Analysis of Synergistic Changes in PM2.5 and O3 Concentrations Based on Structural Equation Model Study DOI Creative Commons
Zhangwen Su, Liming Yang, Yimin Chen

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1374 - 1374

Опубликована: Ноя. 14, 2024

Given the increasing importance of effectively identifying synergistic changes between PM2.5 and O3 comprehensively analyzing their impact on air quality management in China, we employ Sen+Mann–Kendall (Sen+M-K) trend test this study to examine temporal spatial variation trends Yangtze River Delta (YRD), from 2003 2020. We identified regions where these pollutants exhibited established pathways potential drivers, using geographically weighted random forest algorithms structural equation modeling. The results revealed as follows: (1) Overall, concentrations show a decreasing trend, while exhibit an YRD. Analysis combined indicates that approximately 95% area displays opposing for O3, with only about 4% southern region showing both pollutants. (2) Drought average temperature are main drivers areas experiencing changes. Their effects alleviate aggregation reduce formation VOCs, indirectly reducing generation negative effect concentration may indicate existence nonlinear complex interaction drivers. NOx VOCs play important dual roles conversion pollutants, although overall is smaller than meteorological factors. They produce significant indirect through other human factors, further affecting O3. In without coordinated changes, factors remains unchanged, relationship two anthropogenic emission sources complex, different directions levels involved. This provides detailed insights into YRD offers scientific basis environmental authorities develop more comprehensive targeted strategies balancing control pollution.

Язык: Английский

Impacts of meteorological and precursor emission factors on PM2.5 and O3 from 2019 to 2022: Insights from multiple perspectives DOI
Decai Gong,

Ning Du,

Li Wang

и другие.

Atmospheric Research, Год журнала: 2025, Номер unknown, С. 107933 - 107933

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Spatial-temporal analysis of urban air pollution related exposure and health impacts: Driving human-centered regulation and control DOI

Zeliang Bian,

Chen Ren, Dawei Wang

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102161 - 102161

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

5
Observational study of the regional PM2.5–O3 pollution in the Yangtze River Delta region: Vertical distribution, temporal evolution and comparison of different pollution types DOI
Yulin Wang, Honglei Wang, Shuangshuang Shi

и другие.

Atmospheric Environment, Год журнала: 2025, Номер unknown, С. 121072 - 121072

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation DOI

Xinyuan Lin,

Yangbin Dong,

Z.K. Teng

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 965, С. 178578 - 178578

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

0
Estimation of Near-Surface High Spatiotemporal Resolution Ozone Concentration in China Using Himawari-8 AOD DOI Creative Commons

Yixuan Wang,

Chongshui Gong, Li Dong

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 528 - 528

Опубликована: Фев. 4, 2025

Near-surface ozone is a secondary pollutant, and its high concentrations pose significant risks to human plant health. Based on an Extra Tree (ET) model, this study estimated near-surface with the spatiotemporal resolution based Himawari-8 aerosol optical depth (AOD) data meteorological variables from 1 January 2016 31 December 2020. The SHapley Additive exPlanation (SHAP) method was employed evaluate contribution of AOD factors concentration. results indicate that (1) ET model achieves sample-based cross-validation R2 0.75–0.87 RMSE (μg/m3) 17.96–20.30. coefficient determination (R2) values in spring, summer, autumn, winter are 0.81, 0.80, 0.87, 0.75, respectively. (2) Higher temperature boundary layer heights were found positively contribute concentration, whereas higher relative humidity exerted negative influence. (3) From 11:00 15:00 (Beijing time, UTC+08:00), concentration increases gradually, highest occurring followed by spring. This has obtained spatial temporal data, offering valuable insights for development fine-scale pollution prevention control strategies.

Язык: Английский

Процитировано

0
Contribution and Mechanisms of BVOCs Emitted From a Typical Large Lake With Algal Bloom to O3 Levels in Lakeside Urban Areas DOI Creative Commons
Min Shao,

Yajing Wei,

Shun Lv

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2025, Номер 130(4)

Опубликована: Фев. 24, 2025

Abstract Lakes near developed cities often experience algal blooms due to eutrophication, leading odor and biogenic emissions that can potentially interfere with the formation of air pollutants such as O 3 around these lakes. However, impact its pathways remain poorly understood. This study investigates contributions volatile organic compound (BVOC) from Lake Taihu in surrounding regions using a numerical approach. Composite analysis, case studies, process analysis reveal BVOC increase hourly near‐surface concentrations, maximum rise 25.5 μg m −3 , improving model performance. The influence lake is large on northwest side Taihu, primarily determined by spatial emission patterns dominant wind fields. development planetary boundary layer, particularly thermal internal enhanced breeze play important roles increasing levels over land, whereas variations temperature minor role. Vertical cross‐sections show interactions between land‐lake breezes background fields are critical for transport, surface concentrations areas. Additionally, intensify both daytime nighttime gas‐phase chemical consuming nitrates producing additional within lower troposphere. highlights importance local circulations pollution, emphasizing need comprehensive pollution control strategies lakeside cities.

Язык: Английский

Процитировано

0
Comparative study on the impact of road traffic and residential natural gas heating on indoor-outdoor NO2 concentration in Chinese urban areas DOI
Chongyang Zhang, Jingguang Li, Fan Liu

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер unknown, С. 111479 - 111479

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1
Research on Evolution and Recommendations of China’s PM2.5 and O3 Pollution Control Policies under the Carbon Peak and Carbon Neutrality Targets DOI Open Access

Yue-Cheng Jian,

Yanshan Gao, Xinyu Cao

и другие.

Sustainability, Год журнала: 2024, Номер 16(15), С. 6641 - 6641

Опубликована: Авг. 3, 2024

In recent years, the issue of PM2.5 and O3 pollution in China has gradually become a hot topic air control. Powerful, precise, clear policies are important to guide efficient control pollution. However, research on is very limited. Moreover, these reports have failed identify all specific characteristics China, leading inefficient Therefore, based external features internal structures relevant policy documents, this paper conducts detailed bibliometric analysis elucidate evolution China. The results reveal following: (1) exhibit characteristic “top-down cross-level response lag”, transitioning from individual pollutant coordinated (2) Ministry Environmental Protection Ecology Environment been two major issuers China’s government, focusing “Technology” “Monitoring”, respectively. aforementioned mainly implemented by local governments, with limited interregional cooperation but an overemphasis enterprise emergency systems. (3) terms instruments, supply- environment-oriented instruments predominant, whereas demand-oriented inadequate. it suggested utilize synergistic effect reduction carbon mitigation achieve goal “dual carbon” strategy, enhance public participation strengthen among diverse stakeholders, cross-regional overcome governance barriers, reasonably optimize use form effective combination instruments.

Язык: Английский

Процитировано

0
Analysis of Synergistic Changes in PM2.5 and O3 Concentrations Based on Structural Equation Model Study DOI Creative Commons
Zhangwen Su, Liming Yang, Yimin Chen

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1374 - 1374

Опубликована: Ноя. 14, 2024

Given the increasing importance of effectively identifying synergistic changes between PM2.5 and O3 comprehensively analyzing their impact on air quality management in China, we employ Sen+Mann–Kendall (Sen+M-K) trend test this study to examine temporal spatial variation trends Yangtze River Delta (YRD), from 2003 2020. We identified regions where these pollutants exhibited established pathways potential drivers, using geographically weighted random forest algorithms structural equation modeling. The results revealed as follows: (1) Overall, concentrations show a decreasing trend, while exhibit an YRD. Analysis combined indicates that approximately 95% area displays opposing for O3, with only about 4% southern region showing both pollutants. (2) Drought average temperature are main drivers areas experiencing changes. Their effects alleviate aggregation reduce formation VOCs, indirectly reducing generation negative effect concentration may indicate existence nonlinear complex interaction drivers. NOx VOCs play important dual roles conversion pollutants, although overall is smaller than meteorological factors. They produce significant indirect through other human factors, further affecting O3. In without coordinated changes, factors remains unchanged, relationship two anthropogenic emission sources complex, different directions levels involved. This provides detailed insights into YRD offers scientific basis environmental authorities develop more comprehensive targeted strategies balancing control pollution.

Язык: Английский

Процитировано

0