Sustainable, Robust, and Resilient Water Resources Planning and Management
PublisherThe University of Arizona.
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EmbargoRelease after 4-Jan-2020
AbstractSustainable, robust, and resilient water resources planning and management (WRPM) has emerged as a major concern, not only for decision makers and water utilities but also for academic researchers. A water resources system is very complex since its enormous number and diverse components are connected and interrelated. To establish effective management and planning for the water resources system, decision makers and planners can disaggregate large water resources systems into multiple scales based on geographical boundaries and the management and planning goals. Arizona’s water resources system can be divided into basin, state, planning area, and local planning area scales. Each scale requires a different approach and models depending on the WRPM goals. This dissertation takes a comprehensive view of sustainable, robust, and resilient WRPM for multi-scale Arizona water resources systems (state, planning area, and local planning area scales). This dissertation is composed of three studies with four journal articles that address sustainable, robust, and resilient WRPM. First, for the state and planning area scale, a large food-energy-water system model is developed for Arizona using a system dynamic modeling approach. Using the model, effectiveness of potential alternatives including graywater reuse, rainwater harvesting, demand reduction, and groundwater importation that promise sustainable water use are evaluated. Second, at the regional planning area scale, impacts of various strategies on the robustness and resilience of regional water supply system (RWSS) during major component failure for a region in southwest Tucson, AZ are assessed. The strategies include (1) restricting water demand, (2) constructing pipelines as alternative water supply pathways, (3) building water tanks as backup water storages, and (4) maintaining the Central wellfield as a backup source. Finally, the impact of network topology within water distribution system (WDS)/water distribution network (WDN) on (1) the accuracy of the first-order second-moment (FOSM) approximation when it is employed as a nodal pressure head uncertainty estimation method and (2) WDN robustness and resiliency. To that end, a quantitative WDS classification scheme that classify a WDS based on its function and network topology are developed. Using the classification scheme, network topology within WDS is identified and used for the analyses.
Degree ProgramGraduate College