dissertation · Research Repository (Delft University of Technology) · 2008
Stochastic modelling of drinking water treatment in quantative microbial risk management
Smeets, P. (author)
Cited by 0Open access
Abstract
Samenvatting vii 1. Introduction and goal of the study 1 2. A stochastic pathogen reduction model for full-scale treatment 23 3. How can the UK statutory Cryptosporidium monitoring be used for quantitative risk assessment of Cryptosporidium in drinking water?45 4. Inactivation of Escherichia coli by ozone under bench-scale plug flow and full-scale hydraulic conditions 67 5. Improved methods for modelling drinking water treatment in quantitative microbial risk assessment; a case study of Campylobacter reduction by filtration and ozonation 85 6.On the variability and uncertainty in quantitative microbial risk assessment of drinking water 7. Practical applications of quantitative microbial risk assessment for water safety plans 8.
Cite this paper
Smeets, P. A. (2008). Stochastic modelling of drinking water treatment in quantative microbial risk management. Research Repository (Delft University of Technology).
Smeets, P. (author). “Stochastic modelling of drinking water treatment in quantative microbial risk management.” Research Repository (Delft University of Technology), 2008.
Smeets, P. (author). 2008. “Stochastic modelling of drinking water treatment in quantative microbial risk management.” Research Repository (Delft University of Technology).
Smeets, P.A. (2008) ‘Stochastic modelling of drinking water treatment in quantative microbial risk management’, Research Repository (Delft University of Technology).
@phdthesis{smeets2008stochastic,
title = {{Stochastic modelling of drinking water treatment in quantative microbial risk management}},
author = {Smeets, P. (author)},
school = {Research Repository (Delft University of Technology)},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.