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Identification of core micropollutants of Ergene River and their categorization based on spatiotemporal distribution

Emadian, S. Mehdi; Sefiloglu, F. Oyku; Balcioglu, Isil Akmehmet; Tezel, Ulas


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/234062</identifier>
  <creators>
    <creator>
      <creatorName>Emadian, S. Mehdi</creatorName>
      <givenName>S. Mehdi</givenName>
      <familyName>Emadian</familyName>
      <affiliation>Bogazici Univ, Inst Environm Sci, TR-34342 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Sefiloglu, F. Oyku</creatorName>
      <givenName>F. Oyku</givenName>
      <familyName>Sefiloglu</familyName>
      <affiliation>Bogazici Univ, Inst Environm Sci, TR-34342 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Balcioglu, Isil Akmehmet</creatorName>
      <givenName>Isil Akmehmet</givenName>
      <familyName>Balcioglu</familyName>
      <affiliation>Bogazici Univ, Inst Environm Sci, TR-34342 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Tezel, Ulas</creatorName>
      <givenName>Ulas</givenName>
      <familyName>Tezel</familyName>
      <affiliation>Bogazici Univ, Inst Environm Sci, TR-34342 Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Identification Of Core Micropollutants Of Ergene River And Their Categorization Based On Spatiotemporal Distribution</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/234062</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.scitotenv.2020.143656</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Ergene River is heavily utilized for irrigation of fields to grow the main stocks of rice, wheat, and sunflower of Turkey also exported to Europe; therefore, monitoring the river's water quality is crucial for public health. Although the river quality is routinely monitored, the evaluation of pollution based on micropollutants is limited. In this study, we measured 222 organic micropollutants in 300 samples collected from 75 different locations on the Ergene River between August 2017 and May 2018 using direct injection liquid chromatography-tandem spectrometry with optimized scheduled multiple reaction monitoring. In total, 165 micropollutants were detected at a range of concentrations between 1.90 ng/L and 1824.55 mu g/L. Sixty-three chemical substances were recurrentmicropollutants that were detected at least one location in all seasons. Among them, 41 chemical substances were identified as the core micropollutants of the Ergene River using data-driven clustering methods. Hexa(methoxymethyl)melamine, benzotriazoles, and benzalkonium chlorides were frequently detected core micropollutants with an industrial origin. Besides, diuron, carbendazim, and cadusafos were common pesticides in the river. Coremicropollutants were further categorized based on their type of source and environmental behavior using Kurtosis of concentration and load data obtained for eachmicropollutant. As a result, themajority of the coremicropollutants are recalcitrant chemicals either released from a specific source located upstreamof the river or have urban and agricultural sources dispersed on the watershed. In this study, we assessed the current state of pollution in the Ergene River at themicropollutant level with a very high spatial resolution and developed a statistical approach to categorize micropollutants that can be used to monitor the extent of pollution and track pollution sources in the river. (C) 2020 Elsevier B.V. All rights reserved.</description>
  </descriptions>
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