Reply on RC1 DOI Creative Commons
Jing Wei

Published: Dec. 9, 2022

Abstract. Gaseous pollutants at the ground level seriously threaten urban air quality environment and public health. There are few estimates of gaseous that spatially temporally resolved continuous across China. This study takes advantage big data artificial-intelligence technologies to generate seamless daily maps three major ambient pollutant gases, i.e., NO2, SOµg m−3), (10.7 2 rebounded more than 2 times slower due emissions residents' increased indoor cooking atmospheric oxidation capacity. Surface reached their peak annual concentrations 21.3 ± 8.8 −3, 23.1 ± 13.3 ± 0.29 mg m−3 2013, then continuously declined over time by 12 %, 55 %, 17 %, respectively, until 2020. The declining rates were prominent 2017 sharper reductions anthropogenic but have slowed down recent years. Nevertheless, people still suffer high-frequency risk exposure eastern China, almost World Health Organization (WHO) recommended short-term guidelines (AQG) since 2018, benefiting implemented stricter “ultra-low” emission standards. reconstructed dataset will benefit future (especially short-term) pollution environmental health-related studies.

Language: Английский

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations DOI Creative Commons
Jing Wei, Zhanqing Li, Jun Wang

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(2), P. 1511 - 1532

Published: Jan. 26, 2023

Abstract. Gaseous pollutants at the ground level seriously threaten urban air quality environment and public health. There are few estimates of gaseous that spatially temporally resolved continuous across China. This study takes advantage big data artificial-intelligence technologies to generate seamless daily maps three major ambient pollutant gases, i.e., NO2, SO2, CO, China from 2013 2020 a uniform spatial resolution 10 km. Cross-validation between our observations illustrated high on basis for surface CO concentrations, with mean coefficients determination (root-mean-square errors) 0.84 (7.99 µg m−3), (10.7 0.80 (0.29 mg respectively. We found COVID-19 lockdown had sustained impacts pollutants, where recovered its normal in around 34th day after Lunar New Year, while SO2 NO2 rebounded more than 2 times slower due emissions residents' increased indoor cooking atmospheric oxidation capacity. Surface reached their peak annual concentrations 21.3 ± 8.8 m−3, 23.1 13.3 1.01 0.29 m−3 2013, then continuously declined over time by 12 %, 55 17 respectively, until 2020. The declining rates were prominent 2017 sharper reductions anthropogenic but have slowed down recent years. Nevertheless, people still suffer high-frequency risk exposure eastern China, almost World Health Organization (WHO) recommended short-term guidelines (AQG) since 2018, benefiting implemented stricter “ultra-low” emission standards. reconstructed dataset will benefit future (especially short-term) pollution environmental health-related studies.

Language: Английский

Citations

168
Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data DOI Open Access
Jing Wei, Zhanqing Li, Xi Chen

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(46), P. 18282 - 18295

Published: April 28, 2023

Fine particulate matter (PM2.5) chemical composition has strong and diverse impacts on the planetary environment, climate, health. These effects are still not well understood due to limited surface observations uncertainties in model simulations. We developed a four-dimensional spatiotemporal deep forest (4D-STDF) estimate daily PM2.5 at spatial resolution of 1 km China since 2000 by integrating measurements species from high-density observation network, satellite retrievals, atmospheric reanalyses, Cross-validation results illustrate reliability sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), chloride (Cl-) estimates, with high coefficients determination (CV-R2) ground-based 0.74, 0.75, 0.71, 0.66, average root-mean-square errors (RMSE) 6.0, 6.6, 4.3, 2.3 μg/m3, respectively. The three components secondary inorganic aerosols (SIAs) account for 21% 20% 14% (NH4+) total mass eastern China; we observed significant reductions 40-43% between 2013 2020, slowing down 2018. Comparatively, ratio SIA increased 7% across except Beijing nearby areas, accelerating recent years. SO42- been dominant component China, although it was surpassed NO3- some e.g., Beijing-Tianjin-Hebei region 2016. SIA, accounting nearly half (∼46%) mass, drove explosive formation winter haze episodes North Plain. A sharp decline concentrations an increase SIA-to-PM2.5 ratios during COVID-19 lockdown were also revealed, reflecting enhanced oxidation capacity particles.

Language: Английский

Citations

97
The underlying mechanism of PM2.5-induced ischemic stroke DOI
Zhuangzhuang Chen, Peilin Liu,

Xiaoshuang Xia

et al.

Environmental Pollution, Journal Year: 2022, Volume and Issue: 310, P. 119827 - 119827

Published: July 30, 2022

Language: Английский

Citations

46
PM2.5-mediated cardiovascular disease in aging: Cardiometabolic risks, molecular mechanisms and potential interventions DOI Creative Commons

Francis Chanda,

Kai-Xuan Lin,

Abdallah Iddy Chaurembo

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 954, P. 176255 - 176255

Published: Sept. 12, 2024

Language: Английский

Citations

8
Phenotypic aging mediates the association between blood cadmium and depression: a population-based study DOI
Yudong Wu,

Qing Wu,

Rubing Pan

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(15), P. 44304 - 44315

Published: Jan. 24, 2023

Language: Английский

Citations

11
The mediation effect of lipids, blood pressure and BMI between air pollutant mixture and atherosclerotic cardiovascular disease: The CHCN-BTH cohort study DOI Creative Commons
Bingxiao Li, Fuyuan Wen, Kuo Liu

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2023, Volume and Issue: 264, P. 115491 - 115491

Published: Sept. 18, 2023

The combine effect of air pollutant mixture on atherosclerotic cardiovascular disease (ASCVD) remain undefined. This study aims to explore the association between long-term exposure pollutants and ASCVD, focusing mediating role lipids, blood pressure BMI.This was based CHCN-BTH cohort study. annual concentrations PM2.5 constituents were sourced from in Tracking Air Pollution China (TAP) ChinaHighAirPollutants (CHAP) datasets 2014 2019. A Cox mixed-effects model used investigate associations ASCVD. combined impact assessed using Quantile g-Computation. Stratified, sensitivity, mediation analyses conducted.A total 27,134 participants aged 18-80 recruited present We found that each IQR increase PM2.5, PM1, NO2, O3, BC, SO42-, OM significantly associated with incidence hazard ratios (HRs) 95 % confidence interval (CI) 1.55 (1.35, 1.78), 1.46 (1.27, 1.67), 1.30 (1.21, 1.39), 1.66 (1.41,1.95), 2.14 (1.63, 2.83), 1.65 (1.25, 2.17) 1.92(1.52, 2.45), respectively. ASCVD 1.79 (1.46, 2.20), contributed 83.3 this effect. Mediation models suggested might be mediated through SBP, DBP, HDL-C, LDL-C, hsCRP BMI (mediation proportion range 1.3 26.1 %), Notably, HDL-C played roles 11.3 (7.0 %, 18.4), (17.7 38.1 %) 25.4 (15.4, 47.7 effects PM1 respectively.Long-term, high-level significantly an elevated risk particularly for PM2.5. Blood pressure, lipids BMI, especially may mediate

Language: Английский

Citations

10
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction DOI

Jinlin Li,

Zhou Xiao

Artificial Intelligence, Journal Year: 2025, Volume and Issue: 340, P. 104278 - 104278

Published: Jan. 2, 2025

Language: Английский

Citations

0
Associations of green and blue spaces with visual acuity in youths from Shandong Province, China: A large population-based study DOI Creative Commons

Xiaoyun Ma,

Gaohui Zhang,

Xue Liu

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 292, P. 117947 - 117947

Published: Feb. 26, 2025

Language: Английский

Citations

0
Exposure to fine particulate matter constituents and cognitive function performance, potential mediation by sleep quality: A multicenter study among Chinese adults aged 40–89 years DOI Creative Commons

Rubing Pan,

Yi Zhang, Zhiwei Xu

et al.

Environment International, Journal Year: 2022, Volume and Issue: 170, P. 107566 - 107566

Published: Oct. 5, 2022

Although exposure to fine particulate matter (PM2.5) has been associated with cognitive decline, little is known about which PM2.5 constituents are more harmful. Recent study on the association between and sleep quality prompted us propose that may mediate adverse effects of components decline. Understanding function, as well mediating role provides a future intervention target for improving function. Using data involving 1834 participants from multicenter cross-sectional in nine cities Beijing-Tianjin-Hebei (BTH) region China, we undertook multivariable linear regression analyses quantify annual moving-average its chemical function assess modifying characteristic this association. Besides, examined extent was mediated via by mediation analysis. We observed significantly negative associations an increase one interquartile range [-0.876 (95 % CI: -1.205, -0.548)], organic carbon [-0.481 -0.744, -0.219)], potassium [-0.344 -0.530, -0.157)], iron [-0.468 -0.646, -0.291)], ammonium ion [-0.125 -0.197, -0.052)] However, didn't find any individual harmful than PM2.5. Poor partially estimated associations, were explained ranging 2.28 11.99 %. Stratification showed people living areas lower greenspace susceptible specific components. Our suggests effect suffering pronounced among individuals poor quality, amplifying environmental inequalities health. Besides reducing pollution, be another measure worth considering improve cognition if our research confirmed future.

Language: Английский

Citations

15
Ground-level gaseous pollutants across China: daily seamless mapping and long-term spatiotemporal variations DOI Creative Commons
Jing Wei, Zhanqing Li, Jun Wang

et al.

Published: Sept. 19, 2022

Abstract. Gaseous pollutants at the ground level seriously threaten urban air quality environment and public health. There are few estimates of gaseous that spatially temporally resolved continuous over long periods in China. This study takes advantage big data artificial intelligence technologies to generate seamless daily maps three major pollutant gases, i.e., NO2, SO2, CO, across China from 2013 2020 a uniform spatial resolution 10 km. Cross-validation illustrated high on basis for with mean out-of-bag coefficients determination (root-mean-square errors) 0.84 (7.99 μg/m3), (10.7 0.80 (0.29 mg/m3), respectively. They have experienced significant declines then recoveries during after COVID-19 lockdown associated changes anthropogenic emissions eastern China, while surface CO recovered faster than SO2 NO2. All decreased significantly by 0.23, 2.01, 49 μg/m3 per year (p < 0.001) 2013–2020, especially agglomerations. The declining rates were larger 2013–2017 but slowed down recent years. Both areas occurrence probabilities days exceeding standards also gradually shrank weakened time, which almost disappeared 2018–2020, suggesting improvements reconstructed dataset pollutants, ChinaHighNO2, ChinaHighSO2, ChinaHighCO, will benefit future (especially short-term) pollution environmental health-related studies.

Language: Английский

Citations

4