Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 270, P. 112775 - 112775

Published: Nov. 11, 2021

Language: Английский

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Ground-Level NO₂Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence

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

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Ground-level gaseous pollutants (NO₂, SO₂, and CO) in China: daily seamless mapping and spatiotemporal variations

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

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Himawari-8-derived diurnal variations in ground-level PM<sub>2.5</sub> pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)

Atmospheric chemistry and physics, Journal Year: 2021, Volume and Issue: 21(10), P. 7863 - 7880

Published: May 25, 2021

Abstract. Fine particulate matter with a diameter of less than 2.5 µm (PM2.5) has been used as an important atmospheric environmental parameter mainly because its impact on human health. PM2.5 is affected by both natural and anthropogenic factors that usually have strong diurnal variations. Such information helps toward understanding the causes air pollution, well our adaptation to it. Most existing products derived from polar-orbiting satellites. This study exploits use next-generation geostationary meteorological satellite Himawari-8/AHI (Advanced Himawari Imager) document variation in PM2.5. Given huge volume data, based idea gradient boosting, highly efficient tree-based Light Gradient Boosting Machine (LightGBM) method involving spatiotemporal characteristics namely space-time LightGBM (STLG) model, developed. An hourly dataset for China (i.e., ChinaHighPM2.5) at 5 km spatial resolution aerosol additional variables. Hourly estimates (number data samples = 1 415 188) are correlated ground measurements (cross-validation coefficient determination, CV-R2 0.85), root-mean-square error (RMSE) mean absolute (MAE) 13.62 8.49 µg m−3, respectively. Our model captures variations showing pollution increases gradually morning, reaching peak about 10:00 LT (GMT+8), then decreases steadily until sunset. The proposed approach outperforms most traditional statistical regression machine-learning models much lower computational burden terms speed memory, making it suitable routine monitoring.

Language: Английский

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Separating Daily 1 km PM_2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data

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

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

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

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

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

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Association of long-term exposure to ambient air pollutants with blood lipids in Chinese adults: The China Multi-Ethnic Cohort study

Environmental Research, Journal Year: 2021, Volume and Issue: 197, P. 111174 - 111174

Published: April 22, 2021

Language: Английский

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Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children

Journal of Allergy and Clinical Immunology, Journal Year: 2021, Volume and Issue: 148(3), P. 771 - 782.e12

Published: March 7, 2021

Language: Английский

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Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements

Atmospheric Environment, Journal Year: 2022, Volume and Issue: 273, P. 118953 - 118953

Published: Jan. 19, 2022

Language: Английский

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