Ahad Habibzadeh; Shahram Roostaei; Mohhamad Reza Nikjoo; Atta Allah Nadiri
Volume 4, Issue 11 , September 2017, , Pages 1-20
Abstract
Quaternary deposits as the major sources of fresh water for humans have often been influenced by anthropogenic activities such as agriculture, industry, and the like. The Tasuj plain is located in 45°18 to 45° 32 E and 38°20 to 38°24 N in north of Lake Urmia in East Azarbyjan province. ...
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Quaternary deposits as the major sources of fresh water for humans have often been influenced by anthropogenic activities such as agriculture, industry, and the like. The Tasuj plain is located in 45°18 to 45° 32 E and 38°20 to 38°24 N in north of Lake Urmia in East Azarbyjan province. This plain is one of the sub-basins of Lake Urmia which is surrounded by 12 major plains. The Tasuj basin is about 558 km2. This includes 302 km2 of the Tasuj plain and 256 km2 of Mount Mishu. The study area is surrounded by Lake Urmia (south), Mount Mishu (north), the Salmas Plain (west), and the Shabestar Plain (east). The highest elevation of the Tasuj basin is 3,133 m above the sea level (amsl) at the Peak of Mount Alamdar and the lowest elevation is 1,274 m near Lake Urmia. In the Tasuj basin, only a few seasonal rivers, originating from Mount Mishu, may appear. These seasonal rivers can flood the Tasuj plain in wet seasons. The seasonal rivers are the Amestejan, Angoshtejan, Almas, Chehregan, Tiran, Cheshmekonan, Sheikhvali, Sheikhmarjan, and Ghelmansara. Methodology The conceptual model represents the dimensions, directions, and circumstances of the distribution of the deposits. This research was based on the stratigraphy, the conceptual model of Quaternary deposits of the Tasuj plain, north of Lake Urmia. This simulation was carried out using the GMS software, based on 28 geological logs of observation wells and 78 geoelectrical sounding per geoelectrical sections. The application menus of this software including GIS, TINs, Solids, Boreholes, 3D Gride, and 3D scatter point were used in the research. Results and Discussion Quaternary deposits of the Tasuj plain were divided into 5 classes of strata, including (Qal), (Q3), (Q2), (Q1), and (Qmf). The results showed that Q2 deposits had an average permeability and contained fresh water aquifer in the eastern and southeastern areas. Although Q3 and Qal were located in 1320 m above sea levels (asml), the highest thickness (i.e., 190 m) was shown in 1550 m asml. These deposits spread horizontally in the whole area, but its vertical expansion was more in the northern and, particularly, in the north eastern areas. Q3 and Qal classes were characterized by high permeability and lack of clay. Conclusion The results of this study indicated that the conceptual-stratigraphic model has high efficiency in identifying the Quaternary deposits. The 3D-capable model can expand the point wise characteristics and thickness of Quaternary deposits in the study area using interpolation method. Quaternary deposits of the Tasuj plain were characterized as alluvial deposits (Qal), dry deposits (Q3), medium grain alluvial deposits (possibly water bearing) (Q2), fine grain alluvial deposits (possibly water bearing) (Q1), and clay (Qmf). In addition, the conceptual-spatial model of the quaternary deposits of the Tasuj aquifer showed that aquifer bedrock in the Galemaraghoosh-Shikhvaly was lower than other areas along the coast. There might be a buried deep valley from Almas to Tasuj, Galemaraghoosh.
Khalil Valizadeh Kamran; Shahram Roostaei; Tohid Rahimpoor; Mahsa Nakhostin Rohee
Volume 3, Issue 6 , January 2017, , Pages 17-32
Abstract
Khalil Valizadeh Kamran[1] Shahram Roostaei[2] Tohid Rahimpoor[3]* Mahsa Nakhostin Rohee [4] Abstract In all of the world and including our country, groundwater is the most important resource for water supply needed. Determination of the quality of water has specific importance ...
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Khalil Valizadeh Kamran[1] Shahram Roostaei[2] Tohid Rahimpoor[3]* Mahsa Nakhostin Rohee [4] Abstract In all of the world and including our country, groundwater is the most important resource for water supply needed. Determination of the quality of water has specific importance in the management of resources and its monitoring should be considered as an important principle in planning. The aim of this research is of the determination of the most appropriate interpolation method for spatial analysis of electric conductivity and sodium absorption ratio changes of groundwater of Shiramin plain located in East Azerbaijan province. The related information are obtained from analysis of the samples involving 30 deep and semi-deep wells based on the sampling of the year 1390 by regional water organization of East Azerbaijan province. The geostatistics methods such as simple, ordinary and discrete Kriging and also CoKriging were used for doing this research. For investigation of the spatial correlation of data, the experimental variograms of each variables and its reciprocal variogram were calculated and plotted. The correlation coefficient of two variables were calculated at 0.93 according to their related variogram. The spherical model was fitted as the most appropriate model for both of the EC and SAR parameters based on the minimum of RSS. The reciprocal estimating method with root mean square error criterion and also correlation coefficient (R) between the observed and estimated values was used for assessment of the reliabality of methods. The results of research showed that because of higher R and lower RMSE, the simple Kriging method was the most appropriate method within the others for preparation of the map of SAR and EC changes. Keywords: Groundwater, Geostatistics, EC, SAR, Shiramin plain. [1]- Associate Professor of Remote Sensing, University of Tabriz, Tabriz, Iran [2]- Professor of Geomorphology, University of Tabriz, Tabriz, Iran. [3]- Master Student of of Remote Sensing, University of Tabriz, Tabriz, Iran (Corresponding Author) Rahimpour1990@gmail.com. [4]- Master Student of Remote Sensing, University of Tabriz, Tabriz, Iran.
Sharam Roostaei; Davood Mikhtari; Zahra Hosseini; Mahdi Etmani Hagviran
Volume 2, Issue 4 , January 2017, , Pages 101-123
Abstract
Shahram Roostaei[1]* Davood Mokhtari[2] Zahra Hosseini[3] Mahdi Etmani Hagviran[4] Abstract The management of natural disasters requires locational information in order for prepareness against riske and perils and to decrease them. In this regard it is necessary to eualuate the occurance potential of ...
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Shahram Roostaei[1]* Davood Mokhtari[2] Zahra Hosseini[3] Mahdi Etmani Hagviran[4] Abstract The management of natural disasters requires locational information in order for prepareness against riske and perils and to decrease them. In this regard it is necessary to eualuate the occurance potential of land slides in region which is suseptable for landsliding due to its geographic situation and human construction operations. The case study locates in Dehloran city of Ilam provience in Zarinabad district with 33· 1΄ 30΄ to 33· 19΄ northern latitude. Mimeh river catchment because of having a particular Lithologic ,climate and land use conditions,enjoys young (new) roughness with high altitude variations and sensitive steep slops. On the other hand, human interferences has been increased in this region,therefor,more studies become a necessity. In the study of landslide occurances in the area of Mimeh river catchment,network analysis process (ANP) was applied. In this research some indicators like slop,slop side, lithology, land use, raining,distance form the river, distance form the road and levations were applied in order to determine prone areas. Methods based Analysis of standards in software Super Decision criteria in overlapping layers of information and then integrating the software ARCGIS and, network analysis process(ANP) and the overlap index. The findings showed that ANP has 81/69proportionate with transmittal map of landslides, also coefficients interpretation proved that raining, lithology,and elevation indicators play significant role in landslide. [1]-Professor; Faculty of Geomophology; University of Tabriz (Corresponding author), Email:tabrizu.ac.ir@roostaei. [2]- Associate Prof.; Faculty of Geomorphology; University of Tabriz. [3]- M.A Student; Faculty of Geomorphology; University of Tabriz. [4]- M.A Student; Faculty of Geomorphology; University of Tabriz.
