Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.790486
Title: Accounting for water-, energy- and food-security impacts in developing country water infrastructure decision-making under uncertainty
Author: Hurford, A. P.
ISNI:       0000 0004 8498 2426
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2016
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Abstract:
Decision makers lack information and tools to help them understand non-revenue impacts of different water infrastructure investment and operation decisions on different stakeholders in developing countries. These challenges are compounded by multiple sources of uncertainty about the future, including climatic and socio-economic change. Many-objective trade-off analysis could improve understanding of the relationships between diverse stakeholder-defined benefits from a water resources system. It requires a river basin simulation model to evaluate the performance of the system resulting from different decisions. Metrics of performance can be defined in conjunction with stakeholders, relating the level of benefits they receive (monetised or otherwise) to flows or storages in the system. Coupling the model to a many-objective search algorithm allows billions of possible combinations of available decisions to be efficiently filtered to find those which maximise stakeholder benefits. Competition for water requires trade-offs, so a range of options can be generated which share resources differently. Uncertainties can be included in the analysis to help identify sets of decisions which provide acceptable benefits regardless of the future which manifests, i.e. perform robustly. From these options, decision makers can select a balance representing their preferences. This thesis reports the development of such a state-ofthe-art approach through applications in three real-world developing country contexts, with increasing levels of complexity and uncertainty. The first application in Brazil's Jaguaribe Basin uses environmental and livelihoods indicators to help re-operate three existing dams. The second in Kenya's Tana Basin adds new irrigation infrastructure investment options to decisions about re-operating a cascade of five existing dams in a more complex case. Finally robust portfolios of new hydropower investments are identified in Nepal's Koshi Basin, accounting for climate and other uncertainties using a four-phased analytical approach. These applications confirm the approach's utility and inform future research and practical use.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.790486  DOI: Not available
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