| dc.contributor.author | Neill, Aaron James | |
| dc.contributor.author | Tetzlaff, Doerthe | |
| dc.contributor.author | Strachan, Norval James Colin | |
| dc.contributor.author | Hough, Rupert Lloyd | |
| dc.contributor.author | Avery, Lisa Marie | |
| dc.contributor.author | Watson, Helen | |
| dc.contributor.author | Soulsby, Chris | |
| dc.date.accessioned | 2018-09-24T23:06:07Z | |
| dc.date.available | 2018-09-24T23:06:07Z | |
| dc.date.issued | 2018-01-15 | |
| dc.identifier.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 | en |
| dc.identifier.issn | 0048-9697 | |
| dc.identifier.other | PURE: 105421557 | |
| dc.identifier.other | PURE UUID: f4d17bb3-c360-47a8-a33b-f20c08c46c67 | |
| dc.identifier.other | Scopus: 85028704114 | |
| dc.identifier.other | ORCID: /0000-0002-8129-0008/work/63908415 | |
| dc.identifier.uri | http://hdl.handle.net/2164/11170 | |
| dc.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. | en |
| dc.format.extent | 13 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Science of the Total Environment | en |
| dc.rights | © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | SDG 15 - Life on Land | en |
| dc.subject | E. coli | en |
| dc.subject | Faecal indicator organism | en |
| dc.subject | Microbial pollution | en |
| dc.subject | Spatio-temporal dynamics | en |
| dc.subject | Surface water | en |
| dc.subject | Water quality | en |
| dc.subject | GE Environmental Sciences | en |
| dc.subject.lcc | GE | en |
| dc.title | Using spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchment | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Geology and Geophysics | en |
| dc.contributor.institution | University of Aberdeen.Geography & Environment | en |
| dc.contributor.institution | University of Aberdeen.Northern Rivers Institute (NRI) | en |
| dc.contributor.institution | University of Aberdeen.Energy | en |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Postprint | en |
| dc.identifier.doi | https://doi.org/10.1016/j.scitotenv.2017.08.151 | |
| dc.date.embargoedUntil | 2018-09-25 | |
| dc.identifier.vol | 612 | en |
