A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions DOI Creative Commons
Guanjun Lin,

Hang Zhao,

Yufeng Chi

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103024 - 103024

Published: Jan. 1, 2025

Language: Английский

Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence DOI Creative Commons
Jing Wei, Song Liu, Zhanqing Li

et al.

Environmental Science & Technology, Journal Year: 2022, Volume and Issue: 56(14), P. 9988 - 9998

Published: June 29, 2022

Nitrogen dioxide (NO2) at the ground level poses a serious threat to environmental quality and public health. This study developed novel, artificial intelligence approach by integrating spatiotemporally weighted information into missing extra-trees deep forest models first fill satellite data gaps increase availability 49% then derive daily 1 km surface NO2 concentrations over mainland China with full spatial coverage (100%) for period 2019–2020 combining measurements, tropospheric columns derived from TROPOMI OMI, atmospheric reanalysis, model simulations. Our estimates have an average out-of-sample (out-of-city) cross-validation coefficient of determination 0.93 (0.71) root-mean-square error 4.89 (9.95) μg/m3. The seamless high-resolution high-quality dataset "ChinaHighNO2" allows us examine patterns fine scales such as urban–rural contrast. We observed systematic large differences between urban rural areas (28% on average) in NO2, especially provincial capitals. Strong holiday effects were found, declines 22 14% during Spring Festival National Day China, respectively. Unlike North America Europe, there is little difference weekdays weekends (within ±1 μg/m3). During COVID-19 pandemic, decreased considerably gradually returned normal levels around 72nd day after Lunar New Year which about 3 weeks longer than column, implying that former can better represent changes NOx emissions.

Language: Английский

Citations

192

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

158

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

96

Extreme Temperature Events, Fine Particulate Matter, and Myocardial Infarction Mortality DOI
Ruijun Xu, Suli Huang, Chunxiang Shi

et al.

Circulation, Journal Year: 2023, Volume and Issue: 148(4), P. 312 - 323

Published: July 24, 2023

Extreme temperature events (ETEs), including heat wave and cold spell, have been linked to myocardial infarction (MI) morbidity; however, their effects on MI mortality are less clear. Although ambient fine particulate matter (PM

Language: Английский

Citations

91

Summer O3 pollution cycle characteristics and VOCs sources in a central city of Beijing-Tianjin-Hebei area, China DOI
Yanan Guan, Xuejiao Liu,

Zhiyang Zheng

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 323, P. 121293 - 121293

Published: Feb. 15, 2023

Language: Английский

Citations

50

A review of machine learning for modeling air quality: Overlooked but important issues DOI
Dié Tang, Yu Zhan, Fumo Yang

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 300, P. 107261 - 107261

Published: Jan. 21, 2024

Language: Английский

Citations

37

Long-term ambient ozone exposure and incident cardiovascular diseases: National cohort evidence in China DOI

Lifeng Zhu,

Jiaying Fang,

Yao Yao

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 471, P. 134158 - 134158

Published: March 30, 2024

Language: Английский

Citations

18

Substantially underestimated global health risks of current ozone pollution DOI Creative Commons
Yuan Wang, Yuanjian Yang, Qiangqiang Yuan

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 2, 2025

Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% is exposed to excess for short term (> 30 days year), 94.2% suffers long-term exposure. Furthermore, severe levels are observed in Cropland areas, particularly over Asia. Importantly, ozone-attributable deaths significantly surpass previous recognition specific diseases Notably, mid-latitude Asia (30°N) western United States show high burden, contributing substantially deaths. highlights significant risks may benefit ozone-exposed future. This reveals O₃-related risks, model.

Language: Английский

Citations

3

Association between air pollution and cardiovascular disease risk in middle-aged and elderly individuals with diabetes: inflammatory lipid ratio accelerate this progression DOI Creative Commons

Chun-Yu Yan,

Guang Chen,

Yingyu Jing

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 21, 2025

Long-term exposure to air pollution significantly increases the risk of cardiovascular disease (CVD); however, association and underlying mechanisms in individuals with diabetes remain unconfirmed. We used data from China Health Retirement Longitudinal Study (CHARLS) follow 5,430 adults over a four-year period. Baseline CVD status were determined, high-resolution assess PM1, PM2.5, PM10, O3. The inflammatory lipid ratio (ILR) was calculated reflect metabolic states. A generalized linear model (GLM) employed analyze effects ILR on diabetes-related risk. prevalence 8.5% healthy population 13.8% diabetic population. Air associated an increased among individuals. For each interquartile range (IQR) increase concentrations pollutants O3, group rose by 21%, 19%, 28%, respectively. Higher values positively incidence (OR = 1.019, 95% CI: 1.001-1.037, P < 0.05), nonlinear relationship observed between levels (PNonlinear 0.0381), indicating that higher exacerbate impact Among middle-aged older diabetes, is CVD, intensifies this process. Therefore, implementing effective public health interventions reduce populations essential.

Language: Английский

Citations

2

Heat wave, fine particulate matter, and cardiovascular disease mortality: A time-stratified case-crossover study in Shenzhen, China DOI Creative Commons

Ziyang Zou,

Ruijun Xu,

Ziquan Lv

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 292, P. 117944 - 117944

Published: March 1, 2025

In the context of global warming, frequency heat wave and concentration fine particulate matter (PM2.5) have increased, more people are co-exposed to air pollution extreme heat. However, interaction between PM2.5 on cardiovascular disease (CVD) mortality remained largely unknown. We conducted a time-stratified case-crossover study 40,169 CVD deaths in Shenzhen, China 2013 2022. Meteorological data pollutants information were obtained based residential addresses from validated grid datasets. A total 21 definitions constructed using various relative temperature thresholds durations. Conditional logistic regression was used evaluate independent interactive effects exposure mortality. The odds ratios (ORs) 95 % confidence intervals (CIs) for associated with waves ranged 1.17 (95 CI: 1.001,1.36) 1.91 1.42, 2.56). For every increase 10 µg/m³ exposure, ORs CI) 1.0283 1.0162, 1.0406) 1.029 1.0169, 1.0413). There synergistic effect exposures It estimated that up 2.03 attributable levels exceeding interim target 4 World Health Organization quality guidelines (≥ 25 μg/m3), resulting 816 premature deaths. Females individuals over 75 years old vulnerable populations. Heat individually synergistically contributed increased risks Our findings indicate reducing both may yield significant health benefits prevent portion CVDs.

Language: Английский

Citations

2