Water Supply Vulnerability Testing and Robust Planning Analysis with Exploratory Modeling under Deep Uncertainty

dc.contributor.advisorBedient, Phil
dc.contributor.advisorDoss-Gollin, James
dc.creatorGraham, Alyssa A
dc.date.accessioned2022-09-23T21:23:17Z
dc.date.available2022-09-23T21:23:17Z
dc.date.created2022-05
dc.date.issued2022-04-19
dc.date.submittedMay 2022
dc.date.updated2022-09-23T21:23:17Z
dc.description.abstractHouston faces growing population and severe droughts, suggesting a need for robust water supply planning. Current literature proposes an exploratory modeling approach; however, Texas regions typically project water needs as point predictions based on historical droughts and an uncertainty factor. This thesis employs exploratory modeling to identify under which drought and demand conditions Houston’s water will be insufficient. The model includes a reservoir mass balance, Monte Carlo simulation to generate scenarios, and scenario discovery of shortages regardless of likelihood. Scenarios are compared to projections for context. Generally, scenarios with higher demand and 2011 drought demonstrated moderate supply shortage; scenarios with worse drought demonstrated extreme supply shortage. Houston’s proposed strategies mitigated higher demand, but had negligible mitigation for worse drought conditions. Given that climate change is expected to exacerbate droughts in Texas, this analysis underscores a need for water resource management in Houston to explore many possible futures.
dc.format.mimetypeapplication/pdf
dc.identifier.citationGraham, Alyssa A. "Water Supply Vulnerability Testing and Robust Planning Analysis with Exploratory Modeling under Deep Uncertainty." (2022) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/113327">https://hdl.handle.net/1911/113327</a>.
dc.identifier.urihttps://hdl.handle.net/1911/113327
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectvulnerability
dc.subjectwater supply
dc.subjectdeep uncertainty
dc.subjectclimate change
dc.subjectexploratory modeling
dc.subjectHouston
dc.subjectTexas
dc.titleWater Supply Vulnerability Testing and Robust Planning Analysis with Exploratory Modeling under Deep Uncertainty
dc.typeThesis
dc.type.materialText
thesis.degree.departmentCivil and Environmental Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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