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- All Subjects: Civil Engineering
- Genre: Doctoral Dissertation
Description
Water resource management is becoming increasingly burdened by uncertain and fluctuating conditions resulting from climate change and population growth which place increased demands on already strained resources. Innovative water management schemes are necessary to address the reality of available water supplies. One such approach is the substitution of trade in virtual water for the use of local water supplies. This study provides a review of existing work in the use of virtual water and water footprint methods. Virtual water trade has been shown to be a successful method for addressing water scarcity and decreasing overall water consumption by shifting high water consumptive processes to wetter regions. These results however assume that all water resource supplies are equivalent regardless of physical location and they do not tie directly to economic markets. In this study we introduce a new mathematical framework, Embedded Resource Accounting (ERA), which is a synthesis of several different analytical methods presently used to quantify and describe human interactions with the economy and the natural environment. We define the specifics of the ERA framework in a generic context for the analysis of embedded resource trade in a way that links directly with the economics of that trade. Acknowledging the cyclical nature of water and the abundance of actual water resources on Earth, this study addresses fresh water availability within a given region. That is to say, the quantities of fresh water supplies annually available at acceptable quality for anthropogenic uses. The results of this research provide useful tools for water resource managers and policy makers to inform decision making on, (1) reallocation of local available fresh water resources, and (2) strategic supplementation of those resources with outside fresh water resources via the import of virtual water.
ContributorsAdams, Elizabeth Anne (Author) / Ruddell, Benjamin L (Thesis advisor) / Allenby, Braden R. (Thesis advisor) / Seager, Thomas P (Committee member) / Arizona State University (Publisher)
Created2013
Description
The resilience of infrastructure essential to public health, safety, and well-being remains a priority among Federal agencies and institutions. National policies and guidelines enacted by these entities call for a holistic approach to resilience and effectively acknowledge the complex, multi-organizational, and socio-technical integration of critical infrastructure. However, the concept of holism is seldom discussed in literature. As a result, resilience knowledge among disciplines resides in near isolation, inhibiting opportunities for collaboration and offering partial solutions to complex problems. Furthermore, there is limited knowledge about how human resilience and the capacity to develop and comprehend increasing levels of complexity can influence, or be influenced by, the resilience of complex systems like infrastructure. The above gaps are addressed in this thesis by 1) applying an Integral map as a holistic framework for organizing resilience knowledge across disciplines and applications, 2) examining the relationships between human and technical system resilience capacities via four socio-technical processes: sensing, anticipating, adapting, and learning (SAAL), and 3) identifying an ontological framework for anticipating human resilience and adaptive capacity by applying a developmental perspective to the dynamic relationships between humans interacting with infrastructure. The results of applying an Integral heuristic suggest the importance of factors representing the social interior like organizational values and group intentionality may be under appreciated in the resilience literature from a holistic perspective. The analysis indicates that many of the human and technical resilience capacities reviewed are interconnected, interrelated, and interdependent in relation to the SAAL socio-technical processes. This work contributes a socio-technical perspective that incorporates the affective dimension of human resilience. This work presents an ontological approach to critical infrastructure resilience that draws upon the human resilience, human psychological development, and resilience engineering literatures with an integrated model to guide future research. Human mean-making offers a dimensional perspective of resilient socio-technical systems by identifying how and why the SAAL processes change across stages of development. This research suggest that knowledge of resilient human development can improve technical system resilience by aligning roles and responsibilities with the developmental capacities of individuals and groups responsible for the design, operation and management of critical infrastructures.
ContributorsThomas, John E. (Author) / Seager, Thomas P (Thesis advisor) / Clark, Susan (Committee member) / Cloutier, Scott (Committee member) / Fisher, Erik (Committee member) / Arizona State University (Publisher)
Created2017
Description
This dissertation advances the capability of water infrastructure utilities to anticipate and adapt to vulnerabilities in their systems from temperature increase and interdependencies with other infrastructure systems. Impact assessment models of increased heat and interdependencies were developed which incorporate probability, spatial, temporal, and operational information. Key findings from the models are that with increased heat the increased likelihood of water quality non-compliances is particularly concerning, the anticipated increases in different hardware components generate different levels of concern starting with iron pipes, then pumps, and then PVC pipes, the effects of temperature increase on hardware components and on service losses are non-linear due to spatial criticality of components, and that modeling spatial and operational complexity helps to identify potential pathways of failure propagation between infrastructure systems. Exploring different parameters of the models allowed for comparison of institutional strategies. Key findings are that either preventative maintenance or repair strategies can completely offset additional outages from increased temperatures though-- improved repair times reduce overall duration of outages more than preventative maintenance, and that coordinated strategies across utilities could be effective for mitigating vulnerability.
ContributorsBondank, Emily (Author) / Chester, Mikhail V (Thesis advisor) / Ruddell, Benjamin L (Committee member) / Johnson, Nathan G (Committee member) / Seager, Thomas P (Committee member) / Arizona State University (Publisher)
Created2019
Description
A mathematical approach was developed to evaluate the resilience of coupled power-water networks using a variant of contingency analysis adapted from electric transmission studies. In particular, the “what if” scenarios explored in power systems research were extended and applied for coupled power-water network research by evaluating how stressors and failures in the water network can propagate across system boundaries and into the electric network. Reduction in power system contingency reserves was the metric for determining violation of N-1 contingency reliability. Geospatial considerations were included using high-resolution, publicly available Geographic Information System data on infrastructure in the Phoenix Metropolitan Area that was used to generate a power network with 599 transmission lines and total generation capacity of 18.98 GW and a water network with 2,624 water network lines and capacity to serve up to 1.72M GPM of surface water. The steady-state model incorporated operating requirements for the power network—e.g., contingency reserves—and the water network—e.g., pressure ranges—while seeking to meet electric load and water demand. Interconnections developed between the infrastructures demonstrated how alternations to the system state and/or configuration of one network affect the other network, with results demonstrated through co-simulation of the power network and water network using OpenDSS and EPANET, respectively. Results indicate four key findings that help operators understand the interdependent behavior of the coupled power-water network: (i) two water failure scenarios (water flowing out of Waddell dam and CAP canal flowing west of Waddell dam) are critical to power-water network N-1 contingency reliability above 60% power system loading and at 100% water system demand, (ii) fast-starting natural gas generating units are necessary to maintain N-1 contingency reliability below 60% power system loading, (iii) Coolidge Station was the power plant to most frequently undergo a reduction in reserves amongst the water failure scenarios that cause a violation of N-1 reliability, (iv) power network vulnerability to water network failures was non-linear because it depends on the generating units that are dispatched, which can vary as line thermal limits or unit generation capacities are reached.
ContributorsGorman, Brandon (Author) / Johnson, Nathan G (Thesis advisor) / Seager, Thomas P (Committee member) / Chester, Mikhail V (Committee member) / Arizona State University (Publisher)
Created2020