Remote Sensing
mohammad sharifikia; jalal karami; Ehsan Falahati
Abstract
Optical Remote Sensing is a low-cost and efficient method to alteration zone detection. However in the area that have been covered by vegetation or alluvial, the identification of these areas is not very accurate with optical images. In this study fusion and integrating of ALOS-PALSAR L-band and ASTER ...
Read More
Optical Remote Sensing is a low-cost and efficient method to alteration zone detection. However in the area that have been covered by vegetation or alluvial, the identification of these areas is not very accurate with optical images. In this study fusion and integrating of ALOS-PALSAR L-band and ASTER data by HSV, HSL, Maximum Likelihood and Artificial Neural Network has been done to discover and enhance the Argilic and Propylitic Alteration zones over the west part of Qazvin province in IRAN. For this purpose, Argilic and Propylitic alterations were primary identified unseeing ASTER image. Then based on geological data and field study, some areas with alterations covered by quaternary sediments, not detectable by ASTER images, were identified. In the following, the integration of the ALOS PALSAR L-band data and the ASTER SWIR bands with HSV, HLS, Maximum Likelihood and Artificial Neural Network were performed. The results of this study showed that the radar and optics data fusion, using HSV and HLS methods, increases the enhancement of visible argillic alteration zones in the study area. Also, the integration of radar and optics data with the Maximum Likelihood and the Artificial Neural Network methods,
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 ...
Read More
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.
Ahmad Kazemi Mehrnia; I. Rasa; S. Alirezaei; H. Asadi Harooni; J. Karami
Abstract
The Saridoon porphyry system is located 3 km northeast of Sarcheshmeh copper mine. Alteration mapping of the area was carried out using PIMA (Portable Infrared Mineral Analyzer) analysis of 145 samples, ASTER satellite images, XRD analysis of 22 samples, field observations and petrographic studies. The ...
Read More
The Saridoon porphyry system is located 3 km northeast of Sarcheshmeh copper mine. Alteration mapping of the area was carried out using PIMA (Portable Infrared Mineral Analyzer) analysis of 145 samples, ASTER satellite images, XRD analysis of 22 samples, field observations and petrographic studies. The lithocap is characterized by an advanced argillic alteration assemblage. The alteration occurs at high topographic levels and on the flanks of the topographic heights. Despite extensive exposures, the alteration varies in intensity and occurs as patches or partially exposed. Pyrophyllite spectral feature is used as a measure of alteration intensity (pyrophyllite abundance).
Phyllic alteration occurs in the central part of the sampled area. This spectrally distinct alteration assemblage occurs at all elevations, and is partially overprinted by advanced argillic alteration. Intermediate argillic alteration occurs on the flanks of advanced argillic and phyllic alterations. The mineral assemblage might have been formed by supergene processes, or alternatively, by low temperature hydrothermal fluids. The PIMA and XRD samples were analyzed by ICP-MS for a number of metals and semi-metals. A comparison of data from Saridoon and those from three other porphyry systems in northwest Kerman belt (Darrehzar, Abdar, and Chah Firuzeh) shows lower contents of Cu and Mo, and higher contents of As, Sb, Pb in Saridoon. The extend alteration systems in Iranian magmatic arc with low frequency of Cu and Mo shall be checked for advanced argillic alteration mineral assemblage using modern spectrometry instrument (e. g. PIMA). This distribution pattern of elements, coupled with the widespread occurrence of advanced argillic alteration at surface, suggests that stripping of overlying rocks at Saridoon was not as deep and effective as in many other porphyry systems in the Kerman belt. These findings suggest that alteration systems with low Cu and Mo contents and mineral assemblages typical of advanced argillic alteration merit closer and deeper inspection.