Soil and water pollution and cardiovascular disease

Nature Reviews Cardiology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 25, 2024

Language: Английский

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Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree

Chemosphere, Journal Year: 2022, Volume and Issue: 296, P. 134003 - 134003

Published: Feb. 16, 2022

Language: Английский

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Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 572 - 572

Published: May 7, 2024

Airborne particulate matter (PM) is of great concern in the modern-day atmosphere owing to its association with a variety health impacts, such as respiratory and cardiovascular diseases. Of various size fractions PM, it finer that are most harmful health, particular ultrafine particles (PM0.1; UFPs), an aerodynamic diameter ≤ 100 nm. The smaller fractions, ≤2.5 µm (PM2.5; fine particles) ≤0.1 particles), have been shown numerous linkages negative effects; however, their collection/sampling remains challenging. This review paper employed comprehensive literature methodology; 200 studies were evaluated based on rigor methodologies, including validity experimental designs, data collection methods, statistical analyses. Studies robust methodologies prioritised for inclusion. critically assesses risks associated particles, highlighting vehicular emissions significant source particulate-related effects. While coal combustion, diesel exhaust, household wood combustors’ emissions, Earth’s crust dust also pose risks, evidence suggests exposure particulates from has greatest impact human due widespread distribution contribution air pollution-related article comprehensively examines current sampling technologies, specifically focusing (UFP) ambient facilitate toxicological physiochemical characterisation efforts. discusses diverse approaches collect particulates, along endeavours assess particle concentrations across microenvironments. Following meticulous evaluation techniques, high-volume samplers Chem Vol Model 2400 High Volume Cascade Impactor low-volume like Personal Sampler (PCIS) emerge effective methods. These techniques offer advantages fractionation, efficiency, adaptability different environments, positioning them valuable tools precise quality research environmental monitoring.

Language: Английский

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The environmental factors affecting solar photovoltaic output

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 208, P. 115073 - 115073

Published: Nov. 10, 2024

Language: Английский

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Microplastic Emission from Soil-Air Interface

Environmental Science & Technology Letters, Journal Year: 2024, Volume and Issue: 11(11), P. 1207 - 1213

Published: April 12, 2024

To bridge the gap in understanding soil–air microplastic emissions, here we studied transfer mechanism of microplastics with laboratory simulations using particles varying size from 1 to 5000 μm. Our findings indicate that and shape together soil type moisture levels are major determinants enrichment ratio (ER) dust, overshadowing role polymer types. Notably, pellets larger than 20 μm do not enrich while fibers, even those as large 500–5000 length, dust. Based on our ER measurement, global distribution dust aerosol production flux, made a preliminary bottom-up assessment emissions 48[0.4–1217] kilotons/year. pioneering atmospheric flux provide insights could guide future development more precise emission inventory.

Language: Английский

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Metal(loid)s Spatial Distribution, Accumulation, and Potential Health Risk Assessment in Soil-Wheat Systems near a Pb/Zn Smelter in Henan Province, Central China

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(5), P. 2527 - 2527

Published: Feb. 22, 2022

To understand the influence of Pb/Zn smelter on surrounding environment, 110 soil and 62 wheat grain samples (62 paired samples) were collected nearby a in Jiaozuo City, Henan Province, China. The content spatial distribution metal(loid)s soil-wheat system, potential health risk via consumption grains determined. Results showed that average Pb, Cd, As, Cu, Zn, Ni 129.16, 4.28, 17.95, 20.43, 79.36, 9.42 mg/kg, respectively. Cd almost all (99.1%) exceeded national limitation China (0.6 mg/kg). Spatial analysis indicated atmospheric deposition might be main pollution source Zn soil. In addition, 0.62, 0.35, 0.10, 3.7, 35.77, 0.15 respectively, with Pb exceeding bioaccumulation factor these followed following order: (0.507) > Cu (0.239) (0.134) (0.024) (0.007) As (0.006). Health assessment noncarcinogenic children (6.78) was much higher than adults (2.83), carcinogenic is acceptable range, an value 2.43 × 10−2. These results humans who regularly consume have serious diseases.

Language: Английский

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Spatiotemporal variations and driving factors for potential wind erosion on the Mongolian Plateau

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 862, P. 160829 - 160829

Published: Dec. 9, 2022

Language: Английский

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Quantifying soil carbon sequestration from regenerative agricultural practices in crops and vineyards

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 7

Published: Jan. 31, 2024

Introduction Regenerative agriculture commonly aims to increase soil carbon sequestration, with potential benefits for human and ecosystem health, climate mitigation, biodiversity. However, the effectiveness of various regenerative practices at increasing sequestration is unclear. Methods This study identified quantified yearly rate in arable cropland vineyard ecosystems through a literature review. We examined N =345 measures across seven – agroforestry, cover cropping, legume animal integration, non-chemical fertilizer, pest management, no tillage. Results Our findings indicate that all effectively increased rate. There were statistically significant differences among practices. Combining these may further enhance sequestration. Discussion propose sequence farmers can adopt, balancing ease implementation effectiveness. To address under-studied practices, we recommend research, including long-term monitoring studies randomized controlled trials perennial systems. recommendations aim while mitigating current challenge limited sample sizes quantifying

Language: Английский

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Long-Term Spatiotemporal Characteristics and Influencing Factors of Dust Aerosols in East Asia (2000–2022)

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 318 - 318

Published: Jan. 12, 2024

The Taklamakan Desert Region (TDR) and the Gobi (GDR) in East Asia significantly impact air quality, human health, climate through dust aerosols. Utilizing MERRA-2 dataset’s long-term aerosol optical depth (DAOD) at 550 nm from 2000 to 2022, we systematically monitored spatiotemporal dynamics of DAOD. Our analysis covered annual, seasonal, monthly scales, employing geographical detector analyses investigate eight factors on DAOD distribution. Over 23-year period, interannual variability across was not pronounced, but a discernible decreasing trend observed, averaging an annual decrease −0.0002. TDR had higher values (0.337) than GDR (0.103). showed average increase 0.004, while exhibited −0.0003. spatial distribution displayed significant seasonal variations, with peak spring, although months varied between GDR. driving factor revealed that relative humidity soil moisture impacted Asia, which were identified as common for both region major sources. Complex mechanisms influenced variation DAOD, interactions variables having greater individual effects. geodetector-derived interaction q-value collective temperature (0.896) highest temporal overall pattern nonlinear enhancement trend, showing bilinear patterns. These findings contribute better understanding influencing offering theoretical basis atmospheric pollution control Asia.

Language: Английский

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Distinguishing Dominant Drivers on LST Dynamics in the Qinling-Daba Mountains in Central China from 2000 to 2020

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(4), P. 878 - 878

Published: Feb. 5, 2023

Land surface temperature (LST) is an important driving factor in the land-atmosphere energy cycle. To examine spatiotemporal patterns of LST changes and internal mechanisms driven by multiple factors, we used a trend analysis method on TRIMS data from 2000 to 2020 Qingling-Daba Mountains. The optimal parameter geographic detector (OPGD) model was detect influence twelve including elevation, precipitation, albedo, relative humidity (RH) normalized difference vegetation index (NDVI), spatial distribution LST, as well explore dominant factors affecting differentiation study area. results showed that: (1) From 2020, average annual Qinling-Daba Mountains 18.17 °C. warming obvious (0.034 °C/a), effect at nighttime (0.066 °C/a) stronger than that during daytime (0.0004 °C/a). between day night (DIF) decreasing. (2) seasonal DIF were significant, their values summer slightly larger fluctuated more other seasons. (3) Elevation main with contribution scores 62.9% 92.7% nighttime. controlling effects these generally daytime. (4) Nighttime elevation had strongest interaction precipitation (contribution score 95%), while albedo rate 83%). We revealed temporal variation since explored involved, thereby improving our understanding This can provide scientific basis for distinguishing drivers dynamics

Language: Английский

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