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| 1 | Geostatistics Studies and Geochemical Modeling Based on Core Data,Sheytoor Iron Deposit,Iran显示文摘In general,the purpose of the mineralization modeling is the advancement of a mineral exploration project and ultimately,the extractive design of a deposit,which is one of the most important stages in mining engineering.Mineralization modeling is divided into two general categories,superficial and deep modeling.In surface modeling,the aim is finding abnormal locations in terms of mineralization at the study area,which is commonly used in the early stages of exploration as one of the means for locating exploratory boreholes.After drilling in the study area with the aim of identifying mineralization and reserve estimation it is necessary to obtain deep mineralization position and its geometric features,using statistical and modeling methods.Using mathematical,statistical and modeling methods,we can predict the position of iron mineralization in places where drilling is not done and eventually reach a three-dimensional model of the mineral materials underground.As a case study,the deep information about the boreholes of the sheytoor mining area in Yazd province of Iran was investigated.Iron mineralization was modeled as 2D cumulative model and 3D block model,and the results were presented.Finally the geochemical threshold and the anomalous limit of iron element are calculated by concentration-volume(C-V)fractal method in this deposit.Geochemical threshold and the anomalous limit for Fe in this deposit are 24.7%and 34.3%respectively. | Aref Shirazi Adel Shirazy Shahab Saki Ardeshir Hezarkhani | 2018 | Journal of Geological Resource and Engineering2018，6，3： | 4 |
| 2 | Application of K-means and PCA approaches to estimation of gold grade in Khooni district(central Iran)显示文摘Grade estimation is an important phase of mining projects, and one that is considered a challenge due in part to the structural complexities in mineral ore deposits.To overcome this challenge, various techniques have been used in the past. This paper introduces an approach for estimating Au ore grades within a mining deposit using k-means and principal component analysis(PCA). The Khooni district was selected as the case study. This region is interesting geologically, in part because it is considered an important gold source. The study area is situated approximately 60km northeast of the Anarak city and 270km from Esfahan. Through PCA, we sought to understand the relationship between the elements of gold,arsenic, and antimony. Then, by clustering, the behavior of these elements was investigated. One of the most famous and efficient clustering methods is k-means, based on minimizing the total Euclidean distance from each class center. Using the combined results and characteristics of the cluster centers, the gold grade was determined with a correlation coefficient of 91%. An estimation equation for gold grade was derived based on four parameters: arsenic and antimony content, and length and width of the sampling points. The results demonstrate that this approach is faster and more accurate than existing methodologies for ore grade estimation. | Neda Mahvash Mohammadi Ardeshir Hezarkhani Abbas Maghsoudi | 2018 | Acta Geochimica2018，37，1： | 3 |
| 3 | The Parkam Exploration District, Kerman, Iran: Geology, Alterations, and Delineation of Cu- and Mo-Mineralized Zones Using U-Spatial Statistic with Associated Software Development显示文摘The Parkam exploration district represents an area of approximately 4 km^2 located 50 km north of Shahr-E-Babak(Kerman Province, Iran), and has several traces of old copper mining and smelting activities. This area lies in the Kerman Copper Belt which is part of the larger Sahand-Bazman igneous and metallogenic zone hosting numerous known porphyry copper deposits and systems. The geology of the Parkam exploration district demonstrates that the area contains a diorite-type porphyry copper system hosted by volcanic and pyroclastic rocks of predominantly andesitic composition. Based on field and microscopic investigation, it was determined that the dominant types of alteration were propylitic, phyllic, argillic, and potassic, and the alteration map of the study area was produced. Expect for the propylitic alteration which was observed mainly in the host rocks, the other types of alteration are associated mainly with the dioritic subvolcanic body. Accompanied by subordinate amounts of primary sulfides, fracture-filling malachite is widespread in the potassic and phyllic zones and comprises the dominant style of mineralization at the surface of the porphyry system. Lithogeochemical data resulting from 377 samples were analyzed, and the results of background and anomaly separation by means of conventional and the U-spatial statistic method were compared. The Cu and Mo mineralizations were subsequently delineated using the U-spatial statistic. The delineated Cu mineralization is closely associated with the defined zone of potassic alteration, which is also consistent with the field and microscopic observation of the Cu mineralization in this alteration zone. The Mo mineralization delineated by the U-statistic method is mostly associated with the phyllic alteration and is spatially conformable with the zone defined for it. The source code for a software program, which was developed in the MATLAB programming language in order to perform the calculations of the U-spatial statistic method, is additionally provided. This software is compatible with geochemical variates other than Cu and Mo and can be used in similar exploration projects. | Seyyed Saeed Ghannadpour Ardeshir Hezarkhani Armin Sabet-Mobarhan-Talab | 2017 | Journal of Earth Science2017，28，2： | 2 |
| 4 | Investigation of Environmental and Biological Effects of Rare Earth Elements (REEs) with a Special Focus on Industrial and Mining Pollutions in Iran:A Review显示文摘The present article is a review study on the types of rare earth elements(REEs),environmental and biological effects as well as the sources of emission of these elements as pollution in nature.The purpose of this study is to provide a vision in environmental planning and control of pollution caused by REEs.The evaluation of rare earth elements was studied in human life and its environmental and biological effects,which have particular importance and are entering the life cycle through industrial and mining pollution sources.Since mining activities intensify the dispersion of these elements in the environment and the existence of industrial factories located around urban drainage system plays a unique role in creating and spreading pollution caused by rare earth elements;As a result,two case studies were conducted on two mining and industrial areas.The first case is the Choghart mine in Yazd province as an example of mining pollution,and the second case study is performed on the Kor river as an example of industrial pollution which is caused by industrial activities around it,Then the results are well explained to show both two environments of litho and hydro.Due to this fact that produced environmental pollution can cause exchange pollutant compounds with the surrounding environment besides its long-lasting destructive effects;It can cause irreversible biological effects on living organisms.By targeting this evaluation,several techniques can be proposed to prevent the entry and dispersal of rare earth elements from pollution sources besides methods to reduce the damage of these elements to the ecosystem. | Aref Shirazi Adel Shirazy Amin Beiranvand Pour Ardeshir Hezarkhani Shayan Khakmardan | 2022 | Advances in Geological and Geotechnical Engineering Research2022，4，1： | 1 |
| 5 | Controls of alteration and mineralization in the Sungun porphyry copper deposit, Dan: Evidence from fluid inclusions and stable isotopes显示文摘 | Hezarkhani A Williams-Jones A E | 1998 | Eeonom ic Geology1998，93，： | 1 |
| 6 | Petrology of the intrusive rocks within the Sun gun porphyry copper deposit, Azerbaian, Iran 显示文摘 | Hezarkhani A | 2006 | Journal o[ Asian Earth Sciences2006，27，： | 1 |
| 7 | Some statistical analyses of Cu and Mo variates and geological interpretations for Parkam porphyry copper system, Kerman, Iran显示文摘 | S. S. Ghannadpour A. Hezarkhani A. Sabetmobarhan | 2015 | Arabian Journal of Geosciences2015，，1： | 1 |
| 8 | Hydrothermal fluid geochemistry at the Chah-Firuzeh porphyry copper deposit, Iran: Evidence from fluidinclusion显示文摘 | Hezarkhani A | 2009 | Journal of Geochemical Exploration2009，101，3： | 1 |
| 9 | Hydrothermal Evolution of the Miduk Porphyry Copper System, Kerman, Iran: A Fluid Inclusion Investigation显示文摘 | Ardeshir Hezarkhani | 2008 | International Geology Review2008，，7： | 1 |
| 10 | Mass changes during hydrothermal alteration/ mineralization in a porphyry copper deposit, eastern Sungun, northwestern Iran显示文摘 | Hezarkhani A | 2002 | Journal of Asian Earth Sciences2002，20，： | 1 |
| 11 | Hydrothermal Evolution of the Sonajil Porphyry Copper System, East Azarbaijan Province, Iran: The History of an Uneconomic Deposit显示文摘 | Ardeshir Hezarkhani | 2008 | International Geology Review2008，，5： | 1 |
| 12 | Alteration/Mineralization and Controls of Chalcopyrite Dissolution/Deposition in the Raigan Porphyry System, Bam-Kerman, Iran显示文摘 | Ardeshir Hezarkhani | 2006 | International Geology Review2006，，6： | 1 |
| 13 | Hydrothermal evolution of the Sar-Cheshmeh porphyry Cu–Mo deposit, Iran: Evidence from fluid inclusions显示文摘 | Ardeshir Hezarkhani | 2005 | Journal of Asian Earth Sciences2005，，4： | 1 |
| 14 | A coordinating contract for transshipment in a two - company supply chain 显示文摘 | Behzad Hezarkhani Wieslaw Kubiak | 2010 | European Journal of Operational Research2010，207，1： | 1 |
| 15 | Factors con- trolling copper solubility and chalcopyrite deposition in the Sungun porphyry copper deposit, Iran显示文摘 | Hezarkhani A Williams-Jones A E Gammons H | 1999 | Mineralium Deposi- ta1999，34，： | 1 |
| 16 | Petrology of the intrusive rocks within the Sungun Porphyry Copper Deposit, Azerbaijan, Iran显示文摘 | Ardeshir Hezarkhani | 2005 | Journal of Asian Earth Sciences2005，，3： | 1 |
| 17 | Discrimination geochemical interaction effects on mineralization at the polymetallic Glojeh deposit,NW Iran by interative backward quadratic modeling显示文摘The physico-chemical exchanges between hydrothermal fluids and the host rock are usually controlled by elemental interaction effects.A criterion-based backward elimination approach applies the iterative regression analysis and analysis of variance to investigate the geochemical features of the polymetallic Glojeh(Au-Ag-CuPb-Zn)deposit in NW Iran.A statistical definition of the elemental interaction effects(X(i-j)^2,Xi×Xj)could elucidate the relationship between variables and the performance of a full quadratic polynomial model(QPM).The model optimization procedure was carried out by the removal of insignificant predictors(P value 95%CL)based on R^2(pred.)criterion.In order to straighten the convergent trend with R^2 and R^2(adj.),R^2(pred.)gradually increased from 0%to 77.8%by 15-steps optimization.The miniature-scale geochemical changes indicate double ordinal Au(Ag,Pb)and Au(Ag,Zn)interactions within the vein and host rock,in QPM.Results show that the Au(Pb-Zn)commonly presents ordinal effect at the vein and disordinal interaction at the host rock.This ordinal-disordinal interaction revealed that elements Pb and Zn have similar geochemical features during mineralization.In addition,Akima's polynomial contour map confirms the results from Pb-Zn interaction effects by dependency tracing between Au-Pb-Zn at different populations.However,it is noteworthy that Pb and Zn occur together in the second phase of Pb-Zn-Cu±(Ag±Cd)sulfide mineralization at Glojeh,which implies intergrowth and interaction of Pb-Zn on Au concentration.Pb and Zn demonstrate relatively high mobility and are generally concentrated in the near surface zones.Nb is an immobile element during alteration and high content Hg zone is mainly restricted to narrow stripes above ore vein and veinlets. | Farshad Darabi-Golestan Ardeshir Hezarkhani | 2020 | Acta Geochimica2020，39，2： | 1 |
| 18 | Factors controlling copper solubility and chalcopyrite deposition in the Sungun porphyry copper deposit,Iran显示文摘 | Hezarkhani A Williams-Jones A E Gammons C H | | 0，，： | 1 |
| 19 | Factors controlling copper solubility and chalcopyrite deposition in the Sungun porphyry copper deposit, Iran显示文摘 | A. Hezarkhani A. E. Williams-Jones C. H. Gammons | 1999 | Mineralium Deposita1999，，8： | 1 |
| 20 | Multiple-point geostatistical modeling based on the cross-correlation functions显示文摘 | Tahmasebi P Hezarkhani A Muhammad S | 2012 | Computational Geosciences2012，16，3： | 1 |
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