國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia./
作者:	Zhang, Ying.
面頁冊數:	1 online resource (160 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
標題:	Water resources management. -
電子資源:	click for full text (PQDT)
ISBN:	9781369484694

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

Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia. - 1 online resource (160 pages)

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369484694Subjects--Topical Terms:

1178858
Water resources management.
Index Terms--Genre/Form:

554714
Electronic books.

Hydroclimatic prediction and projection to guide decision-making for agricultural planning, economic development, and reservoir filling in Ethiopia.
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504 $a Includes bibliographical references
520 $a 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.
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