WATERDSS

-The issue of drinking water quality is very important in the world, so, an Agent based - web decision support infrastructure (WATERDSS) has been developed to provide 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 main issue addressed in the study is the evaluation of water quality for drinking of Tigris River within Baghdad city area. Also study the climate events that effected on water quality.
-The design of drinking water treatment plant in WATERDSS depends on the characteristic of raw water and the water quality objectives.We presents many strategies to manage water quality and water pollution to protecting human health by build an Agent based - web decision support system to help an authority of water supply stations to find information about water management available as an online service.
-This app. presents an approach to the creation of an agent-based system for the assessment of environmental impact upon human health. As indicators of the environmental impact water pollution,
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 the water.
WATERDSS tests the data of water management stations in real-time by using mathematical models. Web technologies, Machine learning and data mining are used to build decision making system in this research. The results of the test are presented in GIS maps (ArcGIS) 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 . Data mining, knowledge discovery tools and software packages are used in an Agent Decision Support System (DSS) for water resources management.
-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. we develop the application to contain Data base, Alerts messages, Treatment water advices, optimization algorithms of machine learning, decision tree based on the Evolutionary Computing principles and Water pollution causes.
-The use of an agent based-web decision support systems (ABWDSS) to support decision making is important within the water management because they allow authors of water supply to quickly gather information and process it in various ways in order to assist with making diagnosis and treatment decisions when water pollution accidents.
-The areas these systems could help in is diverse from the storing and retrieval of water quality records, storing and retrieval of key treatment from pollution causes, examination of real-time data gathered from documents information of water parameters values, analysis of correlation criteria that effected for water state , analysis of statuses history for the purposes of disease that related with water and effect with human health, analysis the results of water quality and water pollution calculation in many other stations.
-The necessity of the research described in this thesis is stated by the fact that environmental pollution, as a result of water pollution, adversely affects health. The term (water pollution) includes factors such as Organic chemicals, Infectious agents, Inorganic chemicals, Sediment, Plant nutrients, Oxygen-demanding wastes and Thermal.
-This application considers the necessity to assist responsible water supplier’s authority for drink water in decision making. Because there are many approaches to decision making and because of the wide range of domains in which decisions are made, the concept of decision support system (DSS) is very broad. A DSS can take many different forms.