Implementation of the Web-based Decision Application WATERDSS: Water Decision Support System with Knowledge-Driven

A wide variety of specific Decision Support Systems have been and can be built using Internet and Web technologies. This paper was focused and developed application of water DSS (Building Web-based and Inter organizational Decision Support Systems for water management). This paper aims at presenting an application for decisions in ecosystem analysis. We consider contemporary Decision Support Systems (DSS) as knowledge repositories that can be expanded to KMS using the Web software development technologies and tools. The main contribution of our study is to provide an efficient tool that helps users find information resources available as an online service within Internet. This study describes the development methodology and progress of web DSS, a decision support system for water management that has been developed under the research. The main issues addressed in our case study is the evaluation of water quality of Tigris River within Baghdad city area and the DSS was designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution. The system detects the pollution causes and type and suggests a decision for cleaning the water so that it can be used by human. The frame of the water pollution and water quality DSS are based on a mathematical model. The results support the primary decision in emergency cases and offer a suggestion to apply a suitable method for treatment the polluted water. Machine learning and data mining is Artificial Intelligent technologies that are used for reasoning to build decision making system in this paper. The results show that the river water isn't within the standard quality criteria of (WHO) standards and Iraqi standards.