The Science of The Total Environment, Год журнала: 2022, Номер 825, С. 154006 - 154006
Опубликована: Фев. 19, 2022
Язык: Английский
Environment International, Год журнала: 2022, Номер 170, С. 107606 - 107606
Опубликована: Ноя. 3, 2022
Surface ozone (O3), one of the harmful air pollutants, generated significantly negative effects on human health and plants. Existing O3 datasets with coarse spatiotemporal resolution limited coverage, uncertainties influential factors seriously restrain related epidemiology pollution studies. To tackle above issues, we proposed a novel scheme to estimate daily concentrations fine grid scale (1 km × 1 km) from 2018 2020 across China based machine learning methods using hourly observed ground-level pollutant data, meteorological satellite auxiliary data including digital elevation model (DEM), land use (LUD), normalized difference vegetation index (NDVI), population (POP), nighttime light images (NTL), identify diverse urbanization topography conditions. Some findings were achieved. The correlation coefficients (R2) between surface net solar radiation (SNSR), boundary layer height (BLH), 2 m temperature (T2M), 10 v-component (MVW), NDVI 0.80, 0.40, 0.35, 0.30, 0.20, respectively. random forest (RF) demonstrated highest validation R2 (0.86) lowest RMSE (13.74 μg/m3) in estimating concentrations, followed by support vector (SVM) (R2 = 0.75, 18.39 μg/m3), backpropagation neural network (BP) 0.74, 19.26 multiple linear regression (MLR) 0.52, 25.99 μg/m3). Our High-Resolution Dataset (CHROD) exhibited an acceptable accuracy at different spatial-temporal scales. Additionally, showed decreasing trend represented obviously heterogeneity 2020. Overall, was mainly affected activities higher regions, while controlled factors, lower regions. this study is useful valuable understanding mechanism formation improving quality dataset.
Язык: Английский
Процитировано
51
Chemosphere, Год журнала: 2022, Номер 308, С. 136316 - 136316
Опубликована: Сен. 6, 2022
Язык: Английский
Процитировано
50
Neurology, Год журнала: 2022, Номер 98(24)
Опубликована: Май 25, 2022
To characterize the association of ambient particulate matter (PM) pollution different sizes (PM ≤1 µm in aerodynamic diameter [PM1], PM2.5, and PM10) with in-hospital case fatality among patients stroke China.We collected hospitalizations due to 4 provinces China from 2013 2019. Seven-day annual averages PM prior hospitalization were estimated using bilinear interpolation residential addresses. Associations random-effects logistic regression models. Potential reducible fraction number fatalities attributed a counterfactual approach.Among 3,109,634 (mean age 67.23 years [SD 12.22]; 1,765,644 [56.78%] male), we identified 32,140 (case rate 1.03%). Each 10 µg/m3 increase 7-day average (short-term) exposure was associated increased fatality: odds ratios (ORs) 1.058 (95% CI 1.047-1.068) for PM1, 1.037 1.031-1.043) 1.025 1.021-1.029) PM10. Similar but larger ORs observed (long-term): 1.240 1.217-1.265) 1.105 1.094-1.116) 1.090 1.082-1.099) In analyses, PM10 largest potential (10% [95% 8.3-11.7] short-term 21.1% [19.1%-23%] long-term exposure), followed by PM1 PM2.5.PM is risk factor stroke-related deaths. Strategies that target reducing may improve health outcomes stroke.
Язык: Английский
Процитировано
48
JAMA Network Open, Год журнала: 2022, Номер 5(10), С. e2236003 - e2236003
Опубликована: Окт. 11, 2022
Importance Exposure to particulate matter (PM) has been associated with childhood asthma and wheeze. However, the specific associations between PM an aerodynamic equivalent diameter of 1 μm or less (ie, ), which is a contributor 2.5 potentially more toxic than , remain unclear. Objective To investigate association early-life (prenatal first year) exposure size-segregated PM, including 1-2.5 2.5-10 10 Design, Setting, Participants This cross-sectional study was based on questionnaire administered June 2019 2020 caregivers children aged 3 6 years in 7 Chinese cities (Wuhan, Changsha, Taiyuan, Nanjing, Shanghai, Chongqing, Urumqi) as second phase China, Children, Homes, Health study. Exposures during prenatal period year life. Main Outcomes Measures The main outcomes were caregiver-reported A machine learning–based space-time model applied estimate at × 1-km resolution. Concentrations calculated by subtracting from respectively. Multilevel (city child) logistic regression models assess associations. Results Of 29 418 whose completed survey (15 320 boys [52.1%]; mean [SD] age, 4.9 [0.9] years), 2524 (8.6%) ever had wheeze 1161 (3.9%) diagnosed asthma. Among all children, 18 514 (62.9%) breastfed for months 787 (2.7%) parental history atopy. total 22 250 (75.6%) mother educational level university above. 25 422 whom information about cigarette smoking collected, 576 (2.3%) who current former smoker pregnancy 7525 (29.7%) passive household smoke early Early-life significantly increased risk asthma, higher estimates per 10-μg/m increase (OR, 1.55; 95% CI, 1.27-1.89) 1.14; 1.03-1.26) 1.11; 1.02-1.20). No observed exposure, suggesting that rather contributed There significant 1.23; 1.07-1.41) 1.08; 1.01-1.16) Conclusions Relevance In this study, smaller particles, such vs larger particles results suggest mainly attributable .
Язык: Английский
Процитировано
48
The Science of The Total Environment, Год журнала: 2022, Номер 825, С. 154006 - 154006
Опубликована: Фев. 19, 2022
Язык: Английский
Процитировано
43