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Water quality modelling: microbial risks associated with manure on pasture and arable land.
Sokolova, Ekaterina; Lindström, Göran; Pers, Charlotta; Strömqvist, Johan; Lewerin, Susanna Sternberg; Wahlström, Helene; Sörén, Kaisa.
Afiliación
  • Sokolova E; Department of Architecture and Civil Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden E-mail: ekaterina.sokolova@chalmers.se.
  • Lindström G; Research Department, Swedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, Sweden.
  • Pers C; Research Department, Swedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, Sweden.
  • Strömqvist J; Research Department, Swedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, Sweden.
  • Lewerin SS; Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7036, SE-750 07 Uppsala, Sweden.
  • Wahlström H; Department of Disease Control and Epidemiology, National Veterinary Institute, SE-751 89 Uppsala, Sweden.
  • Sörén K; Department of Disease Control and Epidemiology, National Veterinary Institute, SE-751 89 Uppsala, Sweden.
J Water Health ; 16(4): 549-561, 2018 Aug.
Article en En | MEDLINE | ID: mdl-30067238
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 O157H7 (VTEC) and Cryptosporidium parvum in an agricultural catchment of a drinking water source, Lake Vombsjön, 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Calidad del Agua / Simulación por Computador / Heces / Modelos Teóricos Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Europa Idioma: En Revista: J Water Health Asunto de la revista: SAUDE AMBIENTAL Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Calidad del Agua / Simulación por Computador / Heces / Modelos Teóricos Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Europa Idioma: En Revista: J Water Health Asunto de la revista: SAUDE AMBIENTAL Año: 2018 Tipo del documento: Article