, Daniel Jacob, Yujin J. Oak

et al.

Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121068 - 121068

Published: Jan. 1, 2025

Language: Английский

Citations

1
Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning DOI Creative Commons
Yuqing Qiu, Xin Li,

Wenxuan Chai

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(3), P. 1749 - 1763

Published: Feb. 7, 2025

Abstract. Ozone (O3) pollution is posing significant challenges to urban air quality improvement in China. The formation of surface O3 intricately linked chemical reactions which are influenced by both meteorological conditions and local emissions precursors (i.e., NOx volatile organic compounds, VOCs). When deteriorate, the atmosphere's capacity cleanse pollutants decreases, leading accumulation pollutants. Although a series emission reduction measures have been implemented areas, effectiveness control proves inadequate. Primarily due adverse changes conditions, effects masked. In this study, we integrated machine learning model, an observation-based positive matrix factorization model based on 4 years continuous observation data from typical site. We found that transport dispersion impact distribution concentration. During warm season, contributions concentration ranged 12.9 % 24.0 %. After normalization, sensitivity source apportionment VOCs changed. shifted towards transition regime between VOC- NOx-limited regimes during event. Vehicle exhaust became primary VOC after “removing” effect dispersion, contributing 41.8 periods. On contrary, contribution combustion decreased 33.7 25.1 Our results provided new recommendations insights for implementing evaluating areas.

Language: Английский

Citations

1
An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models DOI Creative Commons
Huang Zheng, Shaofei Kong, Shixian Zhai

et al.

npj Climate and Atmospheric Science, Journal Year: 2023, Volume and Issue: 6(1)

Published: Dec. 20, 2023

Abstract Traditional statistical methods (TSM) and machine learning (ML) have been widely used to separate the effects of emissions meteorology on air pollutant concentrations, while their performance compared chemistry transport model has less fully investigated. Using Community Multiscale Air Quality Model (CMAQ) as a reference, series experiments was conducted comprehensively investigate TSM (e.g., multiple linear regression Kolmogorov–Zurbenko filter) ML random forest extreme gradient boosting) approaches in quantifying trends fine particulate matter (PM 2.5 ) during 2013−2017. evaluation metrics suggested that can explain variations PM with highest from ML. The showed insignificant differences ( p > 0.05) for both emission-related $${{\rm{PM}}}_{2.5}^{{\rm{EMI}}}$$ PM 2.5 EMI meteorology-related components between TSM, ML, CMAQ modeling results. estimated least difference CMAQ. Considering medium computing resources low biases, method is recommended weather normalization . Sensitivity analysis further optimized hyperparameters exclusion temporal variables produce reasonable results

Language: Английский

Citations

14
Vertically resolved meteorological adjustments of aerosols and trace gases in Beijing, Taiyuan, and Hefei by using RF model DOI

Junaid Khayyam,

Pinhua Xie,

Jin Xu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174795 - 174795

Published: July 17, 2024

Language: Английский

Citations

6
Effects of a coal to clean heating policy on acute myocardial infarction in Beijing: a difference-in-differences analysis DOI Creative Commons
Martha Lee, Jie Chang, Qiuju Deng

et al.

The Lancet Planetary Health, Journal Year: 2024, Volume and Issue: 8(11), P. e924 - e932

Published: Nov. 1, 2024

Language: Английский

Citations

5