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Spridningssimulering i Sea Track för scenarioberäkning av mikrobiella patogenkoncentrationer i Östra mälaren

Rimne, Anders (2007) In LUTVDG/TVBB--5234--SE VBR920
Division of Fire Safety Engineering
Risk Management and Safety Engineering (M.Sc.Eng.)
Division of Risk Management and Societal Safety
Abstract
This master thesis shows how microbial concentrations in raw water can be assessed by scenario modelling of microbial releases from known microbial sources. In this thesis an inventory of potential microbial sources in eastern Mälaren has been performed and 7 major sources of microbial pollution have been identified. The distribution modelling program SeaTrack Östra Mälaren has been used to model release scenarios from the identified microbial sources. By means of MonteCarlo simulations the likelihood of high concentrations of pathogen micro- organisms in the raw water outside the waterworks of Stockholm, resulting from pollution from the identified microbial sources, has been estimated.
Please use this url to cite or link to this publication:
author
Rimne, Anders
supervisor
organization
course
VBR920
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Kvantitativ mikrobiologisk riskanalys, QMRA, Kvantitativ riskanalys, QRA, scenario modellering, MonteCarlo, SeaTrack
publication/series
LUTVDG/TVBB--5234--SE
report number
5234
ISSN
1402-3504
language
Swedish
id
1689031
date added to LUP
2011-01-21 08:30:12
date last changed
2020-12-03 14:26:05
@misc{1689031,
  abstract     = {{This master thesis shows how microbial concentrations in raw water can be assessed by scenario modelling of microbial releases from known microbial sources. In this thesis an inventory of potential microbial sources in eastern Mälaren has been performed and 7 major sources of microbial pollution have been identified. The distribution modelling program SeaTrack Östra Mälaren has been used to model release scenarios from the identified microbial sources. By means of MonteCarlo simulations the likelihood of high concentrations of pathogen micro- organisms in the raw water outside the waterworks of Stockholm, resulting from pollution from the identified microbial sources, has been estimated.}},
  author       = {{Rimne, Anders}},
  issn         = {{1402-3504}},
  language     = {{swe}},
  note         = {{Student Paper}},
  series       = {{LUTVDG/TVBB--5234--SE}},
  title        = {{Spridningssimulering i Sea Track för scenarioberäkning av mikrobiella patogenkoncentrationer i Östra mälaren}},
  year         = {{2007}},
}