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Journal ArticleDOI

Intelligent Decision Support and Reservoir Management and Operations

01 Oct 1989-Journal of Computing in Civil Engineering (American Society of Civil Engineers)-Vol. 3, Iss: 4, pp 367-385
TL;DR: The presentation is illustrated with an example of an engineering expert system for reservoir analysis that is currently in development, and the potential benefits of this technology in the area of reservoir management and operations are presented.
Abstract: Reservoir management and operations are very complex activities in the field of water resources engineering. During the last two decades, a number of systems analysis techniques, particularly optimization and simulation, have been adopted for reservoir planning, design, and operations. Recently, the area of knowledge-based engineering (expert systems) has emerged as a potential technique for incorporationg human expertise and some degree of intelligent judgment into decision-supporting software. This paper presents the potential benefits of this technology in the area of reservoir management and operations. The presentation is illustrated with an example of an engineering expert system for reservoir analysis that is currently in development.
Citations
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Journal ArticleDOI
TL;DR: A simple simulation-optimization model for reservoir sizing has been presented as an example of systems approach respond to practical needs of water resources engineers, and the benefits of knowledge-based technology with regard to single-multipurpose reservoir analysis.
Abstract: During the past three decades, the application of the systems approach to reservoir management and operations has been established as one of the most important advances made in the field of water resources engineering A primary role of systems analysis is to provide an improved basis for decision making It has been concluded that a gap still exists between research studies and the application of a systems approach in practice The objective of this paper is to provide a short review of the mathematical models used in reservoir management and operations, to present conclusions reached by previous state-of-the-art reviews, and to provide two ideas for closing the gap between theory and practice First, a simple simulation-optimization model for reservoir sizing has been presented as an example of systems approach respond to practical needs of water resources engineers The second example illustrates the benefits of knowledge-based technology with regard to single-multipurpose reservoir analysis

266 citations

Journal ArticleDOI
TL;DR: The need for a methodological approach to give a first answer to the question of how integration and participation are to be promoted in their implementation is argued and a Participatory and Integrated Planning (PIP) procedure developed for that purpose is proposed.
Abstract: Integrated Water Resources Management (IWRM) is emerging as a worldwide agreed alternative to the reductionist and top-down approach that was central to the water resource management in the last century. It has been adopted by the Water Framework Directive, the most ambitious and influential water policy tool of these days, as the guiding principle for the development of River Basin Management Plans (RBMP) that will be the common tool for planning and managing water resource in Europe in the next years. Although the purpose and priorities of the RBMPS are clearly and unambiguously defined, the question of how integration and participation are to be promoted in their implementation has not been adequately addressed. This might be partially attributable to the central role generally assigned to the modelling issues with respect to the decision-making process, which is behind the definition of RBMPS and of which models are an essential – but not the only – element. This paper argues the need for a methodological approach to give a first answer to the question posed above and proposes a Participatory and Integrated Planning (PIP) procedure developed for that purpose. The PIP procedure is a 9 phases procedure that, starting from the identification of the goals of the planning activity, ends with a negotiation process among the stakeholders that produces a set of compromise alternatives to be submitted to the decision maker(s) for the final political decision. The procedure is presented both in its theoretical aspects and as an application to the planning of the Lake Maggiore, a transboundary water system between Italy and Switzerland. This application came out with a solution that will probably close a long-standing controversial between the two countries: it is strongly supported by the stakeholders of both the sides and the international agreement it requires is presently under consideration of the Foreign Offices of the two countries. The role for Multi Objective Decision Support Systems (MODSS) as prime tools to support and operationalize the procedure in practice is finally considered.

111 citations

Journal ArticleDOI
TL;DR: In this paper, the main discussion is devoted to decision support systems (DSS) and their role in sustainable development, with special emphasis on the modtjications required to address the principles of sustainability.
Abstract: The new ethic of sustainable development reinforces and extends the main principles of water resources management. Computer-based decision support systems are explored in order to identify their role in the implementation of these principles into water resource management practice. The presentation is divided in two parts. This article starts with the general definition of sustainable development. A set of principles is then identified, and a short discussion of three main subsystems (ecological, economic, and social) follows. The main discussion is devoted to decision support systems (DSS) and their role in sustainable development. Discussion of DSS characteristics, architecture, and main components is provided, with special emphasis on the modtjications required to address the principles of sustainability A second article in this issue presents four successful case studies of decision support systems for sustainable management of water resources.

87 citations

Posted Content
Matthew McCartney1
TL;DR: In this article, the authors proposed the use of decision support systems to assist in the planning and operation of dams, which can contribute to these objectives and can also enhance gains in economic, social and environmental benefits.
Abstract: Dams are amongst the most important components of water resource systems. In many places the water regulated by and stored in dams is essential to meet the development objectives of water supply, agriculture (i.e. irrigation and livestock), industry, energy generation and other sectors. However, in the absence of adequate foresight and planning for adverse impacts, past dam construction has often resulted in devastating effects for ecosystems and the livelihoods of affected communities. Participation of stakeholders in the decision-making process and increased equity in the distribution of benefits are prerequisites to mitigating dam related conflicts and ensuring sustainable projects. Appropriate use of decision support systems to assist in the planning and operation of dams can contribute to these objectives and can also enhance gains in economic, social and environmental benefits.

60 citations


Cites background from "Intelligent Decision Support and Re..."

  • ...Numerous researchers have developed computer-based DSSs for the management and operation of reservoirs and river systems (e.g., Simonovic and Savic 1989; Jolma 1994; DeGagne et al. 1996; Koutsoyiannis et al. 2002)....

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  • ...Computer-based DSS for water resource management and, specifically for dam planning and operation, have been used extensively in Africa (Table 4)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, an expert system called Intelligent Flood Management System for the selection of appropriate flood damage reduction measures for a given area is described, which is based on hydraulic, hydrological, geotechnical, environmental and economic factors related to the river system and the area to be protected from floods.
Abstract: Heuristic knowledge has been integrated with analytical tools to support decision making for flood management. Development of an expert system called Intelligent Flood Management System for the selection of appropriate flood damage reduction measures for a given area is described. The selection of flood damage reduction measures is based on hydraulic, hydrological, geotechnical, environmental, and economic factors related to the river system and the area to be protected from floods. The knowledge base of the Intelligent Flood Management System is generic and can be used to identify a suitable flood management option for any area. The model base of the Intelligent Flood Management System consists of the hydraulic analysis package HEC-RAS, the flood damage analysis program HEC-FDA, and a model for economic analysis. The graphical user interface is developed for effective communication with the system. The developed system has been implemented to identify appropriate flood damage reduction options for the to...

56 citations


Cites background from "Intelligent Decision Support and Re..."

  • ...Simonovic and Savic (1989) presented an intelligent decision support system for reservoir management and operations....

    [...]

References
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Book
01 Jul 1983
TL;DR: This book provides a broad introduction to the concepts and methods necessary for an understanding of how these systems work.
Abstract: Reading,Mass.: Addison-Wesley Pub., 1983. 1: include bibliography: p. 405-420 -- (Teknowledge Series in Knowledge Engineering. Hayes-Roth, Frederick, series editor). This book is a collaboration of 38 expert system researchers and developers. It provides a broad introduction to the concepts and methods necessary for an understanding of how these systems work

2,252 citations

Book
01 Sep 1985
TL;DR: Technical managers, professionals, and researchers who are considering the implementation or application of expert systems will find this book to be an authoritative, but accessible guide to the state-of-the-art.
Abstract: This is a comprehensive introduction to expert systems designed specifically for the reader without a computer science background. Carefully written and illustrated, it covers working systems in commercial use, applications for which they are most suitable and guidelines for building a system. Technical managers, professionals, and researchers who are considering the implementation or application of expert systems will find this book to be an authoritative, but accessible guide to the state-of the-art. 0201083132B04062001

1,428 citations

Book
01 Jan 1986

1,385 citations

Journal ArticleDOI
TL;DR: The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation, which include linear programming, dynamic programming, nonliner programming, and simulation.
Abstract: The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation. Algorithms and methods surveyed include linear programming (LP), dynamic programming (DP), nonliner programming (NLP), and simulation. A general overview is first presented. The historical development of each key model is critically reviewed. Conclusions and recommendations for future research are presented.

1,345 citations