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Showing 35 results for Subject: Special

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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 1 (4-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 1, Issue 2 (10-2013)
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Volume 2, Issue 3 (4-2014)
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The world in which we live is constantly changing. Factors affecting transformation and changing of phenomena and terrain can be divided into two categories: natural and human. Natural and human phenomena have important role in the location and physical development of cities. Considering that in the past, urban locations were limited to human and social studies, it is necessary in addition to these studies we pay special attention to geomorphological research and physical environment of cities. Since the geomorphic and topographic features of a geographical place are not only responsible for dispersion or aggregation of human activities, but also are considered one of the factors influencing the shape and spatial structure, neglecting these factors cause to incur huge losses to cities, and the development of cities and settlements will be made in such a way that natural and ecological constraints prevent the continuation of activities and in practice, many of investments will be wasted. In other words, if a land is used according to its capabilities, then suitable urban development will be assured. Accordingly, identifying potentials of a territory before establishment on it and loading land uses and urban activities is very important. Thus, since maintaining a balanced and harmonious physical combination of city requires proper planning and management, these reasons led us to conduct the research to find suitable potential areas for future development of Daryon City using TOPSIS model and affecting factors such as landuse, distance from main roads, distance from the river, distance from the city, distance from the village, geology, soil, elevation, slope and protected areas and after appropriate weighting to criteria, it was determined the importance and place of each criterion. Finally, after overlapping the layers, it was obtained 5 regions among which about 62 percent equivalent to 93542.5 km are in classes with high and very high proportion. Therefore, it was found that except an area less than one third of the region, other areas in this city are not faced with major ecological limits.


Nezam Asgharipour Dasht Bozorg1, Mohammad Reza Servati, Siavash Shayan, Pervez Kardavani,
Volume 2, Issue 3 (4-2014)
Abstract

Abstract Two-thirds of Iran located in the arid and semi-arid regions and diversity of geomorphological land forms in these areas shows Necessity of attention to the areas. One of the most important land forms are alluvial fans because of their porosity and infiltration of surface runoff and rainfall. They have many roles in recharging of aquifer. Some civilization and residential area were created in these areas by digging Qanat and Well. Additionally, over exploitation of groundwater in the arid and semi- arid regions has been caused a rapid drawdown in groundwater levels. Artificial recharge by flood spreading system is an applied method for increasing the groundwater storage and prevents the drawdown in groundwater levels. In this Study, suitable areas for flood Spreading was selected using integrated Geographic Information System(GIS) and Analytical Hierarchy process(AHP) in Abied-Sarbishe of Gotvand region. For this purpose, seven effective indices including slope, infiltration, electrical conductivity, alluvial thickness, transmisivity, drainage density and land use was selected and for each of them, a data layer prepared in GIS environment and weighted by Analytical Hierarchy process (AHP). In next step, effective indices maps were prepared using integrating GIS analytical functions and weight of each layer obtained by AHP Method. Ultimately, final map prepared in four classes from suitable until unsuitable. The results showed that, areas with high suitability for artificial recharge groundwater overlap with area of alluvial fan 58 percent, plains 22 and with area of pediment 13 percent.


Gholam Hassan Jafari, Fardin Monfard, Khadijeh Rezaei,
Volume 2, Issue 3 (4-2014)
Abstract

Mahneshan city located in NW of Zanjan province, with an area of 2786 km2, it is located in in the Alborz- Azerbaijan zone, according to Geologic units classification. This area is full of geological phenomena And the geomorphological That we can Finger of God in the formation Conglomerate of various sizes, historic castles and erosion, bad land, Mineral springs, natural lakes, rocky outcrops, mines land tourism And other cases. These landforms focus on tourist special places and these have combined the value of scientific, ecological, cultural, aesthetic and economic. These be useful to grow land development and tourism as well as problems of unemployment and economic deprivation - social area, in case of serious attention and a scientific program. The basis is formed on the complications of inventories during the field visit by using global positioning system (GPS) and the analysis resauts of geologic and topographic maps at different scales in GIS. Then be assessed tourism potential of the geomorphosite Mahneshan region, by use Rynard method and scientific and value added criterias. Results indicate that the Behestan Castle accounted the greatest potential scientific value and tourism value compared to other geosits. This article is foundation for more precise planning of regional geomorphosite capabilities, in order to achieve the sustainable development of tourism.


Mojtaba Yamani, Afsaneh Ehdaei, Samaneh Riahi,
Volume 2, Issue 3 (4-2014)
Abstract

Geomorphotourism is one of the fields of geo science and tourism studies and is considered as a branch of Ecotourism in which Geomorphologic and geological attractions are more considered by the tourists. Alamut Valley is a region where has a variety of natural phenomena in addition to cultural monuments and each of them are able to attract countless tourists. In this study, by using satellite images, geological maps and field studies, the number of landform of Alamut valley with more geo-tourism attractions were identified and their capabilities based on Comanescu an Amrikazemi models were evaluated. The results show that all the studied Landform, has regional and national importance. Also some unique geoarcheological features of Castle and Cliffs of Hassan Sabbah have given international value to it. On the other hand, the nature of dominate studied landforms is related to the areas of environment and ecotourism. Also based on Comanescu model, aesthetic, scientific, cultural, economic and administrative features of landforms were investigated and the results indicated that Ovan lake has the greatest potential in order to geotourism activities due to the geomorphologic diversity and beautiful natural attractions and high scientific and cultural value .Then, Castle and Cliffs of Hassan Sabbah, Alamut River, Garmagaloo Valley, Andaj Cliffs and Garmarud Waterfall, are in the next ranks.


Mehran Maghsoudi, Saeed Negahban, Sajad Bagheri,
Volume 2, Issue 3 (4-2014)
Abstract

The wast area of Iran covered by relatively flat and low land. condition in more than two third of iran are located in arid and semi arid area. Poor vegetation cover, relatively flat lead this area to dominate of deflatin and sand accumulation. This article attemped to illuminate the geomorphology characteristic of Barkhan in wetern part of lut (east of Lut). At first, study area limited by areal photos and sattlite image. Morphometric charasteristic of 16 Barkhan znd samling of 10 Barkhan was measured in field and lab. Statistical analysis was done on morphometric charasteristc of Barkhan and grain size of sand. Results show the corolation analysis between morphometric parameters of Barkhan is highe and more than 99 percent. In Other word each changes in one parameter change the other parameters. Statistical analysis show that rigth lenth armes of Barkhan is longer than left arms. This show that the right lenth of arms is more under the dominant wind of region. Granulometry results shoe that most frequency of grain size is in the range of 250 to 500 micron (54.4%) also the range between 125 to 250 micron is in second order (%36.64) and the range between 63 to 125 ldv,k located at third order (%6.31).


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Volume 2, Issue 3 (4-2014)
Abstract

Today with the advancement of technology and the use of data obtained from multispectral and hyperspectral sensors, new and advanced methods of remote sensing image analysis are considered in order to extract more information from multispectral and hyperspectral data. One of the analysis that is performed on the hyperspectral images is target detection. Target detection methods at hyperspectral images is usually done based on characteristics and spectral date. In this papar, we use LISSIII multispectral image in order to spectral detection of target using minimum Noise Fraction Transform (MNF) and Mixture Tuned Matched Filtering (MTMF).  MNF algorithm eliminate correlation and redundancy between bands and another one eliminate the noise of the image, simultaneously. Then on the next step MTMF algorithm were implemented on the image with reduced noise and spectral dependence. The results showed that the number of false positives have a key role in improving or not improving of classification accuracy in the detection of sand dunes. With eliminating the number of false positives in this method, we were gained acceptable results compared to image classification method and it was determined that MTMF method  compared with image classification methods is more accurate and efficient method to identify the sand dunes. Mixing sand's effect with each other and with other phenomena such as vegetation also reduces the accuracy of the algorithm. So understanding the effects of geomorphology, vegetation, and geological studies lead to reduce the error rate of algorithm ad will increase accuracy. Implementing MTMF and MNF algorithm on the hyperspectral image will have the better and more acceptable result compare to multispectral images. Since the LISSIII image has a few bands and MNF method is designed for hyperspectral images, in this study, this method played a key and great role in detecting the sand dunes. 



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ژئوموروفولوژی کاربردی ایران Applied Geomorphology of Iran
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