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Development of a decision support sy...

Jain, Ashu.

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Development of a decision support system for drought characterization and management.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of a decision support system for drought characterization and management./
Author:	Jain, Ashu.
Description:	278 p.
Notes:	Source: Dissertation Abstracts International, Volume: 56-04, Section: B, page: 2190.
Contained By:	Dissertation Abstracts International56-04B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9527425

Development of a decision support system for drought characterization and management.
Jain, Ashu.

Development of a decision support system for drought characterization and management. - 278 p.

Source: Dissertation Abstracts International, Volume: 56-04, Section: B, page: 2190.

Thesis (Ph.D.)--University of Kentucky, 1995.

A decision support system has been developed, capable of running on a personal computer, which will assist water managers and decision makers in making optimal decisions during drought conditions. There are three major components of the developed decision support system: (1) a demand forecasting component, (2) a streamflow forecasting component, and (3) an integrated expert system component. Several model structures were investigated for use in forecasting both demand and streamflow. This research effort has revealed that the new technology of Expert Systems can be a very effective tool to facilitate and improve drought characterization and management. This research effort has also concluded that the emerging technology of Artificial Neural Networks (ANN) can be used to forecast municipal water use with better accuracy than traditional methods, such as, time series or regression analysis. Data derived from the city of Lexington, Kentucky and the Kentucky River Basin were used to test the developed decision support system. A new concept of synthetically generating total rainfalls from a known streamflow series using a conceptual rainfall runoff model in a reverse direction has also been proposed.Subjects--Topical Terms:

783781
Engineering, Civil.

Development of a decision support system for drought characterization and management.
LDR:02109nmm 2200277 4500 001 1819055
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008 130610s1995 eng d
035 $a (UnM)AAI9527425
035 $a AAI9527425
040 $a UnM $c UnM
100 1 $a Jain, Ashu. $3 1908356
245 1 0 $a Development of a decision support system for drought characterization and management.
300 $a 278 p.
500 $a Source: Dissertation Abstracts International, Volume: 56-04, Section: B, page: 2190.
500 $a Director: Lindell E. Ormsbee.
502 $a Thesis (Ph.D.)--University of Kentucky, 1995.
520 $a A decision support system has been developed, capable of running on a personal computer, which will assist water managers and decision makers in making optimal decisions during drought conditions. There are three major components of the developed decision support system: (1) a demand forecasting component, (2) a streamflow forecasting component, and (3) an integrated expert system component. Several model structures were investigated for use in forecasting both demand and streamflow. This research effort has revealed that the new technology of Expert Systems can be a very effective tool to facilitate and improve drought characterization and management. This research effort has also concluded that the emerging technology of Artificial Neural Networks (ANN) can be used to forecast municipal water use with better accuracy than traditional methods, such as, time series or regression analysis. Data derived from the city of Lexington, Kentucky and the Kentucky River Basin were used to test the developed decision support system. A new concept of synthetically generating total rainfalls from a known streamflow series using a conceptual rainfall runoff model in a reverse direction has also been proposed.
590 $a School code: 0102.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Physics, Atmospheric Science. $3 1019431
690 $a 0543
690 $a 0548
690 $a 0608
710 2 0 $a University of Kentucky. $3 1017485
773 0 $t Dissertation Abstracts International $g 56-04B.
790 1 0 $a Ormsbee, Lindell E., $e advisor
790 $a 0102
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9527425