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PubMed · 16477972

Planning, modelling and assessing source control concepts on catchment scale.

C Peters·R Mühleck·H Sieker·M Jekel
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Abstract

Today's water management practice was identified often not to be consistently structured. Usually the decision space is not clearly depicted and then systematically explored. Often stakeholders are involved too late and many objectives are neglected. An adaptive DSS is being developed to help overcoming these problems. Core of the DSS is a "decision matrix", which has been implemented as a web based application (www.wsm300.de). The management objectives are represented by the indicators labelling the rows. They will be the result of a discussion of the objectives and problems in the specific sub-basin, which is supported by the catalogue of indicators. The columns of the matrix are specified by the scenarios whose development is supported by the database of measures and a Geographical Information System (GIS). The matrix, once the labels are defined, serves as a plot for the planning process, defining clearly which objectives have to be considered and which indicator-values have to be calculated. The DSS further includes a concept and tools for the combination of existing software components and supports the processing of model-outputs to indicator-values. Filled with the indicator-values the matrix allows a comparison of the scenarios and provides a good base for a decision. Multi-criteria decision aid methods can (if desired) further help to find the optimal scenario and to mediate between stakeholders. Finding the optimal scenario will likely be an iterative process.

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Databases, FactualDecision Support TechniquesEnvironmental ExposureEnvironmental MonitoringGeographic Information SystemsGeographyGermanyHumansModels, BiologicalPolicy MakingProgram EvaluationRefuse DisposalRisk AssessmentWater SupplyJournal ArticleResearch Support, Non-U.S. Gov't

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C Peters, R Mühleck, H Sieker, M Jekel. 2005. Planning, modelling and assessing source control concepts on catchment scale.. https://pubmed.ncbi.nlm.nih.gov/16477972/

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