Matches in SemOpenAlex for { <https://semopenalex.org/work/W2743681081> ?p ?o ?g. }
- W2743681081 endingPage "554" @default.
- W2743681081 startingPage "542" @default.
- W2743681081 abstract "Abstract Multivariate statistical analyses were used to assess the contents and distributions of trace elements in agricultural soils in Xinzhou of Shanxi Province, China, and to identify their sources. Samples with high levels of trace elements were concentrated in eastern Xinzhou, with contents declining from the east to west. Principal component and redundancy analyses revealed strong correlations among Co, Cu, Mn, Ni, Se, V, and Zn contents, suggesting that these elements were derived from similar parent materials. There were also strong correlations between the contents of these elements and soil properties. Contents of Cd and Pb were significantly higher in the agricultural soil samples than in the background soil samples (P" @default.
- W2743681081 created "2017-08-17" @default.
- W2743681081 creator A5003027679 @default.
- W2743681081 creator A5030733331 @default.
- W2743681081 creator A5031862783 @default.
- W2743681081 creator A5035896363 @default.
- W2743681081 creator A5054026530 @default.
- W2743681081 creator A5055122853 @default.
- W2743681081 creator A5057008180 @default.
- W2743681081 creator A5068336664 @default.
- W2743681081 creator A5075123903 @default.
- W2743681081 creator A5080973920 @default.
- W2743681081 creator A5083113662 @default.
- W2743681081 creator A5086670529 @default.
- W2743681081 date "2018-06-01" @default.
- W2743681081 modified "2023-10-18" @default.
- W2743681081 title "Distribution Assessment and Source Identification Using Multivariate Statistical Analyses and Artificial Neutral Networks for Trace Elements in Agricultural Soils in Xinzhou of Shanxi Province, China" @default.
- W2743681081 cites W1965228469 @default.
- W2743681081 cites W1966359254 @default.
- W2743681081 cites W1967312880 @default.
- W2743681081 cites W1969734920 @default.
- W2743681081 cites W1977537959 @default.
- W2743681081 cites W1980613493 @default.
- W2743681081 cites W1982431322 @default.
- W2743681081 cites W1984674241 @default.
- W2743681081 cites W1986845037 @default.
- W2743681081 cites W1990474210 @default.
- W2743681081 cites W1997784266 @default.
- W2743681081 cites W2000936690 @default.
- W2743681081 cites W2001092000 @default.
- W2743681081 cites W2003897971 @default.
- W2743681081 cites W2021977492 @default.
- W2743681081 cites W2025843199 @default.
- W2743681081 cites W2027160099 @default.
- W2743681081 cites W2031674205 @default.
- W2743681081 cites W2039145920 @default.
- W2743681081 cites W2044529936 @default.
- W2743681081 cites W2054325787 @default.
- W2743681081 cites W2055779771 @default.
- W2743681081 cites W2063833515 @default.
- W2743681081 cites W2065702774 @default.
- W2743681081 cites W2071913886 @default.
- W2743681081 cites W2073553092 @default.
- W2743681081 cites W2077458446 @default.
- W2743681081 cites W2081781496 @default.
- W2743681081 cites W2089801470 @default.
- W2743681081 cites W2093142558 @default.
- W2743681081 cites W2096590148 @default.
- W2743681081 cites W2098613529 @default.
- W2743681081 cites W2113085009 @default.
- W2743681081 cites W2136095843 @default.
- W2743681081 doi "https://doi.org/10.1016/s1002-0160(17)60304-7" @default.
- W2743681081 hasPublicationYear "2018" @default.
- W2743681081 type Work @default.
- W2743681081 sameAs 2743681081 @default.
- W2743681081 citedByCount "5" @default.
- W2743681081 countsByYear W27436810812020 @default.
- W2743681081 countsByYear W27436810812021 @default.
- W2743681081 countsByYear W27436810812022 @default.
- W2743681081 countsByYear W27436810812023 @default.
- W2743681081 crossrefType "journal-article" @default.
- W2743681081 hasAuthorship W2743681081A5003027679 @default.
- W2743681081 hasAuthorship W2743681081A5030733331 @default.
- W2743681081 hasAuthorship W2743681081A5031862783 @default.
- W2743681081 hasAuthorship W2743681081A5035896363 @default.
- W2743681081 hasAuthorship W2743681081A5054026530 @default.
- W2743681081 hasAuthorship W2743681081A5055122853 @default.
- W2743681081 hasAuthorship W2743681081A5057008180 @default.
- W2743681081 hasAuthorship W2743681081A5068336664 @default.
- W2743681081 hasAuthorship W2743681081A5075123903 @default.
- W2743681081 hasAuthorship W2743681081A5080973920 @default.
- W2743681081 hasAuthorship W2743681081A5083113662 @default.
- W2743681081 hasAuthorship W2743681081A5086670529 @default.
- W2743681081 hasConcept C105795698 @default.
- W2743681081 hasConcept C110121322 @default.
- W2743681081 hasConcept C116834253 @default.
- W2743681081 hasConcept C118518473 @default.
- W2743681081 hasConcept C134306372 @default.
- W2743681081 hasConcept C138885662 @default.
- W2743681081 hasConcept C159390177 @default.
- W2743681081 hasConcept C159750122 @default.
- W2743681081 hasConcept C161584116 @default.
- W2743681081 hasConcept C166957645 @default.
- W2743681081 hasConcept C18903297 @default.
- W2743681081 hasConcept C191935318 @default.
- W2743681081 hasConcept C205649164 @default.
- W2743681081 hasConcept C2986587452 @default.
- W2743681081 hasConcept C33923547 @default.
- W2743681081 hasConcept C39432304 @default.
- W2743681081 hasConcept C41895202 @default.
- W2743681081 hasConcept C75291252 @default.
- W2743681081 hasConcept C86803240 @default.
- W2743681081 hasConceptScore W2743681081C105795698 @default.
- W2743681081 hasConceptScore W2743681081C110121322 @default.
- W2743681081 hasConceptScore W2743681081C116834253 @default.
- W2743681081 hasConceptScore W2743681081C118518473 @default.
- W2743681081 hasConceptScore W2743681081C134306372 @default.
- W2743681081 hasConceptScore W2743681081C138885662 @default.