FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2960095593> ?p ?o ?g. }

• W2960095593 endingPage "358" @default.
• W2960095593 startingPage "347" @default.
• W2960095593 abstract "Identifying the quantitative sources and hazardous areas of potentially toxic elements (PTEs) is a pivotal role of soil management. A total of 1465 samples (0–20 cm) were collected from topsoils in Dongying City, eastern China, and the concentrations of As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, and Zn were measured. US-EPA positive matrix factorization (EPAPMF) and weighted alternating least squares positive matrix factorization (WALSPMF) were applied to evaluate the source apportionment of ten PTEs in soils. Hazardous areas of ten PTEs were delineated using sequential Gaussian simulation (SGS) with uncertainty analysis. Both EPAPMF and WALSPMF modeling identified three source factors with similar contributions, suggesting that WALSPMF could provide a reliable PMF solution for source apportionment of PTEs in soils. Ensemble-average source contributions were calculated based on the two PMF results. As, Co, Cr, Cu, Mn, Ni, and Zn originated from natural sources, with the contributions of parent materials ranging from 85.3% to 93.2%. Hg originated equally from parent materials (47.2%) and atmosphere deposition from human emissions (45.0%). Parent materials and atmosphere deposition from human emissions contributed to 68.7% and 20.5% of Pb concentrations. Cd was mainly controlled by parent materials (61.0%) and agricultural practices (37.4%). SGS indicated that parent materials controlled the spatial distribution patterns of As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn. Critical probability of 0.9 could generate a reliable joint probability of PTEs concentrations exceeding pollution thresholds of 1.5 times background values in Shandong Province, and was adopted to determine confidential hazardous areas. Approximately 4.5% and 1.6% of the total area for Cd and Hg were determined as hazardous areas." @default.
• W2960095593 created "2019-07-23" @default.
• W2960095593 creator A5016112203 @default.
• W2960095593 creator A5064103547 @default.
• W2960095593 date "2019-11-01" @default.
• W2960095593 modified "2023-10-18" @default.
• W2960095593 title "PMF receptor models and sequential Gaussian simulation to determine the quantitative sources and hazardous areas of potentially toxic elements in soils" @default.
• W2960095593 cites W1486555851 @default.
• W2960095593 cites W1966258332 @default.
• W2960095593 cites W1967937233 @default.
• W2960095593 cites W1969173086 @default.
• W2960095593 cites W1974576701 @default.
• W2960095593 cites W1975265191 @default.
• W2960095593 cites W1982923883 @default.
• W2960095593 cites W1985716087 @default.
• W2960095593 cites W1993057794 @default.
• W2960095593 cites W1995310032 @default.
• W2960095593 cites W1999581662 @default.
• W2960095593 cites W2007187972 @default.
• W2960095593 cites W2015744636 @default.
• W2960095593 cites W2016487358 @default.
• W2960095593 cites W2021977492 @default.
• W2960095593 cites W2024766984 @default.
• W2960095593 cites W2025637561 @default.
• W2960095593 cites W2026696135 @default.
• W2960095593 cites W2051197471 @default.
• W2960095593 cites W2051999869 @default.
• W2960095593 cites W2059027786 @default.
• W2960095593 cites W2062535009 @default.
• W2960095593 cites W2076318631 @default.
• W2960095593 cites W2083736773 @default.
• W2960095593 cites W2091575974 @default.
• W2960095593 cites W2094873893 @default.
• W2960095593 cites W2096675104 @default.
• W2960095593 cites W2106812540 @default.
• W2960095593 cites W2121224487 @default.
• W2960095593 cites W2126479954 @default.
• W2960095593 cites W2136178416 @default.
• W2960095593 cites W2157262115 @default.
• W2960095593 cites W2159621253 @default.
• W2960095593 cites W2162747676 @default.
• W2960095593 cites W2188575611 @default.
• W2960095593 cites W2221508817 @default.
• W2960095593 cites W2324528627 @default.
• W2960095593 cites W2334825407 @default.
• W2960095593 cites W2364895978 @default.
• W2960095593 cites W2407374040 @default.
• W2960095593 cites W2549618048 @default.
• W2960095593 cites W2555577710 @default.
• W2960095593 cites W2559967234 @default.
• W2960095593 cites W2592706254 @default.
• W2960095593 cites W2601418425 @default.
• W2960095593 cites W2602874887 @default.
• W2960095593 cites W2725837980 @default.
• W2960095593 cites W2759824202 @default.
• W2960095593 cites W2763818112 @default.
• W2960095593 cites W2765637995 @default.
• W2960095593 cites W2771998889 @default.
• W2960095593 cites W2783535228 @default.
• W2960095593 cites W2789683665 @default.
• W2960095593 cites W2790855506 @default.
• W2960095593 cites W2799973718 @default.
• W2960095593 cites W2804887513 @default.
• W2960095593 cites W2882994561 @default.
• W2960095593 cites W2883818011 @default.
• W2960095593 cites W2889515887 @default.
• W2960095593 cites W2894223048 @default.
• W2960095593 cites W2895953733 @default.
• W2960095593 cites W2899025789 @default.
• W2960095593 cites W2909169415 @default.
• W2960095593 cites W4229494142 @default.
• W2960095593 cites W963453518 @default.
• W2960095593 doi "https://doi.org/10.1016/j.geoderma.2019.07.020" @default.
• W2960095593 hasPublicationYear "2019" @default.
• W2960095593 type Work @default.
• W2960095593 sameAs 2960095593 @default.
• W2960095593 citedByCount "44" @default.
• W2960095593 countsByYear W29600955932020 @default.
• W2960095593 countsByYear W29600955932021 @default.
• W2960095593 countsByYear W29600955932022 @default.
• W2960095593 countsByYear W29600955932023 @default.
• W2960095593 crossrefType "journal-article" @default.
• W2960095593 hasAuthorship W2960095593A5016112203 @default.
• W2960095593 hasAuthorship W2960095593A5064103547 @default.
• W2960095593 hasConcept C107872376 @default.
• W2960095593 hasConcept C11413529 @default.
• W2960095593 hasConcept C127313418 @default.
• W2960095593 hasConcept C127413603 @default.
• W2960095593 hasConcept C151730666 @default.
• W2960095593 hasConcept C153294291 @default.
• W2960095593 hasConcept C159390177 @default.
• W2960095593 hasConcept C159750122 @default.
• W2960095593 hasConcept C17744445 @default.
• W2960095593 hasConcept C178790620 @default.
• W2960095593 hasConcept C185592680 @default.
• W2960095593 hasConcept C187834632 @default.
• W2960095593 hasConcept C18903297 @default.
• W2960095593 hasConcept C199539241 @default.

• next