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Journal ArticleDOI

Integrated Decision Support System for Tank Irrigation System Operation

N. Arumugam, +1 more
- 01 Sep 1997 - 
- Vol. 123, Iss: 5, pp 266-273
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TLDR
In this article, an integrated decision support system (DSS) that aids the operation of a tank (small-scale reservoir) irrigation system in south India is described, which includes a data subsystem, a model, a knowledge base, and a user interface.
Abstract
An integrated decision support system (DSS) that aids the operation of a tank (small-scale reservoir) irrigation system in south India is described. The DSS includes a data subsystem, a model subsystem, a knowledge base, and a user interface. The knowledge base of the DSS was developed from the knowledge derived from field experts as well as from the results of an optimization model. The DSS was evaluated to assess its decision-making capability using five years of data. Shortages in irrigation water supply simulated from the DSS were less than those occurring in the actual operation practiced by water authorities. The forecasts of system variables, namely, inflow and evapotranspiration were found to be adequate for real-time operation of the tank system.

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Citations
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Journal ArticleDOI

Optimal land and water resources allocation policies for sustainable irrigated agriculture

TL;DR: In this paper, a linear programming (LP) model has been developed for optimal land and water resources allocation in various sectors of the Hirakud Canal Command, a multi-purpose irrigation project on the river Mahanadi in eastern India.
Journal ArticleDOI

Integration of heuristic knowledge with analytical tools for the selection of flood damage reduction measures

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.
Journal ArticleDOI

Decision support system for surface water planning in river basins

TL;DR: The result shows that the use of DSSs may effectively improve the speed and quality of water management and give users more flexibility in analyzing different scenarios.
Journal ArticleDOI

Decision Support System for Reservoir Water Management Conflict Resolution

TL;DR: A decision support system for reservoir water management conflict resolution (RWM-CRSS) in a multipurpose single reservoir system has been developed, in which the use of artificial intelligence markup language facilitates the task of developing human-like communication between the stakeholders and the system.
References
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Book

Time series analysis, forecasting and control

TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Journal ArticleDOI

Time Series Analysis Forecasting and Control

TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application —forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Book

Probability and Statistics for Engineers and Scientists

TL;DR: In this paper, the authors present a survey of statistical and data analysis methods for probability distributions and their application to statistical quality control problems, including one and two Sided Tests of Hypotheses.

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as mentioned in this paper, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Book

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as discussed by the authors, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
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