Article ID: | iaor20023681 |
Country: | United States |
Volume: | 127 |
Issue: | 4 |
Start Page Number: | 272 |
End Page Number: | 276 |
Publication Date: | Jul 2001 |
Journal: | Journal of Water Resources Planning and Management ASCE |
Authors: | Ito K., Xu Z.X., Jinno K., Kojiri T., Kawamura A. |
Keywords: | artificial intelligence: decision support |
A decision support system (DSS) for the integration of hydrologic process modeling and risk evaluation of the surface water management alternatives in a river basin is developed. The DSS, named CTIWM, is aimed at supporting the testing and evaluation of water management policies and at facilitating integration of user-selected scenarios into planning strategies of the water resource system in the Chikugo River basin, a multipurpose multireservoir system. CTIWM uses a module library that contains compatible modules for simulating a variety of hydrologic processes. Different numerical models are invoked through a user interface menu, which facilitates communications between users and models in a friendly way. The source code was developed by using object-oriented programming techniques. 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.