FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2969743007> ?p ?o ?g. }

• W2969743007 endingPage "113089" @default.
• W2969743007 startingPage "113089" @default.
• W2969743007 abstract "The agricultural land-atmospheric dustfall-plant system around the mining area is at high risks of heavy metal pollution caused by mining-smelting activities. In this study, 118 samples (including rhizospheric soils, background soils, soil-forming parent rocks, crops, vegetables, medicinal plants and atmospheric dustfall) were collected nearby Tongling Cu-Fe-Au mining area, Eastern China. We studied the concentrations, migration, sources, and health risks through consumption of two main crops (corn and rice), six kinds of vegetables, and medicinal plants (Fengdan, Paeonia ostii ) for six metal elements (Cu, Zn, Cr, Cd, Pb and Hg). Results revealed Cr and Cd in soils, and Cd, Cr, Pb, Cu and Zn in dustfall showed a relatively high contamination degree. The mean contents of Cr and Pb in corn kernels, as well as Cd, Cr and Pb in rice grains and all vegetables, and Cr in Fengdan cortex moutan exceeded the corresponding food safety limits in China. The transfer capability of Cr in corn kernels and rice grains, Pb in edible vegetables, and Cd in cortex moutan were the strongest, respectively. Health risk assessment results showed Cr had the greatest non-carcinogenic risk, followed by Pb and Cd. The results of pearson's correlation analysis (CA), hierarchical cluster analysis (HCA), and principal component analysis (PCA) indicated Zn-Cr, Pb and Cd-Cu-Hg in the plants might derive from different geochemical end-members. Source apportionment based on lead isotope showed that mining-smelting activities were the major source of Pb in atmospheric dustfall and agricultural soils, with the average contribution rates of 66% and 50%, respectively. Vehicle emissions from diesel fuels (50%–68%) and mining-smelting activities (16%–25%) contributed mainly to Pb accumulation in plants. Hence, our study suggested the accumulations of Pb in plants might be mainly from the direct foliar uptake of atmospheric Pb related to vehicle emissions and mining-smelting activities. • Cr and Cd in soils and dustfall were all present at relatively high levels. • Cr, Cd, and Pb have potential health risks via consumption of edible plants. • Sources of Cr and Cd in soil-dustfall-plant system are different. • Diesel vehicle emission was the dominant Pb source in plants. The research expands the application of lead isotope in tracing the sources of heavy metals in the more complex soil-dustfall-plant system for the mine environment." @default.
• W2969743007 created "2019-08-29" @default.
• W2969743007 creator A5011236120 @default.
• W2969743007 creator A5015107909 @default.
• W2969743007 creator A5018892762 @default.
• W2969743007 creator A5038864140 @default.
• W2969743007 creator A5039374096 @default.
• W2969743007 creator A5070196022 @default.
• W2969743007 creator A5072496848 @default.
• W2969743007 creator A5081721128 @default.
• W2969743007 creator A5084754656 @default.
• W2969743007 date "2019-11-01" @default.
• W2969743007 modified "2023-10-17" @default.
• W2969743007 title "Source apportionment of heavy metal and their health risks in soil-dustfall-plant system nearby a typical non-ferrous metal mining area of Tongling, Eastern China" @default.
• W2969743007 cites W1525815373 @default.
• W2969743007 cites W1966724263 @default.
• W2969743007 cites W1967958852 @default.
• W2969743007 cites W1974285157 @default.
• W2969743007 cites W1975884460 @default.
• W2969743007 cites W1980540628 @default.
• W2969743007 cites W1985139545 @default.
• W2969743007 cites W2002733482 @default.
• W2969743007 cites W2010649317 @default.
• W2969743007 cites W2012562439 @default.
• W2969743007 cites W2016820545 @default.
• W2969743007 cites W2017663841 @default.
• W2969743007 cites W2017945009 @default.
• W2969743007 cites W2030063047 @default.
• W2969743007 cites W2033070761 @default.
• W2969743007 cites W2044919336 @default.
• W2969743007 cites W2115128296 @default.
• W2969743007 cites W2143953506 @default.
• W2969743007 cites W2154497487 @default.
• W2969743007 cites W2156116789 @default.
• W2969743007 cites W2211051084 @default.
• W2969743007 cites W2330965971 @default.
• W2969743007 cites W2434100867 @default.
• W2969743007 cites W2528579507 @default.
• W2969743007 cites W252937156 @default.
• W2969743007 cites W2613642979 @default.
• W2969743007 cites W2744519944 @default.
• W2969743007 cites W2769397559 @default.
• W2969743007 cites W2775846497 @default.
• W2969743007 cites W2784118457 @default.
• W2969743007 cites W2808870768 @default.
• W2969743007 cites W2883112821 @default.
• W2969743007 cites W3140945414 @default.
• W2969743007 cites W4211250424 @default.
• W2969743007 doi "https://doi.org/10.1016/j.envpol.2019.113089" @default.
• W2969743007 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31476672" @default.
• W2969743007 hasPublicationYear "2019" @default.
• W2969743007 type Work @default.
• W2969743007 sameAs 2969743007 @default.
• W2969743007 citedByCount "100" @default.
• W2969743007 countsByYear W29697430072020 @default.
• W2969743007 countsByYear W29697430072021 @default.
• W2969743007 countsByYear W29697430072022 @default.
• W2969743007 countsByYear W29697430072023 @default.
• W2969743007 crossrefType "journal-article" @default.
• W2969743007 hasAuthorship W2969743007A5011236120 @default.
• W2969743007 hasAuthorship W2969743007A5015107909 @default.
• W2969743007 hasAuthorship W2969743007A5018892762 @default.
• W2969743007 hasAuthorship W2969743007A5038864140 @default.
• W2969743007 hasAuthorship W2969743007A5039374096 @default.
• W2969743007 hasAuthorship W2969743007A5070196022 @default.
• W2969743007 hasAuthorship W2969743007A5072496848 @default.
• W2969743007 hasAuthorship W2969743007A5081721128 @default.
• W2969743007 hasAuthorship W2969743007A5084754656 @default.
• W2969743007 hasConcept C107872376 @default.
• W2969743007 hasConcept C112570922 @default.
• W2969743007 hasConcept C157247726 @default.
• W2969743007 hasConcept C159390177 @default.
• W2969743007 hasConcept C159750122 @default.
• W2969743007 hasConcept C178790620 @default.
• W2969743007 hasConcept C185592680 @default.
• W2969743007 hasConcept C18903297 @default.
• W2969743007 hasConcept C2779794483 @default.
• W2969743007 hasConcept C2984618805 @default.
• W2969743007 hasConcept C39432304 @default.
• W2969743007 hasConcept C521259446 @default.
• W2969743007 hasConcept C71924100 @default.
• W2969743007 hasConcept C86803240 @default.
• W2969743007 hasConcept C99454951 @default.
• W2969743007 hasConceptScore W2969743007C107872376 @default.
• W2969743007 hasConceptScore W2969743007C112570922 @default.
• W2969743007 hasConceptScore W2969743007C157247726 @default.
• W2969743007 hasConceptScore W2969743007C159390177 @default.
• W2969743007 hasConceptScore W2969743007C159750122 @default.
• W2969743007 hasConceptScore W2969743007C178790620 @default.
• W2969743007 hasConceptScore W2969743007C185592680 @default.
• W2969743007 hasConceptScore W2969743007C18903297 @default.
• W2969743007 hasConceptScore W2969743007C2779794483 @default.
• W2969743007 hasConceptScore W2969743007C2984618805 @default.
• W2969743007 hasConceptScore W2969743007C39432304 @default.
• W2969743007 hasConceptScore W2969743007C521259446 @default.
• W2969743007 hasConceptScore W2969743007C71924100 @default.
• W2969743007 hasConceptScore W2969743007C86803240 @default.
• W2969743007 hasConceptScore W2969743007C99454951 @default.

• next