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Multicriteria decision support system to delineate water resources planning and management regions

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dc.contributor.authorCoelho Maran, Ana Carolina, author
dc.contributor.authorFontane, Darrell G., advisor
dc.contributor.authorBraga, Benedito P. F., committee member
dc.contributor.authorVlachos, Evan C., committee member
dc.contributor.authorLabadie, John W., committee member
dc.contributor.authorMumme, Stephen P., committee member
dc.date.accessioned2022-04-20T14:27:32Z
dc.date.available2022-04-20T14:27:32Z
dc.date.issued2010
dc.descriptionCovers not scanned.
dc.descriptionPrint version deaccessioned 2022.
dc.description.abstractThe lack of uniform and integrated water resources regions that support sustainable water management within river basins is a critical issue. Overlapping and redundant efforts in planning and management result from conflicting water resources regions, which hamper Integrated Water Resources Management (IWRM). In addition, the process of delineating these regions has often been executed without sufficient scientific support or a commonly agreed upon approach, usually resulting from political and historical circumstances. In spite of this, it is possible to improve the results by using knowledge gained from prior experiences, employing modern techniques, improving decision support systems (DSS), and also by taking into account multiple stakeholders’ interests. In order to harmonize multiple objectives, promote good governance practices and reflect the linkages between environmental, socioeconomic, political and historical aspects, it is imperative to define appropriate territorial limits for water resources planning and management regions. Given the presented problem, this study introduces an approach to support the process of delineating water resources regions based upon recognition of more comprehensive aspects and incorporation of these aspects into a DSS. A harmonized division of water resources regions, agreed upon between stakeholders, is the first step to promoting IWRM, furthering cross boundary cooperation and preventing conflicts. The proposed Water Resources Planning and Management Regions (WARPLAM) DSS is designed to be used by federal and state governments, international commissions and water councils. Although river basins are considered to be the most suitable boundaries to attain IWRM goals, the proposed DSS simulation model offers the option for decision makers to include socioeconomic, political and environmental aspects into the analysis. Its main goals are to promote a common approach relating to the reasoning used in this process and to reinforce the principles of IWRM. It is based upon the use of geographic information systems (GIS), knowledge-based systems (KBS) and multi-criteria decision analysis (MCDA) combined with cluster analysis, dynamic programming (DP) and fuzzy analysis. WARPLAM DSS is also a flexible solution to support the delineation of regions in multiple levels of subsidiarity and to be adaptable to regional characteristics. The process of developing WARPLAM DSS can be summarized into the following three main phases: Phase 1) Evaluating the aspects related to the delineation of water resources planning and management regions through a comparative analysis in eleven different countries; Phase 2) Building the DSS through the definition of a suitable approach utilizing the aspects identified in Phase 1; and Phase 3) Demonstrating the capability of WARPLAM DSS through a case study in Brazil. The results of the study illustrate the potential for exploring different options for defining water resources regions depending upon the water resources management objectives and priorities. It is demonstrated that additional aspects, beyond solely river basin limits are being adopted in several countries. In addition, the results show that WARPLAM DSS provides a multifaceted and comprehensive solution to the complex issue of delineating water resources regions. The proposed DSS can also support multiple interests and multiple users; capacity building and access to knowledge from prior experiences; human judgment, intuition, experience and preferences; and flexibility. The building and operating of the DSS into an integrated system between ArcGIS and Excel is an adequate solution to address the user-end focus. Moreover, the combination of GIS with Cluster Analysis and DP in an adequate approach to address the presented needs. Finally, it is expected that WARPLAM DSS will improve the chances of successful IWRM practices, help lessen the boundary effects and promote cross-boundary cooperation, as well as support future decision-making processes and facilitate multiple stakeholders’ involvement. Key Terms: water resources planning and management, institutional framework, IWRM, decision support systems, GIS, cluster analysis, dynamic programming.
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/10217/234732
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991014918529703361
dc.relationTC409 .C64 2010
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subject.lcshWater resources development -- Planning
dc.subject.lcshWater resources development -- Management
dc.subject.lcshWater resources development -- Geographic information systems
dc.subject.lcshDynamic programming
dc.subject.lcshMultiple criteria decision making -- Methodology
dc.titleMulticriteria decision support system to delineate water resources planning and management regions
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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