DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite DOI Creative Commons
Siwei Li, Jia Xing

The Innovation Geoscience, Год журнала: 2024, Номер 2(1), С. 100061 - 100061

Опубликована: Янв. 1, 2024

<p>Accurate measurement of atmospheric chemicals is essential for understanding their impact on human health, climate, and ecosystems. Satellites provide a unique advantage by capturing data across the entire atmosphere, but measurements often lack vertical details. Here, we introduce DeepSAT4D, an innovative method that efficiently reconstructs 4D chemical concentrations from satellite data. It achieves this regenerating dynamic evolution structure, intricately linked to complex processes such as plume rise transport, using advanced deep learning techniques. Its application with Ozone Monitoring Instrument - Nitrogen Dioxide, commonly used product, demonstrates good agreement ground-based monitoring sites in China 2017 2021. Additionally, DeepSAT4D successfully captures emission reductions during 2020-pandemic shutdown. These findings emphasize DeepSAT4D��s potential enhance our complete composition improved assessments its health Earth��s ecosystem future.</p>

Язык: Английский

Ambient PM2.5 and its components associated with 10-year atherosclerotic cardiovascular disease risk in Chinese adults DOI Creative Commons
Jiawei Li,

Wenge Tang,

Sicheng Li

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2023, Номер 263, С. 115371 - 115371

Опубликована: Авг. 27, 2023

Exposure to particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) may increase the risk of 10-year atherosclerotic cardiovascular disease (ASCVD) risk. While PM2.5 is comprised various components, evidence on correlation its components ASCVD and which component contributes most remains limited.Data were derived from baseline assessments China Multi-Ethnic Cohort (CMEC). In total, 69,722 individuals aged 35-74 years included into this study. The annual average concentration (black carbon, ammonium, nitrate, sulfate, organic matter, soil particles, sea salt) estimated by satellite remote sensing chemical transport models. was calculated equations China-PAR Project (prediction for in China). relationship between single exposure predicted assessed using logistic regression model. effect joint estimated, significant contributor identified weighted quantile sum approach.Totally participants included, 95.8 % 4.2 had low high risk, respectively. Per standard deviation increases 3-year mass (odds ratio [OR] 1.23, 95 confidence interval [CI]: 1.12-1.35), black carbon (1.21, 1.11-1.33), ammonium 1.10-1.32), nitrate (1.25, 1.14-1.38), (1.29, 1.18-1.42), sulfate (1.17, 1.07-1.28), particles (1.15, 1.04-1.26) related overall (1.19, 1.11-1.28) positively associated contribution relationship. Female more significantly impacted PM2.5, compared others.Long-term mass, while salt exhibited a protective effect. Moreover, might take primary responsibility Females susceptible adverse

Язык: Английский

Процитировано

31
Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 DOI Creative Commons
Miao Cai, Jing Wei, Shiyu Zhang

и другие.

BMC Medicine, Год журнала: 2023, Номер 21(1)

Опубликована: Янв. 24, 2023

Long-term exposure to air pollution has been associated with the onset and progression of kidney diseases, but association between short-term mortality diseases not yet reported.

Язык: Английский

Процитировано

28
Predicting high-resolution air quality using machine learning: Integration of large eddy simulation and urban morphology data DOI
Shibao Wang, Jeremy McGibbon, Yanxu Zhang

и другие.

Environmental Pollution, Год журнала: 2024, Номер 344, С. 123371 - 123371

Опубликована: Янв. 23, 2024

Язык: Английский

Процитировано

17
Dynamic Traffic Data in Machine-Learning Air Quality Mapping Improves Environmental Justice Assessment DOI
Yifan Wen, Shaojun Zhang, Yuan Wang

и другие.

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Янв. 23, 2024

Air pollution poses a critical public health threat around many megacities but in an uneven manner. Conventional models are limited to depict the highly spatial- and time-varying patterns of ambient pollutant exposures at community scale for megacities. Here, we developed machine-learning approach that leverages dynamic traffic profiles continuously estimate community-level year-long air concentrations Los Angeles, U.S. We found introduction real-world data significantly improved spatial fidelity nitrogen dioxide (NO

Язык: Английский

Процитировано

14
Air pollution and risk of 32 health conditions: outcome-wide analyses in a population-based prospective cohort in Southwest China DOI Creative Commons
Hanwen Zhou, Feng Hong,

Lele Wang

и другие.

BMC Medicine, Год журнала: 2024, Номер 22(1)

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

11
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

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер 292, С. 117944 - 117944

Опубликована: Март 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.

Язык: Английский

Процитировано

2
Building the resilient food waste supply chain for the megacity: Based on the Multi-scale Progressive Fusion framework DOI

Tianrui Zhao,

Huihang Sun,

Yihe Wang

и другие.

Resources Conservation and Recycling, Год журнала: 2025, Номер 215, С. 108144 - 108144

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

1
Improved surface NO2 Retrieval: Double-layer machine learning model construction and spatio-temporal characterization analysis in China (2018–2023) DOI
Wei Wang, Bingqian Li, Biyan Chen

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 384, С. 125439 - 125439

Опубликована: Апрель 28, 2025

Язык: Английский

Процитировано

1
Associations of ambient temperature with mortality for ischemic and hemorrhagic stroke and the modification effects of greenness in Shandong Province, China DOI

Fenfen He,

Jing Wei, Yilin Dong

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 851, С. 158046 - 158046

Опубликована: Авг. 17, 2022

Язык: Английский

Процитировано

39
Association of short-term exposure to ambient PM1 with total and cause-specific cardiovascular disease mortality DOI Creative Commons
Ruijun Xu, Jing Wei, Tingting Liu

и другие.

Environment International, Год журнала: 2022, Номер 169, С. 107519 - 107519

Опубликована: Сен. 16, 2022

The acute effects of exposure to ambient particulate matter with an aerodynamic diameter ≤1 μm (PM1) on cardiovascular disease (CVD) mortality remain unclear. To investigate whether short-term PM1 was associated from total and/or cause-specific CVDs, and estimate the excess mortality. A time-stratified case-crossover study conducted among 1,081,507 CVD deaths in Jiangsu province, China 2015 2020. We assessed daily residential exposures using a validated grid dataset for each subject. Conditional logistic regression models distributed lag linear or nonlinear were employed quantify association during same day death 1 prior. Each 10 μg/m3 increase significantly 1.46 % (95 confidence interval: 1.28 %, 1.65 %), 1.95 (1.28 2.63 1.16 (0.86 1.47 1.41 (1.13 1.69 1.83 (1.37 2.30 %) increased odds hypertensive diseases (HDs), ischemic heart (IHDs), stroke, sequelae respectively (all p <0.05). No significant identified pulmonary chronic rheumatic diseases. fraction attributable 5.71 while fractions ranged 4.98 IHDs 7.46 HDs. Significantly higher observed certain adults 80 years older. found that specific CVDs may lead considerable especially older adults. Our findings highlight potential approach prevent premature by reducing provide essential quantitative data development future air quality standards PM1.

Язык: Английский

Процитировано

33