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Particulate matter (PM) emissions from anthropogenic sources contribute substantially to air pollution. The unequal adverse health effects caused by source-emitted PM emphasize the need to consider the discrepancy of PM-bound chemicals rather than solely focusing on the mass concentration of PM when making air pollution control strategies. Here, we present a dataset about chemical compositions of real-world PM emissions from typical anthropogenic sources in China, including industrial (power, industrial boiler, iron & steel, cement, and other industrial process), residential (coal/biomass burning, and cooking), and transportation sectors (on-road vehicle, ship, and non-exhaust emission). The data was obtained under the same strict quality control condition on field measurements and chemical analysis, minimizing the uncertainty caused by different study approaches. The concentrations of PM-bound chemical components, including toxic elements and PAHs, exhibit substantial discrepancies among different emission sectors. This dataset provides experimental data with informative inputs to emission inventories, air quality simulation models, and health risk estimation. The obtained results can gain insight into understanding on source-specific PMs and tailoring effective control strategies.
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http://dx.doi.org/10.1038/s41597-024-04058-6 | DOI Listing |
Environ Pollut
September 2025
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China. Electronic address:
This study investigates the vertical profiles, pollution status and ecological risks of heavy metal(loid)s contamination in three sediment cores (N21, N03, and 38002) from the North Yellow Sea (NYS), with a focus on the influence of grain size effects on sedimentary profiles. The results revealed distinct vertical distribution patterns of heavy metal(loid)s content among the three sediment cores. Enrichment Factor (EF) and Geo-accumulation Index (I) assessments identified Sb as significantly enriched, indicating anthropogenic influence, whereas Co, Cr, Cu, Ni, and Zn primarily originated from natural weathering.
View Article and Find Full Text PDFMar Environ Res
August 2025
Departamento de Biología Animal, Edafología y Geología. Facultad de Ciencias. Sección Biología. Universidad de La Laguna, Tenerife, Canary Islands, Spain.
Anthropogenic CO emissions drive ocean acidification (OA), which reduces seawater pH and carbonate ion availability, threatening calcifying organisms such as sea urchins. This study examines the long-term effects of OA on Arbacia lixula using a natural volcanic CO vent at Fuencaliente, La Palma (Canary Islands) as an analogue of future conditions. We analyzed the external morphology, skeletal strength, mineralogy, and growth of A.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
Department of Science and Environmental Studies, The Education University of Hong Kong, New Territories, Hong Kong; State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Kowloon, Hong Kong. Electronic address:
Climate change and anthropogenic pressures alter phytoplankton phenology, distribution, and bloom frequency. Healthy phytoplankton communities are crucial for biogeochemical processes, blue carbon sequestration, and climate change mitigation. By employing high-throughput 18S V4 rRNA metabarcoding, we addressed the need for profiling phytoplankton community and response mechanisms in urbanized coastal ecosystems.
View Article and Find Full Text PDFPLoS One
September 2025
School of Animal and Comparative Biomedical Sciences, College of Agriculture and Life Sciences, University of Arizona, Tucson, Arizona, United States of America.
The Gram-negative bacterium Campylobacter jejuni is part of the commensal gut microbiota of numerous animal species and a leading cause of bacterial foodborne illness in humans. Most complete genomes of C. jejuni are from strains isolated from human clinical, poultry, and ruminant samples.
View Article and Find Full Text PDFEnviron Res
September 2025
Department of Environment and Energy, Sejong University, Seoul 05006, South Korea. Electronic address:
Identifying the sources of sedimentary organic matter (OM) is essential for understanding pollution dynamics and guiding effective management in estuarine environments. This study proposes a novel and transferable source tracking framework that integrates Fourier transform infrared (FTIR) and fluorescence spectroscopy with a principal component analysis-absolute principal component score-multiple linear regression (PCA-APCS-MLR) receptor model to apportion OM sources in surface sediments across four South Korean estuaries with contrasting land use. Five new infrared-based indices (IRIs), developed from diagnostic FTIR absorbance features of water-extractable organic matter (WEOM), were designed to capture source-specific functional group compositions linked to terrestrial, synthetic, and petroleum-derived OM.
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