2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2016-1-4-35-42893SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGEDEVELOPMENT OF AN ENVIROMENTAL DECISION SUPPORT SYSTEM TO CALCULATE WATER QUALITYDEVELOPMENT OF AN ENVIROMENTAL DECISION SUPPORT SYSTEM TO CALCULATE WATER QUALITYCarveyJalalCarveyJalaljalalalqaisy1@gmail.comBrusentsevAlexander GrigoryevichBrusentsevAlexander Grigoryevichbrusentsev@mail.ru20161400

The main issue addressed in our case study is the evaluation of the drinking water resource. Water quality has an important impact on human health since different diseases can be the result of poor quality. This paper presents several strategies to manage water quality in order to protect human health by building a decision support system to help the authority of water supply stations to find information about water management. The water quality service uses a set of (13) water-quality parameters according to the water quality index (WQI) analysis. The system suggests a decision for treatment the water so that it can be used by humans after detecting the causes and type of pollution. Water quality DSS tests the data from the water management stations using mathematical models. In this paper we use Machine learning and Data mining to build the decision making system.

The main issue addressed in our case study is the evaluation of the drinking water resource. Water quality has an important impact on human health since different diseases can be the result of poor quality. This paper presents several strategies to manage water quality in order to protect human health by building a decision support system to help the authority of water supply stations to find information about water management. The water quality service uses a set of (13) water-quality parameters according to the water quality index (WQI) analysis. The system suggests a decision for treatment the water so that it can be used by humans after detecting the causes and type of pollution. Water quality DSS tests the data from the water management stations using mathematical models. In this paper we use Machine learning and Data mining to build the decision making system.

Decision Support System (DSS)water decision support systemwater qualitydata miningDecision Support System (DSS)water decision support systemwater qualitydata miningСписок литературыBooth L., Everman J., Kuo I., Sprague L. and Murphy L. A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions. Journal of the American Water Resources Association (JAWRA), 47(5), 2011,pp. 1136-1150.Ge Y., Li X., Huang C., Nan Z. A Decision Support System for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China. Environmental Modelling & Software, 47, 2013, pp. 182-192.Zhang K., Achari G., Zargar A., Islam M.S. and Sadiq R. Application of decision support systems in water management. Environ. Rev. 22, 2014, pp. 189–205 .Jonoski A., Popescu I. Distance Learning in Support of Water Resources Management: An Online Course on Decision Support Systems in River Basin Management. Water Resour Manage, 26, 2012,pp. 1287–1305.Delpla I., Monteith T., Freeman C., Haftka J., Jones G. and Thomas O. A Decision Support System for Drinking Water Production Integrating Health Risks Assessment. International Journal of Environmental Research and Public Health, 11, 2014, pp.7354-7375.Xia J., Lin L., Lin J. and Nehal L. Development of a GIS-Based Decision Support System for Diagnosis of River System Health and Restoration. Water, 6, 2014,pp. 3136-3151.Ripa M.N., Leone A., Garnie M., Porto A.L.. Agricultural land use and best management practices to control non-point water pollution. Environ, Manage, 38(2), 2006, pp. 253–266.Stefanovic N., Radojevic I., Ostojic A., Comic L. and Topuzovic M.. Composite Web Information System for Management of Water Resources. Water Resour Manage, Springer Science+Business Media Dordrecht, 2015, pp. 1. Zeng Y., Cai Y., Jia P. and Jee H. Development of a web-based decision support system for supporting integrated water resources management in Daegu city, South Korea. Expert Systems with Applications, 39, 2012, pp. 10091–10102.Zhang X., Huang H., Nie X. and Lin Q. Model-based decision support system for water quality management under hybrid uncertainty. Expert Systems with Applications, 38, 2011, pp. 2809–2816.Basim H. Assessment of Water Quality Index and Water Suitability of the Tigris River for drinking water within Baghdad City, Iraq, 2013.