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

R. Brouwer; C. de Blois

doi:10.1016/j.envsoft.2007.10.006

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

R. Brouwer
, C. de Blois

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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 Excel

Original language	English
Pages (from-to)	922-937
Journal	Environmental Modelling & Software
Volume	23
DOIs	https://doi.org/10.1016/j.envsoft.2007.10.006
Publication status	Published - 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 8 Decent Work and Economic Growth

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10.1016/j.envsoft.2007.10.006

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title = "Integrated modelling of risk and uncertainty underlying the selection of cost-effective water quality measures",

abstract = "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 Excel",

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AB - 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 Excel

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DO - 10.1016/j.envsoft.2007.10.006

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SP - 922

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JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

ER -

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

Abstract

UN SDGs

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