Economic Geology
Mostafa Esmaeili-Vardanjani; Mostafa Nazeri; Gholamreza Asgari
Abstract
Gilsonite mineralization in Shak Meydan zone as the most prone zone of Iranian gilsonite mineralization was predominantly hosted by the anidrite part of Asmari Formation (Kalhor member) and Gachsaran Formation. To find the prospect areas of gilsonite mineralization in ShakMeydan zone, the zone was divided ...
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Gilsonite mineralization in Shak Meydan zone as the most prone zone of Iranian gilsonite mineralization was predominantly hosted by the anidrite part of Asmari Formation (Kalhor member) and Gachsaran Formation. To find the prospect areas of gilsonite mineralization in ShakMeydan zone, the zone was divided into three sub zones in which exploration studies were conducted. We first tried to determine lithologic units using remote sensing processing and to separate rock units using image processing technology. Next, we plotted a 3D structural modeling of the study zone in order to increase the depth precision and to determine the stratigraphic sequence and stratigraphy-structural adaptation. Finally, we detected structural controllers including faults and existing breaks in each sub zone and circular structures prone to translocate minerals. In the sequel, we assigned appropriate weights to applied information layers including geological, tectonic, mineral information and the results of remote sensing studies using analytical hierarchy process (AHP) based on Knowledgeable information and field studies to synthesized the exploratory data in order to introduce the prospect areas with exploration priority.
V. Esavi; J. Karami; A. Alimohammadi; S. A. Niknezhad
Abstract
In recent decades digging deep wells and a half deep flume was gradually replaced aqueduct that by the relative merits is attended the great environmental effects such as loss underground water level and creating subsidence phenomenon for most regions of interest. Recent studies have been accomplish ...
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In recent decades digging deep wells and a half deep flume was gradually replaced aqueduct that by the relative merits is attended the great environmental effects such as loss underground water level and creating subsidence phenomenon for most regions of interest. Recent studies have been accomplish in order to replace the underground dams instead of medium and small dams in order to optimize storage and use of water resources and reduce the environmental impacts. Site selection of underground dams quite complicated process due to geological, geomorphological and hydrological point of view. Determination of the role adjustment and importance of the variables is based on expert groups thoughts and usually this important is verbalize in linguistic variables form. Analytical Hierarchy process have possible in using the linguistic variables along quantitative variables and essentially is based on expert opinions. In recent years in order to increase the capability of AHP, this method combined with fuzzy method and in the Fuzzy-AHP algorithm is presented. In this paper two methods of AHP and Fuzzy-AHP were used in determining appropriate areas for underground dams. Buckley and Bonissone methodes was used for implementing Fuzzy-AHP method and Yager method was used for defuzzicating fuzzy utility values . From totale 56 outputs points of subbasine in AHP method, 26 points and in Fuzzy-AHP method, 15 points were overlapping with suitable and accessible areas. The results showed that the Fuzzy-AHP method has more flexibility and greater ability to determine appropriate areas dam.
S. Yousefifar; A. Khakzad; H. Asadi Harooni; M. R. Jafari; M. Vosoughi Abedin
Abstract
Dali porphyry copper-gold deposit is situated geologically incontact of the Urmieh-Dokhtar magmatic belt and the Sanandaj-Sirjan zone in central of Iran and for the first time this deposit was investigated with using the satellite image processing (TM). In this research, the Northern part of the Dali ...
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Dali porphyry copper-gold deposit is situated geologically incontact of the Urmieh-Dokhtar magmatic belt and the Sanandaj-Sirjan zone in central of Iran and for the first time this deposit was investigated with using the satellite image processing (TM). In this research, the Northern part of the Dali deposit has been investigated in order to recognize the potential copper and gold-bearing target areas. The survey layers include the lithologic units, alteration, geophysical and geochemical results, tectonics, and copper mineralization. As a accurate decision can have a considerable effect on exploration plans, so in this research efforts have been made to make use of new combination methods including index overlay method, fuzzy logic method, and the analytical hierarchy process. These three methods support and complement each other and have revealed highly potential copper and gold mineralization areas. Among these methods, Analytical hierarchy process is the best method for combining the exploration data in this area. The investigations (for instance field evidences of outcrops, mineralization and also sampling of 7 trenches) carried out in the study area confirm this matter. Based on achieved results, geological perspective in central of studied area is appropriate for continuing mining exploration, especially for subsurface exploration in future.
H. Gharahi; B. Bohlooli; A. Sayyar; M. Shariat jafari
Abstract
Landslides cause damage to property and pose a threat even to human lives. Suitable landslide susceptibility, hazard and risk models could help mitigate or even avoid the unwanted consequences resulted from such hill slope mass movements. For the purpose of landslide susceptibility assessment, a spatial ...
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Landslides cause damage to property and pose a threat even to human lives. Suitable landslide susceptibility, hazard and risk models could help mitigate or even avoid the unwanted consequences resulted from such hill slope mass movements. For the purpose of landslide susceptibility assessment, a spatial database, which included 18 landslides prepared and analyzed using LISS-IV satellite imagery and geographical information system (GIS) technology. Analytical hierarchy process (AHP), the statistical index (Wi) and weighting factor (Wf) methods were applied to determine the significance of event-controlling parameters in triggering the landslides. The parameters included lithology, slope gradient, slope aspect, elevation, distance from faults, distance from stream and drainage density. These factors are different in geomorphic and geologic setting. The result showed that lithology, slope gradient and distance to stream play most important roles in landslide susceptibility. To confirm the practicality of the three susceptibility maps, there were compared with landslides activity map containing 12 active landslides. The results showed that the Wi method gave a more realistic picture of the actual distribution of landslide susceptibility, than the Wf method in the reservoir of Alborz dam.
R. SH. Shahabi; R. Kakaie; M. H. Basiri
Abstract
Mineral Resources which can be regarded as a best potential opportunity to sustainable development of the country. Consequently appropriate investment in exploitation of these reserves can achieve high value added to the most industries. Therefore, it is necessary to recognize the priority of minerals ...
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Mineral Resources which can be regarded as a best potential opportunity to sustainable development of the country. Consequently appropriate investment in exploitation of these reserves can achieve high value added to the most industries. Therefore, it is necessary to recognize the priority of minerals for future investments. In this paper, the Analytical Hierarchy Process, in which a complex problem is modeled in a hierarchical structure showing the relationships of the goal, objectives (criteria) and alternatives, is used to recognize high priority 33 minerals for future investment with regards to the 6 criteria and 29 sub-criteria. For this purpose, on the bases of interview with mineral sector experts weights of criteria are calculated and then the piority of each mineral is determined for investments. The results show that copper, Iron, Phosphate, lead and zinc, coal, gold have high priority for future investments.
