Determination of the most Effective Drinking Water Quality Factors using QUEST Data Mining Technique (Case Study: Pasargad City, Fars Province)
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Abstract
Nowadays, water quality is one of the key issues in most regions all over the world. Because of its high relation with human health and also have important role in management and exploitation of resources. This research has done first time in Pasargad city located in 105 km of eastern north of Shiraz. In order to determine drinking water quality factors using data mining technique, results of this research have obtained using Quest decision tree in Clementine software(12 version) and showed most effective factors of drinking water in this region is function of total harness and electrical conductivity. In this way, if total hardness in this city is less than 282.232 parts in million and electrical conduction is less than 822.787 micro mohs in centimeter, this water will be suitable for drinking. Therefore recommended more noting to refine and decrease the hardness of water for human drinking water, moreover continuous refining in periodically regular sampling of water resources in this city should be noted.
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