Winter snow from four glacial sites on Svalbard was analyzed for atmospheric deposition of 36 organochlorine pesticides (OCPs) and 7 industrial compounds (OCICs) by GC-high-resolution MS. Thirteen of the OCPs and all OCICs were detected at all sites. Sampling sites are 230 km apart from west to east, but are at varying elevations, ranging from 700 to 1202 m a.s.l. Total OCP flux was greater than total OCIC at all sites and was 5 times greater at Lomonosovfonna, and 3 times greater at Austfonna, the most easterly site. Chlorpyrifos dominated OCP flux at Lomonosovfonna (81.7 pg cm yr) and Kongsvegen (60.6 pg cm yr), and at Austfonna, but not at Holtedahlfonna where dieldrin dominated. -chlordane was a major contributor to OCPs. These three pesticides comprised at least 50% of total OCP at each site. OCIC flux was dominated by pentachloroanisole (PCA) at Lomonosovfonna (23.5 pg cm yr) and Kongsvegen (14.1 pg cm yr). PCA and hexachlorobenzene comprised at least 63% of all OCICs at each site. Air mass frequency from likely source areas showed that Austfonna had the most frequent long-distance air flow, but showed lower amounts of chlorpyrifos and PCA, suggesting local sources of these compounds to other sites.
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http://dx.doi.org/10.1021/acs.est.0c01537 | DOI Listing |
Glob Chang Biol
December 2024
Stockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Anthropogenic nitrogen (N) deposition is unequally distributed across space and time, with inputs to terrestrial ecosystems impacted by industry regulations and variations in human activity. Soil carbon (C) content normally controls the fraction of mineralized N that is nitrified (ƒ), affecting N bioavailability for plants and microbes. However, it is unknown whether N deposition has modified the relationships among soil C, net N mineralization, and net nitrification.
View Article and Find Full Text PDFJ Environ Radioact
December 2024
Belgian Nuclear Research Centre (SCK CEN), Boeretang 200, 2400, Mol, Belgium.
A soil-vegetation-atmospheric transfer (SVAT) model for radon and its progeny is presented to improve process-level understanding of the role of forests in taking-up radionuclides from soil radon outgassing. A dynamic system of differential equations couples soil, tree (Scots pine) and atmospheric processes, treating the trees as sources, sinks and conduits between the atmosphere and the soil. The model's compartments include a dual-layer soil column undergoing hydrological and solute transport, the tree system (comprising roots, wood, litter, and foliage) and the atmosphere, with physical processes governing the transfers of water and radon products between these compartments.
View Article and Find Full Text PDFInorg Chem
December 2024
Laboratory of Complex Heterostructures and Multifunctional Materials, National Institute of Materials Physics, Atomistilor 405A, Magurele 077125, Romania.
CuZnSnSe (CZTSe) is a promising material for thin-film solar cells due to its suitable band gap, high absorption coefficient, and composition of earth-abundant and nontoxic elements. In this study, we prepared CZTSe thin films from Cu/SnSe and ZnSe stacks using a two-step annealing process. Initially, Cu-Sn-Se (CTSe) films were synthesized by sequential deposition and annealing of Cu and SnSe precursors in either a selenium (Se) or tin-selenium (Sn+Se) atmosphere.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Key Laboratory of Global Change and Marine Atmospheric Chemistry, MNR, Xiamen 361001, China.
Accurately assessing the dry deposition fluxes of inorganic nitrogen aerosol (aerosol-IN) is crucial for mitigating the ecological damage caused by excessive nitrogen in oceanic equilibria. We developed a dry deposition model to assess the dry deposition fluxes of aerosol-IN into Chinese offshore areas over a decade, with the range of 2.81 × 10-1.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Shaanxi Environmental Monitoring Center, Xi'an 710006, China.
To identify the spatial distribution patterns and assess the ecological risks associated with soil heavy metal pollution in the southern region of Hunan Province, a total of 362 surface soil samples were collected from the studied area. This study employed multivariate statistics and geographic information systems (GIS) to investigate the spatial distribution pattern of soil metals (Cd, Hg, As, Pb, Zn, Ni, Mn, Tl, and Sb). Furthermore, the pollution sources and source-specific ecological risk of heavy metals were quantified by combining the positive matrix factorization (PMF) model and the comprehensive ecological risk index model.
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