Analysis of Spatial Scenarios Aiding Decision Making for Regional Irrigation Water-Demand Planning
Publication: Journal of Irrigation and Drainage Engineering
Volume 133, Issue 5
Abstract
Regional irrigation water-demand planning is utilized to establish appropriate cropping patterns and estimate irrigation water demand. Although optimization methods have been extensively adopted, uncertainties of meteorological conditions and the complexity of spatial contexts make developing explicit and structured decision making extremely difficult. Rather than generating a single optimal solution, decision makers prefer to generate several possible scenarios and compare results. This study proposes a novel spatial scenario-based planning framework, with a database, model base, and scenario-setting modules, to generate flexible spatial planning scenarios for improving irrigation water-demand planning. Possible demand planning scenarios for irrigation managers are discussed. A prototype of the proposed scenario-based framework is implemented on a geographic information system platform to assist in spatial decision making. Demand planning during a drought period for the Chia-Nan irrigation command area, the largest one in Taiwan, is adopted as a case study to demonstrate the proposed framework for spatial scenario analysis.
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Acknowledgments
This research was made possible by the funding support from the Council of Agriculture (COA) of Taiwan under Contract No. UNSPECIFIED89-AST-1.5-FOD-62(5-5). The writers would also like to acknowledge the support from the Chia-Nan Irrigation Association of Taiwan for providing field data, practical experiences, and suggestions on model implementation.
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© 2007 ASCE.
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Received: May 8, 2006
Published online: Oct 1, 2007
Published in print: Oct 2007
Accepted: Dec 4, 2007
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