Article ID: | iaor2007854 |
Country: | United States |
Volume: | 131 |
Issue: | 6 |
Start Page Number: | 410 |
End Page Number: | 419 |
Publication Date: | Nov 2005 |
Journal: | Journal of Water Resources Planning and Management |
Authors: | Nandalal K.D.W., Rajasekaram Veerakcuddy |
Keywords: | artificial intelligence: decision support |
A decision support system for reservoir water management conflict resolution (RWM-CRSS) in a multipurpose single reservoir system has been developed. The system consists of a communication system, a database management system, and a model-base management system. A new approach is used in developing the communication system, in which the use of artificial intelligence markup language facilitates the task of developing human-like communication between the stakeholders and the system. Tools that are common to analyze a multipurpose single reservoir system are provided in the model-base management system. RWM-CRSS is designed to handle conflict between two groups who have on-demand water requirements for irrigation, drinking water, hydropower generation, or minimizing flood damage. A hypothetical scenario of irrigation versus drinking water supply is demonstrated.