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Full-Text Articles in Architecture
Incorporating Deeply Uncertain Factors Into The Many Objective Search Process To Improve Adaptation To Environmental Change, Abigail Ashley Watson
Civil Engineering Graduate Theses & Dissertations
Deep uncertainty refers to situations in which decision makers do not know, or cannot agree upon, the full suite of risks within a planning problem. This thesis reviews frameworks proposed for planning under deep uncertainty. One framework, Many Objective Robust Decision Making (MORDM), combines two techniques: evolutionary algorithm search used to optimize planning alternatives and robust decision making used to sample performance over many plausible factors and choose a robust solution.
We present a methodology that modifies the uncertain input selected within the MOEA search process. Using a case study of water planning in the Lower Rio Grande Valley (LRGV ...
Adaptive Water Management: Alternatives To Close The Supply-Demand Gap In The Northern Colorado Water Conservancy District, Colin Mayberry
Undergraduate Honors Theses
Population growth and climate change present water providers with management challenges to maintaining the supply, affordability, and reliability of water resources. In the Northern Colorado Water Conservancy District (Northern Water), population growth poses a 110,000 acre-feet supply-demand gap by the year 2050. Moreover, climatic shifts will simultaneously shift the timing, type, and distribution of expected precipitation. Predict-and-control strategies and traditional agricultural-municipal water transfers are not well-suited to manage water resources in a future dominated by uncertainties. This thesis proposes an adaptive management strategy for the Northern Colorado Water Conservancy District (Northern Water). It presents a novel approach to water ...