Integrated modelling of risk and uncertainty underlying the selection of cost-effective water quality measures

In this paper we present an overview of the most important sources of uncertainty when analysing the least cost way to improve water quality. The estimation of the cost-effectiveness of water quality measures is surrounded by environmental, economic and political uncertainty. These different types of uncertainty are identified, quantified and analysed with the help of a risk and uncertainty model written in Exce