Original Article
Remote sensing and Gis
Rahim Heydari; Naseh Valizadeh
Abstract
The purpose of the current research is to investigate the air quality index and its relationship with changes in the green space of Tabriz metropolis. Data, air pollution data from 1383 to 1396 and five main air pollutants (PM10), SO2, CO, O3, NO2) have been used, which include stations (Abrsan, Health, ...
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The purpose of the current research is to investigate the air quality index and its relationship with changes in the green space of Tabriz metropolis. Data, air pollution data from 1383 to 1396 and five main air pollutants (PM10), SO2, CO, O3, NO2) have been used, which include stations (Abrsan, Health, Railway, Prayer Square, Baghshamal, Hakim Nizami) ) is The research method, after averaging, the data were converted into standard data in Excel software, entered into the software (GIS) and using the interpolation method (IDW), the air quality map of unhealthy days was obtained. Finally, by using the index (NDVI) of green space images of 1969-83-96 in order to relate it to the state of air quality and the trend of decreasing or increasing green space in the mentioned time period, the final map of the number of days of unhealthy air quality was prepared. According to the obtained results, the state of health index of air quality in Tabriz metropolis has a direct relationship with changes in green space. The highest volume and density of pollution in the middle and center of the city is due to the large volume of traffic in these areas and daily commuting to these areas. In the southern and southwestern parts of the city, industrial areas, due to the high concentration of pollutants, air pollution is more in cold seasons. The most pollution is related to the pollutant (PM10) which is one of the most important pollutants polluting the air of Tabriz city.
Original Article
Geography and Urban Planning
Ali Oskouee Aras; Ahmad Nikdel Monavvar; Fereydoun Babaei Aghdam; Iraj Teymuri
Abstract
Housing indices are a suitable tool for understanding the housing situation in different dimensions. The current research aims to investigate the physical quality of housing and compare it in formal and informal settlements in the Tabriz metropolis. The current research is in the category of applied ...
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Housing indices are a suitable tool for understanding the housing situation in different dimensions. The current research aims to investigate the physical quality of housing and compare it in formal and informal settlements in the Tabriz metropolis. The current research is in the category of applied research and terms of methodology, it is among descriptive-analytical research. For this purpose, by using library studies, the research of 7 variables; Building life, structure type, building quality, number of floors, housing area, occupancy level, and building density were used as indicators of the physical quality of housing extracted from the detailed plan of Tabriz metropolis 2015. The factor analysis method and factor loading of the variables were used to weigh the variables and the data analysis was done separately through spatial analysis in the Arc GIS software environment and the Electre method in the Excel software environment. Through spatial analysis, the present study achieved the evaluation of the spatial distribution of the physical quality of housing at the neighborhood level, and also through the Electre method, the neighborhoods were ranked according to the physical index of housing quality, and then both findings were compared. The findings of the research showed that based on the spatial analysis, Golpark, Zumard, Valiasr, and Golkar neighborhoods have the largest area in terms of quality, and according to Electre's findings, Zumard, Valiasr and Golkar neighborhoods are ranked first to third.
Original Article
Geomorphology
Kolsum Mohammadian; Hamid Ganjaeian
Abstract
Rivers besides the positive effects of the rivers in the areas, there are also risks that, if not paid attention to them, can cause a lot of damage. Accordingly, in this research, the geometric status of the river studied and the proper use of the marginal areas of the river are determined based on the ...
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Rivers besides the positive effects of the rivers in the areas, there are also risks that, if not paid attention to them, can cause a lot of damage. Accordingly, in this research, the geometric status of the river studied and the proper use of the marginal areas of the river are determined based on the morphology of the region. In this research, the aerial photographs of 1360 and satellite imagery of 1397 have been used to investigate river changes. In accordance with the objectives, using ARCGIS and Auto Cat software, the first step was to investigate the morphological status of the river and then using the fuzzy logic and AHP combination model to zoning the areas suitable for the development of residential, agricultural and green spaces. The results of the survey of the morphology of the river indicate that the second period is closer to the first period than the Meander River, and the river in general has tended towards the Meander over time. Also, the study of the displacement rate indicates that the first open with 32.66 km long has an average of 33.3 meters, and the second interval with 27.17 km long has an average of 17.2 meters displacement. In addition, the results of zoning of the marginal areas of the river indicate the proportion of the western margin of the river for the use of residential, agricultural lands and green spaces.
Original Article
Remote sensing and Gis
Khalil Valizadeh_Kamran; Fatemeh Adimy; MohammadHosain Pourghorban Benam
Abstract
One of the hazards that threatens the existing infrastructures in different regions is the phenomenon of landslides. The present study tries to identify the prone areas of this natural phenomenon in Khalkhal city, which was done using the neural network method. For this purpose, 9 factors affecting landslides ...
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One of the hazards that threatens the existing infrastructures in different regions is the phenomenon of landslides. The present study tries to identify the prone areas of this natural phenomenon in Khalkhal city, which was done using the neural network method. For this purpose, 9 factors affecting landslides were identified and prepared, the layer of landslides that happened, obtained from aerial photos and satellite images and field visits, and using non-sliding points in the region, perceptron neural network training data. They created several layers. In order to model the neural network, these data were transferred to the MATLAB 2016 software after initial preparation in the ARC GIS 10.5 software environment and were trained using MLP neural network coding to deal with the data that they have not encountered. , make predictions. The structure of the designed neural network was selected from among the many networks that were created and tested, 1-12-9, which obtained 9 inputs as the number of effective criteria, 12 neurons in the middle layer and one neuron and layer for the output of the network. The results of the validation chart of the neural network (ROC) model show a high accuracy of 95% of the created model in predicting sliding pixels. According to the results, 0.57%, 0.11%, 0.07%, 0.06% and 0.07% of the studied area were placed in very high, high, medium, low and very low classes, respectively. Due to the fact that the largest area of the region is in a very high risk class,
