Reza Solimani; Khalil Valizadeh Kamran; Davod Mokhtari; Ali Saeidi
Abstract
Adherence to non-operating defense principles in locating infrastructure, especially military centers, can reduce vulnerability and damage in times of danger and crisis and any military threat. There are several factors affecting this location, most of which are natural geographic (climatic and geomorphological) ...
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Adherence to non-operating defense principles in locating infrastructure, especially military centers, can reduce vulnerability and damage in times of danger and crisis and any military threat. There are several factors affecting this location, most of which are natural geographic (climatic and geomorphological) factors. Considering the development of cities and the placement of military centers within the urban context and the lack of adherence to non-operational defense principles in their placement and construction in the past, as well as the need to relocate most of the existing military centers at the provincial level, the importance of the case doubles. One of the main goals of the research is. Two groups of data were used in this study. Climatic data obtained from the Provincial Meteorological Organization and other data obtained from topographic and geological maps and related organizations The present study deals with the role of climatic elements and other effective factors in locating military sites. The purpose is to identify areas that are prone to non-operating defense principles. The strategic position of the East Azerbaijan Province in northwestern Iran in order to align with the Republic of Azerbaijan and Armenia and the Nakhchivan Autonomous Republic and to position itself on the European and Central Asian communication axis further emphasizes the importance of non-operational defense principles in locating sensitive and military centers. The research method in this research is based on the Network Analysis Process (ANP) and GIS analysis. After weighting the layers and overlapping them and examining the principles of non-operating defense, the final mapping was prepared and the results show that among the factors Effective in locating military centers in the study area, climatic factors have the highest weight (0.34).
Urban Planning
Majid Rahmani; karim Hosseinzadeh dalir; Mohammadreza Pakdelfard
Abstract
Reading of any building and city construction requires the idea of environmental holism and therefore requires aesthetic perception. The urban landscape is in the heart of this idea. The one that is linked to quality of life in connection with the objectivism of the image and landscape of the city. In ...
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Reading of any building and city construction requires the idea of environmental holism and therefore requires aesthetic perception. The urban landscape is in the heart of this idea. The one that is linked to quality of life in connection with the objectivism of the image and landscape of the city. In this article public interest is not considered in the conventional sense of city services and its equal distribution but also due to visualization of urban representation structures, city landscape and the quality of space in this structures are public interests and goods. Equal distribution of this public goods in improving quality of life can be examined both tangible and statistically. The research method is descriptive and analytical and a total of 120 people who is living in the district 2 of Shiraz municipality have been interrogated. The result of research indicate that desired quality and the reading of image and landscape of city have direct and significant effect on place belongness, investment flow, growth and quality of life.
Climatology
Mohammad Hossein Aalinejad; Saeed jahanbakhsh; Ali Mohammad Khorshiddoust
Abstract
Introduction
Determining the temporal change of snowmelt or agriculture water equivalent of snow, predicting flood, and managing the reservoirs of a region is of utmost importance. Some major parts of the western sections of the country are located in the mountainous region and most of the precipitations ...
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Introduction
Determining the temporal change of snowmelt or agriculture water equivalent of snow, predicting flood, and managing the reservoirs of a region is of utmost importance. Some major parts of the western sections of the country are located in the mountainous region and most of the precipitations of this region occur in the form of snow in winter. The runoff resulting from snowmelt has an important role in feeding the rivers of this region and it has a significant share in developing agriculture and the economy.
Scientific studies have shown that climate change phenomena have significant effects on precipitations, evaporation, perspiration, runoff, and finally water supply. As the demand increases, climate changes, greatness, frequency, and the damage resulting from extreme weather events, as well as the costs of having access to water increase, as well. Therefore, evaluating the runoff resulting from snowmelt and the effect of climate change seems necessary for managing water resources.
Methodology
Gamasiab basin is located in the northeast part of the Karkheh basin originating from the springs in the vicinity of Nahavand. Its basin has an area almost equal to 11040 square kilometers that have been located in the east part having 47 degrees and 7 minutes to 49 degrees and 10 minutes geographical longitude and from the north part, it has 33 degrees and 48 minutes to 34 degrees and 54 minutes geographical latitude. This basin has an altitude between 1275 to 3680 meters.
In this study, snow-related data required for simulation were derived from the daily images of the MODIS sensor. To this end, first, the snow-covered area of the Gamasiab basin was measured during the 2016-2017 water years using the process of satellite images obtained from the MODIS sensor in the google earth engine system. All geometric justifications and calibration processes of images were applied precisely in the mentioned system. In the next step, the output of the GCM model scenarios was utilized for calculating temperature and precipitation changes in future periods. These CMIP5 kind models were under the control of two RCP45 and RCP85 scenarios and were downscaled with LARS-WG statistical model.
Moreover, to investigate the uncertainty of models and scenarios, the best models and scenarios were selected for producing temperature and precipitation data of future periods; accordingly, the outputs of the models for future periods (2021-2040) having the basis period of (1980-2010) were compared using statistical indexes of coefficient of determination (R2) and Root Mean Square Error (RMSE). The results were entered into the SRM model as the inputs. In addition, temperature and precipitation data of meteorological station of the studied region as well as the daily discharge of the river flow of hydrometric station of Chehr Bridge (as located in the output part of Gamasiab basin) were used during the statistical period of October 2016 to May 2018.
Discussion
Using Digital Elevation Model (DEM) of the region and the appendage of Hec-GeoHMS in GIS software, firstly, flow direction map, flow accumulation map, and stream maps were drawn and the output point (hydrometric station of Chehr Bridge) was introduced to the border program of the identified basin and the basin was classified based on the three elevation regions.
Producing temperature and precipitation data of future periods requires a long-term statistical period; accordingly, the meteorological station of Kermanshahd was selected since it was in the vicinity of the studied region. To be confident in the ability of the model in producing data in future periods, the calculated data had to be compared with the observed model and data in the studied stations. The capabilities of the LARS-WG model in modeling the mentioned parameters of this station confirmed the observed data. Moreover, the ability of the model in modeling precipitation was very good and acceptable; however, the most modeling error was related to the precipitation in Mars.
In the next phase and compared to the basic periods, the mean of changes in average precipitation and temperature was measured in the studied stations during January and Juan of 2015 to 2017(for which simulation had occurred); as an index of changing the climate, this was entered into the SRM model under climate change conditions. During the simulation period (January to Juan), it had been predicted that the precipitation parameter would decrease and the temperature parameter would increase.
Conclusion
The results of this study indicated that using the MODIS sensor could provide an acceptable estimation of the snow cover level of the Gamasiab basin, which lacked snow gauge data. Moreover, the results of simulation with the SRM model showed that the model could simulate the snow runoff in the studied region. As the main purpose of the study, the effect of temperature and precipitation in future periods was well stated considering the uncertainty of CMP15 series models and scenarios. The results of temperature changes indicated an average increase of 1.8 C. the results of precipitation also indicated an average decrease of more than 5%. However, decreasing precipitation in the cold months of the years had been predicted severely so that the reduction of precipitation in February was of utmost importance for feeding the snow cover and rivers, which had been estimated to be 20%. This happened while increasing precipitation was mainly related to the hot months of the year whose amount was insignificant and didn`t have that much effect on the runoff. Accordingly, due to the increases in temperature and decreases in precipitation in cold seasons, the results of runoff simulation have indicated a 24% reduction for 2016-2017 and a 29% reduction for 2017-2018 water years.
Geomorphology
Ahad Ranjbari; Mousa Abedini; Davod Mokhtari; Khalil Valizadeh Kamran
Abstract
Introduction
Similar to other parts of Iran, Azerbaijan Plateau is active tectonically due to the Eurasia-Arabia cluster convergence, and its hydrogeomorphological impacts are evident as a strike-slip fault, folding, horst, graben, changes in the topography, and drainage system (Abedini, 2016: 75). ...
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Introduction
Similar to other parts of Iran, Azerbaijan Plateau is active tectonically due to the Eurasia-Arabia cluster convergence, and its hydrogeomorphological impacts are evident as a strike-slip fault, folding, horst, graben, changes in the topography, and drainage system (Abedini, 2016: 75). Therefore, investigating and understanding the function of faults can significantly contribute to analyzing the tectonic activities, the occurrence of earthquakes, their geomorphic hazards as well as the environmental planning and management, the adaptation of the land use, and constructions regarding the tectonic situation of the regions and reduce their hazards.
The current research aims to identify the geomorphic hazards caused by the tectonic activities, especially the behavior of faults, for the planning and management before the occurrence of hazards and their resulted crises. In this regard, the principal purpose of this research is to study and identify the faults of the Qoshadagh fault zone and their geomorphic impacts in the northwest of Iran and a part of the structural block of Aras Fault Zone (Berberian & Yeats, 1999).
Data and Methodology
Three methods of manual, automatic, and mixture were used to precisely extract the region's faults, affected by the doublet seismic activities of 12 August 2012 with the magnitude of 6.4 and 6.2 Richter that had only 6 kilometers and 11-minute distance from each other (Donner et al., 2015). Moreover, survey study and manual measurement of the replacements were used. Hence, Envi 5.1 software was used to apply the techniques and process of images. Also, PCA Geometrica was used to automatically extract the lineaments, and ArcMap 10.4.1 was applied to draw the output map. In the automatic method, Landsat 8 satellite image of OLI sensor with 33 rows and 168 paths was fused with its panchromatic band (15 meters). Then, the edge detection, thresholding, and extraction of fractures were conducted using algorithms. The map of lineaments was prepared using filtering, PCA, and RGB color model in the manual or visual method, and, was adapted using the automatic method. Images of Sentinel-B2 and Spot were also used due to some properties to ensure. Finally, the obtained lineaments were checked by the field data.
Discussion and Conclusion
After analyzing the automatic method results, applying the lineaments manually along with the field controls, the obtained result is displayed in an overlaying map. Then, by investigating the obtained lineaments and removing the repetitive and incompatible lineaments automatically, and consultant with the tectonics experts and geomorphologists familiar with the region, the lineaments with 80% possibility of being a fault were drawn in a final map of the region’s faults. It is evident that the extraction of the definite faults of the region requires different RS sources, such as radar data, GPS, gravimetric satellites, etc. Rose diagram was used to understand the length and direction of the faults. As a result, the length of the faults was more in 100-280 degree and 145-325 degree, and no-fault was extracted along the 80 degrees, although this length can be seen in the field observations. The results of the field study, overlaying some of the geomorphological effects, including the obstruction and deviation of the waterways, formation of the pressure ridges, and fault pools, have confirmed and improved the software outputs.
Results
Using purposive remote sensing along with the field studies can play a significant role in identifying the structural ruptures that are usually hardly visible and emphasize the spatial-temporal changes after the earthquake and its role in reducing the ground hazards (Yang et al., 2017). In this regard, the faults of the Qoshadagh zone were extracted using automatic, manual, and semi-automatic methods with satellite images. The obtained results were compared with the field study and adapted to the effects and fractures caused by the earthquake and the new faults were also identified. The obstruction and deviation of the waterways, fault edges, tension, and pressure ridges, etc., are the most significant evidence that contributed to extracting the fault lineaments using the satellite images. In the current study, the faults of the region were displayed as the fault system instead of single fault lineaments that were in line with the previous studies with a different purpose (Copley et al., 2012; Ghods et al., 2015). Also, the privilege extension of faults in western and eastern directions was identified. Using automatic and manual methods is not sufficient. Therefore, the mixture method was used to obtain better and more precise results. It is evident that the extraction of the definite faults of the region cannot be obtained only by having optical images and other RS resources are required, such as radar data, GPS, and gravimetric satellites (with a high spatial separation). Furthermore, the field control and survey and investigating the geomorphologic forms must be considered an inseparable part of these studies.
Climatology
Zeynab Jawanshir; Khalil Valizadeh Kamran; Ali Akbar Rasuly; Hashem Rostamzadeh
Abstract
Introduction Water management has always emphasized the need to abandon water storage in reservoirs and pursue a policy of limiting water consumption. Spatial-spatial information on evapotranspiration helps users understand the evacuation and depletion of water due to evaporation and establish the relationship ...
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Introduction Water management has always emphasized the need to abandon water storage in reservoirs and pursue a policy of limiting water consumption. Spatial-spatial information on evapotranspiration helps users understand the evacuation and depletion of water due to evaporation and establish the relationship between land use, water allocation, and water consumption. Evapotranspiration is the second element of the water cycle (after precipitation) and its accurate estimation on a regional scale is necessary to design appropriate management strategies. Evapotranspiration is a function of the amount of energy available for vegetation and its exchange. Because of this dependence, it can be estimated using the principle of energy conservation. Due to the limited number of meteorological stations in the country and the high cost of collecting ground data, the cost-effectiveness of the use of satellite data is one of its advantages, and the possibility of retrieving data from all levels of the region at one time is its next advantage. Having timely information makes horizontal monitoring of meteorological and environmental parameters possible. The ability of remote sensing to measure some terrestrial parameters has had an important effect on estimating actual evapotranspiration. The SEBAL model is one of the remote sensing algorithms that calculate plant evapotranspiration based on the momentary energy balance at the level of each pixel of a satellite image. The study area of the current research was the eastern cities of Lake Urmia. The reason for studying this section was the impact of recent droughts on these areas and the reduction of surface and groundwater, which has increased the need to manage water resources in these areas. Methodology In the first step of radiometric corrections, the amount of spectral radiance in the thermal band and at the next step, the reflectance in the visible bands, near-infrared, and short-wavelength infrared bands were calculated. As mentioned above, in the SEBAL model, actual evapotranspiration is calculated through satellite imagery and meteorological data is calculated using the surface energy balance. When satellite imagery provides information for its transit time, SEBAL calculates the instantaneous evapotranspiration flux for that time. Landsat 8 images for 2017-2016-2014-2013 years and meteorological data such as Minimum temperature, maximum temperature, dew point temperature, evaporation pan data, sunny hours, and wind speed were analyzed using ENVI 4.8 - Excel 2013- Arc GIS 10.3 software. Results and Discussion SEBAL is an image processing model that measures evapotranspiration and other energy conversions on the Earth's surface using digital data measured by remote sensing satellites that emit visible, near-infrared, and thermal infrared radiation. This method uses surface temperature, surface reflection, and normalized plant differential index (NDVI) and their internal relationships to estimate surface fluxes for different types of land cover. In this section, using the values obtained from latent heat flux and evaporation heat flux, first, the amount of instantaneous evapotranspiration for each pixel was calculated. Then, using Ref_ET software, the total 24-hour evapotranspiration was calculated and the daily evapotranspiration rate was obtained for the whole image. Conclusion The results showed that there was a good correlation between the values estimated by the remote sensing algorithm (SEBAL) and the FAO-Penman-Monteith method as well as the evaporation pan method. The difference between the amount of SEBAL and the FAO-Penman-Monteith method in the reference plant was less than 4.21 mm/day; the largest difference was related to the 22nd of October. In total, SEBAL and Penman-Monteith methods had an average absolute difference of 4.28 mm/day. According to the results of this study, it can be observed that using the SEBAL model, the actual evapotranspiration and water needs of crops and even orchards and rangelands can be calculated on a large scale. This case could prove the suitability of this model for estimating actual evapotranspiration at different levels of the farm and irrigation networks. Therefore, remote sensing has a very high potential to improve the management of irrigation resources in very large areas using various algorithms and providing an estimate of the amount of ET with minimal use of ground data. Using remote sensing technology and GIS, acceptable results can be obtained in estimating the actual evapotranspiration rate, especially in large areas. If the parameters of the energy balance equations and Penman-Monteith could be calculated from satellite images spatially, with a suitable plant coefficient, the two methods would have similar results in estimating the rate of evapotranspiration. Using this method, the plant coefficient, which is one of the important factors in calculating the evapotranspiration of plants, can be accurately determined.
Urban Planning
Seyed Asadollah Hejazi
Volume 19, Issue 54 , February 2016, , Pages 105-125
Abstract
Insufficient garbage hygienic burial is a sign of lack of planning and economic efficiency and a warning to environmental issues. By rapid development of urban area, place of garbage burial is considered insufficient and it affects directly the expenditure in remote and small regions. Thus by this approach ...
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Insufficient garbage hygienic burial is a sign of lack of planning and economic efficiency and a warning to environmental issues. By rapid development of urban area, place of garbage burial is considered insufficient and it affects directly the expenditure in remote and small regions. Thus by this approach the present paper aims to localize the urban garbage burial in Marageh in mathematical situation of east 46 ̊07́ 46˝-46 ̊ 43́ 33˝ and north 37 ̊00́ 52˝-37 ̊44́ 35˝. With high population, this city lacks healthy center for urban garbage disposal and this causes environmental problems. By using AHP and satellite images, field operations and sampling from case study area, different variables were evaluated in order to choose the best location for urban garbage lanfill. A map was prepared with raster format in GIS for each variable layer. All criteria were compared in pair and finally the map of suitable locations for urban garbage landfill were proposed. The results of analysis were categorized in five classified from significant to very weak, so that the region with 2972 ha of area as 1.36 percent of Marageh city is covered as the best location for hygienic disposal. Finally the field operations performed and the map was drawn in GIS showing that the favorable region liesnear the village Aghcheh Kohl, whose distance is 15 km from the city of Maragha and research priorities.
Climatology
Majied Rezaee Banafshe; Fateme Jaafari Shendi; Fereshte Hosseinalipour Ghazi; Majied Alimohammadi
Abstract
In this study, frequency and location of Moisture Flux Convergence (MFC) related to heavy rainfall have been analyzed using environmental to circulation approach. Based on the threshold of upper 99 percent, we selected 106 days of the super and overall heavy rainfall from IRIMO data base. MFC’s ...
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In this study, frequency and location of Moisture Flux Convergence (MFC) related to heavy rainfall have been analyzed using environmental to circulation approach. Based on the threshold of upper 99 percent, we selected 106 days of the super and overall heavy rainfall from IRIMO data base. MFC’s frequency and their locations have been detected from 00 to 1200 E and 00 to 800 N in the five levels (1000, 925, 850, 700, 600 and 500 HPa level) at 00:00, 06:00, 12:00 and 18:00 UTC. Analysis of MFC indicated that among upper levels, frequency of MFC in 850 hPa, due to high frequency is very important
Climatology
Mohama Raheimi; Mohamad Reza Yazdani; Moslem Asadi; Nafise Pegahfar; Mohammd Taleb Haydari
Abstract
Abstract The aim of this study is to investigate possible deviations from normal for Some climatic parameters in the Kurdestan. Calculation and analysis is done based on variables such as temperature, precipitation, humidity and maximum wind speed. Period examined in this study is a 30-year period between ...
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Abstract The aim of this study is to investigate possible deviations from normal for Some climatic parameters in the Kurdestan. Calculation and analysis is done based on variables such as temperature, precipitation, humidity and maximum wind speed. Period examined in this study is a 30-year period between 1983 and 2012 and is included Sanandaj, Saghez, Ghorveh, Marivan, Zarina Stations and Bijar At first, will identify data changes using the Mann-Kendall test. Then Characterized type and time of change. At the end Pearson correlation test was applied between variables. The results of data analysis indicate that start time of more changes is sudden and includes both the trend and fluctuation. Also, the results of the pearson correlation test suggests in most stations, there is positive significant correlation between rainfall and humidity and also negative significant correlation between temperature and humidity parameters.
Geotourism
M. Taghvaei; fatemeh jalalian
Abstract
Evaluation of climate comfort and the suitable days for recreational walking in urban areas is a significant aspect of successful planning aimed at promoting the urban tourism industry. Khuzestan is a vast province in Iran with very high tourism potentials as well as climatic variety, and can be regarded ...
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Evaluation of climate comfort and the suitable days for recreational walking in urban areas is a significant aspect of successful planning aimed at promoting the urban tourism industry. Khuzestan is a vast province in Iran with very high tourism potentials as well as climatic variety, and can be regarded as a tourism pole in Iran. This study aims to use the Equivalent Physiological Model for determining the number of climate comfort days in Khuzestan Province. To this end, the mean values of the daily data provided by eight synoptic meteorological stations during a ten year period (2000-2009) were used. Four meteorological factors were considered: dry air temperature, relative humidity, cloudiness, and wind velocity. The following cities were studied: Abadan, Ahvaz, Behbahan, Dezful, Iezeh, Masjed-e Soleiman, Ramhormoz, and Shustar. Upon feeding the mean data obtained for these cities to Rayman, the number of climatically suitable days for recreational walking in each city were determined. Upon taking into account the periods with negligible high- and low-temperature stresses, the output obtained from the computer model indicated that Iezeh with 168 climate comfort days was the most suitable city for accomodating tourists; followed by Masjed Soleiman (139 days), Ahvaz (130 days), Shushtar and Abadan (128 days), Behbahan (124 days), Ramhormoz (119 days), and Dezful (116 days). The results also showed that between late November and late March, Khuzestan Province would generally provide climatically favorable conditions for the visiting tourists.
Urban Planning
Fazllollah Karimi Ghotbabadi; Ali Zanghiabadi
Abstract
Resilience Against Earthquake, which is actually how geographical, societal, economic, institutional, and so on societies are affected by disasters, is one of the issues that should be addressed in every society. It is important to note that the type of attitude toward resilience and how it is analyzed ...
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Resilience Against Earthquake, which is actually how geographical, societal, economic, institutional, and so on societies are affected by disasters, is one of the issues that should be addressed in every society. It is important to note that the type of attitude toward resilience and how it is analyzed on the one hand plays a key role in how resilience is understood and its causes and on the other hand it affects the policies and measures of risk reduction and how to deal with it. The purpose of this study was to classify new urban Habitations of Isfahan city against earthquake hazard. According to the investigated components and the nature of the issue, the approach that is used in this research is "descriptive-analytical". The statistical population of this research consists of 6 new Habitations of Shahin Shahr, Majlesi, Sepahan Shahr, Fooladshahr, Baharestan and Shahid Keshvari Township. The purpose of this research is practical and has been done in the literature and Library of research for data collection through library method. In this study, the authors sought to answer the question of what is the level of resilience of new urban Habitations in Isfahan urban area against earthquake? Based on the results of this study, the new Habitations of Shahin shahr, Shahid Keshvari, Baharestan, Fooladshahr, Sepahan Shahr and Majlesi with desirable functions of 0.889, 0.335, 0.300, 0.279, 0.275 and 0.272 respectively have Ranks 1 to 6 in social resilience against earthquake risk.
Climatology
asadollah khoorani; zahra jamali
Abstract
The aim of this paper is assessment and comparison of potential impacts of climate change on drought indices in an arid and a semiarid station. For this purpose, daily data of minimum and maximum temperature, sunshine and precipitation are used. This data were downscaled statistically by using ...
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The aim of this paper is assessment and comparison of potential impacts of climate change on drought indices in an arid and a semiarid station. For this purpose, daily data of minimum and maximum temperature, sunshine and precipitation are used. This data were downscaled statistically by using LARS-WG model based on A2, B1 and A1B scenarios. These climatic parameters are projected for 2011-2040, and RDI index was extracted for both observed (1961-1990) and projected data from HADCM3 model. The research outcomes show drought severity has increased under each scenario in both stations, except for Shahrekord under B1 scenario. For Bandarabbbas station, percent of droughts are about 6.7, 10 and 10 under A1B, A2 and B1 scenarios respectively. This parameter is 6.7 and 3.3 percent under A1B and A2 in Shahrekord station and the number (percent) of droughts will decrease about %10 under B1 scenario in this station.
Climatology
Hosein Rahmati; Samad Gholizadeh; Hosein Ansari
Abstract
Accurate estimation of watershed runoff has a crucial role in its management. Until now many researchers used different models such as integrated and distributed models, and also artificial intelligent methods to estimate basin runoff. For this purpose in this study for estimation the runoff of Bara-Ariye ...
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Accurate estimation of watershed runoff has a crucial role in its management. Until now many researchers used different models such as integrated and distributed models, and also artificial intelligent methods to estimate basin runoff. For this purpose in this study for estimation the runoff of Bara-Ariye basin with an area of 112 km2 and average annual rainfall of 306.72mm, two different models namely WetSpa and artificial neural network (ANN) were used. To run of the WetSpa model two categories of information, including raster maps and metrological data and for ANN model only meteorological data were used. The 5 years data were used to simulation runoff of Bara-Ariye basin. The statistical parameters such as correlation coefficient (R2), the square of the standard error of the mean (RMSE) and mean absolute error (MAE) were used for comparison results of two models. The results indicated that the WetSpa model with R2 and RMSE equal to 0.920 and 0.346 m3/s and also ANN model with R2 and RMSE equal to 0.959 and 0.310 m3/s have the ability to simulate runoff of Bara Ariye River. Also using neural network model reduced the error estimation of watershed runoff 11.6% compared with the WetSpa model.
Geomorphology
gholam hassan jafari; Mahdei Abbasei
Volume 22, Issue 65 , November 2018, , Pages 117-139
Abstract
Review of river terraces is main issues related to river geomorphology. They are areas with low slope that is parallel to the axis of the river valley and are in the higher levels of the river bed and created through cutting the river bed and response to changes in external factors such as climate, tectonics ...
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Review of river terraces is main issues related to river geomorphology. They are areas with low slope that is parallel to the axis of the river valley and are in the higher levels of the river bed and created through cutting the river bed and response to changes in external factors such as climate, tectonics and base level. Ghezel owzan River is as one of the longest river systems in the country, responded well to changes in external factors (climate, tectonics and base level). For this purpose, after dividing the river into nine periods, Profile was drawn on the terraces adjacent faults in order to study in terms of height level and symmetry. In order to assess the effect of Tectonic activity on Ghezel owzan Catchment area, Four sub-basin are studied: Divandareh, Zanjan rood, Gharanghochay and Hashtchin- Tarom, from Upstream to downstream , With the help of two indicators, River Gradient length (SL) and Valley floor width to valley height (Vf) by determined sections, The results indicate the relationship building terraces with tectonic factors. This means that form terraces in downstream river is more a reflection of the effects of neo-tectonics and tectonic if they originate, reflecting the effects of tectonics. Feedback such activities is in basin downstream for nested alluvial fans and vertical-walled terraces in bedrock and in the mirage nested terraces in alluvial sediments with low sides slope.
Geomorphology
Somayeh Khaleghi; Shahram Roostayee; Ali Mohammad Khorshiddoost; Mohammad Hossein Rezaee Moghaddam; Mhammad ali Ghorbani
Abstract
Catchments and river systems altered in response to changes of internal and external factors. Hence, several techniques have been proposed to simulate these changes and Evolution of the river systems. Cellular Automaton is one of the newest river cellular models that define the catchment landscape with ...
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Catchments and river systems altered in response to changes of internal and external factors. Hence, several techniques have been proposed to simulate these changes and Evolution of the river systems. Cellular Automaton is one of the newest river cellular models that define the catchment landscape with a grid of cells, and development of this landscape is determined by the interactions between cells (for example fluxes of water and sediment) using rules based on simplifications of the governing physics.This method is used for simulation of Lighvan catchment with 20 m cell size and 10 years precipitation data (1380 to 89). Simulation results evaluated in two qualitative and quantitative methods, So that the relative changes in the catchment and spatial distribution of erosion and aggradation value in the entire catchment and each cell was identified on Digital Elevation Model map and also, values of different particle size distribution in different discharges showed that with the increasing discharge, and amounts of sediment increased and among this coarse sand have the highest value and very fine sand, clay and silt particles have the lowest value. Also investigation of longitudinal and latitude profile show that Lighvan river is in mature stage and Lighvan channel has been underwent aggradation due to climate changes and increasing catchment precipitation in last decade that causes hillslope erosion and channel aggradation. Finally, Since certainty of Cellular Automata results is difficult and CAESAR is sensitive to input parameters but comparing the results with previous investigation and field observation shows that Cellular Automata has acceptable results.
Esmail Daviran; Jamileh Tavakolinia; Saeed Gholami; Mehrdad Daneshdost
Volume 18, Issue 48 , June 2014, , Pages 123-148
Abstract
Nowadays, implementing the concept of participation and participatory planning in the planning literature has come up firstly in developed countries then, its developed form in developing countries because of its failure and the criticisms against the urban planning process before 1950s (such as physical-oriented ...
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Nowadays, implementing the concept of participation and participatory planning in the planning literature has come up firstly in developed countries then, its developed form in developing countries because of its failure and the criticisms against the urban planning process before 1950s (such as physical-oriented urban plans). Awareness of the participatory capacity of urban residents to implement programs and achieve planning goals is essential. Therefore, recognition of participation different dimensions and its evaluation in urban areas leads to understanding of the differences among urban systems (urban areas), and it will make urban planning process organized and operational according to the excising differences. This study has attempted to compare the adaptive capacity of people's participation in the old and new fabrics with using quantitative research methods, hierarchical analysis model (AHP) and correlation analysis. The study is validated using case study in Hossaineyeh (old tissues) and Ghaem town (new tissue) in Zanjan city. The results show that despite multiple problems in the old fabrics, participation capacity of its residents in upgrading environment is higher than in the new fabrics.
Geomorphology
masumeh Rjabi; ali shiri tarzam
Abstract
Abstract There are more than 50 salt domes with neogene age in the northwest of Iran 48 Domes of which have measurable dimensions. One of the criteria's according with which we can classify Iran north-west salt domes is structural features of salt's appearances in the region. In this article salt ...
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Abstract There are more than 50 salt domes with neogene age in the northwest of Iran 48 Domes of which have measurable dimensions. One of the criteria's according with which we can classify Iran north-west salt domes is structural features of salt's appearances in the region. In this article salt domes in north west of Iran, according to their structural characteristics, have been divided into two groups with mono-clinal structure and anticline structure, at first the scatter diagram, regression line, the kind and amount of correlation between morphometric parameters of each group have been analyzed. Then the parameters of each group have been compared with those of the other group. Examining the salt domes morphometric parameters show that mono-clinal domes in comparison with the anticlinal domes have area, circularity coefficient and height but more stretching and elongation coefficient. Also, mono-clinal domes are located on faults or in a near distance from faults, therefore the mono-clinal domes in comparison with the anticlinal domes, are more influenced by the faults
Geomorphology
Shahram Roustaie; Davod Mokhtari; Zahar Ashrafi Fini
Abstract
Introduction Landslide is one of the most important and disastrous natural hazards which can bring many financial losses and heavy casualties worldwide every year. Entropy means a quantity of disorder between causes, results or decisions taken in different situations, it can be highly effective particularly ...
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Introduction Landslide is one of the most important and disastrous natural hazards which can bring many financial losses and heavy casualties worldwide every year. Entropy means a quantity of disorder between causes, results or decisions taken in different situations, it can be highly effective particularly in geomorphological studies such as landslide, where existing data are confused with uncertainties. Material and Methods Topographic maps 1: 25000 scaled, geological map of Makran and Marzanabad scale map 1: 100000 and ASAR images from ENVISAT since 2003 till 2009 in the region were used as the main data in this model. Active landslide also detected in the basin. Then, 17 zones were selected via field visiting and Google earth software images. Also location of landslides recorded using GPS. Analyzing the data and providing the required maps were done using Arc Gis10 and SAGA. A total number of 13 effective parameters were selected based on condition of studied areas for next step. Then slide layer, slide direction, elevation, geology, land use, distance to fault, distance from the river and distance from the road obtained by Arc Gis10 analysis, vegetation layer (NDVI) measured by ENVI4.2 software and the layers of surface area ratio (ASR), topography index (TPI), Topographic Wetness Index (TWI) and slide length index (SLS ) were analyzed by SAGA software. After providing the information layers and importing the landslide locations, the properties of each slip extracted due to the mentioned layers and scoring was regarding to the role of each factor in the occurrence of slide. And the primary matrix was formed according to the entropy method. The decision matrix contains information which can be evaluated by entropy as a criterion. Then by calculating the entropy matrix and weight of 13 factors (WJ), the (HI) index will be obtained as landslide risk hazard Results and discussions At first due to the characteristics of the occurred landslide, each class was scored from the information layers which were obtained by examining the region after two field visits, study of aerial photographs and satellite imagery and identification of the affecting factors and their roles to create slip. Then the information layers used in the research were categorized and scored as a raster data and utilized as the main data in the formation of an entropy matrix for further analysis. To convert qualitative values into quantitative a bipolar scale is used. The bipolar interval scale is a general method for ranking quantitative and qualitative indexes. Measurement in this technique is based on a 10-point scale so that zero specifies the lowest possible value which is practically comprehensible and ten represents the maximum possible value of the intended index. The middle point is also the point of dividing the scale into favorable and unfavorable data. Conclusion Prioritizing the effective factors using the Shannon entropy index indicates that data layers such as slides direction, land use, elevation, slope, normalized vegetation index and the distance from the river had the greatest effect on the landslide occurrence in the area. And the topography, moisture index, geology, distance from fault and road, and the rest of the information layers had the least effect. Based on landslide hazard map of Taleghan watershed, very low to low risks regions are some areas in the northeast, central and southwest regions, while most of the studied areas have a moderate to very high risks. In general, site locations which could be at risk in the event of a landslide are limited to residential areas, roads, rivers, lakes and power lines. There are various land use in the region and Residential and demographic areas are at the top of the priority list. One the other hand there is Taleghan dam which can create a much greater potential risk if landslide happens at its location.
Climatology
saeid Jahanbakhshasl; Behrouz Sari Sarraf; Hossein asakereh; soheila shirmohamadi
Abstract
Introduction Climate extreme events have expanded and intensified during the 21st century. Extreme precipitation event annually leads to severe damage in agriculture, environment, infrastructures and even the human loss. Therefore, identification of the behavior of such events is one of the pivotal aspects ...
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Introduction Climate extreme events have expanded and intensified during the 21st century. Extreme precipitation event annually leads to severe damage in agriculture, environment, infrastructures and even the human loss. Therefore, identification of the behavior of such events is one of the pivotal aspects of climatic change and the increase of information about extreme precipitation is tangibly necessary for the society especially with regard to those, living in the areas with high risk of flood. extreme precipitation events can be defined as significant deviations from the precipitation mean. As a result, to identify such precipitations, a criterion was needed to evaluate the rate of precipitation values’ deviation from mean. Importantly, given the different types of indicators and thresholds proposed for extracting extreme precipitation, choosing an appropriate threshold with climatology conditions of the study region which could also be capable of identifying extreme precipitation optimally in terms of amount and frequency, requires high precision. The present study aimed at identifying the extreme precipitation events in the west of Iran through introducing the appropriate threshold and spatial scale for the extraction and investigation of these events.Data and MethodsThe west of Iran with the areaof 230760 square kilometers includes about 14% of total area of Iran. Zagros Mountains, stretching from northwest to southeast, are the most important feature of the west of Iran. Two databases have been used in this study. The first database regardsthe precipitation data of 1129 synoptic stations, climatology and rain gauge in the west of Iran. The stations statistics have been checked in terms of existence of any outlier. Ultimately 823 stations out of 1129, were used for producing gridded data. The gridded data, are the results from the interpolation of daily precipitation observations since January 1st 1965 to December 31st 2016, using Kriging interpolation method and spatial separation of 6*6 kilometers. the final base, a matrix possessing the dimensions of18993*6410 (representing time on the rows and place on the columns) was developed. The second database referred to the Sea-level pressure patterns (Hectopascal).To identify such precipitations, in addition to the main threshold that includesthe mean of precipitation more than 75th percentile for each pixel per day of a year, a second threshold including the standard deviation of these precipitations (with the values of one, two, and three times more) has been also added to the mean. Accordingly, three groups of extreme precipitation were identified in the region which were separated according to the spatial zone that had been covered. Moreover, the sea-level pressure patterns were extracted with regard to these precipitations for each zone andthen classified using clustering analysis technique.Results and Discussionthree groups of precipitations with different coverage zoneswere identified: 1- 83 days with equal to or more precipitation than the mean of precipitations more than 75th percentile plus one time standard deviation which cover more than 40% of the region. 2- 144 days with equal to or more precipitation than the mean of precipitations more than 75th percentile plus two times standard deviation which cover more than 20% of the region. 3- 82 days with equal to or more precipitation than the mean of precipitations more than 75th percentile plus three times standard deviation which cover more than 20%The maps of 7 participation groups of the first type in comparison with 6 precipitation groups of the second and third type contain common and repetitive patterns. Each precipitation maps of the second and third types explains a type of patternand there is minimum overlapping in the maps. Therefore, the precipitations are obtained from the most particular and distinct atmospheric patterns. considering the three properties of 1- equality of precipitation groups of type two and three (both include 6 groups of atmospheric patterns). 2- repeating the atmospheric patterns of precipitation of type two prominently in the precipitations of type three. 3- the formation of the most optimum atmospheric modeling for the precipitations of both thresholds in the zones of 20% and higher, in the west of Iran, the extreme precipitations refer to those with higher means of recipitations more than 75th percentile plus two times standard deviations,have mostly occurred in the zone of 20% and higher of the region.
Seyedasadollah Hejazi
Volume 19, Issue 51 , April 2015, , Pages 127-143
Abstract
Increment of soil carbon is an appropriate method for reducing atmosphere dioxide carbon density resulted from foresting in the unutilized and destroyed lands and its optimal management due to increase of concern about universal heating and changing of climate. According to universal heating and ...
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Increment of soil carbon is an appropriate method for reducing atmosphere dioxide carbon density resulted from foresting in the unutilized and destroyed lands and its optimal management due to increase of concern about universal heating and changing of climate. According to universal heating and expansion of urban industries issue in the air pollution; capacity of Tabriz Province lands in establishing of parks has been investigated by employing AHP. The data were collected by available basic maps and spot 2005 satellite images and also field studies. The zone digits of maps were converted to criterion maps (slope, direction, height, land usage, geology, soil, city, communication network, village and rivers) by using spatial information techniques and they were valuated for paired comparison. The value of each scale was considered according to capacity of each unit. The paired comparison of the spatial information techniques criteriawas conducted by using Marionian attached program in GIS and the studied criterion weight were calculated. Then the final map in raster format was extracted by using each weight and was categorized in five classes range from very weak to very good and the best location was extracted with an area about four percent of the whole Province
Climatology
Jaber Soltani; masoud ahmadi nik; Ahmad Ahmadinik
Volume 23, Issue 69 , December 2019, , Pages 127-147
Abstract
Reference evapotranspiration is one of the necessary parameters to determine crop water requirements and irrigation planning. Having accurate estimates of this parameter is essential for planning and managing of water resources. Several experimental models have been proposed to estimate evapotranspiration. ...
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Reference evapotranspiration is one of the necessary parameters to determine crop water requirements and irrigation planning. Having accurate estimates of this parameter is essential for planning and managing of water resources. Several experimental models have been proposed to estimate evapotranspiration. According to the spatial variability of climatic parameters, using remote sensing method that considers these changes is very favorable. Among the most widely used models that accurately estimate evapotranspiration using remote sensing, can be mentioned wavelet model. In this regard, the purpose of present study is to evaluate the accuracy of wavelet models to estimate the reference evapotranspiration using parameters derived from satellite images contains the Earth's surface temperature and amount of water vapor in the atmosphere. In this study, used atmospheric and satellite images data of four station contains Anar, Kerman, Rafsanjan and Shahrebabak to develop and evaluate wavelet models. In the first scenario, temperature, in the second scenario, atmosphere water vapor parameter and in third scenario, both parameters simultaneously was used as the model input. Results of this study showed that despite the high accuracy of models in different scenarios, the wavelet model use two-parameters, temperature and steam simultaneously (third scenario), with a coefficient of 90% compared to other models had the more accurate.
Gholamali Mozaffari
Volume 16, Issue 39 , May 2012, , Pages 129-150
Abstract
Abstract
The global warming process during the last century not only has affected meteorological elements, but it also affected onset and end of meteorological elements. For studying probability changes in time series of onset and end date of rainfall thresholds 0.1 and 0.5 mm and more in the country ...
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Abstract
The global warming process during the last century not only has affected meteorological elements, but it also affected onset and end of meteorological elements. For studying probability changes in time series of onset and end date of rainfall thresholds 0.1 and 0.5 mm and more in the country level and deciding on the kind and its direction, daily rainfall data during past 45 years (1962-2006) of 29 synoptic meteorology stations has been used. First, onset and end date of rainfall in Julius code has been implied. The homogeneity of time series was tested by run-test missing value and was constructed by auto-correlation. For distinguishing random data and trend, Mann-Kendal method was used. The type and commencement time trend was calculated and the changes were also calculated on daily basis with Mann-Kendal graphical test and moving average of 5 years. The findings of this research show that there are trends at onset and end date of rainfall in some stations. On the other hand, in some meteorological stations, onset date of rainfall shifted forward and end date of rainfall shifted backward and the rainfall period length in some stations has been decreased.
Climatology
Mohamad Saligeh; mohammadhosain naserzadeh; ali ghaffari
Volume 22, Issue 64 , September 2018, , Pages 129-147
Abstract
The mechanisms of climbing rainfall in different areas follow different patterns. Identification of those patterns can increase the environmental planning .The stability indicators which are known as instability indicators are relations through which we can study the amount of instability ...
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The mechanisms of climbing rainfall in different areas follow different patterns. Identification of those patterns can increase the environmental planning .The stability indicators which are known as instability indicators are relations through which we can study the amount of instability of convection of the atmosphere in any area for studying and predicting falls. These indicators are used for convection activities and basically are studied by thermodynamics diagrams and Radio sounds data. The main aim of this paper is studying the chronological features of precipitations over 5 mm .and determining convection precipitation parts of Tabriz spring station based on higher layers of atmosphere . the Tabriz station precipitation data were received from the weather organization cartulary regarding the 35 – year statistic periods and precipitation data for over 5 mm .were chosen while the time frequency was studied . After choosing the samples, the skew – T diagrams of precipitation days inadittion to the instability indicators such as (LI -TT – SI – KI – PW - CAPE)were analyzed . The processing of these data in seasonal scale indicate a frequent happening of those instabilities. The maximum occur once of the precipitations for the April with 131 frequency cases and minimum of this precipitator is in June with 35 cases were observed .The results of drawing skew – t diagrams and measuring the instability indicators show that the role of convection factor is important in spring precipitations because the convection factor is only the main factor not only the amount of convection is critical but also the needed instability for rain is provided. In general, after studying 263 rain samples in spring , it turned out that the convection factor has the most important role in rain occurrence in May and June and the hazards of flood threaten the area .
Geomorphology
mohammad mahdi hosein zadeh; somaiyeh khaleghi; milad rostami
Volume 23, Issue 67 , April 2019, , Pages 129-149
Abstract
River channel change, bank erosion and bank sedimentation are natural process of alluvial rivers that cause destruction of agricultural lands and destroyed of structures around the river bank. The aim of this research is estimation of bank retrogression rate and bank erosion in Galali river (the reach ...
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River channel change, bank erosion and bank sedimentation are natural process of alluvial rivers that cause destruction of agricultural lands and destroyed of structures around the river bank. The aim of this research is estimation of bank retrogression rate and bank erosion in Galali river (the reach between Galali and Shirvaneh village) due to assessment of changes and estimation of potential changes in frequency of bank failures (Safety Factor) and sediment load from the river bank in two different scenario and 12 hours and three reaches by BSTEM model. The big floods can be caused bank erosion in this river and this issue is so important because there are some dams have been constructed in downstream of this river so estimation of erosion and sediment load is very important. Results show that total eroded areas in first scenario are 0.244, 0.372 and 0.054 m2 in reaches 1, 2 and 3 and the total eroded areas in second scenario are 0.272, 0.1 and 0.054 in reaches 1, 2 and 3 respectively. According to bank stability and safety factor, all of three cross-sections are unstable in first scenario and safety factor is less that 1 but safety factor increase in second scenario so that safety factor is around 1 in reaches 1 and 2 and in reach 3 is more than 1. Therefore, by protection works on the erodible banks can be reduced the total volume of the sediment load from eroded bank.
Geotourism
kiuomars khodapanah
Abstract
IntroductionNowadays, the tourism industry is one of the most significant and diverse industries in the world that was developed rapidly and provided considerable income resources for many governments. Nowadays, the sustainability paradigm emerges as a significant and essential issue and has attracted ...
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IntroductionNowadays, the tourism industry is one of the most significant and diverse industries in the world that was developed rapidly and provided considerable income resources for many governments. Nowadays, the sustainability paradigm emerges as a significant and essential issue and has attracted the attention of the global communities in recent two decades. One of the components considered for reaching a sustainable development is resilience, and nowadays, the experience of the occurred crises and their resulted imposed damages makes the human being realize the need for resilience and making resilient settlement areas. Therefore, the prevailing perspective has changed from mere reducing vulnerability to increasing resilience when facing disasters. On the other hand, the touristic villages are prone to the damages resulting from these developments besides having potential factors in line with the tourism and development due to having tourism potential, and in some cases, due to the low resilience and being tourist-friendly besides the risks caused by the lack of the resilience have affected the villagers’ lives. Thus, due to tourism development, resilience must be considered in tourism villages to reduce the risks caused by the occurrence of the possible damages. Therefore, investigating the resilience of these villages can play a significant role in the development of sustainable tourism in them. Tourism villages of the Ardebil area are one of the tourism villages of the province and have the capability for sustainable tourism development. Thus, investigating the resilience of these villages can play an essential role in the sustainable tourism development within them. According to the abovementioned and the effects of the tourism development on the resilience of the rural regions, the current study was conducted to evaluate and assess the resilience of the target villages for tourism in the Ardebil area and sought to answer the following question: what is the level of the resilience of the target villages for tourism in Ardebil area?Data and Method The current research was descriptive-analytical in terms of the nature of the research problem and subject. The statistical population of the current study included 11 target villages for tourism in the Ardebil area with a population of 4278. The data collection method to answer the research questions was the library study and the questionnaire. Four aspects, 10 indicators, and 33 items were used to assess resilience. Multivariate regression analysis was used to analyze the distributed questionnaires, and the one-sample t-test was used to study the effect of the independent variable on the dependent variable and villagers’ opinions on the indicators of resilience. MAIRCA decision-making technique was used to rank the villages. Results and Discussion The one-sample t-test was used to study the resilience status of the target villages four tourism in four aspects. The overall results of the one-sample t-test indicated an average of 2.13 for the resilience status of the villages under study. Given that the observed average of the resilience of the villages was less than 3, which is the medium level of the Likert scale, it can be said that the overall status of the resilience in the villages under study was evaluated as the low level of resilience. According to the obtained results from the one-sample t-test presented in Table 3, the following average values were obtained: 3.42 for the social aspect, 2.31 for the institutional aspect, 22.27 for the physical aspect, and 1.85 for the economic aspect. The significance level of all indicators was lower than the error level of 0.5. However, the t-value was lower than the critical value of 1.96 in the institutional aspect, and the upper limit and lower limit were negative. Furthermore, the average of the social aspect was more than 3, the desirable limit. Therefore, it can be said that the social aspect was at a more desirable status according to the villagers’ opinions. Nevertheless, other aspects are not at a desirable level, which is effective in reducing the resilience of the villages under study according to villagers’ opinions.ConclusionIn general, the findings of this research by investigating the resilience status of the target villages for tourism in the Ardebil area, according to the results of the one-sample t-test, indicate that the overall status of the resilience was not desirable. They also indicate the poor resilience and low tolerance of the tourism villages in dealing with the issues caused by the major presence of the tourists at peak conditions of traveling. The overall results of the one-sample t-test indicated an average of 2.13 for the resilience status of the villages under study. Ranking 11 villages under study based on MAIRDA decision-making technique shows that Alvaresi Village and Aladizgeh Village ranked first and second, respectively, based on the score (Q) and are considered total resilient than other villages of the region and have more resilience against the increase in the needs of the village due to the entrance of the tourists. Atashgah, Golestan, Villa Darreh, Ilanjough, Kalkhvoran-e Viyand, Ghareshiran, and Sardabeh villages have relatively low resilience. Kanzag and Kur Abbaslu villages ranked the last in the rural resilience based on the set of the indicators understudy in the current research and are considered in the class of “lack of resilience”.
Urban Planning
SHahrivar Rostaei; Sonya Karami
Abstract
Housing is greatest asset of family, especially in third world countries. Since each economic source brings power of social and political, possess of housing and housing ownership brings also the many benefits. This benefits when becomes notable that granted to a group of people who were deprived of ...
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Housing is greatest asset of family, especially in third world countries. Since each economic source brings power of social and political, possess of housing and housing ownership brings also the many benefits. This benefits when becomes notable that granted to a group of people who were deprived of this benefits and this group is same women who percent of housing ownership for their show very low rate than men. Because of the importance of this issue for women, in this study we examine the impact of housing ownership on the participation of urban women. This study in terms of nature is Descriptive-Analytical and in terms of target is an applied research. Research method is gauging and 300 persons have been selected by simple random sampling. The statistical method used is including Kendall correlation and path analysis. The results show that impact of housing ownership on the participation is more of its impact on their decision independence, also housing ownership has indirectly affects on women participation.
