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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
Univ Aberdeen, UK;James Hutton Inst, UK.ORCID iD: 0000-0002-8129-0008
Univ Aberdeen, UK;IGB Leibniz Inst Freshwater Ecol & Inland Fisheri, Germany;Humboldt Univ, Germany.ORCID iD: 0000-0002-7183-8674
Univ Aberdeen, UK.
James Hutton Inst, UK.ORCID iD: 0000-0002-9698-9700
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2020 (English)In: Journal of Environmental Management, ISSN 0301-4797, E-ISSN 1095-8630, Vol. 270, article id 110903Article in journal (Refereed) Published
Abstract [en]

A new Model for the Agent-based simulation of Faecal Indicator Organisms (MAFIO) is developed that attempts to overcome limitations in existing faecal indicator organism (FIO) models arising from coarse spatial discretisations and poorly-constrained hydrological processes. MAFIO is a spatially-distributed, process-based model presently designed to simulate the fate and transport of agents representing FIOs shed by livestock at the sub-field scale in small (<10 km(2)) agricultural catchments. Specifically, FIO loading, die-off, detachment, surface routing, seepage and channel routing are modelled on a regular spatial grid. Central to MAFIO is that hydrological transfer mechanisms are simulated based on a hydrological environment generated by an external model for which it is possible to robustly determine the accuracy of simulated catchment hydrological functioning. The spatially-distributed, tracer-aided ecohydrological model EcH(2)O-iso is highlighted as a possible hydrological environment generator. The present paper provides a rationale for and description of MAFIO, whilst a companion paper applies the model in a small agricultural catchment in Scotland to provide a proof-of-concept.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 270, article id 110903
Keywords [en]
Diffuse pollution, E. coli, EcH(2)O-iso, Microbial water quality, Tracer-aided modelling, Water quality modelling
National Category
Environmental Sciences
Research subject
Natural Science, Environmental Science
Identifiers
URN: urn:nbn:se:lnu:diva-132373DOI: 10.1016/j.jenvman.2020.110903ISI: 000554920300083PubMedID: 32721338Scopus ID: 2-s2.0-85087780398OAI: oai:DiVA.org:lnu-132373DiVA, id: diva2:1896586
Available from: 2024-09-10 Created: 2024-09-10 Last updated: 2024-09-12Bibliographically approved

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Hough, Rupert

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