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Adaptive Multi-reservoir-based Flood Control and Management for the Yellow River
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Adaptive Multi-reservoir-based Flood Control and Management for the Yellow River : Towards a Next Generation Software System - UNESCO-IHE PhD Thesis

Book Details

Format Paperback / Softback
ISBN-10 1138001023
ISBN-13 9781138001022
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 26th, 2013
Print length 200 Pages
Weight 362 grams
Product Classification: Information technology: general issues
Ksh 10,450.00
Werezi Extended Catalogue 0 in stock

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The Yellow River experienced many major floods in the past. The Yellow River Conservancy Commission (YRCC) of the Ministry of Water Resources constructed a number of reservoirs for flood control and water management. The operation of the multi-reservoir system requires adaptive management procedures to deal with changing reservoir storage conditions and effects of climate change.

New software tools were explored in this thesis and a robust algorithm was developed to deal with multi-valued storage-release relations. Also, appropriate software architectures were explored combining model-based simulation systems with a data-centered approach. Case study applications show that such approach is feasible for developing the next generation software systems for adaptive management and decision support of complex river systems.

The Yellow River experienced many major floods in the past, often with catastrophic effects for the North China Plain. After establishing the Yellow River Conservancy Commission (YRCC) of the Ministry of Water Resources, a number of reservoirs were constructed for flood control and water resources management. For the mid and lower Yellow River, the operation of the multi-reservoir system plays an essential role in minimizing possible damage in relevant regions. In order to deal with changing reservoir storage conditions and variable river discharges due to climate change, adaptive management procedures are required.

At present the decision making process takes place in collective management meetings with the support of numerical simulations for flood simulation. There is a need to develop new software tools to achieve more effective decision support within precious lead time. Also, a special robust routing technique was needed as developed in this thesis for accurate and robust flood routing that can deal with multi-valued storage-release relations.

Nowadays advanced numerical flood simulation models are available with great level of detail and high computational efficiency. Also, appropriate software architectures are capable of combining model-based simulation systems with a data-centered approach at near real-time operational performance. Case study applications show that such approach is feasible for the next generation software systems for adaptive management and decision support of complex river systems.


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