Feridon Ghadimi
Department of Mining Engineering,Arak University of Technology
[ 1 ] - Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran
Iranian Cenozoic magmatic belt, known as Urumieh-Dokhtar, is recognized as an important polymetallic mineralization which hosts porphyry, epithermal, and polymetallic skarn deposits. In this regard, multivariate analyses are generally used to extract significant anomalous geochemical signature of the mineral deposits. In this study, stepwise factor analysis, cluster analysis, and concentration–...
[ 2 ] - Multivariate statistical analyzing of chemical parameters of thermal and non-thermal springs of Mahalat area in Iran
In this study multivariate statistical analysis are used to characterize relationships between hydrochemical properties ofthermal and non-thermal springs. Four factors for thermal waters and two for non-thermal springs were extracted basedon factor analysis. In thermal springs, the first factor showed high loading on Ca, Mg, Na and K and this factor wasinterpreted as leaching of cations in the ...
[ 3 ] - Assessment of type and usage of thermal water in Mahalat, Markazi province, Iran
In this study, water samples were collected from 10 thermal and non-thermal springs of Mahalat setting during four periods in 2011. The discharge rates of these springs vary from 2 l/s to 45 l/s and their temperature range from an average minimum of 18oC to maximum 47oC. Spring water is high in SO4-Cl and this is related to gypsum dissolution. Correlation coefficient, principal component analys...
[ 4 ] - Application of alteration index and zoning for Pb-Znexploration in Haft-Savaran area, Khomein, Iran
The Haft-Savaran Pb-Zn mineralization zone with the lower Jurassic age is located in the southern basin of Arak and Malayer-Isfahan metallogenic belt of Iran. Based upon the geological map of the Haft-Savaran area, the sandstone and shale of lower Jurassic are the main rocks of Pb-Zn deposit. In this area, 170samples were taken from 33 boreholes, and44 elements were measured by the ICP-MS metho...
[ 5 ] - Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran
Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...
[ 6 ] - Identification of groundwater contamination sources of Lakan lead and zinc mine, Khomain, Iran
Altogether 20 groundwater samples were collected around the Lakan Pb and Zn mine in Iran. Samples were analyzed for 8 constituents including Fe, Pb, Hg, Mn, Zn, CN, SO4 and Cl using standard method. The results show that the average concentrations of constituents were 0.01, 0.60, 0.10, 0.01, 0.40, 35, 0.01 and 5.95 mg/kg for Fe, Mn, Pb, Zn, Hg, SO4, CN and Cl, respectively. The computed contami...
[ 7 ] - تعیین دوره های سیلابی رود نیزار قم با استفاده ازپادگانه های رودخانه ای
روش های مختلفی جهت تعیین دوره های سیلابی رود ها وجود دارد. پرهزینه بودن اغلب روش ها ما را برآن می دارد که با استفاده از روش های رسوب شناسی کم هزینه، دوره های سیلابی رودها را تعیین کنیم. بدین منظور از پادگانه های آبرفتی که شواهد خوبی جهت بررسی سیلاب های گذشته هستند، استفاده شده است. با بررسی ویژگی های رسوب شناسی و تعیین رخساره های رسوبی پادگانه ها در رود نیزار قم می توان به دوره ها و فراوانی سیل...
نویسندگان همکار