2020
DOI: 10.1016/j.jenvman.2020.110903
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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

Abstract: Highlights• Present a new agent-based model for simulating faecal indicator organisms (FIOs).• Simulates fate and transport of agents representing a sufficient sample of FIOs.• Models loading, die-off, detachment, surface routing, seepage and channel routing.• Hydrological environment is generated by a robustly-constrained hydrological model.• Present EcH2O-iso as an appropriate hydrological environment generator.

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Cited by 5 publications
(3 citation statements)
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References 105 publications
(135 reference statements)
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“…To predict the risk associated with different receiving waters we first need to understand how microbial pollutants, e.g., FIOs, survive in the environment and improve our knowledge of FIO contributions from sources other than just humans and livestock, i.e., quantify FIO risk from wildlife sources. The findings from this series of experiments therefore contribute to an improved understanding of how catchment FIO burden can vary over time, which is fundamentally important for accurate assessment of the risk of microbial contamination of watercourses at the catchment scale [ 22 ]. In particular, these data help constrain the parameterisation of die-off coefficients used in the modelling of fate and transfer of FIOs in landscapes where F–T cycling is common (e.g., [ 23 ]).…”
Section: Discussionmentioning
confidence: 99%
“…To predict the risk associated with different receiving waters we first need to understand how microbial pollutants, e.g., FIOs, survive in the environment and improve our knowledge of FIO contributions from sources other than just humans and livestock, i.e., quantify FIO risk from wildlife sources. The findings from this series of experiments therefore contribute to an improved understanding of how catchment FIO burden can vary over time, which is fundamentally important for accurate assessment of the risk of microbial contamination of watercourses at the catchment scale [ 22 ]. In particular, these data help constrain the parameterisation of die-off coefficients used in the modelling of fate and transfer of FIOs in landscapes where F–T cycling is common (e.g., [ 23 ]).…”
Section: Discussionmentioning
confidence: 99%
“…Data reported in our study can help to constrain the parameterisation of mobilisation coefficients in models, which are often ignored in the modelling of FIB fate and transfer because of a lack of such information [2,19]. Understanding mobilisation potential is important because it provides an indication of the magnitude of a pollutant load that may subsequently be transferred through the environment.…”
Section: Plos Onementioning
confidence: 95%
“…Although detachment processes have been included in some existing FIB model structures, a current lack of information prevents good quality detachment representation across the spectrum of different faecal sources, especially non-agricultural sources, that often exist within a catchment [2,19]. For example, different livestock, wildlife and wildfowl excrete faecal material of varying physio-chemical characteristics, which in turn are likely to influence FIB mobilisation.…”
Section: Introductionmentioning
confidence: 99%