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Water quality modelling: microbial risks associated with manure on pasture and arable land

  • Ekaterina Sokolova
  • , Göran Lindström
  • , Charlotta Pers
  • , Johan Strömqvist
  • , Susanna Sternberg Lewerin
  • , Helene Wahlström
  • , Kaisa Sörén

    Publication: Contribution to journalJournal articlepeer-review

    Abstract

    While agricultural activities, such as the application of manure on arable land and animal grazing on pastures, provide economic and environmental benefits, they may also pose microbial risks to water sources. The aim of this paper was to study the microbial fate and transport in an agricultural catchment and recipient water source through further development of the hydrological model HYPE. Hydrological modelling was combined with hydrodynamic modelling to simulate the fate and transport of Salmonella spp., verotoxin-producing Escherichia coli 0157:H7 (VTEC) and Cryptosporidium parvum in an agricultural catchment of a drinking water source, Lake Vombsjon, in Sweden. This approach was useful to study the influence of different processes on the pathogen fate and transport, and to interpret the relative changes in the simulated concentrations. Sensitivity analysis indicated that the largest uncertainties in the model were associated with the estimation of pathogen loads, parameterisation of the pathogen processes, and simulation of partitioning between surface runoff and infiltration. The proposed modelling approach is valuable for assessing the relative effect of different risk-reducing interventions.
    Original languageEnglish
    Pages (from-to)549-561
    Number of pages13
    JournalJournal of Water and Health
    Volume16
    Issue number4
    DOIs
    Publication statusPublished - 2018

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 6 - Clean Water and Sanitation
      SDG 6 Clean Water and Sanitation

    Keywords

    • C. parvum
    • hydrodynamic modelling
    • hydrological modelling
    • pathogens
    • salmonella
    • VTEC

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