FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894562127> ?p ?o ?g. }

• W2894562127 endingPage "1991" @default.
• W2894562127 startingPage "1983" @default.
• W2894562127 abstract "Arsenic (As) contamination in sediments has been reported worldwide. However, few studies have investigated As contamination on a national scale in China. This study aims to address this gap by analyzing the existing literature on As contamination and sediment samples collected from ten main river basins: the Songhua River Basin (SRB), Liao River Basin (LRB), Hai River Basin (HRB), Yellow River Basin (YRB), Huai River Basin (HuRB), Yangtze River Basin (YtRB), Pearl River Basin (PRB), Southeastern River Basin (SeRB), Southwestern River Basin (SwRB), and Northwestern River Basin (NwRB). Regional geochemical baseline (RGB) values of As in the sediments of river basins were calculated to estimate human contributions of As using normalization and cumulative frequency distribution curves. The established RGB values in the SRB, YtRB, and PRB were higher than the corresponding regional soil background (RSB), possibly because of the high intensity of human activities in the SRB, YtRB, and PRB. Taking RGB and RSB values as the background references, contamination assessment yielded important information on As contamination in China. With high As contributions from Yunnan province, the PRB suffered from the highest level of contamination, and the mean human contribution of As in the PRB was 64.4%. The contamination levels in the less developed southwestern regions were even higher than in some river basins in economically developed regions (e.g., YRB). In addition, As in the PRB and YtRB was found to be partially contributed by industrial wastewater discharge, and the response of As contamination in sediments to industrial wastewater discharge was analyzed. The temporal change (2004-2016) of As in sediments from the PRB, YtRB, and YRB corresponded well with that of As discharged in wastewater within the corresponding river basins. This study thus serves as a valuable foundation for policies focused on ameliorating As contamination in China." @default.
• W2894562127 created "2018-10-12" @default.
• W2894562127 creator A5024944236 @default.
• W2894562127 creator A5027172198 @default.
• W2894562127 creator A5040824011 @default.
• W2894562127 creator A5068964342 @default.
• W2894562127 creator A5070149523 @default.
• W2894562127 date "2019-02-01" @default.
• W2894562127 modified "2023-10-17" @default.
• W2894562127 title "Arsenic pollution of sediments in China: An assessment by geochemical baseline" @default.
• W2894562127 cites W1111371796 @default.
• W2894562127 cites W140231629 @default.
• W2894562127 cites W1758801152 @default.
• W2894562127 cites W1864940638 @default.
• W2894562127 cites W1946191176 @default.
• W2894562127 cites W1966779807 @default.
• W2894562127 cites W1970133867 @default.
• W2894562127 cites W1972008769 @default.
• W2894562127 cites W1972568665 @default.
• W2894562127 cites W1983107239 @default.
• W2894562127 cites W1989897033 @default.
• W2894562127 cites W1995707863 @default.
• W2894562127 cites W2001092000 @default.
• W2894562127 cites W2011812520 @default.
• W2894562127 cites W2014881918 @default.
• W2894562127 cites W2017068265 @default.
• W2894562127 cites W2017607730 @default.
• W2894562127 cites W2017721076 @default.
• W2894562127 cites W2029241059 @default.
• W2894562127 cites W2029977965 @default.
• W2894562127 cites W2032518572 @default.
• W2894562127 cites W2034703653 @default.
• W2894562127 cites W2051657292 @default.
• W2894562127 cites W2053635154 @default.
• W2894562127 cites W2055387139 @default.
• W2894562127 cites W2057505740 @default.
• W2894562127 cites W2058390592 @default.
• W2894562127 cites W2067483717 @default.
• W2894562127 cites W2068122428 @default.
• W2894562127 cites W2068761799 @default.
• W2894562127 cites W2070164699 @default.
• W2894562127 cites W2072144226 @default.
• W2894562127 cites W2075036978 @default.
• W2894562127 cites W2075696694 @default.
• W2894562127 cites W2078184125 @default.
• W2894562127 cites W2082530523 @default.
• W2894562127 cites W2082612656 @default.
• W2894562127 cites W2083008662 @default.
• W2894562127 cites W2086172486 @default.
• W2894562127 cites W2096478391 @default.
• W2894562127 cites W2104843444 @default.
• W2894562127 cites W2166505922 @default.
• W2894562127 cites W2214873541 @default.
• W2894562127 cites W2224385675 @default.
• W2894562127 cites W2341199079 @default.
• W2894562127 cites W2344953284 @default.
• W2894562127 cites W236545616 @default.
• W2894562127 cites W2409731412 @default.
• W2894562127 cites W2515217650 @default.
• W2894562127 cites W2586892097 @default.
• W2894562127 cites W2594653557 @default.
• W2894562127 cites W2649921188 @default.
• W2894562127 cites W2805183721 @default.
• W2894562127 doi "https://doi.org/10.1016/j.scitotenv.2018.09.381" @default.
• W2894562127 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30321721" @default.
• W2894562127 hasPublicationYear "2019" @default.
• W2894562127 type Work @default.
• W2894562127 sameAs 2894562127 @default.
• W2894562127 citedByCount "50" @default.
• W2894562127 countsByYear W28945621272019 @default.
• W2894562127 countsByYear W28945621272020 @default.
• W2894562127 countsByYear W28945621272021 @default.
• W2894562127 countsByYear W28945621272022 @default.
• W2894562127 countsByYear W28945621272023 @default.
• W2894562127 crossrefType "journal-article" @default.
• W2894562127 hasAuthorship W2894562127A5024944236 @default.
• W2894562127 hasAuthorship W2894562127A5027172198 @default.
• W2894562127 hasAuthorship W2894562127A5040824011 @default.
• W2894562127 hasAuthorship W2894562127A5068964342 @default.
• W2894562127 hasAuthorship W2894562127A5070149523 @default.
• W2894562127 hasConcept C109007969 @default.
• W2894562127 hasConcept C112570922 @default.
• W2894562127 hasConcept C114793014 @default.
• W2894562127 hasConcept C126645576 @default.
• W2894562127 hasConcept C127313418 @default.
• W2894562127 hasConcept C187320778 @default.
• W2894562127 hasConcept C18903297 @default.
• W2894562127 hasConcept C205649164 @default.
• W2894562127 hasConcept C2816523 @default.
• W2894562127 hasConcept C39432304 @default.
• W2894562127 hasConcept C521259446 @default.
• W2894562127 hasConcept C58640448 @default.
• W2894562127 hasConcept C76886044 @default.
• W2894562127 hasConcept C86803240 @default.
• W2894562127 hasConceptScore W2894562127C109007969 @default.
• W2894562127 hasConceptScore W2894562127C112570922 @default.
• W2894562127 hasConceptScore W2894562127C114793014 @default.
• W2894562127 hasConceptScore W2894562127C126645576 @default.

• next