Uncertainty modelling in multi-criteria analysis of water safety measures
Artikel i vetenskaplig tidskrift, 2013

Water utilities must assess risks and make decisions on safety measures in order to obtain a safe and sustainable drinking water supply. The World Health Organization emphasises preparation of Water Safety Plans, in which risk ranking by means of risk matrices with discretised probability and consequence scales is commonly used. Risk ranking enables prioritisation of risks but there is currently no common and structured way of performing uncertainty analysis and using risk ranking for evaluating and comparing water safety measures. To enable a proper prioritisation of safety measures and an efficient use of available resources for risk reduction, two alternative models linking risk ranking and multi-criteria decision analysis (MCDA) are presented and evaluated. The two models specifically enable uncertainty modelling in MCDA and they differ in terms of how uncertainties in risk levels are considered. The need of formal handling of risk and uncertainty in MCDA is emphasised in the literature and the suggested models provide innovations that are not dependent on the application domain. In the case study application presented here, possible safety measures are evaluated based on the benefit of estimated risk reduction, the cost of implementation and the probability of not achieving an acceptable risk level. Additional criteria such as environmental impact and consumer trust may also be included when applying the models. The case study shows how safety measures can be ranked based on preference scores or cost-effectiveness and how measures not reducing the risk enough can be identified and disqualified. Furthermore, the probability of each safety measure being ranked highest can be calculated. The two models provide a stepwise procedure for prioritising safety measures and enable a formalised handling of uncertainties in input data and results.

risk ranking

multi-criteria decision analysis (MCDA)

drinking water

water safety plan.

risk reduction

uncertainty analysis


Andreas Lindhe

DRICKS Ramprogrammet för dricksvattenforskning vid Chalmers

Chalmers, Bygg- och miljöteknik, Geologi och geoteknik

Lars Rosen

DRICKS Ramprogrammet för dricksvattenforskning vid Chalmers

FRIST kompetenscentrum

Chalmers, Bygg- och miljöteknik, Geologi och geoteknik

Tommy Norberg

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Jon Røstum

Thomas Pettersson

Chalmers, Bygg- och miljöteknik, Vatten Miljö Teknik

DRICKS Ramprogrammet för dricksvattenforskning vid Chalmers

Environment Systems & Decisions

2194-5403 (ISSN) 2194-5411 (eISSN)

Vol. 33 2 195-208


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Building Futures (2010-2018)



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