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Dynamic Programming Based Operation Of Reservoirs

Author: K. D. W. Nandalal
Publisher: Cambridge University Press
ISBN: 1139464957
Size: 10.70 MB
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Dynamic programming is a method of solving multi-stage problems in which decisions at one stage become the conditions governing the succeeding stages. It can be applied to the management of water reservoirs, allowing them to be operated more efficiently. Originally published in 2007, this is one of the few books dedicated solely to dynamic programming techniques used in reservoir management. It presents the applicability of these techniques and their limits on the operational analysis of reservoir systems. The dynamic programming models presented in this book have been applied to reservoir systems all over the world, helping the reader to appreciate the applicability and limits of these models. The book also includes a model for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water resources and engineering, as well as professionals in reservoir management.

Water Ecosystem Services

Author: Julia Martin-Ortega
Publisher: Cambridge University Press
ISBN: 1316300811
Size: 43.81 MB
Format: PDF, ePub
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This comprehensive volume describes how ecosystem services-based approaches can assist in addressing major global and regional water challenges, such as climate change, biodiversity loss, and water security in the developing world, by integrating scientific knowledge from different disciplines, such as hydrological modelling, environmental economics, psychology and international law. Empirical assessments at the national, catchment and regional levels are used to critically appraise this systemic approach, and the merits and potential limitations are presented. The practicalities of this approach with regard to water resources management, nature conservation, and sustainable business practices are discussed, and the role of society in underpinning the concept of ecosystem services is explored. Presenting new insights and perspectives on how to shape future strategies, this contributory volume is a valuable reference for researchers, academics, students and policy makers, in environmental studies, hydrology, water resource management, ecology, environmental law, policy and economics, and conservation biology.

Groundwater Modelling In Arid And Semi Arid Areas

Author: Howard S. Wheater
Publisher: Cambridge University Press
ISBN: 1139489720
Size: 46.84 MB
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Arid and semi-arid regions face major challenges in the management of scarce freshwater resources under pressures of population, economic development, climate change, pollution and over-abstraction. Groundwater is commonly the most important water resource in these areas. Groundwater models are widely used globally to understand groundwater systems and to guide decisions on management. However, the hydrology of arid and semi-arid areas is very different from that of humid regions, and there is little guidance on the special challenges of groundwater modelling for these areas. This book brings together the experience of internationally leading experts to fill a gap in the scientific and technical literature. It introduces state-of-the-art methods for modelling groundwater resources, illustrated with a wide-ranging set of illustrative examples from around the world. The book is valuable for researchers, practitioners in developed and developing countries, and graduate students in hydrology, hydrogeology, water resources management, environmental engineering and geography.

A Unified State Space And Scenario Tree Framework For Multi Stage Stochastic Optimization

Author: Steffen Rebennack
Publisher:
ISBN:
Size: 42.38 MB
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ABSTRACT: In the hydro-thermal scheduling problem, one is interested in determining the optimal operating policy for the use of hydro and thermal resources in order to minimize total expected costs of fulfilling the demand for electricity over a given time horizon. Originally proposed in 1991 by Pereira and Pinto, Stochastic Dual Dynamic Programming (SDDP) remains to date the most efficient algorithm which is able to cope with inflow uncertainty and a detailed representation of a system's characteristics. In this dissertation, we propose several extensions of the SDDP methodology: We embed the SDDP algorithm into a scenario tree framework, incorporate CO2 emission allowance constraints, and supplement the profit maximization models to account for CO2 emission allowance markets. These extensions allows us to additionally deal with uncertainties related to the evolution of demand and fuel prices. From a practical standpoint, this is an innovation as fuel price and electricity demand uncertainty could not be taken into account efficiently in hydro-thermal power systems so far, and from a technical standpoint, this is a new approach unifying the state-space and scenario tree framework. The importance of such an approach was made evident by the global economic crisis of 2008 when several countries experienced huge variations in demand and faced 13 sudden and sharp increases in fuel costs due to oil price swings, with implications not only on total incurred costs but also regarding security of supply.