NDLI: Decision-tree analysis on optimal release of reservoir storage under typhoon warnings

Content Provider	SpringerLink
Author	Cheng, Chang Chi Hsu, Nien Sheng Wei, Chih Chiang
Copyright Year	2007
Abstract	The wet and dry seasons are distinctive in Taiwan as the amount of precipitation in wet seasons accounts for over three-fourth of the total rainfall. And the water-resources management relies pretty much on the rainfall brought in by typhoons as it accounts for a significant portion of the precipitation during wet seasons. Furthermore, as the storage of reservoirs is limited due to topographical factors, the management of typhoon rainfall has always been an important issue in Taiwan. The technique of decision-tree analysis is applied in this article to determine the optimal reservoir release in advance upon the issuance of a typhoon warning by the Central Weather Bureau (CWB), and the proposed methodology may provide solution to the trade-off judgment of reservoir operations between flood control and water supply according to economic efficiency. In this article, the economic loss functions of flooding damage and water-supply shortage are assumed in linear and nonlinear conditions, and the respective expected optimal releases based on the predicted precipitation as issued by CWB are derived. The proposed methodology has been applied to the Shihmen Reservoir System, and the capabilities of the model as an aid to real-time decision-making as well as the evaluation of the economic worth of forecasts is presented.
Starting Page	65
Ending Page	84
Page Count	20
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	44
Issue Number	1
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2007-07-03
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Decision-tree analysis Reservoir release Typhoon warnings Loss function Environmental Management Civil Engineering Geotechnical Engineering Geophysics/Geodesy Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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