Participatory development of a Bayesian network model for catchment-based water resource management

Chan, T., Ross, H., Hoverman, S. and Powell, B. (2010) Participatory development of a Bayesian network model for catchment-based water resource management. Water Resource Research, 46 7: W07544-1-W07544-12. doi:10.1029/2009WR008848

Author Chan, T.
Ross, H.
Hoverman, S.
Powell, B.
Title Participatory development of a Bayesian network model for catchment-based water resource management
Journal name Water Resource Research   Check publisher's open access policy
ISSN 0043-1397
Publication date 2010-07-30
Sub-type Article (original research)
DOI 10.1029/2009WR008848
Volume 46
Issue 7
Start page W07544-1
End page W07544-12
Total pages 12
Place of publication Washington, United States
Publisher American Geophysical Union
Collection year 2011
Language eng
Abstract A participatory approach was used to develop a Bayesian network model for assisting integration of water resource management in the Kongulai catchment in the Solomon Islands. This catchment provides 40–60% of the water for Honiara, the capital, and management is complex, with sparse data and many competing uses including drinking, domestic, agricultural, and industrial uses for both water and land in the catchment, as well as a range of threats from pollution, increasing population, changing land use, and variable hydrogeology. There are socioeconomic considerations including customary landownership and overlapping institutional responsibilities. A participatory process involving representative stakeholders of three main groups, the customary landowners, the government, and nongovernmental organizations, was central to analyzing the system and building trust in the model development process and model outcomes, and additionally facilitated relationship building between the different groups affecting, and affected by, the catchment. A conceptual model of the Kongulai system with respect to water was developed with all stakeholders. Further elicitation of quantitative aspects took place with a subset of water management professionals for development into a working Bayesian network model. Stakeholder representatives were then presented with the model, some analysis, and scenarios for discussion and feedback. The model provided a number of recommendations that support local management decision making, which were accepted by the wider stakeholder group. The process demonstrates the worth of a well‐designed participatory approach to enhance stakeholder contributions and confirms the appropriateness of Bayesian networks for use in developing country contexts where capacity and data may be scarce. © 2010 by the American Geophysical Union.
Keyword Decision-support systems
Risk assessment
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article# W07544, pp.1-12

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Agriculture and Food Sciences
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Created: Sun, 22 Aug 2010, 00:00:18 EST