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PM pollution has gradually attracted people's attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM concentrations is more complicated, but their relative individual impact on different emission sectors remains unclear. With the aid of the geographic detector model (GeoDetector), this study evaluated the impacts of anthropogenic emissions from different sectors on the PM concentrations of major cities in China. The results indicated that the influence of anthropogenic emissions factors with different emission sectors on PM concentrations exhibited significant changes at different spatial and temporal scales. Residential emissions were the dominant driver at the national annual scale, and the NO of residential emissions explained 20% ( = 0.2) of the PM concentrations. In addition, residential emissions played the leading role at the regional annual scale and during most of the seasons in northern China, and ammonia emissions from residents were the dominant factor. Traffic emissions play a leading role in the four seasons for MUYR and EC in southern China, MYR and NC in northern China, and on a national scale. Compared with primary particulate matter, secondary anthropogenic precursors have a more important effect on PM concentrations at the national or regional annual scale. The results can help to strengthen our understanding of PM pollution, improve PM forecasting models, and formulate more precise government control policy.
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http://dx.doi.org/10.3390/ijerph182010869 | DOI Listing |
Mar 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 PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Biology, Stanford University, Stanford, CA 94305.
Climate change is expected to pose significant threats to public health, particularly vector-borne diseases. Despite dramatic recent increases in dengue that many anecdotally connect with climate change, the effect of anthropogenic climate change on dengue remains poorly quantified. To assess this link, we assembled local-level data on dengue across 21 countries in Asia and the Americas.
View Article and Find Full Text PDFBMJ Lead
September 2025
Economist Impact, London, England, UK.
Climate change driven by anthropogenic greenhouse gas (GHG) emissions represents an immediate and grave threat to human health and survival. Sea level rise, altered weather patterns and increasingly frequent and severe extreme weather events can damage health directly (eg, injury, heat stress, altered aeroallergen and particulate exposure). They also bring indirect health impacts through altered patterns of zoonotic and vectorborne diseases, disruption of food systems and downstream social consequences (economic collapse, mass migration and conflict).
View Article and Find Full Text PDFMar Pollut Bull
September 2025
Laboratório de Biogeoquímica Costeira, Instituto de Ciências do Mar, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil.
Mercury (Hg) emissions from both natural and anthropogenic sources influence Hg levels in the biota of a given region. Tropical regions, such as those in the Southwestern Atlantic (SWA) and the Eastern Pacific (EP) are particularly interesting due to differences in natural Hg sources, which may impact Hg levels in marine organisms, including sea turtles. In the EP, the Circum-Pacific Belt is a significant natural source of Hg, while natural Hg sources in the SWA are negligible.
View Article and Find Full Text PDF