Geomorphology
sayyad asghari; Elnaz Piroozi
Abstract
The danger of earthquakes causes irreparable damage to societies. Therefore, it is effective to prepare to deal with it by identifying vulnerable points. Ardabil City is not exempt from this rule due to the existence of many faults, seismic points, and non-compliance with standards. Based on this, the ...
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The danger of earthquakes causes irreparable damage to societies. Therefore, it is effective to prepare to deal with it by identifying vulnerable points. Ardabil City is not exempt from this rule due to the existence of many faults, seismic points, and non-compliance with standards. Based on this, the current research seeks to measure and evaluate the vulnerability of Ardabil City against the risk of earthquakes. For this purpose, first by examining research sources related to the subject, some of the most important factors affecting the occurrence of this phenomenon were prepared as independent variables. Valuation and standardization of the layers were done by using the fuzzy membership function and weighting of the criteria, using the CRITIC method. Finally, modeling was done using the MARCOS multi-criteria decision-making method. The results of the study showed, respectively; The factors of distance from the fault, land use, and distance from the earthquake center have the greatest influence on the occurrence of earthquakes in the region with the weight coefficient of 0.110, 0.104, and 0.102. In addition, according to the results of the research, 16.67% of the entire city of Ardabil has a high vulnerability potential and 30.27% has a relatively high vulnerability probability. Also, based on the results of the research, Ardabil city is at an average level in terms of the level of vulnerability to earthquake risk, the cities of Hir and Arallo are in the high vulnerability category and Somarin city is in the relatively high vulnerability zone. In addition, according to the findings of the research, 22.86 and 30.86 percent of the settlements and villages of Ardabil, respectively; In the area with high and relatively high vulnerability, 13.14% in the area with moderate vulnerability, and respectively; 22.28 and 10.86% are located in the area with relatively low and low earthquake vulnerability.
Geomorphology
Leila Aghayary; Sayyad Asghari Saraskanrood; Batool Zeinali
Abstract
Flood is one of the most common natural hazards that causes many human and financial losses all over the world every year. In order to reduce the damages caused by floods and flood management, it is necessary to assess the possibility of danger and prepare maps of possible danger areas. Flood-flooding ...
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Flood is one of the most common natural hazards that causes many human and financial losses all over the world every year. In order to reduce the damages caused by floods and flood management, it is necessary to assess the possibility of danger and prepare maps of possible danger areas. Flood-flooding potential zoning is one of the methods that can be adopted to reduce the risks caused by floods. In recent years, many destructive floods have occurred in Garami county. For this reason, in order to manage floods, reduce damages and use water resources correctly, the flood potential of Germi county has been studied. In this study, 9 factors of slope, slope direction, height, precipitation, distance from the river, density of the river, lithology, distance from the city and village and land use were identified as effective factors for causing floods in the region. Standardization of maps was done using fuzzy method and zoning of prone areas was done with Aras multi-criteria algorithm in Edrisi software environment and according to the results of flood risk zoning; The criteria of lithology, land use, slope, distance from the river are the most important factors involved in creating the risk of subsidence of the study area with the weight coefficient of 0.853, 0.808, 0.674 and 0.4867 respectively, and 189.70 and 189.70 respectively. 20/388 square kilometers of the area has a very high probability of danger.
All other Geographic fields of studies , Interdisciplinary
Negin Fallah Haghighi; Ghasem Ramezanpour Nargesi; Gholamhossein Abdollahzadeh; Zeinab Sharifi
Abstract
One of the most significant factors affecting the regional development is having infrastructure. Therefore, the present study aimed at assessing the development of the country's provinces in terms of infrastructure indicators which based on 20 indicators, 31 provinces were ranked. First, indicators were ...
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One of the most significant factors affecting the regional development is having infrastructure. Therefore, the present study aimed at assessing the development of the country's provinces in terms of infrastructure indicators which based on 20 indicators, 31 provinces were ranked. First, indicators were collected. Then, extracting the weight by principal component analysis method, the indicator was combined using TOPSIS method and the composite indicator of infrastructure development of the provinces was calculated. In order to investigate the regional inequality, the coefficients of variation and Williamson were applied. Also, zoning the provinces was carried out. Data analysis was performed using SPSS, Excel and Arc GIS software. According to the results, the highest inequality was the infrastructure related to the country's transportation whereas the lowest inequality was related to indicators of the rural infrastructure. The findings of composite indicators revealed that the provinces of Tehran, Khorasan Razavi, Isfahan, Gilan and Hamedan have the best situation whereas Sistan and Baluchestan, Hormozgan, Kohgiluyeh and Boyer-Ahmad, South Khorasan and Alborz have the lowest rank, respectively. Based on the results of zoning, provinces including Tehran, Khorasan Razavi, Isfahan, Gilan and Hamedan placed in the first level of development, most of the northern, central and southern provinces were in the second level, southern and southeastern provinces were in the third level. Furthermore, according to the hierarchical cluster analysis, the provinces were divided into three groups: developed, semi-developed and underdeveloped. Therefore, it can be concluded that the pattern of spatial distribution of infrastructure development is not balanced among the provinces of Iran and in any decision to invest in the infrastructure sector; underdeveloped provinces should be more taken into consideration.
GIS&RS
Leila Dehghani Firoozabadi; Alireza Ildoromi; Mir Mehrdad Mirsanjari; sahar abedian
Abstract
IntroductionToday, tourism is considered as one of the most important activities in the world, and it has high potential in generating foreign currency incomes and creating jobs. According to the definition, ecotourism is a responsibly journey to natural areas that protect the environment and improve ...
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IntroductionToday, tourism is considered as one of the most important activities in the world, and it has high potential in generating foreign currency incomes and creating jobs. According to the definition, ecotourism is a responsibly journey to natural areas that protect the environment and improve the lives of local people. Despite having the necessary potential in tourism in Iran, it has not succeeded in attracting tourists. The first step towards achieving tourism development in the country is identifying, assessing, and introducing the existent potentials and capabilities to provide development opportunities with comprehensive knowledge and planning. Dorud is one of the unparalleled regions in Lorestan province due to the availability of sufficient water resources that can be a good place for water resource recreation. Unfortunately, despite these tourist attractions, there has not yet been an organized approach to land use planning that takes into account these natural talents of the region for water tourism. According to the mentioned issues, the present study intends to use a multi-criteria evaluation to identify and zonate suitable areas of water tourism, and its purpose is to properly plan the tourism with environmental considerations and prioritize these areas in the Dorud city.Materials and methodsDorud is situated in Lorestan Province. It is located between latitudes 33°16'-33°44'N and longitudes 48°47'-49°19'. In this study, by investigating the factors influencing the zoning of tourism-prone areas, Dorud region has been zoned based on multi-criteria evaluation model. Multi-criteria evaluation is a structured process for defining goals, formulating criteria, evaluating, and solving decision problems. In this study, the criteria was detemined based on the criteria of the ecotourism national document, the criteria of the ecological potential assessment, and the ecotourism criteria in the protected areas. After the preparation of the criteria maps, it is necessary to standardize the maps that have different ranges and scales. In this research, Fuzzy and Boolean methods were used to standard the scales. In order to fuzzy the criteria maps, the pixels are ranked based on the membership degree in the fuzzy range from 0 to 255, and high degree of membership indicate more desirability of pixels for tourism. In the Boolean method, zero values are inappropriate areas, and values of one indicate suitable areas for development. In order to weigh the criteria, the pairwise comparison method was used in the form of analytical hierarchy process (AHP), and then the maps were combined using the weighted linear combination method. Then, in order to prepare the final suitable map, it is necessary to extract the zones, which have 70% suitability and have more than 5 hectares. Finally, suitable zones for recreation prioritized by TOPSIS model.Result and discussionIn this research, the effective environmental criteria were considered as informational layers in water recreation zoning. Criteria were taken with two views: one for water recreation in lotic water resources, and the other on flowing water resources. The effective environmental criteria in water recreation zoning classified in 5 criterion groups involved physical, ecological, fundamental, safety, and social-economic and 27 sub criterion for water recreation in Lotic water resources, and 26 sub criterion for water recreation in lentic water resources. At this step, due to the difference in the type of tourism recreation in lotic and flowing water resources, two types of utility maps for the flowing water resources (waterfall and rivers) and the latic water recources (mineral fountain, dam, water reservoirs, sarab, lakes and wetlands) were prepared. Then, in order to zoning the area, the final raster layer was classified into four categories based on the suitability of the land. Thus, the first categort with high potential (the suitability of more than 150), the second category with the average potential (the suitability of 110 to 150), the third category with the weak potential (the suitability of 50 to 110), and the forth category without suitability (0 to 50) were considered. In the next step, the first category was considered as the best class for the water recreation, and extracted from the suitable map. Based on the performed classification, 8.47% of the area has high potential for recreation in flowing water resources, and 10.28% of the area has high potential for recreation in latic water resources. Finally, six suitable zones in each of the recreations were selected, and tourism zones were prioritized according to the TOPSIS method.ConclusionThe results of criteria weighting for latic water resources showed that distance from lake, wetland, sarab, dam and water reservoirs are the most important criteria in suitable recreation areas. In addition, the results of the combination of AHP and TOPSIS in water resources showed that the slope and depth with a weight of 0.182 and, 0.173, respectively are the most important indicators in this model, respectively. Consequently, results showed that Merok dam, Mahi hamyane Sarab and pond, Heshamatabad 2 pond zones respectively have highest preferences for water recreation in lotic water resources. In relation to the tourism recreation in flowing water resources, weighting criteria shows that distance from the river, slope and height are the most important. In addition, the results of the AHP and TOPSIS combination in flowing water resources show that the slope, water speed, and water volume with a weight of 0.191, 0.171, and 0.140 are three important indicators in this model, respectively. As a result, Sezar River, Gaharrood 1 and Gaharrood 2 have highest preferences for water recreation flowing water resources. The proposed zones in this research were determined based on ecological and socio-economic criteria that indicate the high capability of the zones for this type of recreation. Of course, in order to implement tourism goals, further studies are needed in areas such as determining the ecological capacity of the region, soil erodibility and so on.
Geomorphology
somayeh karimi; Masoumeh Rajabi; Mohammad Hossein Rezaei Moghaddam
Abstract
Introduction Soil erosion is a process of moving soil by water or wind - when the soil particles are detached and is one of the main forms of soil destruction around the world which restricts sustainable development of the earth resources by creating negative environmental effects (Marques et al, 2018). ...
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Introduction Soil erosion is a process of moving soil by water or wind - when the soil particles are detached and is one of the main forms of soil destruction around the world which restricts sustainable development of the earth resources by creating negative environmental effects (Marques et al, 2018). Every year more than 75 billion tons of soil is eroded from the earth's surface which is amounted to 134 tons per square kilometer (Sobhani, 2002,18). In Iran too nearly 2 billion tons of valuable soils are lost annually and damages resulted from soil erosion is amounted to 56 billion dollar (Gholami, 2002,20). Karst areas have their special conditions due to their special hydrological and geomorphological conditions. Alvand basin is a distinguished karset basin in the west of Kermanshah province and the problem of soil erosion has existed in this basin for long time and exerted destructive effects on the environment. It is feared that by continuing current trend and its intensification due to human activities and destruction of oak forests, this basin faces with stone desertification in addition to disturbance in karst water resources and hydraulic constructions of the basin face with problems resulted from sediment. Meanwhile no study has been conducted in the Alvand basin surface to assess soil erosion by taking in to account karst condition, then conducting this research is essential and necessary. The goal of this study is to evaluate and zone soil erosion by taking karst geomorphological condition in Alvan basin in to account. Methods and materials Library, descriptive-analytical, field methods as well as SMLRK model were used. Above model includes influential internal parameters (infiltration, erodibility and morphology) and external parameters (land use and rainfall erosivity). In this study above model is conducted in two modes with and without involvement of infiltration parameters. For verification of the maps error matrix of two maps were calculated. Research data includes Landsat satellite image, 10 meters DEM, geological and pedological map and rainfall data from climate stations of the region. Results and Discussion In the zoning map obtained from equation (5) infiltration parameter which covers karst aspects has been neglected (Fig.7). Classes with low and very low erosion constitute 44.68% of the basin area, class with moderate erosion 21.9% of the basin area and classes with high and very high erosion 33.4% of the Alvan basin area. Totally, nearly 55% of the Alvand basin area is exposed to the risk of moderate to high soil erosion. Low erosion class conforms to plains’ surface and hilly regions of the basin. These regions generally have agricultural and rangeland and semi-dense forests use. Texture of the soil in these regions is heavy with lot of mineral materials and very deep. This karst class morphologically has low sleep and the directions are back to the sun and are less in the realm of the karst regions. Zone with moderate erosion conforms to erosive plains in the west of the basin, hilly regions and low hillsides of the zone’s mountains. The usage of these regions is usually rangeland- forest and includes parts of the karst regions of the basin. From morphological point of view, it has medium slope and soil texture is moderate with mineral materials and moderate depth. Zone with grate erosion exists both in karst and non-karst areas. These regions are usually steep and have rangeland and thin forest use with light soil texture and shallow. Karset regions are located in Sirvan, Ghalaje, Sarkesh, Deh Nooshak, Navakooh and Dalahou heights. Highly erosive zones conforms to rocky and steep regions with thin rangeland use, soil texture is light and very shallow (Fig.7B). Low and very low erosive zones occupied 38.75% , moderate erosive zone 29.86% and high and very highly erosive zones 31.37% of the Alvan basin surface (table. 8). Land use, morphology, geomorphological, rainfall and soil condition in each of these zones is the same as erosive zones of the previous map. Conclusion In SMLRK model unlike most common models, karst geomorphological conditions have been involved in its sub-parameters. In this research final map of the erosion results from this model has been provided in two ways with and without involvement of the infiltration parameters. In the final maps of the soil erosion obtained from two methods, there are five erosive zones. Providing soil final erosive map for the Alvand basin using infiltration parameters causes changes in the surface of the erosive zones and their special distribution. With involvement of the infiltration parameters in modeling soil erosion of the Alvand basin, surface of low and high erosive zones in the map with five factors compared to the soil erosion maps with four factor has decreased and surface of the very low, moderate and very high erosive zone has increased 2.04%, 7.96% and 5.98% respectively. In order to evaluate exactitude of the obtained maps their error matrix and similarity degree were calculated (Table 9). Accordingly, two maps and their classes were compared based on pixel and total sum of table diagonal is divided to total sum of the tables which expresses similarity degree of two maps. Similarity degree between two maps is 54.85% which reflects the main effect of infiltration parameter in amending result. Indeed, karst developed areas in east and north heights of the basin with involvement of infiltration parameter are located in highly erosive zone. Therefore, karst zoning results obtained from involvement of the infiltration parameter and consequently karst geomorphology have better performance and the results of this mode of model reflects more soil erosion in the area having karst geomorphology.
Geomorphology
sayyad asghari; delnya palizban; Hadi Emami; ehsan ghaleh
Abstract
Introduction Landslide is a term that encompasses a variety of amplitude motions and causes the movement of a mass of material in the slopes. And creep is classified. Natural slope instability is one of the geomorphological and geological phenomena that plays an effective role in deforming the ...
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Introduction Landslide is a term that encompasses a variety of amplitude motions and causes the movement of a mass of material in the slopes. And creep is classified. Natural slope instability is one of the geomorphological and geological phenomena that plays an effective role in deforming the earth's surface. Identifying areas with potential for landslides and their zoning is one of the key steps in managing environmental hazards and reducing the damage caused by this phenomenon, because this phenomenon causes financial and human costs, soil and land degradation and increased sediment production at the basin outlet. It becomes. Iran with its predominantly mountainous topography, high tectonic activity and seismicity, diverse geological and climatic conditions, has the most natural conditions to create a wide range of landslides. The purpose of this study is to zoning the risk of landslides on the Sarab-Nir road. In this research, two models of network analysis and fuzzy logic are examined and evaluated. It is hoped that eventually, by preparing a landslide risk zoning map, it will be of great help to planners and managers in order to reduce potential damages and find safer locations for development, construction and road construction. Methodology Sarab-Nir road is located between East Azarbaijan province and Ardabil province and is a communication route between these two provinces, whose geographical coordinates are 37 degrees and 94 minutes to 38 degrees and 03 minutes north latitude and 47 degrees and 53 minutes to 48 degrees and 01 minutes. It is east longitude. In this study, network analysis model was used to determine areas prone to fall and zoning. In order to better understand the causes of landslides and also to organize the research in the field, the study area was visited and 15 geographical points from different areas of the study area were recorded. The geographical location of the points prone to fall was also recorded with GPS. Then, according to the network analysis model, information layers were prepared in ArcGIS software. The information layers for landslide risk zoning are: fault, slope, slope direction, distance from road, and distance from waterway, land use, geology (lithology), precipitation, altitude and vegetation. The elevation file or digital model of the elevation of the area was prepared with an accuracy of 30 meters from the USGS site and the desired DEM is a digital file obtained from the ASTER sensor and according to this DEM, the information layer such as streams, slope and direction The slope was obtained. Results and Discussion Four maps have been developed to investigate landslide hazards, which are rainfall, slope, elevation and land use layers. After creating information layers in order to prepare the final landslide hazard map, fuzzy information layer maps were created. In this study, in order to determine the effect of different classes of criteria on landslide sensitivity zoning, the layers are based on the type of performance of each in the landslide event using fuzzy membership functions in the range of zero to 1 fuzzy. Were made. The results obtained from the information layers and finally the landslide hazard map show that altitudes of more than 2000 meters have the highest share of landslides, and altitudes of 1400 meters have been significant landslides due to the instability of the slopes against Climatic and environmental factors. Also, most of the landslides occurred at a distance of 3 to 6 km from the faults, which shows the importance of faults against landslides. About 40% of landslides occur in very high-risk classes. This indicates that the model has a high capability in predicting landslides. It is necessary to explain that most of the landslides occur in the area of Saein pass, which have very favourable conditions for the occurrence of range movements that start from 25 km of mirage and continue for a distance of 15 km of Nir. Conclusion Factors such as slope, precipitation and geology play a more important role in landslides than other factors. Slopes of 60 to 80% have the greatest impact on landslides, which are more pronounced at altitudes above 2000 meters. Therefore, altitudes above 2000 meters have the most landslides. Also, due to the direct relationship between altitude and climatic fluctuations in these altitudes, the amount of precipitation is higher and, of course, has a great impact on the occurrence of landslides. In these areas, vegetation is at a minimum and due to the cold region, the vegetation in these areas is very small, which prepares the conditions for landslides and due to the presence of sedimentary formations such as sandstone, Siltstone mudstone with tuff interbreeds in the area, the conditions for landslides have become more prone and because these formations lose their stability sooner and are strongly influenced by physicochemical factors, they are more prone to landslides than other formations. To be. According to the results, the low risk floor with the highest value, 405.44 square kilometers, occupies approximately 30.87 percent of the area, but the very high risk floor with 288.2 square kilometers and the high risk class with 23.23 square kilometers. , Occupy a total of 37.25% of the area of risk classes.
Urban Planning
Amer Nikpour; Morteza Rezazadeh; Fatemeh Allahgholitabar Nesheli
Abstract
Introduction One of the most important urban problems is the formation of a phenomenon called urban poverty. Urban poverty is a multidimensional phenomenon, and urban dwellers suffer from many disadvantages, including lack of access to employment opportunities, housing and infrastructure, lack of social ...
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Introduction One of the most important urban problems is the formation of a phenomenon called urban poverty. Urban poverty is a multidimensional phenomenon, and urban dwellers suffer from many disadvantages, including lack of access to employment opportunities, housing and infrastructure, lack of social security, and access to personal health, education, and security, urban poverty is not limited to these characteristics and refers to unstable conditions, which can lead to vulnerabilities and disability. Living in impoverished cities means an economy that is produced to survive. Urban poverty is the transmission of a huge economic shock that usually occurs through the labor market and job loss. Poverty scope should be defined as the spatial representation of poverty in urban areas. Today, in trying to achieve human development, measuring and determining urban poverty is an issue that is pursued in policy-making and human development management in many countries, and this requires the adoption of scientific methods, especially in the geographical determination of urban slums and it’s through the use of statistical methods and the definition of appropriate indexes to determine the different dimensions of urban poverty. Therefore, in this study, while trying to define urban poverty and its main dimensions, we try to obtain an accurate knowledge of the geographical features of urban poverty and its dimensions in the study area. Methodology The present type of research is applied and in compiling this research, documentary method, library study to collect existing views, theories and experiences and descriptive-analytical method to study the spatial pattern of poverty in Babol have been used. The data used from the statistical blocks of 1390 were obtained from the Statistics Center of Iran. GIS software has been used to extract and classify the data of this research. In this study, 25 indexes related to urban poverty have been used in two levels of neighborhoods and urban blocks. The indexes used in this study are examined in three economic, social and physical dimensions. In order to identify poverty zones, the desired indexes were first calculated at the level of statistical blocks. Then, all statistical blocks were examined according to the desired field through Hot Spot Analysis tool from Spatial Statistics Tools and based on it, spatial analysis of urban poverty indexes was performed on the scale of statistical blocks. Results and discussion Spatial analysis of urban poverty: The economic dimension of poverty The results of spatial analysis showed that the spatial distribution of the city did not have a specific order. The central part of the city, especially neighborhoods 6, 16 and the western part of the city (neighborhood 15) are in the most favorable conditions in terms of economic welfare. In contrast, the north-west and southeast of the city suffer from widespread poverty. The findings also show that more than 23% of the city's population is in relative poverty and 1.7% is in absolute poverty, with a population of 19,5880 in 19.4% of the city's area. In general, the population living in poor economic conditions and experiencing some form of poverty is slightly higher than those in relative or absolute welfare. The social dimension of poverty The findings show that more than 36 percent of the city's area is socially poor and relatively poor, accounting for about 29.9 percent of the city's population. Spatially, this amount of population often resides on the northeastern, southern and southwestern margins of Babol. Like the economic dimension of poverty, in the social dimension, the central districts of the city are in a better position than in other areas; In contrast, neighborhoods No. 22, 19, 18 and 5 (Map No. 3) are among the neighborhoods with high poverty rates. The physical dimension of poverty The results showed that the southern and northeastern margins of the city, such as economic and social dimensions, are in unfavorable conditions. In terms of spatial dominance, neighborhoods 19, 18 and 11 are in poor physical condition. In contrast, neighborhoods 6, 8, 16 and 13, which are located in the central part of the city, are in relatively good condition. On a city scale, more than 35 percent of the city's population lives in areas of the city that have relative or absolute physical poverty. This population lives in 45.4% of the city's area. The final pattern of urban poverty The final model of poverty to identify the main areas of poverty in the city of Babol is the result of spatial integration of 25 indexes in the three dimensions of economic, social and physical. The results showed that small areas of poverty can be seen in the northern and northwestern areas of the city, but the main areas of poverty can be seen in the northeastern, southeastern and western areas. Poverty in the city of Babol has a population of 47,140, or 35.2% of the total population. In terms of area, these areas cover more than 43% of the total area of the city. In contrast, most of the city's central areas, such as neighborhoods 6, 8, and 16, are in good economic, social, and physical condition. It should be noted that only 28.3% of the city's population and 21.34% of the city's area are in good condition, which indicates that most of the city's space is facing many problems in various economic, social and physical fields. Conclusion The complexity of urban systems and the relationships and interactions between them lead to the formation of various phenomena in urban and metropolitan areas. Spatial inequality is one of these urban phenomena, examples of which are urban poverty. This article identifies the spatial pattern of different dimensions of poverty in the city of Babol. The results of spatial analysis of urban poverty indexes in the city of Babol showed most of the city of Babol is facing many problems in various economic, social and physical fields.
Urban Planning
akbar asghari zamani; Hersh Mostafaei
Volume 23, Issue 69 , December 2019, , Pages 1-17
Abstract
AbstractCities as a living environment play a significant role in creating satisfaction, they indeed shape human's lifestyle and determine their life quality. Regarding the quality of man-made environments not only encourages them to cooperate, but also induces a sense of satisfaction among individuals. ...
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AbstractCities as a living environment play a significant role in creating satisfaction, they indeed shape human's lifestyle and determine their life quality. Regarding the quality of man-made environments not only encourages them to cooperate, but also induces a sense of satisfaction among individuals. Urban growth and rapid urban expansion have caused various crises in terms of urban life including environmental challenges and declining the quality of urban environs. Following increased urbanization in our country and rapid changing space for several reasons in terms of urban texture, the quality of urban environs has seriously declined. When it comes to environmental quality, the emphasis is still over construction and physical shape. The paper tends to measure and zone the physical environment quality of the middle texture of Tabriz city based on recent statistics and data. The research method is based on the objectives applying descriptive- analytical in terms of its methodology. During first steps of sample collection, we initially measure the quality of urban environment through field studies preparing and filling out some questionnaires. And in the second step, we apply softwares including: EXCEL, CHOICE, EXPERT to measure the data and finally apply ARC GIS to display the research findings. However the yields of central tissue zoning of Tabriz reflect that 5.77% of regional area is in an unfavorable condition, 19.38% favorable condition and 74.83% is in moderate utility status.
Geotourism
mohsen tavakoli
Volume 22, Issue 66 , January 2019, , Pages 117-139
Abstract
Zoning is a technique for minimizing damages of protected area, by which we can delay damage time and cater for opportunities to make necessary decisions. This research aimed at evaluating the effectiveness of the Fuzzy-AHP model for zoning national natural monuments in Dehloran in Ilam province. To ...
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Zoning is a technique for minimizing damages of protected area, by which we can delay damage time and cater for opportunities to make necessary decisions. This research aimed at evaluating the effectiveness of the Fuzzy-AHP model for zoning national natural monuments in Dehloran in Ilam province. To do so, all factors including slope, aspect, topographic map, soil texture, vegetation type, sediment condition, erosion type, land use, geology map, and wildlife map which were taken into account. In this study, Fuzzy-AHP method and GIS have been used for ecological assessment. Analysis and evaluation of modeling has been done based on raster layers and with the amount of Gama by 0.9 for the final layer Zonation map showing 5 zones including core zone with the area of 192.3 hectares (13 %), buffer zone with the area of 829.8 hectares (56%), expanded recreation zone with the area of 371.8 hectares (25%), intensive recreation zone with the area of 3.9 hectares (0.3%) and multilateral uses zone with the area of 86 hectares (5.7%). Buffer zone has the highest area of the region and plays as a protection belt around core zone and will reduce all kinds of damages.
Urban Planning
Akbar Asghari Zamani; Hersh Mostafaei
Volume 22, Issue 64 , September 2018, , Pages 1-18
Abstract
Cities as a living environment play a significant role in creating satisfaction, they indeed shape human's lifestyle and determine their life quality. Regarding the quality of man-made environments not only encourages them to cooperate, but also induces a sense of satisfaction among individuals. Urban ...
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Cities as a living environment play a significant role in creating satisfaction, they indeed shape human's lifestyle and determine their life quality. Regarding the quality of man-made environments not only encourages them to cooperate, but also induces a sense of satisfaction among individuals. Urban growth and rapid urban expansion have caused various crises in terms of urban life including environmental challenges and declining the quality of urban environs. Following increased urbanization in our country and rapid changing space for several reasons in terms of urban texture, the quality of urban environs has seriously declined. When it comes to environmental quality, the emphasis is still over construction and physical shape. The paper tends to measure and zone the physical environment quality of the middle texture of Tabriz city based on recent statistics and data. The research method is based on the objectives applying descriptive- analytical in terms of its methodology. During first steps of sample collection, we initially measure the quality of urban environment through field studies preparing and filling out some questionnaires. And in the second step, we apply softwares including: EXCEL, CHOICE, EXPERT to measure the data and finally apply ARC GIS to display the research findings. However the yields of central tissue zoning of Tabriz reflect that 5.77% of regional area is in an unfavorable condition, 19.38% favorable condition and 74.83% is in moderate utility status.
Geotourism
Seyed Hadi Tayebnia; Sirous Ghanbari
Abstract
One of the strategies that in most developing countries for economic and cultural development are considered, the development of tourism in deprived areas with potential for tourism development.Due to this, planning is essential in various aspects of tourismand identify suitable areas for tourism in ...
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One of the strategies that in most developing countries for economic and cultural development are considered, the development of tourism in deprived areas with potential for tourism development.Due to this, planning is essential in various aspects of tourismand identify suitable areas for tourism in terms of climatic comfort is important in tourism planning. The aim of this study was estimate the climatic comfort of urban and rural areas of Ilam and Kermanshah and planning for the development of tourism.For this, first survey the tourist attractions of these provinces in the fields of cultural-historical and the natural are actionand then Baker index was used to estimate the climatic comfort.For this purpose, the data required of 8 stations surveyed, in the 20-year period (2013-1993) was extracted and analysis necessary.Finally, for zoning bioclimatic conditions, the data transferred to the GIS software and by using Kriging interpolation, the maps were drawn.The results showed that in 3 monthsonly two stations of Sarpolzohab and Dehloran, in April: stations of Dehloran, Islamabad Gharb, Ilam and Sarpolezahab, In May: the stations of Rawansar, Kermanshah, Kangavar, Islamabad Gharb, Ilam and Sarpolezahab, In June: the stations of Rawansar, Kermanshah, Kangavar and Islamabad Gharb, in July; the stations of Kangavar and Kermanshah, in September and October; Rawansar, Kermanshah, Ilam,Kangavar and Islamabad Gharb and, in November, Dehloran the stations, Kangavar, Islamabadgharb, Ilam and Sarpolezahab, and in December: the stations of Dehloran, IslamabadGharb and Sarpolezahab, Have favorable conditions for urban and rural tourism.
Geomorphology
Ebrahim Asgari Kalajahi; Fatemeh Namakchi; Abdolreza Vaezi Hir
Volume 20, Issue 56 , August 2016, , Pages 19-38
Abstract
Landslide is one of the natural hazards which affects mountainous areas and destroys residential areas, farms and basic facilities each year. In addition to the damages caused by landslides on roads in towns and villages, the natural environments are also affected by soil erosion. The study area with ...
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Landslide is one of the natural hazards which affects mountainous areas and destroys residential areas, farms and basic facilities each year. In addition to the damages caused by landslides on roads in towns and villages, the natural environments are also affected by soil erosion. The study area with an area of about 80,000ha is located in the west of Khoy city, northwest of Iran. Some landslides have occurred on the southern slopes which verge on the roads and frequently damage the main road, Iran-Turkey railway and several villages, such as Gougerd and upper Kalt village. Due to the proximity of the study area to the main roads and residential areas and the existence of several historical mass slides, evaluation of landslide hazard and preparing a risk map is necessary. In this research, the potential landslide zoning map was developed by evaluation of each parameter influencing landslide including lithology, slope geometry, geological structures, relative elevation, land use and coverage and ground-water. Final zoning map was produced through overlaying of the maps developed by scoring of the mentioned parameters. The study area was divided in to 5 zones from potential landslide view of point, including safe, low, medium, risk and very high risk zones. About 23 and 5.6 percent of the total area are subjected to high risk and very high risk landslide hazards, respectively.
Geomorphology
Esmail Ali Akbari; Nafiseh sadat Mirayee
Volume 19, Issue 54 , February 2016, , Pages 211-233
Abstract
There is a close link between the urban fabric, seismicity and seismic pathology. Urban fabric has been affected, due not only to the physical characteristics, but also through non-physical components (functional), and effects on it. This paper attempts to identify zones and levels of seismic vulnerability ...
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There is a close link between the urban fabric, seismicity and seismic pathology. Urban fabric has been affected, due not only to the physical characteristics, but also through non-physical components (functional), and effects on it. This paper attempts to identify zones and levels of seismic vulnerability zones in urban fabric of ValiasrTown, Tabriz, using descriptive data and documents method. Eight indicators (distance to fault, the quality of buildings, building density, population density, building height-to-width ratio, type of land use, level of traffic service, distance from medical centers) which have been analyzes through irreversible analysis (IHWP). Results show that 54% of the town has been located in the zone of seismic vulnerability. High building density, deficiency of green and open space, high amount of building height-to-width ratio and commercial land uses are the main characteristics of urban fabric in the vulnerable zone. Model of urban fabric distribution and vulnerable zones matches with the location of main arteries (Mokhaberat, Valiasr, Shariati, Ohadi, Moalem, Foroghi, Takhti, Parvin Etesami, Aref, Zand and Javanmehr) especially sub-passages (8-10 meters) leading to these arteries and commercial land uses in the central part (Bozorg and Bazar squares). Spatial model of seismic zone has the east-west direction and center-round. This model has shaped the direction and intensity of changes in vulnerability and has created macro pattern of pathology and seismic zoning of town in two parts: The eastern half is a zone with low risk factors and vulnerability that has the most sustainable urban fabric of town. However, western half represents high and very high seismic instability and vulnerability. The central part of the town is the spatial center of seismic intensity of these areas.
Mohsen Aghayariehir; Migat Habibyan; Mehdi Ostadiejafari; Hamed Aminishirazi
Volume 19, Issue 53 , September 2015, , Pages 25-47
Abstract
Nowadays, while there are a number of definitions have been introduced for the concept of zoning, there is no general consensus due to different disciplines adopt this term. In the field of planning, the zoning is a conscious and contemplative process to detect homogenous areas by an authority to allocate ...
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Nowadays, while there are a number of definitions have been introduced for the concept of zoning, there is no general consensus due to different disciplines adopt this term. In the field of planning, the zoning is a conscious and contemplative process to detect homogenous areas by an authority to allocate certain kinds of resources to them. Therefore, the process of zoning is an essential task to allocate and monitor the development projects for different type of territories. In this article, zoning is took into consideration from the rural transportation point of view to find what would be the homogeneous zones of rural transportation for Iran? To answer this question, an in-depth spatial analysis through the Geographical Information System (GIS) is performed with regards to a descriptive-analytical method. Based on four main indices which are fully explored in the paper (i.e., access to the link road, distance to urban hierarchical levels, rural density and land use), five homogenous distinct zones for Iran is emerged. The resulted zones which are presented on a country map would be useful for future rural transportation planning in Iran.
Mosa Abedini; Hasan Setayeshi Nesaz
Volume 18, Issue 49 , November 2014, , Pages 139-165
Abstract
Zoning of Landslide hazards is one of the ways that used to determine critical areas. Landslide zoning maps can also be utilized in environmental planning to reduce damage. In the present article, the AHP has been applied to the Gollojeh basin located in Zanjan province. The most important factors in ...
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Zoning of Landslide hazards is one of the ways that used to determine critical areas. Landslide zoning maps can also be utilized in environmental planning to reduce damage. In the present article, the AHP has been applied to the Gollojeh basin located in Zanjan province. The most important factors in landslide occurrence in this study basin were identified as: geology formation, slope%, land use, height and distance from river, slope aspect, rainfall and faults. After layering and assigning weights to them the final map was produced in Arc GIS .The final results from this study show that the weight of the nine criteria respectively: are 0.4092, 0.2485, 0.1439, 0.0786, 0.0479, 0.0309, 0.023, 0.0181 with geology and faults having the greatest and last weights. Finally the landslide map denoting in four domains at very high risk, high risk, medium risk and low risk was prepaerd.
Alireza Ildoromi; Habibeh Rouzbahani
Volume 18, Issue 48 , June 2014, , Pages 37-60
Abstract
Mass movement is one of the natural hazards with regard to frequency of which and its strength there are two consequences direct (blocking the rads and the direction of waterways, burring the residential areas and service installations) and indirect consequences (environmental unpleasant effects, making ...
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Mass movement is one of the natural hazards with regard to frequency of which and its strength there are two consequences direct (blocking the rads and the direction of waterways, burring the residential areas and service installations) and indirect consequences (environmental unpleasant effects, making the soil useless, increasing the sedimentaion and decreasing the capacity of dams). The present research was carried out on Kalan dam watershed in Malayer to distinguish the effective factors in the mass movement and recognize prepared areas for mass movement and appointing the weight which states the standard role of these factors in mass movement occurrence. Factors such as lithology, space of faullts, slope, altitudinal surfaces and rainfall are chosen as the most effective factors in the mass movement occurrence. By using geological maps, topography and aerial photos in the from of geographical information system (GIS) and ArcGIS software, we used LNRF model in the maps in the numerical and stratum from for analyzing the obtained data through studying the effective variances as the research conceptive tools. We finally prepared the zoning map of the mass movement danger by combining various strata (layers) through weighting to the effective factors and their algebraic conclusion and the results show that the LNRF model is a good competence to study the data and zoning of mass movement in Kalan dam basin.
