شماره مدرك :
15745
شماره راهنما :
14059
پديد آورنده :
حسيني نژاد، حامد
عنوان :

پتانسيل‌يابي آهن اسكارن با استفاده از مطالعات دورسنجي، ژئوفيزيكي و ژئوشيميايي و تلفيق داده‌هاي اكتشافي در GIS، در برگه 1/100000 كاشان

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
اكتشاف
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان
سال دفاع :
1399
صفحه شمار :
ده، 217ص. : مصور، جدول، نمودار
استاد راهنما :
حسن طباطبايي
استاد مشاور :
محمد رضا ايران نژادي
توصيفگر ها :
ورقه 1:100000 كاشان , اسكارن آهن , حوضه آبريز واقعي نمونه , شاخص احتمال كاني سازي ژئوشيميايي , برگردان به قطب , ASTER , سلسله مراتبي تحليلي فازي , آناليز حساسيت
استاد داور :
احمدرضا مختاري، سعيد پورمنافي
تاريخ ورود اطلاعات :
1399/06/17
كتابنامه :
كتابنامه
رشته تحصيلي :
معدن
دانشكده :
مهندسي معدن
تاريخ ويرايش اطلاعات :
1399/06/24
كد ايرانداك :
2631823
چكيده انگليسي :
AbstractThe granitoid massifs of Kashan 1 100000 sheet and related skarns are located in the magmatic plutonic belt of Orumieh Dokhtar and between the zones of Sanandaj Sirjan and Central Iran These intrusive masses with granodiorite tonalite composition penetrated the Middle Mycenaeanperiod from northwest of Kashan to the south of Ghahroud village in a series of shales andJurassic sandstones limestone and Cretaceous and Eocene marls They caused Adjacentmetamorphism to the surrounding rocks and the formated skarns marble quartzite and hornfels Kashan region located in the northeast of Isfahan is a suitable area for exploration of metalminerals Important criteria of iron skarn ore mining can be seen in this area The most importantof these criteria are the presence of thermal metamorphic due to plutonic infiltration masses andstructural complications such as lineation and faults In this research ASTER and SENTINEL 2A satellite data have been used to highlight the alterations in the field samples Initially theASTER image resolution was increased to 10 meter by SENTINEL 2A images by variousmethods such as false color composite spectral angle mapper SAM mixture tuned matchedfilter MTMF and Linear spectral unmixing LSU alterations of index minerals have beenhighlighted The results of satellite image processing were controlled using spectroscopic andfield studies According to the results of remote sensing MTMF method as a sub pixel methodhas the highest degree of adaptation compared to SAM and LSU methods and has identifiedalterations more accurately Also increasing the resolution of ASTER images by SENTINEL 2Ahas improved the performance of the methods used In order to determine the mineralogicalcharacteristics of field samples thin and polished sections were prepared Also the spectralcharacteristics of the samples were measured using FieldSpec4 spectrometer and then extractedusing RS3 software In geophysical studies 7 5 km airborne magnetic data were used to identifylarge intrusive masses and their boundaries with iron skarn ore mining units In these studies reduced to pole RTP upward continuation first vertical derivative and analytical signalmethods were used The methods of reduced to pole and the analytical signal had the highestdegree of Conformity with the mineral area and indices In geochemical studies hopeful areaswere determined by studying the true catchment basin area and using factor analysis of normaldata and Geochemical Mineralization Probability Index GMPI Prediction area diagram P A was used to quantitatively evaluate the results of geochemical studies According to theprediction area diagram the combined method of stepwise factor analysis and GMPI improvedthe results compared to conventional factor analysis so that in a smaller area of catchments more areas of skarn iron were identified Structural features were also developed by geologicalmap Finally various information layers including metamorphism maps geological maps faultsand geochemical and geophysical anomalies maps in ArcMap10 5 software using fuzzyAnalytical Hierarchy method to prepare iron skarn mineral potential maps were integrated Thefuzzy analytic hierarchical method while significantly reducing the exploration area identifiedsix of the seven area of skarn iron In order to reduce the uncertainty of the fuzzy analyticHierarchy method a sensitivity analysis was performed The results of sensitivity analysisshowed that by changing the scores of criteria and options the prioritization of layers was not thesame but the first priority of each criterion did not change Keywords Kashan 1 100000 sheet Iron skarn True catchment sample basin Geochemicalmineralization prospectivity index Reduced to pole ASTER Fuzzy analytical hierarchy Sensitivity analysis
استاد راهنما :
حسن طباطبايي
استاد مشاور :
محمد رضا ايران نژادي
استاد داور :
احمدرضا مختاري، سعيد پورمنافي
لينک به اين مدرک :

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