Optimization of River and Lake Monitoring Programs Using a Participative Approach and an Intelligent Decision-Support System

We developed a holistic intelligent decision-support system (IDSS) to provide decision-support for all steps in planning, managing and optimizing water quality monitoring programs (WQMPs). The IDSS is connected to a previously developed database, EnkiTM. The IDSS integrates tacit and explicit knowle...

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Bibliographic Details
Published in:Applied sciences 2019-10, Vol.9 (19), p.4157
Main Authors: Behmel, Sonja, Damour, Mathieu, Ludwig, Ralf, Rodriguez, Manuel
Format: Article
Language:English
Subjects:
Case studies
Cyanobacteria
data management
Decision making
Environmental monitoring
expert knowledge
intelligent decision support system
Laboratories
Lakes
Monitoring
Objectives
Optimization
Planning
Rivers
Stakeholders
Statistical analysis
Water quality
Water quality management
Watersheds
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Summary:We developed a holistic intelligent decision-support system (IDSS) to provide decision-support for all steps in planning, managing and optimizing water quality monitoring programs (WQMPs). The IDSS is connected to a previously developed database, EnkiTM. The IDSS integrates tacit and explicit knowledge on WQMPs to standardize decision making and to make decisions transparent and transferable. The optimization features of the IDSS were tested on a lake and a river WQMP from two case studies in Canada. We illustrate how the IDSS provides decision support to understanding the underlying rationale of the existing WQMPs, validating and storing data, selecting optimization procedures proposed in the literature, applying the optimization procedures and finalizing the optimization procedure. We demonstrated that the IDSS/EnkiTM is necessary to take and document decisions during all phases of a WQMP to obtain a clear idea of when and why changes are made and determine actionable tasks in the optimization process.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9194157