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Accueil du site → Doctorat → États-Unis → 2017 → Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia

University of Wisconsin - Madison (2017)

Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia

Zhang, Ying.

Titre : Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia

Auteur : Zhang, Ying.

Université de soutenance : University of Wisconsin - Madison,

Grade : Doctor of Philosophy (PhD) (Civil and Environmental Engineering) 2017

Résumé
Water is vital to life. Irregular distribution of fresh water in both time and space can cause excess and scarcity, floods and droughts, food and energy crises, water conflicts, and many other physical and social challenges. To efficiently utilize and manage water resources requires a thorough understanding of climate, hydrology, social and economic aspects in the spatial-temporal distribution of water resources, potential optimal responsive strategies, and associated social welfare. In this dissertation, the ability of hydroclimatic prediction to skillfully guide decision making for agricultural planning (Chapter 1, 2, and 3) and the application of hydroclimatic projection to inform reservoir filling (Chapter 4 and 5) are explored. Specifically, Chapter 1 addresses various clustering methods for regionalization given high spatial-temporal variation in seasonal precipitation and proposes new clustering criteria. The resulting homogenous regions are applied in Chapter 2 to produce (spatially) high-resolution season-ahead precipitation predictions. Chapter 3 focuses on understanding and quantifying the potential value of prediction in agricultural planning using an agro-economic model. Based on projections of climate variability and climate change, Chapter 4 highlights the importance of considering reservoir filling policies for the Grand Ethiopian Renaissance Dam (GERD) and implications on downstream riparian countries. Chapter 5 presents wavelet analysis to include latent hydroclimatic signals in projections and explores additional filling policies to investigate their effects on GERD hydropower production for the upstream country in addition to downstream releases.

ProQuest

Page publiée le 10 octobre 2017, mise à jour le 3 février 2019