Scholar Biography
Dr Aaron Neill
Linking Small-Scale Hydrological Flow Paths, Connectivity and Microbiological Transport to Protect Remote Private Water Supplies
I am a Hydro Nation Scholar alumni. I was a PhD student within the Northern Rivers Institute, School of Geosciences at the University of Aberdeen. My work looked to employ cutting-edge techniques in catchment hydrology, isotope hydrology and microbiology to understand the linkages between hydrological connectivity and the transfer of microbiological pathogens to private water supplies at the plot to hillslope scale, with the aim of developing models to simulate current and scenario-based pathogen transfer risk. Prior to my PhD, I studied at Durham University, where I obtained an MSci in Geography (First Class). The aim of my Master’s project was to investigate the value of stable isotope tracers in improving the predictive capabilities of a fully-distributed, physically-based rainfall-runoff model.
To view Aaron's latest knowledge exchange outputs please use the relevant links below:
Knowledge Exchange Outputs
- Linking Small-Scale Hydrological Flow Paths, Connectivity and Microbiological Transport to Protect Remote Private Water Supplies
- Tracer-Aided Modelling to Explore Non-Linearities in Flow Paths, Hydrological Connectivity and Faecal Contamination Risk
- Using Spatial-Stream-Network Models and Long-Term Data to Understand and Predict Dynamics of Faecal Contamination in a Mixed Land-Use Catchment
- Understanding and modelling long-term spatio-temporal dynamics of faecal contamination in a mixed land-use stream network
- Linking Small-Scale Hydrological Flow Paths, Connectivity and Microbiological Transport To Protect Remote Private Water Supplies
- Long-Term Spatio-Temporal Patterns and Controls of Faecal Contamination Risk In An Agricultural Catchment
- Linking small-scale hydrological flow paths, connectivity and microbiological transport to protect remote private water supplies
- Integrating an Agent-Based Model for E. coli with a Tracer-Aided Hydrological Model to Explore Controls on Microbial Water Quality
- To What Extent Does Hydrological Connectivity Control Dynamics of Faecal Indicator Organisims in Streams? Intital Hypothesis Testing Using a Tracer-Aided Model
- An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 1: Background and model description
- An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 2: Application to a small agricultural catchment