Sabalan is a voluminous stratovolcano situated in the northwestern part of Alborz-Azerbaijan zone, 25 km from Meshkinshahr. It is separated by a fault creating a tectonic boundary from Sarab plain and Meshkinshahr. The composition of Sabalan volcanic rocks ranges from andesite, trachyandesite to dacite. The rocks have hypocrystalline porphyritic texture with a glassy matrix and microlite. Plagioclase, amphibole, pyroxene, biotite, and oxides are the main phenocryst phase of the rocks. Some plagioclases show disequilibrium textures (sieve texture and oscillatory zoning). The sieve texture and oscillatory zoning in the plagioclases may be indicative of magma mixing processes in the genesis of the Sabalan volcanic rocks. Geochemical data reveal that the Sabalan lavas exhibit calk-alkaline major-oxide trends with a sodic character and they range in composition from andesite to dacite. Pre-caldera and post-caldera volcanic rocks have similar geochemical features with enrichments in LILE and LREE relative to HFSE and HREE, respectively, and have negative Ti, Nb, and Ta anomalies. Ba/Ta ratios higher than 450 and La/Nb ratios ranging between 2 and 3 indicate a volcanic arc setting for the studied rocks. Based on fi eld and geochemical studies, Sabalan is a subduction-related volcano, occurred as a result of subduction of Neo-Tethyan oceanic crust beneath the Iranian microplate.
Artículo de publicación ISISin acceso a texto completoDeterministic modeling of the geological domains is often restricted to the uncertainty assessment. Using stochastic modeling can be considered as an effective solution in order to overcome this restriction. It can also be effectively used for evaluation of ore bodies. Sequential indicator simulation as a stochastic modeling method is a widely used technique to characterize the categorical variables such as facies, rock types, alterations, and mineralized zones. Inverting the categorical variables to indicators proposes the global and local variability of the variable under study by descriptive and spatial statistics. In this study, this approach has been applied to a set of experimental data acquired from Daralu ore deposit located in southern part of the Urumieh-Dokhtar magmatic arc, south of Kerman province, SE Iran. Kerman province hosts several porphyry copper deposits in which calculation of probabilistic description of four normally presented mineralized zones (hypogene, supergene, oxide, and leached zones) for evaluation of relevant ore bodies would be advisable.National Iranian Copper Industries Co. (NICICO
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.