Showing 46 results for Gis
Dr Mostafa Mirabadi, Mr Hosein Nazari, Dr Sadegh Besharatifar,
Volume 23, Issue 71 (12-2023)
Abstract
One of the key measures in the passive defense debate Critical facilities and facilities not to be hidden, sensitive and important is choosing the right place for them. Given the complexity of the problems Related to choosing the right place for creating custom applications various factors must be considered. The purpose of this study was applied and considering that specific method has been used to identify optimal locations for prison location which is less used, it is considered a development and is, from a methodological point of view, an analytical descriptive research. The method of data gathering is documentary and field. In this research 14 criteria have been used to locate ideal zones for prison establishment. So tools and software like software Arc GIS In order to store, manage, process and analyze data And also the AHP model In the form of software Expert Choice, Depending on the purpose of the study and the type of criteria, Various functions such as distance function, slope function, slope direction function and digital model function Height in software Arc GIS They are used to create maps. The results of locating operations were to identify different zones in the city of Doganbadan Finally, considering the distance dimension and access status of the zones, four optimal zones were introduced. These zones (with total area of 5382 square kilometers) surrounded by the village of Talkhab, respectively, of the village of Gardanqalat, around the village of Dezsoleiman and the village of Baba Muhammad.
Maryam Aghaie, Siamak Dokhani, Ebrahim Omidvar,
Volume 24, Issue 74 (9-2024)
Abstract
Rain water harvesting is an appropriate option for storing surface runoff for subsequent uses during periods with limited access to water. The most important step in the application of rainwater harvesting systems (RWH) is the site selection suitable areas. Therefore, by identifying suitable sites for this purpose, time and cost will be saved . In this research, multivariate regression model and GIS were used to site selection in situ (RWH) in Tajare watershed. For this purpose, layers such as crown cover, litter, rock and stones, soil, curve number, rainfall, slope and depth of field as independent variable and infiltration were considered as the dependent variable. Then, according to the maps, their values were calculated in average for each of the 27 sub-basins. Also, to investigate the relationship between these variables and weighting, each of the effective layers of multi-variable regression was used by the stepwise method The results showed that the linear multivariate regression model with an explanation coefficient of 0.993 was able to estimate the penetration factor values well In terms of grade of importance, the curve number variables with a coefficient of -2.433, depth of soil with a coefficient of 0.3488, and rubble and gravel percent with a coefficient of 0.057, were the most important, and other factors were not significant. Comparison of the map from the site selection of multivariate regression in this research with some recommended criteria of various research studies showed that the predicted classes with good in the central parts of the basin and very good in the upstream areas of the basin which in the eastern and southeastern part of the basin fit have a good overlap with the recommended areas with these criteria.
Mr Shokrollah Kiani, Mr Ahmad Mazidi, Mr Seyed Zein Al-Abedin Hosseini,
Volume 24, Issue 74 (9-2024)
Abstract
Subsidence is an environmental phenomenon caused by the gradual subsidence or sudden subsidence of the earthchr('39')s surface. The phenomenon of subsidence in residential, industrial and agricultural areas can cause catastrophic damage. In most parts of Iran, there is a high correlation between land subsidence and the decrease of groundwater level and consequently the density of soil layers. In this study, using two time series of radar images with artificial apertures from Sentinel sensors belonging to 2014 and 2019, the amount of subsidence in Damaneh plain (Frieden city) was calculated. Wells were studied in the period 2014 to 2019, the results of the study of the correlation between land subsidence with changes in groundwater level at the level of 95% was significant. In the continuation of the research, using the logistic regression model, the subsidence trend in the study area was predicted and a subsidence probability map was prepared and created as a dependent variable for the logistic regression model. The independent variables used included altitude, slope, slope direction, geology, distance from the road, distance from the river, land use, distance from the village, groundwater level, piezometric wells. The output of the model is subsidence risk zoning map which was created in five classes. The accuracy and validation of the logistic regression model was evaluated using the system performance characteristic curve and the accuracy (0.89) was obtained. The good accuracy of the logistic regression model in producing the probability map Subsidence is in the study area. In the output of the model, it was found that the area of 1980 hectares, equivalent to 7.9%, has a very severe subsidence that has put the situation in a dangerous situation and the need for control and management to reduce this destructive effect.
Reza Kheyroddin, Nazanin Mostafavi Esfahani,
Volume 24, Issue 75 (12-2024)
Abstract
Landuse planning goals as the main core of urban planning are classified and studied from different aspects. The inclusion of additional value of surplus funds in the city can highlight capital funding. Following this, changes in urban land demand as the spatial changes of activities and functions occur.The commercialization of residential areas and the tendency of residential landuse changes are the disadvantages of these changes,which constitute a major part of residential neighborhoods of Tehran metropolis ,especially the northern neighborhoods of the city. The main structure of Nasr neighborhood in the 2th district of Tehran is based on Gisha street. The most important issue is multiplicity of commercial land uses in the Gisha street. According to the observations there is a bank in every 45metres of the street , while the performance radius of bank activities is defined in the region scale. It is argued that land price growth, financial and speculative justifications of these changes can cause pressure on the environment.Therefore, according to the above mentioned factors,the main objective of this study is identifing the factors affecting landuse changes in the Gisha street.
The research method in this study is documentary , local survey as well as the use of factor analysis in order to determine factors affecting landuse changes.By using this method, accessibility,landeconomics and activity distribution and neighborhood structure were considered as three factors affecting land use changes in the Gisha street .
Finally, in order to plan to control the speculative consequences of these changes , the analysis of external and internal factors with regard to indicators in questionnaire, SWOT table and finally defensive strategy to offer strategies and policies was adopted these strategies were presented in two categories: sustainable management of income sources of urban management and control of changes in land use changes.
Mohammad Baaghideh, Motahhareh Zargari,
Volume 25, Issue 76 (3-2025)
Abstract
The performance of broiler chickens is directly influenced by temperature changes and the occurrence of heat stress, whether it is cold or hot. The present study aims to assess the cooling and heating degree days in different stages of broiler chicken production in Khorasan Razavi province. To achieve this objective, daily average temperature data were collected from 13 synoptic stations during the statistical period of 1988-2018. Cooling and heating degree days were calculated for each week of production using specific thresholds, and their spatial distribution was analyzed. Furthermore, the relationship between cooling and heating degree days and geographical features was evaluated. The findings indicate a decrease in cooling degree days and an increase in heating degree days as latitude increases. The northern and western regions of the province exhibited a greater need for heating throughout all stages of broiler chicken production, whereas the eastern and southern regions had higher cooling requirements at different production stages. Overall, the northeastern, southern, and western marginal areas of the province, including Khaf, Gonabad, Kashmar, Sarakhs, and Sabzevar, exhibited the lowest cooling and heating needs during the 6-week period of broiler chicken production, making them suitable climates for this economic activity.
Seyed Komeil Salehi, Ms Habibeh Nabizadeh, D.r Amineh Anjem Shoa,
Volume 25, Issue 77 (6-2025)
Abstract
The purpose of this study was to investigate the factors affecting the increase in attractiveness of tourism purposes in Tehran. The present research is descriptive-analytical in terms of purpose and method. The data collection tool is a question and interview. The statistical population of the study includes experts and experts in the field of tourism, which was selected using Cochran formula and simple random sampling method, 210 tourism experts were selected as samples. Descriptive tests and logistic regression test were used to analyze the data. The results of this study indicate that from 210 active in Tourism in Tehran, 91 people believed in 43.3%, with attractiveness of tourist destinations in Tehran at high level, 29% believed that the level of charm at the appropriate level and only 27% He believed that the attractiveness of tourist destinations in Tehran is at a low level. The results in the field of effective factors on increasing the attractiveness of intentions due to tourism development also showed that among the four factors intended, respectively, factors of 1) innovative business opportunities with impact coefficients (613/0), 2) assets Natural / cultural and historical city with a coefficient of impact (0.577), 3) Development of tourism infrastructure with an impact coefficient (0.497) and 4) urban development agent with an impact coefficient (0.473) had the most effects on increasing attractiveness Due to tourism development in Tehran.
