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Journal ArticleDOI

Expert System for Drought Management Planning

Richard N. Palmer, +1 more
- 01 Oct 1987 - 
- Vol. 1, Iss: 4, pp 284-297
TLDR
A methodology in which an expert system shell (INSIGHT 2+) is used to evaluate and display information on drought management planning and a linear programming model is usedto generate optimal operating policies as a function of numerous past drought experiences is presented.
Abstract
Expert systems have been proposed for a wide range of civil engineering applications. They have been applied most successfully in situations governed by simple rules. Many civil engineering decisions, however, must be made in environments in which simple rules are not possible, but rather large amounts of data must be analyzed and evaluated. This paper presents a methodology in which an expert system shell (INSIGHT 2+) is used to evaluate and display information on drought management planning. A linear programming model is used to generate optimal operating policies as a function of numerous past drought experiences. These policies are incorporated into an expert system where the user is required to identify the degree to which the current drought situation is similar to past events. The expert system then aids the user in developing appropriate management policies based on time of year, descriptions of drought intensity, and other system characteristics.

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Citations
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Journal ArticleDOI

PC-Based Management Game for Irrigated Farming

TL;DR: A microcomputer-based game model CASIMBOL (Computer Aided Simulation of Irrigation Management Below OutLet) that deals with the problems faced by a typical farmer in a water-deficient region in southern India is described.
Book ChapterDOI

Study on Water Resources Optimal Allocation of Irrigation District and Irrigation Decision Support System

TL;DR: This system integrates the experience of experts with computer technology to guide farmers to irrigate in a proper way, for which the limited water resources can produce a marked effect on irrigation, so irrigation district management and efficiency are improved.
Journal ArticleDOI

Water Demand and Supply Stability Analysis Using Shared Vision Model

TL;DR: Wang et al. as mentioned in this paper developed a simulation system using STELLA (equation omitted) software environment, a shared vision model, to analyze the possibility of the stable water supply from north Han river basin dams.

A natural language interface for a drought management expert system

TL;DR: The development of a computerized decision-support tool used to manage the Seattle, Washington, water supply during droughts is described, which incorporates an expert system, a linear programming model, database management facilities, and computer graphics.
Book ChapterDOI

INLET: Access to Water Resources Management Data Through a Natural Language Interface

TL;DR: By using simple English commands, water resource managers and staff who are not familiar with either a formal database query system or computer programming can easily access hydrologic and management data and can use the analytical, statistical, and graphical capabilities provided by INLET.
References
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Journal ArticleDOI

Computerized Decision Support Systems for Water Managers

TL;DR: The conclusions from this experience base is that well‐planned computerized DSSs succeeded in reducing operational costs; improving system efficiency and productivity; handling tasks previously considered infeasible; and increasing system reliability.

Expert systems in business

R. Michaelsen, +1 more
TL;DR: Recent developments in expert systems point toward success for this technology in business environments, and executives who choose to ignore expert systems may find themselves at a competitive disadvantage within the next decade.
Journal ArticleDOI

Interactive Data Management for Resource Planning and Analysis

TL;DR: The approaches taken for managing and displaying data that are needed for, and derived from, this interactive modeling system are discussed.
Journal ArticleDOI

Planning for the ultimate hydraulic development of the nile valley.

TL;DR: In this article, Ef Es' Es' Ea, Es E,Ef Es Es' ea,Es E,Es Es E. Ea,Es E.
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