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

Neill, Aaron JamesTetzlaff, DoertheStrachan, Norval James ColinHough, Rupert LloydAvery, Lisa MarieWatson, HelenSoulsby, Chris2018-09-242018-09-242018-01-15Neill, 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.2017.08.1510048-9697ORCID: /0000-0002-8129-0008/work/63908415http://hdl.handle.net/2164/11170Thanks 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.133008512engSDG 3 - Good Health and Well-beingSDG 15 - Life on LandE. coliFaecal indicator organismMicrobial pollutionSpatio-temporal dynamicsSurface waterWater qualityGE Environmental SciencesGEUsing spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchmentJournal article10.1016/j.scitotenv.2017.08.151612