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      Using spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchment

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      ANeill_AcceptedManuscript.doc (2.869Mb)
      Publication date
      15/01/2018
      Author
      Neill, Aaron James
      Tetzlaff, Doerthe
      Strachan, Norval James Colin
      Hough, Rupert Lloyd
      Avery, Lisa Marie
      Watson, Helen
      Soulsby, Chris
      Keywords
      SDG 3 - Good Health and Well-being
      SDG 15 - Life on Land
      E. coli
      Faecal indicator organism
      Microbial pollution
      Spatio-temporal dynamics
      Surface water
      Water quality
      GE Environmental Sciences
      Metadata
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      Citation
      Neill , A J , Tetzlaff , D , Strachan , N J C , Hough , R L , Avery , L M , Watson , H & Soulsby , C 2018 , ' Using spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchment ' , Science of the Total Environment , vol. 612 , pp. 840-851 . https://doi.org/10.1016/j.scitotenv.2017.08.151
      Publication
      Science of the Total Environment
      Status
      Peer reviewed
      DOI
      https://doi.org/https://doi.org/10.1016/j.scitotenv.2017.08.151
      ISSN
      0048-9697
      Type
      Journal article
      Description
      Thanks to the Scottish Government's Hydro Nation Scholars Programme for funding AJN to do this research. Thanks to the Drinking Water Quality Regulator (DWQR) for Scotland for providing information about private water supplies and septic tanks in the Tarland.
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      • All research
      • Geography & Environment research
      • Physics research
      • University Office research
      URI
      http://hdl.handle.net/2164/11170

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