Factors driving changes in surface ozone in 44 coastal cities in China DOI
Xiaoyong Liu, Jun Yan, Zifa Wang

et al.

Air Quality Atmosphere & Health, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 16, 2023

Language: Английский

Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 DOI Creative Commons
Huang Zheng, Shaofei Kong, Jihoon Seo

et al.

Environment International, Journal Year: 2023, Volume and Issue: 183, P. 108361 - 108361

Published: Nov. 30, 2023

Due to the implementation of air pollution control measures in China, quality has significantly improved, although there are still additional issues be addressed. This study used long-term trends pollutants discuss achievements and challenges further improving China. The Kolmogorov-Zurbenko (KZ) filter multiple-linear regression (MLR) were quantify meteorology-related emission-related from 2014 2022 KZ analysis showed that PM2.5 decreased by 7.36 ± 2.92 % yr−1, while daily maximum 8-h ozone (MDA8 O3) an increasing trend with 3.71 2.89 yr−1 decrease increase MDA8 O3 primarily attributed changes emission, relative contribution 85.8% 86.0%, respectively. Meteorology variations, including increased ambient temperature, boundary layer height, reduced humidity, also contributed reduction enhancement O3. exhibited continuous increase, respectively, 2022, variation rates slowed during 2018-2020 compared 2014-2017, highlighting quality, particularly simultaneously reducing recommends NH3 emissions agriculture sector rural areas transport urban levels. Addressing requires precursor gases based on site-specific atmospheric chemistry considerations.

Language: Английский

Citations

16
The Analysis of Ozone Pollution in Urban Agglomerations of the Sichuan Basin Based on the Scale Decomposition-Synthesis Method DOI
Fangfei Liu, Yu Chen, Xiaojun Li

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121121 - 121121

Published: Feb. 1, 2025

Language: Английский

Citations

0
Development of data-driven estimation models of village carbon emissions by built form factors: The study in Huaihe River Basin, China DOI
Zhixin Li, Siyao Wang, Hong Zhang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112846 - 112846

Published: March 1, 2025

Language: Английский

Citations

0
Differential response of various pollutant-meteorology factors on O3 in key regions of China: Based on multiple methods and datasets DOI
Xiaoqi Wang,

Yiqing Kang,

Wenjiao Duan

et al.

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(5), P. 102086 - 102086

Published: Feb. 15, 2024

Language: Английский

Citations

2
Quantifying the scale-dependent relationships of PM2.5 and O3 on meteorological factors and their influencing factors in the Beijing-Tianjin-Hebei region and surrounding areas DOI

Shuqi Wu,

Xing Yan, Jiaqi Yao

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 337, P. 122517 - 122517

Published: Sept. 5, 2023

Language: Английский

Citations

6
Driving Forces of Meteorology and Emission Changes on Surface Ozone in the Huaihe River Basin, China DOI Open Access
Xiaoyong Liu,

Hui Gao,

Xiangmin Zhang

et al.

Water Air & Soil Pollution, Journal Year: 2023, Volume and Issue: 234(6)

Published: May 27, 2023

Language: Английский

Citations

4
Fine particulate matter and ozone variability with regional and local meteorology in Beijing, China DOI

Shreya Guha,

Ting Zhang, Patrick L. Kinney

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 338, P. 120793 - 120793

Published: Sept. 4, 2024

Language: Английский

Citations

1
Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China DOI Creative Commons
Jiqiang Niu, Hongrui Li, Xiaoyong Liu

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1499 - 1499

Published: Dec. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Language: Английский

Citations

0
Factors driving changes in surface ozone in 44 coastal cities in China DOI
Xiaoyong Liu, Jun Yan, Zifa Wang

et al.

Air Quality Atmosphere & Health, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 16, 2023

Language: Английский

Citations

0