A Non-GIS Based Spatial Decision Support System for Regional Irrigation Water Demand Estimate
Date Issued
2012
Date
2012
Author(s)
Weng, Hao-en
Abstract
To efficiently manage the limited water supply resources is an important issue in Taiwan. The planning and management of agricultural water use is very important due to its large share (more than 70%) of the total water consumption. There are a lot of spatially related information, such as soil, crop weather and canal system, involved in the agricultural water management practices. Geographic Information System (GIS) was used to manage these spatial data and implement the Spatial Decision Support System (SDSS) for effectively manage the agricultural water use. The traditional GIS based SDSS is less flexible and portable and much difficult to implement or modify in different irrigation command areas or to adapt to the environmental change due to factors like global climate change.
A non-GIS Excel-based DSS is proposed in this study to make the traditional SDSS more efficient, flexible and portable. Although the proposed system is not based on GIS, the necessary spatial characteristics for effective planning and management decisions are preserved. The system also provide user interface which makes scenario setup and simulation easy, therefore user can obtain necessary information for decision and realize the irrigation demand variation mechanism through changing the parameter of irrigation demand estimation and scenario situation. This proposed system is more portable and may be transplanted to different irrigation command area with less efforts.
The command area of Taoyuan and Shimen irrigation associations and the Pai-Ho reservoir irrigation command area used as pilot study areas. The results show that this proposed system concept can provide fast and convenient regional irrigation water demand estimation to each Irrigation Associations in Taiwan. The system may also be extended to include the allocation model for supply and demand management, economic oriented analysis for better efficiency in planning and management of the limited water resources.
Subjects
Decision Support System
regional irrigation water demand estimate
spatial database
Type
thesis
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