Modeling and Implementing of an Agent-Based Decision Application WATERDSS: Water Decision Support System for Water Resource Management

Abstract This paper presents an approach to the creation of an agentbased system that aims to presenting an application for decisions in ecosystem analysis. The issue of drinking water quality is very important in the world, so, an agent based - web decision support infrastructure (WATERDSS) has been designed and implemented to provide an access to simulation and experimental results on flow water- quality conditions and to offer sophisticated scenario testing capabilities for research and drinking water treatment plant planning through the graphical user interface with known controls. The design of drinking water treatment plant in WATERDSS depends on the characteristic of raw water and the water quality parameters. We presented many strategies to manage water quality and water pollution to protect human health by building an agent based - web decision support system to help an authority of water supply stations to find information about water resource management available as an online service. The water quality service uses a set of (13) water-quality parameters according to water quality index (WQI) analysis and (24) water-pollution parameters. The system suggests a decision for treatment of the water. WATERDSS tests the data of water resource management stations in real-time by using mathematical models, Web technologies, decision tree and data mining are used to build decision making system in this research. The results of the test are presented with time series graphs, email reports and web sites. The system automatically sends warnings when water pollution levels are exceeded, using text messages as email reports. The main contribution of our study is to provide an efficient tool that helps researchers on drinking water treatment plant to find information resources available as an online service within internet.