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A case-based reasoning tool to recommend drinking water source protection actions.

Jérôme Cerutti1, Irène Abi-Zeid2, Luc Lamontagne3

  • 1Graduate School of Land Management and Regional Planning, Université Laval, Quebec, Canada.

Journal of Environmental Management
|January 21, 2023
PubMed
Summary

We developed a case-based reasoning (CBR) system to help water managers identify effective drinking water source protection actions. This system utilizes nearly 200 past experiences, facilitating knowledge sharing and transfer for better water resource management.

Keywords:
Case-based reasoningDecision supportDesign science researchDrinking water source protectionWater management

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Artificial Intelligence

Background:

  • Water actors require support in identifying effective actions for drinking water source protection.
  • Existing knowledge on water protection strategies is often fragmented and difficult to access.
  • There is a need for systematic approaches to share and transfer best practices in water governance.

Purpose of the Study:

  • To model, design, implement, test, and validate a prototype case-based reasoning (CBR) system.
  • To support water actors in identifying appropriate actions for protecting drinking water sources.
  • To facilitate knowledge acquisition and structuring from water management and governance actors.

Main Methods:

  • Knowledge acquisition and structuring from 102 water management and governance actors in Quebec, Canada.
  • Development of a case base with nearly 200 past experiences of water protection actions.
  • Case engineering process involving content analysis for case attribute design.
  • Implementation and validation of the CBR prototype through a participatory procedure.

Main Results:

  • A functional prototype of a case-based reasoning (CBR) system for drinking water source protection was developed and validated.
  • The case base successfully organized diverse experiences across different decision-making scales and organizational types.
  • Participatory validation confirmed the system's utility and potential for knowledge sharing.

Conclusions:

  • The developed CBR system represents a novel approach to supporting water actors in drinking water source protection.
  • The study provides empirical evidence for the positive potential of CBR in knowledge sharing and transfer within water management.
  • The methodology and system can be generalized to support similar water protection initiatives in other contexts.