National Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Investigatingthe role of Geomorphological landscapes and Geotourist potentials of ILAM province
Using spatial data forthe sustainable developmentInvestigatingthe role of Geomorphological landscapes and Geotourist potentials of ILAM province
Using spatial data forthe sustainable development1251216310.22131/sepehr.2014.12163FARezaMansouri0000-0001-7396-5557EzzatollahGhanavatiMohammad RezaServatiJournal Article20140223The vast country of Iran has diverse geographical conditions with 11 out of 13 known climates in theworld. This hasresulted in many environmental,ecotourist, recreational, and economic capabilities. The tourist infrastructure of any region is the nature of that area and as one of its parts,geotourism has in recent years, experienced a dramatic and significant upsurge in the world and has had a great influence on regional development. Geomorphological and geological visit is one of the main aspects of Geotourism. Ilam province with a surface area of 19,086 KM2ranges from 31 deg. 58 min. to 34 deg. 15 min. North Latitude from the Equator and 45 deg. 24 min. to 48 deg. 10 min. East Longitude from the Greenwich. The province is considered as one of the most prone areas for development of geotourism with its geotourist, geomorphological and geological attractions such as caves, mountains, rivers, waterfalls and springs. In this regard, attention to the natural capacities, conservation, presentation and utilization of geotourism attractions can play an important role in the sustainable development of the province,while it can be effective in solving problems such as unemployment and creation of employment in the province.This research studies the characteristics of Ilam province in a library, field, descriptive - analytical method and by using maps and satellite images,The vast country of Iran has diverse geographical conditions with 11 out of 13 known climates in theworld. This hasresulted in many environmental,ecotourist, recreational, and economic capabilities. The tourist infrastructure of any region is the nature of that area and as one of its parts,geotourism has in recent years, experienced a dramatic and significant upsurge in the world and has had a great influence on regional development. Geomorphological and geological visit is one of the main aspects of Geotourism. Ilam province with a surface area of 19,086 KM2ranges from 31 deg. 58 min. to 34 deg. 15 min. North Latitude from the Equator and 45 deg. 24 min. to 48 deg. 10 min. East Longitude from the Greenwich. The province is considered as one of the most prone areas for development of geotourism with its geotourist, geomorphological and geological attractions such as caves, mountains, rivers, waterfalls and springs. In this regard, attention to the natural capacities, conservation, presentation and utilization of geotourism attractions can play an important role in the sustainable development of the province,while it can be effective in solving problems such as unemployment and creation of employment in the province.This research studies the characteristics of Ilam province in a library, field, descriptive - analytical method and by using maps and satellite images,https://www.sepehr.org/article_12163_1b5e669dd84003f7a70da7724e5cba93.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Analysis and Study of various APIs to display spatial information
in Mobile EquipmentAnalysis and Study of various APIs to display spatial information
in Mobile Equipment23131216410.22131/sepehr.2014.12164FARezaAghataherSoroushOjGHMohammadFallah ZazulyMohsenJafariJournal Article20140223Today the desire to create smart and electronic companions in the daily life of humans has been fulfilled with the production of mobile processing equipment. On the other hand, the integration of existing capabilities of these equipment with the features of the spatial information systems, has become the basis for the emergence of a new technology called spatial information system. Simply put, displaying the spatial information can be considered as the most vital part of a mobile spatial information system. On the other hand, allocating a major part of the commercial market of mobile equipment to devices running with Android operating system encouraged the authors to explore different visual techniques in such equipment. The analysis can be considered as one of the most important studies required to develop a sample of a mobile spatial information system. But unfortunately, despite the great importance of this issue, no comprehensive and technical studies have yet been conducted to evaluate the performance of different methods of displaying spatial information in the context of this operating system. The methods used in this study include the use of Google Map API, ArcGIS Runtime SDK, OSMDroid, MapsFroge and Nutiteq libraries. To compare these methods and express the use cases of each of them, services were developed using each one of these methods and the Java programming language. Finally, after analyzing the results of various experimental experiments, the quality of performance, capabilities, strengths and weaknesses of each method were clearly expressed. In general, the results of this study can be considered as an appropriate starting point for selecting an appropriate library for displaying spatial information in any instance of a mobile spatial information system.Today the desire to create smart and electronic companions in the daily life of humans has been fulfilled with the production of mobile processing equipment. On the other hand, the integration of existing capabilities of these equipment with the features of the spatial information systems, has become the basis for the emergence of a new technology called spatial information system. Simply put, displaying the spatial information can be considered as the most vital part of a mobile spatial information system. On the other hand, allocating a major part of the commercial market of mobile equipment to devices running with Android operating system encouraged the authors to explore different visual techniques in such equipment. The analysis can be considered as one of the most important studies required to develop a sample of a mobile spatial information system. But unfortunately, despite the great importance of this issue, no comprehensive and technical studies have yet been conducted to evaluate the performance of different methods of displaying spatial information in the context of this operating system. The methods used in this study include the use of Google Map API, ArcGIS Runtime SDK, OSMDroid, MapsFroge and Nutiteq libraries. To compare these methods and express the use cases of each of them, services were developed using each one of these methods and the Java programming language. Finally, after analyzing the results of various experimental experiments, the quality of performance, capabilities, strengths and weaknesses of each method were clearly expressed. In general, the results of this study can be considered as an appropriate starting point for selecting an appropriate library for displaying spatial information in any instance of a mobile spatial information system.https://www.sepehr.org/article_12164_d76fd0a4809a5be8a22e43e33bdc649e.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823EmpowermentStrategies for suburbanites using QSPM Technique.
(Case study: Town of Shohada in Songhor)EmpowermentStrategies for suburbanites using QSPM Technique.
(Case study: Town of Shohada in Songhor)40251216510.22131/sepehr.2014.12165FAAliShamaiJavadMalekanParisaSadeghiJournal Article20131226Social, cultural, and economic poverty is the most important factorbehind the emergence of suburbanization in cities.Although the suburbanites live in the realm of socioeconomic life of cities, they are not accepted as official citizens in the community. The main objective of this research is to provide strategies for empowerment of suburbanites inSonghor's town of shohada(of Kermanshah border province). Identifying the capabilities and limitations of suburbanite is very effective in achieving their empowerment strategies. The method of the research is a descriptive – analytical and survey method using Delphi method. The Method of data collecting is library method and interviewing experts and officials of Songor's municipality.QSPM and SWOT techniques have been used to analyze data. The results indicate that Suburban area in terms of the current situation is in a moderate position on the basis of the internal and external evaluation matrix,and in other words, the suburban region has not been able to exploit the strengths and has not taken advantage of the opportunities available and has been unable to escape the factors which cause its weakness and threat. Finally, after analyses done and providing a quantitative strategic planning and prioritization of the strategies,WO5's review strategyi.e holding of a justification workshop for urban managers to implement the empowerment and organization with a final score of 2.55,has become a top priority as the most important strategy. SO5's aggressive strategy i.e the establishment of a special committee for empowerment and organization holding special committee for empowerment and organizing is also in the second priority. Social, cultural, and economic poverty is the most important factorbehind the emergence of suburbanization in cities.Although the suburbanites live in the realm of socioeconomic life of cities, they are not accepted as official citizens in the community. The main objective of this research is to provide strategies for empowerment of suburbanites inSonghor's town of shohada(of Kermanshah border province). Identifying the capabilities and limitations of suburbanite is very effective in achieving their empowerment strategies. The method of the research is a descriptive – analytical and survey method using Delphi method. The Method of data collecting is library method and interviewing experts and officials of Songor's municipality.QSPM and SWOT techniques have been used to analyze data. The results indicate that Suburban area in terms of the current situation is in a moderate position on the basis of the internal and external evaluation matrix,and in other words, the suburban region has not been able to exploit the strengths and has not taken advantage of the opportunities available and has been unable to escape the factors which cause its weakness and threat. Finally, after analyses done and providing a quantitative strategic planning and prioritization of the strategies,WO5's review strategyi.e holding of a justification workshop for urban managers to implement the empowerment and organization with a final score of 2.55,has become a top priority as the most important strategy. SO5's aggressive strategy i.e the establishment of a special committee for empowerment and organization holding special committee for empowerment and organizing is also in the second priority. https://www.sepehr.org/article_12165_2b1a9e41c7cb15669337c1a583af31f8.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Optimal Location of Traffic Monitoring Sensors using Fuzzy AHP and TOPSIS MethodOptimal Location of Traffic Monitoring Sensors using Fuzzy AHP and TOPSIS Method50411216610.22131/sepehr.2014.12166FAAbolghasemSadeghi NiarakiMahmoud RezaDelavarSomaiiehRokhsari TalemiJournal Article20140529Nowadays Smart traffic sensor network is considered as one of the newest ways of data acquisition in traffic management which with the possibility of intelligent monitoring of urban roads, leads to road accident reduction. Despite the importance of installing and deployment of such equipment, the most important concern is to determine the optimal location for their installations. Therefore, what we are aiming at in this research, is to provide a suitable method to optimize the location of traffic sensors. The proposed method is a combination of FUZZY AHP and TOPSIS method. It should be noted that, in order to test the proposed method in this study, part of the urban road network in North America was selected as sample data. In the next step, according to traffic experts, the criteria for determining the optimal location were selected which included average annual traffic, crash severity, average slope and the distance of each connection in the urban network to places requiring traffic control. The FUZZY hierarchy method was used to determine the significance of input criteria. This method using FUZZY numbers in a pairwise comparison of criteria to calculate their weights, leads to an increase in the accuracy of computations. In the next stage, the weights calculated using TOPSIS method were used to rank the urban connections in the study area.
Eventually, after applying the above analysis using the score obtained from TOPSIS method, urban connections in the study area were classified in 3 different categories. Urban connections in the 1<sup>st</sup> category were selected as the ones with the highest priority for the installation of sensors. Therefore, these connections will be the top priority for the installation of traffic sensors.Nowadays Smart traffic sensor network is considered as one of the newest ways of data acquisition in traffic management which with the possibility of intelligent monitoring of urban roads, leads to road accident reduction. Despite the importance of installing and deployment of such equipment, the most important concern is to determine the optimal location for their installations. Therefore, what we are aiming at in this research, is to provide a suitable method to optimize the location of traffic sensors. The proposed method is a combination of FUZZY AHP and TOPSIS method. It should be noted that, in order to test the proposed method in this study, part of the urban road network in North America was selected as sample data. In the next step, according to traffic experts, the criteria for determining the optimal location were selected which included average annual traffic, crash severity, average slope and the distance of each connection in the urban network to places requiring traffic control. The FUZZY hierarchy method was used to determine the significance of input criteria. This method using FUZZY numbers in a pairwise comparison of criteria to calculate their weights, leads to an increase in the accuracy of computations. In the next stage, the weights calculated using TOPSIS method were used to rank the urban connections in the study area.
Eventually, after applying the above analysis using the score obtained from TOPSIS method, urban connections in the study area were classified in 3 different categories. Urban connections in the 1<sup>st</sup> category were selected as the ones with the highest priority for the installation of sensors. Therefore, these connections will be the top priority for the installation of traffic sensors.https://www.sepehr.org/article_12166_58be687cd9a13d7776b1918f57243b35.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Assessing the Classification accuracy of LISS-III Sensor Image of IRS-P6 Satellite using Google Earth'sDatabase to provide land coverage/ Land use maps
(Case study: Taleghan Watershed)Assessing the Classification accuracy of LISS-III Sensor Image of IRS-P6 Satellite using Google Earth'sDatabase to provide land coverage/ Land use maps
(Case study: Taleghan Watershed)59511216710.22131/sepehr.2014.12167FAVahedKiyaniAfshinAlizade ShaabaniAliakbarNazari SamaniJournal Article20140123Nowadays, remote sensing images are able to provide the latest information for studying land coverage and land uses, and the value and usability of produced maps depend on their accuracy. Hence, the purpose of this study was to evaluate the classification accuracy of LISS-III sensor's image of IRS-P6 satellite using the Google Earth's database in order to provide a map of land coverage and land uses. Therefore, the QUICKBIRD satellite imagery provided by Google Earth's software was used to determine both educational samples and to evaluate the classification. The studied area is Taleghan city in the Alborz province which is located in the watershed of Taleghan. In this research before determining the educational samples to verify the accuracy of the Google Earth's image, linear digital layers (roads and channels) with terrestrial coordinates were used which obtained an RMSE of 0.77.
In the next step, after determining the educational samples, the mentioned satellite image was classified into 5 categories of garden, agriculture. Pasture, lake and no coverage based on a supervised classification and with maximum probability algorithm using software ENVI 4/2 which obtained a classification KAPPA coefficient of 0.85 and an overall accuracy of 91/4.
The results of this study indicated that Google Earth's software images have a high spatial accuracy in order to evaluate the classification accuracy in some regions and also the use of ecological features such as the slope of the area, hydrologic network and… increase this accuracy. Finally, it is suggested that Google Earth's satellite imagery to be used to evaluate the accuracy of the satellite image classification and even visual interpretation of land coverage and land use.Nowadays, remote sensing images are able to provide the latest information for studying land coverage and land uses, and the value and usability of produced maps depend on their accuracy. Hence, the purpose of this study was to evaluate the classification accuracy of LISS-III sensor's image of IRS-P6 satellite using the Google Earth's database in order to provide a map of land coverage and land uses. Therefore, the QUICKBIRD satellite imagery provided by Google Earth's software was used to determine both educational samples and to evaluate the classification. The studied area is Taleghan city in the Alborz province which is located in the watershed of Taleghan. In this research before determining the educational samples to verify the accuracy of the Google Earth's image, linear digital layers (roads and channels) with terrestrial coordinates were used which obtained an RMSE of 0.77.
In the next step, after determining the educational samples, the mentioned satellite image was classified into 5 categories of garden, agriculture. Pasture, lake and no coverage based on a supervised classification and with maximum probability algorithm using software ENVI 4/2 which obtained a classification KAPPA coefficient of 0.85 and an overall accuracy of 91/4.
The results of this study indicated that Google Earth's software images have a high spatial accuracy in order to evaluate the classification accuracy in some regions and also the use of ecological features such as the slope of the area, hydrologic network and… increase this accuracy. Finally, it is suggested that Google Earth's satellite imagery to be used to evaluate the accuracy of the satellite image classification and even visual interpretation of land coverage and land use.https://www.sepehr.org/article_12167_8c84974a7c5b56145b54496b1695cc09.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Investigating the Sustainability of Environmental
Development using Statistical Tests
In the cities of Khuzestan border provinceInvestigating the Sustainability of Environmental
Development using Statistical Tests
In the cities of Khuzestan border province72611216810.22131/sepehr.2014.12168FASaeidMalekiRezaAhmadiSajadMonfaredMohammadMatougiJournal Article20140715Many developing countries are over-concentrated in a few urban areas. Such a situation leads to many problems. In this countries, the quality of people's is experiencing huge regional inequalities which are increasing rapidly in many cases. Environmental problems are one of the most <strong>fundamenta</strong>l issues in modern cities and are the result of conflict and confrontation with the natural environment. The result of this process will be the imbalance and incompatibility between man and nature and the collapse of the ecosystem relationship. The purpose of this research is to identify the variables of sustainable environmental development and assessment of sustainability in the cities of Khuzestan province. This is an applied and descriptive- analytical method research. The results of the research show that the cities of Izeh, Dezful, Andimeshk,Lali and MasjedSoleiman are at a higher level than other cities in terms of environmental development in khuzestan province. Also, the results of statistical tests indicate the superiority of the North of province to its south in terms of environmental development. However, there is no sensible difference between the east and west of the province despite the relative superiority of the east of the province to the west. The results of the Pearson correlation coefficient show that there is no meaningfulcorrelation between environmental development and population size of the cities and their Urbanization rate. This means that, there is no meaningful relationship between population size and urbanization rate with environmental development.Many developing countries are over-concentrated in a few urban areas. Such a situation leads to many problems. In this countries, the quality of people's is experiencing huge regional inequalities which are increasing rapidly in many cases. Environmental problems are one of the most <strong>fundamenta</strong>l issues in modern cities and are the result of conflict and confrontation with the natural environment. The result of this process will be the imbalance and incompatibility between man and nature and the collapse of the ecosystem relationship. The purpose of this research is to identify the variables of sustainable environmental development and assessment of sustainability in the cities of Khuzestan province. This is an applied and descriptive- analytical method research. The results of the research show that the cities of Izeh, Dezful, Andimeshk,Lali and MasjedSoleiman are at a higher level than other cities in terms of environmental development in khuzestan province. Also, the results of statistical tests indicate the superiority of the North of province to its south in terms of environmental development. However, there is no sensible difference between the east and west of the province despite the relative superiority of the east of the province to the west. The results of the Pearson correlation coefficient show that there is no meaningfulcorrelation between environmental development and population size of the cities and their Urbanization rate. This means that, there is no meaningful relationship between population size and urbanization rate with environmental development.https://www.sepehr.org/article_12168_27dbb28ea03fd64ae84f717f6dfac59c.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Achieving Sustainable Tourism Development Using SWOT Technique
(Case study: The Village Of ABYANEH)Achieving Sustainable Tourism Development Using SWOT Technique
(Case study: The Village Of ABYANEH)81731216910.22131/sepehr.2014.12169FABahmanKaregarJournal Article20140108Rural tourism is one of the tourism types that attracts more enthusiasts every day andIt is expected that the rural areas to become one of the most important tourist destinations in the future, an issue that many countries have managed to improve their social and economic conditions.
Therefore, by using SWOT analysis (matrix) in this study, effective indices in the development of sustainable tourism based on field observations, opinions of experts involved in rural development and tourism have been studied and evaluated.
The results show that among the studied indices, the existence of unique tourism attraction in terms of housing and architecture in the target village is considered as the most important point of strength, the index of shortage and inappropriateness of residences and residential places for tourists as the most important weakness, and the index of environmental destruction as a threat to the sustainable tourism development of the village studied.Rural tourism is one of the tourism types that attracts more enthusiasts every day andIt is expected that the rural areas to become one of the most important tourist destinations in the future, an issue that many countries have managed to improve their social and economic conditions.
Therefore, by using SWOT analysis (matrix) in this study, effective indices in the development of sustainable tourism based on field observations, opinions of experts involved in rural development and tourism have been studied and evaluated.
The results show that among the studied indices, the existence of unique tourism attraction in terms of housing and architecture in the target village is considered as the most important point of strength, the index of shortage and inappropriateness of residences and residential places for tourists as the most important weakness, and the index of environmental destruction as a threat to the sustainable tourism development of the village studied.https://www.sepehr.org/article_12169_0b273b9a5033296646175710f43c6780.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823Spatial- Temporal Zoning of Iran's Seasonal and Annual Heating and Cooling RequirementsSpatial- Temporal Zoning of Iran's Seasonal and Annual Heating and Cooling Requirements90831217010.22131/sepehr.2014.12170FASeyyed AbolfazlMasudianRezaEbrahimiMonirehMohammadiJournal Article20140524One of the major factors that affect Iran’s climate, is its location in different geographical latitudes and variety of uneven lands on one hand, and entering of diverse synoptic systems during the year on the other hand. One of the main parameters that determinesthe climate of each region is temperature, especially degree-day (DD).
DD is the difference of the threshold temperature relative to the average daily temperature, and the temperature thresholds are also selected according to the objectives of the research. In this study, the sum of the average numbers of the country's annual and seasonal heating and cooling degree-day was calculated through the temperature thresholds of 25.11 and 25.14 respectively.The daily temperature data was extracted from the Asfazary database. The databases include the daily average temperature in 41 years from 1961 to 2002 on the 15x15 km. cells throughout the country. Thus, the average daily temperature in Asfazary database is an array of 15992x7187 dimensions in which the rows represent the time (day) and the columns represent the location (cells). The results of the research indicate that the highest cooling degree-day (CDD) is from the 11 degrees temperature threshold in the summer and is about 600-750 related to the coasts of Oman sea and the plain of Khuzistan, and the lowest is from the 25 degrees temperature threshold for the entire Iran in winter corresponding to a zero CDD. Regarding the amount of heating required, the highest is from the temperature threshold of 14 in the winter which is related to the Northwestern area and the heights with a CDD of 600-750 and the lowest is in the summer related to the whole country with a temperature threshold of 14 degrees corresponding to a zero CDD.One of the major factors that affect Iran’s climate, is its location in different geographical latitudes and variety of uneven lands on one hand, and entering of diverse synoptic systems during the year on the other hand. One of the main parameters that determinesthe climate of each region is temperature, especially degree-day (DD).
DD is the difference of the threshold temperature relative to the average daily temperature, and the temperature thresholds are also selected according to the objectives of the research. In this study, the sum of the average numbers of the country's annual and seasonal heating and cooling degree-day was calculated through the temperature thresholds of 25.11 and 25.14 respectively.The daily temperature data was extracted from the Asfazary database. The databases include the daily average temperature in 41 years from 1961 to 2002 on the 15x15 km. cells throughout the country. Thus, the average daily temperature in Asfazary database is an array of 15992x7187 dimensions in which the rows represent the time (day) and the columns represent the location (cells). The results of the research indicate that the highest cooling degree-day (CDD) is from the 11 degrees temperature threshold in the summer and is about 600-750 related to the coasts of Oman sea and the plain of Khuzistan, and the lowest is from the 25 degrees temperature threshold for the entire Iran in winter corresponding to a zero CDD. Regarding the amount of heating required, the highest is from the temperature threshold of 14 in the winter which is related to the Northwestern area and the heights with a CDD of 600-750 and the lowest is in the summer related to the whole country with a temperature threshold of 14 degrees corresponding to a zero CDD.https://www.sepehr.org/article_12170_b8e32c77dec45bcb3429af70c8fd7a8b.pdfNational Geographical OrganizationScientific- Research Quarterly of Geographical Data (SEPEHR)2588-3860239020140823The Feasibility Study of West Azerbaijan province’s Underground water resources for Trout breeding using GIS
(Case Study: The city of SARDASHT)The Feasibility Study of West Azerbaijan province’s Underground water resources for Trout breeding using GIS
(Case Study: The city of SARDASHT)101911217110.22131/sepehr.2014.12171FARozinaHanifiJournal Article20140428Increasing the use of fishery resources and increasing global demand for food has created the need for a new look at the nature and the potential of the aquaculture sector andthis question is raised that how far aquaculture can increase protein production and human food security in the long run. The present study is an attempt to provide a part of the information requirements regarding the potential of aquaculture and the estimation of ecological and socioeconomic power of SARDASHT city in west Azerbaijan province for breeding cold water fish and mainly rainbow trout. This study has been conducted with the aim of locating and prioritizing SARDASHT’s underground water resources in West Azerbaijan province for the construction of rainbow trout breeding pools using geographic information system (GIS). For this purpose, after reviewing the sources and previous studies done in this field, effective measures in locating trout breeding pools were classified as: (1) ecologic- water (water’s rate of flow, type of water source, water temperature, PH), Shape of the land (slope, altitude), land use, distance from accidental areas (distance from flood areas, distance from earthquake areas); (2) economic - market proximity, profitability, and access to labor force; (3) social- employment, type of Exploitation ownership, population density; and (4) Infrastructure - proximity to the road, proximity to electricity, or proximity to telephone lines, and the like. Finally, it has been carried out using collected data and providing information layers in the GIS environment. The results revealed that out of a total of 208 sources of water being exploited, 141 sources of water had the ability for breeding trout.Increasing the use of fishery resources and increasing global demand for food has created the need for a new look at the nature and the potential of the aquaculture sector andthis question is raised that how far aquaculture can increase protein production and human food security in the long run. The present study is an attempt to provide a part of the information requirements regarding the potential of aquaculture and the estimation of ecological and socioeconomic power of SARDASHT city in west Azerbaijan province for breeding cold water fish and mainly rainbow trout. This study has been conducted with the aim of locating and prioritizing SARDASHT’s underground water resources in West Azerbaijan province for the construction of rainbow trout breeding pools using geographic information system (GIS). For this purpose, after reviewing the sources and previous studies done in this field, effective measures in locating trout breeding pools were classified as: (1) ecologic- water (water’s rate of flow, type of water source, water temperature, PH), Shape of the land (slope, altitude), land use, distance from accidental areas (distance from flood areas, distance from earthquake areas); (2) economic - market proximity, profitability, and access to labor force; (3) social- employment, type of Exploitation ownership, population density; and (4) Infrastructure - proximity to the road, proximity to electricity, or proximity to telephone lines, and the like. Finally, it has been carried out using collected data and providing information layers in the GIS environment. The results revealed that out of a total of 208 sources of water being exploited, 141 sources of water had the ability for breeding trout.https://www.sepehr.org/article_12171_ec4de54f2f3afa14175e5eabfc16ce1f.pdf