نتایج جستجو برای: geochemical elements estimation
تعداد نتایج: 545090 فیلتر نتایج به سال:
The tectonic settings for the Urumieh-Dokhtar volcanic-plutonic belt provided by different reaserchers including active continental margin rift and post collisional settings. Geochemical and tectonic studies indicate that this belt belongs to the active continental margin. Basaltic andesite, andesite, trachy andesite, trachy dacite and dacitic rocks in NE Naragh, of the Urumieh-Dokhtar magmatic...
Local structural property of an image is often considered in image enhancement with various high/low pass filters. Spatial association indexes (autocorrelation, covariance, and variogram) have been commonly used to characterize the local structure of surfaces for data interpolation in kriging. Singularity is another index measuring the scaling invariant property of measures from a multifractal ...
Sediment samples were collected from the vicinity of the abandoned South Terras uranium mine in south-west UK and analysed for uranium and (226)Ra to explore their geochemical dispersion. The radioactivity concentrations in the sediment samples were measured using alpha spectrometry for uranium, and gamma spectrometry for radium. Sequential chemical extraction was applied to selected sediments ...
The Kermanshah ophiolite complex is a part of the Mediterranean–Zagros–Oman Tethyan ophiolites, located in the structural–tectonic zone of western Iran in the northern part of the Zagros main thrust. Doleritic sheeted dykes are well exposed within the ophiolite in the south of Sahneh. These dykes contain high MgO, Na2O, low TiO2 (2O5, and K2O contents, and high FeOt/MgO and LILE/HFSE ratios. Th...
The Qopi bauxitic horizon is located west of Miandoab, in West-Azarbaidjan province, NW of Iran. It lies along the boundary of Ruteh (middle-upper Permian) and Elika (lower Triassic) Formations. This horizon includes four distinct lithologic facies such as (1) bauxitic iron ore, (2) ferruginous bauxite, (3) Fe-rich bauxite, and (4) Fe-rich clayey bauxite. Microscopic examinations showed variou...
Identification of geochemical anomalies is a significant step during regional geochemical exploration. In this matter, new techniques have been developed based on deep learning networks. These simple-structure-networks act like our brains on processing the data by simulating deep layers of thinking. In this paper, a hybrid compositional-deep learning technique was applied to identify the anomal...
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