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Description
Aquifers host the largest accessible freshwater resource in the world. However, groundwater reserves are declining in many places. Often coincident with drought, high extraction rates and inadequate replenishment result in groundwater overdraft and permanent land subsidence. Land subsidence is the cause of aquifer storage capacity reduction, altered topographic gradients which

Aquifers host the largest accessible freshwater resource in the world. However, groundwater reserves are declining in many places. Often coincident with drought, high extraction rates and inadequate replenishment result in groundwater overdraft and permanent land subsidence. Land subsidence is the cause of aquifer storage capacity reduction, altered topographic gradients which can exacerbate floods, and differential displacement that can lead to earth fissures and infrastructure damage. Improving understanding of the sources and mechanisms driving aquifer deformation is important for resource management planning and hazard mitigation.

Poroelastic theory describes the coupling of differential stress, strain, and pore pressure, which are modulated by material properties. To model these relationships, displacement time series are estimated via satellite interferometry and hydraulic head levels from observation wells provide an in-situ dataset. In combination, the deconstruction and isolation of selected time-frequency components allow for estimating aquifer parameters, including the elastic and inelastic storage coefficients, compaction time constants, and vertical hydraulic conductivity. Together these parameters describe the storage response of an aquifer system to changes in hydraulic head and surface elevation. Understanding aquifer parameters is useful for the ongoing management of groundwater resources.

Case studies in Phoenix and Tucson, Arizona, focus on land subsidence from groundwater withdrawal as well as distinct responses to artificial recharge efforts. In Christchurch, New Zealand, possible changes to aquifer properties due to earthquakes are investigated. In Houston, Texas, flood severity during Hurricane Harvey is linked to subsidence, which modifies base flood elevations and topographic gradients.
ContributorsMiller, Megan Marie (Author) / Shirzaei, Manoochehr (Thesis advisor) / Reynolds, Stephen (Committee member) / Tyburczy, James (Committee member) / Semken, Steven (Committee member) / Werth, Susanna (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Speculation regarding interstate conflict is of great concern to many, if not, all people. As such, forecasting interstate conflict has been an interest to experts, scholars, government officials, and concerned citizens. Presently, there are two approaches to the problem of conflict forecasting with divergent results. The first tends to use

Speculation regarding interstate conflict is of great concern to many, if not, all people. As such, forecasting interstate conflict has been an interest to experts, scholars, government officials, and concerned citizens. Presently, there are two approaches to the problem of conflict forecasting with divergent results. The first tends to use a bird’s eye view with big data to forecast actions while missing the intimate details of the groups it is studying. The other opts for more grounded details of cultural meaning and interpretation, yet struggles in the realm of practical application for forecasting. While outlining issues with both approaches, an important question surfaced: are actions causing interpretations and/or are the interpretations driving actions? In response, the Theory of Narrative Conflict (TNC) is proposed to begin answering these questions. To properly address the complexity of forecasting and of culture, TNC draws from a number of different sources, including narrative theory, systems theory, nationalism, and the expression of these in strategic communication.

As a case study, this dissertation examines positions of both the U.S. and China in the South and East China Seas over five years. Methodologically, this dissertation demonstrates the benefit of content analysis to identify local narratives and both stabilizing and destabilizing events contained in thousands of news articles over a five-year period. Additionally, the use of time series and a Markov analysis both demonstrate usefulness in forecasting. Theoretically, TNC displays the usefulness of narrative theory to forecast both actions driven by narrative and common interpretations after events.

Practically, this dissertation demonstrates that current efforts in the U.S. and China have not resulted in an increased understanding of the other country. Neither media giant demonstrates the capacity to be critical of their own national identity and preferred interpretation of world affairs. In short, the battle for the hearts and minds of foreign persons should be challenged.
ContributorsNolen, Matthew Scott (Author) / Corman, Steven R. (Thesis advisor) / Adame, Bradley (Committee member) / Simon, Denis (Committee member) / Arizona State University (Publisher)
Created2017
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Description
Personal training is a growing industry as individuals across the U.S. face increasing levels of physical and psychological health issues. Hiring a certified personal trainer (CPT) presents an opportunity to not only become healthier, but also to grow one’s knowledge and abilities; researchers refer to this process as self-expansion. This

Personal training is a growing industry as individuals across the U.S. face increasing levels of physical and psychological health issues. Hiring a certified personal trainer (CPT) presents an opportunity to not only become healthier, but also to grow one’s knowledge and abilities; researchers refer to this process as self-expansion. This research sought to specify a path model of the self-expansion process clients experience while training with their CPT. Secondly, this research described clients’ self-reported disclosure patterns with their CPT. Using Amazon’s Mechanical Turk and ResearchMatch, the study sampled N = 392 U.S. residents who reported training with a CPT. Results from the path analysis indicated poor global fit; however, local fit supported several statistically significant paths. Clients’ level of internal motivation was positively associated with their self-disclosure, self-expansion, and self-pruning. Clients’ self-disclosure was positively associated with perceived closeness with their CPT. Contrary to prediction, clients’ perceived closeness was negatively associated with perceived support from their CPT. However, clients’ perceived closeness and perceived levels of support were both positively associated with their reported levels of self-expansion. Regarding clients’ disclosures, results indicated that clients primarily discuss physical training, diet and nutrition, and health concerns. Thematic analysis of self-reported disclosure examples revealed discussion topics including body dysmorphia, loss and grief, mental health, personal relationships, physical health, professionalism, support seeking, trainer sharing, and trust. Theoretical implications for the self-expansion model include support for additional variables in the self-expansion process, including motivation, self-disclosure, perceived support, and self-pruning. Additionally, practical recommendations for CPTs include an awareness of the type of relationship that clients may desire, as closeness may inhibit perceptions of support with training. Further, CPTs should be aware of the disclosures they may encounter, as clients may share intimate information and seek social support. As such, training programs should include sections on active listening and empathy and require CPTs to be knowledgeable of community resources in the event of a disclosure that presents a serious health risk to the client. Additional research is necessary, particularly to investigate closeness in the self-expansion process, as it did not function as expected within service and professional relationships.
ContributorsShufford, Kevin Nelson (Author) / Adame, Bradley (Thesis advisor) / Randall, Ashley K (Thesis advisor) / Mongeau, Paul (Committee member) / Arizona State University (Publisher)
Created2021