Atmospheric black carbon (BC) particles play an important role in air pollution, climate change, and human health. Evaluating BC's impacts by model simulation requires an understanding of the distribution of other aerosol species between those containing BC and those free of BC particles during the atmospheric aging process. Previous studies observed a large variability in the mass fraction of BC-containing particles in PM (), complicating the determination of their impacts. In this work, we conducted field observations in various polluted environments across China for process-level understanding of . We find that the variability in , ranging from 10 to 90%, can be elucidated by the concept of atmospheric oxidation capacity (AOC). The contrast between observations of during haze events is determined by whether the initial aging of freshly emitted BC is limited by daytime AOC levels. We quantify and parametrize by resolving BC aging under different AOC conditions, indicating efficient formation of secondary aerosol on BC-containing particles when daytime-average concentrations of O (i.e., O + NO) exceed 80 μg m. Our study provides valuable insights into BC mixing state representations under different environments, facilitating accurate evaluation of BC's impacts in atmospheric models.
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http://dx.doi.org/10.1021/acs.est.5c00675 | DOI Listing |
Atherosclerosis
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University Medical Center Mainz, Department of Cardiology at the Johannes Gutenberg University, Germany; German Cardiovascular Research Center (DZHK), Partner Site Rhine Main, Mainz, Germany.
Soil and water pollution represent significant threats to global health, ecosystems, and biodiversity. Healthy soils underpin terrestrial ecosystems, supporting food production, biodiversity, water retention, and carbon sequestration. However, soil degradation jeopardizes the health of 3.
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March 2025
National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand; School of Science, Mae Fah Luang University, Chiang Rai, Thailand; Center of Chemical Innovation for Sustainability (CIS), Mae Fah Luang University, Chiang Rai, Thailand. Electronic address:
Understanding the emissions and atmospheric impact of biogenic volatile organic compounds (BVOCs) in subtropical forests remains limited despite their role in secondary pollutant formation. This study presents the first comprehensive BVOC dataset from the Huai Hong Khrai subtropical forest, Northern Thailand, during the dry season (March 4-9, 2024). Using thermal desorption gas chromatography-mass spectrometry (TD-GC-MS), we identified 45 BVOCs, dominated by monoterpenes, sesquiterpenes, and oxygenated derivatives.
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March 2025
Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, V6T 1Z4, Canada.
The long-range transport of naturally occurring and anthropogenic aerosols originating from Asian deserts and megacities, respectively, can have a significant impact on the biogeochemical cycling of metals in the Fe-limited, high nutrient-low chlorophyll (HNLC) region of the northeast (NE) subarctic Pacific Ocean. These aerosols can deposit essential (e.g.
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Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
Quantitatively assessing the origins of aerosol zinc (Zn) is crucial for understanding of the global atmospheric Zn cycle and for formulating targeted policies to mitigate anthropogenic Zn emissions. Zn isotope ratios (denoted as δ⁶⁶Zn) serve as powerful tools for constraining the origins of aerosol Zn. This review comprehensively compiles an δ⁶⁶Zn (relative to Lyon JMC Zn standard) dataset (n = 207) for multi-sized aerosols observed exclusively in the Northern Hemisphere, encompassing diverse atmospheric environments, including urban areas and remote deserts, glacier, and ocean.
View Article and Find Full Text PDFMar Pollut Bull
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Laoshan Laboratory, Qingdao 266237, China; College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. Electronic address:
The combined impact of multiple human activities is the primary driver of coastal ecosystem degradation, and comprehending its mechanisms is essential for developing adaptive management strategies. A coastal ecosystem model coupling multiple human activities, including runoff discharge, reclamation, mariculture, and atmospheric deposition, was developed using the Regional Ocean Modeling System (ROMS) coupled with the Carbon, Silicate, and Nitrogen Ecosystem (CoSiNE) model. The model performance was rigorously evaluated in the Bohai Sea as the study area.
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