چکیده مقاله
Groundwater quality assessment is a decisive process in operation, conservation and restoration of these valuable resources Groundwater Quality Indices GWQI are the most popular tools for monitoring and assessing the quality of water resources It is achieved using experimental indices with inappropriate parameters Current study uses Entropy Based Water Quality Index EBWQI to assess groundwater quality of Dehgolan aquifer situated in Kurdistan province Samples includes 10 chemical parameters describing water quality of aquifer system After computation of each sample water quality index, a new clustering method is proposed based on Multi Objective optimization for EBWQIs data sets interpretation, which is called MOC For comparison the result taken from this approach, other clustering methods such as SOM, FCM and K mean were taken into account for EBWQIs clustering and all methods accuracy were validated by Spearman Rank Correlation Test SRCT Results probated the MOC function in comparison to other methods
کلیدواژهها
نویسندگان
Mohammad Mehdi Kholoosi
Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
Parisa Aberi
Department of Water Engineering, University of Urmia, Iran
Rezgar Arabzadeh
Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
Shahab Araghinejad
Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
شیوه ارجاع
Kholoosi, Mohammad Mehdi and Aberi, Parisa and Arabzadeh, Rezgar and Araghinejad, Shahab,1394,Water Quality Assessment Using Entropy Based Water Quality Index and Application of a New Clustering Approach,10th International Congress on Civil Engineering,Tabriz
ارائهشده در
مجموعه مقالات دهمین کنگره بین المللی مهندسی عمران15 اردیبهشت 1394 · تبریز