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Abstract
Urban Regeneration is the one of Restoration function that imports to four dimensions of Form, Economy, Society and Ecosystem. Environment Quality is the one of objects of Urban regeneration. On the other hands lack of peoplechr('39')s interest to live and spending leisure time, the quality of city center decreases and it is more important to increase quality of city center. Environment quality is general subject and, in this study, we use creative model place for describing quality factors of environment. Golkar`s model “sustainable place” which comes from Canter`s Model “Place” is the one of most complete models for assessing the qualities of environment; It imports to four dimensions of form, activities, imaginations and ecosystem after that eventually we can obtain the Conceptual Framework of central part of Urban regeneration based on Environmental Quality. By means of content technique, various ideas and views about environment qualities from global theorists, Experiences of regenerating city center and national restoration document were collected then calculate average of them for selecting most important of them. Finally define Measures for all these important qualities to draw Conceptual Framework. The result show that legibility and Visual character are the most import qualities of empirical-aesthetic factor, Permeability and Socio petal space and Quality of public area and Vitality are the most import qualities of functional factor and Compatibility with nature is the most important quality of ecological factor. These 7 qualities which are among the most important qualities must be considered in regeneration of city centers.

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 many geomorphic landforms have fractal structures and their formation and transformation can be explained by mathematical relations. The purpose of this study is to identify and analyze the fractal behavior of landforms of macro geomorphologic regions of Iran,as well as studying and analyzing topographic and landform characteristics based on fractal relationships, and also, analyzing the characteristics of dominant geomorphologic processes based on the theory of fractals. In this study, the contour lines of different landforms of Iran (according to the territorial types) including mountains,hills, plateaus, Plain Domains, Fan Breakout, fan alluvial, for pixel sizes of 30,90,200 m, were drawn and their fractal dimension was estimated by using the box-counting method. The morphometric characteristics of the landforms and their fractal dimensions with indexes (max, mean and standard deviation) related to the five variables (height, gradient, profile curvature and planar curvature of the metric) were analyzed by Arc GIS software at each layer.After investigating their correlation with the fractal dimension, the regression analysis was performed binary and the relationship between the fractal dimension,topography, landforms and processes was analyzed. The fractal dimension has the highest correlation coefficient with the gradient and the standard deviation indices, and the lowest coefficient with the profile curvature and the mean index Moreover, for larger pixel sizes, the correlation coefficient decreases between the indices and the fractal dimension.This research can provide a ground for further research on fractal geometry in geography, geomorphology, geology, environment and other Earth sciences.

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One of the dangers that has occurred in many areas in recent years is the dangers of subsidence. Iran's geographical location has put many of its regions at risk. High precision radar interferometry technique is one of the most suitable methods for detecting and measuring subsidence. In this study, in order to identify and measure subsidence in Ardabil plain, the Sentinel 1 radar image interference technique of 2015 and 2020 has been used. In order to verify, the data of piezometric wells and land use maps in the area were used. According to the results, the maximum subsidence rate in 5 years in the region is estimated at 17 cm. The results also showed that the highest subsidence rates in the period 2015 to 2020 are in the next categories of rangeland uses with a value of 17 cm, soil value of 14 cm and rainfed agricultural and residential areas with a value of 13 and 12 cm. respectively, 12 cm subsidence for residential use can be due to demolition and construction of large buildings. Also, the relationship between subsidence and changes in groundwater level showed that in a period of 5 years, the groundwater level has decreased by 4 meters. This drop in groundwater level has led to land subsidence in the study area.

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      The purpose of the present study is applied and in terms of method: descriptive-analytical. Using GIS software, maps related to the status of each of the objective sub-indicators based on Bojnourd city police stations have been drawn. For mental indicators that have 8 items, a questionnaire The sample size in the whole city of Bojnourd is 383 people. The results of this study show that police station area 13 of Bojnourd (in region one) is the best area in terms of security index. The worst area in terms of security is related to police station area 12 (area two) in terms of index. It is security.

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Abstract
Due to the increasing importance of tourism, determining the location of Bojnourd is an inevitable necessity. The city of Bojnourd has been affected by this phenomenon by having special capabilities and opportunities for tourism in different economic, social, environmental and physical dimensions. The present research is of applied type and is a descriptive-analytical research method. SPSS, AMOS and Expert choice software were used to analyze the data. The statistical population of the study is the citizens of Bojnourd. The sample size was calculated to be 384 people using the Cochran's formula and was randomly distributed in Bojnourd. Research findings show; With 95% confidence, tourism development has affected the urban development of Bojnourd.
Also, among the variables explaining urban development, the growth of cultural services with a factor load of 0.67 had the highest correlation with the hidden variable of urban development. The index of development of infrastructure and construction facilities and services with a factor load of 0.66 is in the second place and the variable of improving the livelihood of residents with a factor load of 0.56 is in the next place. Finally, the index of increase in public services has a factor of 0.52 and has the lowest correlation with its hidden variable. The results of the structural model also show this Tourism has played an important role in the urban development of Bojnourd.

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Abstract
 Evaluation of indicators of sustainable development, as the axis of human excellence, is the dominant basis of urban planning and land management and has a decisive role in spatial dispersion and the formation of environmental behavior of human societies. The method of this research is descriptive-analytical and its main tool is a researcher-made questionnaire. Data were collected using library and survey methods (questionnaire tool). The statistical population is 35 neighborhoods of Bandar Mahshahr that the sample size through Cochran's formula with 95% confidence level using the number of households in Mahshahr 382 people who through simple random sampling in the neighborhood has distributed a questionnaire.  Based on the research criteria, the results show that the neighborhoods of Bandar Mahshahr are in a state of instability and the severity of instability is different between them.  So that in the selected indicators from the 35 neighborhoods, only neighborhoods 1, 2, 6, 15, 16, 17, 19 are at a stable level and other neighborhoods (28) are in an unstable situation, this situation is affected by their position in  It is the spatial structure of the city, which has led to the formation of neighborhood inequalities in terms of indicators of social stability and segregation.  The results of route analysis have shown that all economic, social, physical, environmental and spatial justice indicators have a positive and significant effect on sustainable development of Mahshahr city, among which the economic index has the greatest effect on sustainable development of urban areas.
 Keywords: evaluation, sustainable development, neighborhoods, planning, Mahshahr

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Abstract
Providing suitable urban spaces, especially open and natural spaces, has an undeniable effect on achieving health-oriented cities and especially ensuring the mental health of citizens. The aim of this study was to investigate and explain the effect of social indicators of public spaces on the mental health of citizens. This research is applied in terms of purpose type and descriptive-analytical method. A survey method (questionnaire) was used to collect research data. The statistical population of the study was the residents of Ardabil. The sample size was estimated to be 384 using the Cochran's formula. The research hypotheses were tested through structural equations using Amos software. The results showed that social factors have a positive and significant effect on the mental health of citizens in public spaces of the city. The value of the path coefficient obtained for the effect of the social factor on the mental health of citizens is equal to 0.52 so that this factor is able to predict 0.27 of the variance of the dependent variable, ie the mental health of citizens. The results also showed that social indicators, namely security, social relations and sociability of urban public spaces have a positive and significant effect on the mental health of citizens. Among social indicators, security index has the highest coefficient of path.

 
 
 

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The quality of the urban environment is one of the important indicators of the development of any city. In this regard, the type of pattern that can be used in cities can have a great impact that biophilic urban planning is one of the most important patterns due to its relationship and centrality with nature. The purpose of this study is to explain the environmental quality criteria of Tehran according to the components of biophilic urban planning. The research method is descriptive-analytical and based on data collection through survey method. The research tool was a questionnaire whose validity was confirmed by the elite community and its reliability was confirmed by Cronbach's alpha coefficient greater than 0.70. The statistical population of the study also consists of urban experts and specialists, including academics and experts in Tehran. Due to the lack of statistics in this area, coronary and cost constraints, 120 experts were selected as the sample size. The results showed that the structural-functional, content and physical-spatial indicators of the quality of Tehran's urban environment based on biophilic urban planning were significant at a level of less than 0.05. The study of the mean and significant direction indicates the weakness of these indicators and lack of attention to biophilic urban planning in the planning of this city. Also, the results of structural equation modeling confirmed that the structural-functional, content and physical-spatial indices of biophilic urban planning can be effective in improving the quality of Tehran's urban environment. . Therefore, biophilic urban planning has not been emphasized in the planning model of Tehran, but the results indicate their effectiveness in improving the quality of the city's environment if used.
 

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Abstract
The catchment area of ​​Alamut River in Qazvin province is witnessing numerous landslide hazards and landslides every year, which cause significant economic and sometimes life-threatening losses. Diagnosing the unstable areas of slopes through soil texture characteristics is a difficult task due to the difficulties of obtaining soil samples in mountainous areas. For this reason, in the present study, by using Sentinel A1 radar data, by determining the percentage of clay and sand in the soil, the soil texture map at the depths of 10, 60, 100 and 200 cm with two random forest (RF) and support vector machine (SVM) algorithms was produced in the eastern Alamut region, which was verified with soil profile samples. The results indicated that the Kappa index was more accurate in the RF model at three depths of 10, 60 and 100 cm. Then, by extracting the soil moisture map from Sentinel 2 data, at the same time as examining the internal friction angle of the types of soils in the region, comparing the slope and profile of the slopes and the shape of the convex (divergent) and concave (convergent) slopes, the unstable areas of slope movements, RF and SVM models were specified and validated with GPS data, field visits and Google Earth. Research findings show that the instability map resulting from the RF model has a higher accuracy (AUC=0.93) than the instability map resulting from the SVM model (AUC=0.90) and there is more instability in areas with medium to high slope and with soil texture of sandy clay loam and sandy loam. . This method has many advantages in preparing the soil texture map, determining the unstable areas of the slopes against mass movements and landslides, determining the vulnerable areas in mountainous areas and reducing financial and human losses.
 

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sudden stratospheric warming has an obvious effect on the Earth's surface climate. In this research, the changes in precipitation during the occurrence of this phenomenon have been investigated. For this purpose, after revealing the warmings that occurred during the studied period (1986-2020), 18 warmings were identified. The 5th decile and 9th decile of precipitation were calculated for the precipitation data of 117 stations. And the size of the difference from the normal rainfall was checked in two ways. First, the precipitation at the time of warming was compared with the long-term average, and then the trend of changes in precipitation at three times before thewarming, at the same time as the warming, and after the warming was finished. Finally, these results were obtained. Warmings according to the month in which they occur; They have a different effect on the amount of precipitation. In the sudden stratospheric warming that occurred in December, January and February, the northwest experiences the most rainfall changes and is above normal, and the probability of rainfall above the 9th decile increases up to 65%. Western and southwestern regions also have higher than average rainfall and the probability of heavy rainfall is high. Precipitation on the shores of the Caspian Sea shows an inverse relationship with sudden stratospheric warming, so in all the investigations of this research, the lack of precipitation at the time of warming in these areas is significant. Southern regions have less than normal rainfall in all sudden stratospheric warming events. The center of Iran has higher than average rainfall in the sudden stratospheric warming months of March. Eastern Iran also has heavy rains compared to normal during the sudden stratospheric warming months of March.

 

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Landslides are among the most common and destructive natural hazards that change the shape of the earth's surface, and reviewing the damages caused by landslides, the need to investigate the factors influencing the occurrence of this phenomenon and predict its occurrence. proves that Khalkhal City, due to its special geological, climatic, and geomorphological characteristics and human activities, has been affected by the risk of landslides for a long time. Therefore, considering the importance of the issue; The purpose of this research is to produce a landslide risk map in this city. In this regard, first, the distribution map of landslides and influencing variables, including; DEM, slope, aspect, land use, lithology, distance from fault, distance from river, distance from road, and rainfall were provided. Next, after the fuzzy membership and determining the weight values of each factor using the CRITIC method, the landslide susceptibility map was prepared using the MARCOS multi-criteria decision-making method. The results of the study showed, respectively; that The factors of slope, land use, and lithology with weight coefficients of 0.148, 0.139, and 0.132 have the greatest influence on the occurrence of landslides in the region. According to the results of the research, respectively; 707.14 and 512.87 square kilometers of the area of the city are in high-risk and very high-risk categories, and these areas are areas that need management work and the implementation of protection projects. Also, considering the use of the ROC curve method the area under the curve (0.89), and the correlation of 0.83% between the final map obtained from the research and the distribution of sliding surfaces, the accuracy of the MARCOS method in identifying and zoning prone areas The risk of landslides in Khalkhal city is great.
 

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Gorgan Bay is considered a geological landscape and a coastal sedimentary environment in the southeast of the Caspian Sea. The hydrodynamics of the coasts of this region is subject to the general hydrodynamics of the Caspian Sea. Due to the low slope topography of these beaches, the slightest change in the sea level will lead to hundreds of meters from place to place in the coastline of this area. Changes in the water level of the Caspian Sea is an environmental and coastal management problem, and today the decreasing trend of the water level of the Caspian Sea during the last few decades has caused destructive effects such as land formation on the coasts of Gorgan Bay. In order to investigate the effect of changes in the level of the Caspian Sea on the southern shores of Gorgan Bay in a period of 66 years, existing reports and studies have been used and field surveys have been used, and the coastlines of the studied area have been monitored through the processing of aerial photos from 1955 and Landsat satellite images. MSS, TM, ETM and +ETM have been carried out in the years 1975-2021 in Arc GIS and ENVI software. Coastal changes were processed during 4 periods. During this period, the level of the Caspian Sea water level fluctuated between -26.5 and -28.7 . Based on the results obtained from satellite images and field visits of Gorgan Bay, 1 stage of water level increase in the period of 1995-1985 by the amount of 131 square kilometers and 3 stages of water level decrease in the years 1955, 1985-1975 and 2021-1995 by the amount of It has covered 246 square kilometers.

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Drought is one of the most destructive natural disasters in human societies that cause irreparable impacts on agriculture, environment, society and economics. So, awareness of occurrence of droughts can be effective in reducing losses. In this study, in order to modeling and forecasting drought severity in a 37 year time period (1971-2007) in 21 meteorological stations, located in the cold semi-arid region of north-west Iran, artificial neural networks was used. The input data was annual rainfall data and annual drought precipitation index for all stations that 80% of the data (1971-2000) used for training the network and other 20% (2001-2007) used for testing it and in the next step drought severity predicted for the years 2008 to 2012 by the trained algorithm without using actual and existed data in this period. The appropriate structure for the network, based on Multi Layer Perceptron with three hidden layer, Back Propagation algorithm, Sigmoid transfer function and 10 neurons in middle layer. The results show that the artificial neural networks are well able to predict the non-linear relationship between rainfall and drought as it can simulate drought precipitation index values largely consistent with the real values with more than 97% regression and less than 5% error. So, drought can be predicted by this method in future and also it is useful in water resources management, drought management and climate change. 

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Global warming and the meaningful relationship between temperature and precipitation changes over different areas of the earth with temperature increment of the earth, are considered as the most important patterns of this century’s climate changes. Today, there is debate over climate change and global temperatures increasing. Damaging effects of this phenomenon on the planet is one of the most challenging issues in global scale. Because of this, the research ahead is done for the detection of global warming on maximum temperatures, monthly and periodic (hot and cold) as well. For this study, two groups of data, temperature data of 17 synoptic stations and corresponding amounts of data in global temperature anomalies were figured out over 60 years period of time (1951 to 2010). Goals, the Pearson correlation method for detecting relationships between data's, linear and polynomial regression for trend analysis time series data , To illustrate the correlation between the spatial distribution of temperature data with global warming stations nationwide Geostatistical model Finally, non-parametric test for detecting significant temperature change Man - Kendall were used. According to the results impact of global warming on the maximum temperature in the cold months like January, December and November should be much lower, and the highest in spring and summer season in the southern stations such as Abadan, Ahwaz and Shiraz seen. The above process is also evident in periods of hot and cold temperatures and the influence of the stations temperature of the warm period of global warming were higher than cold period and represent an increase in the temperature of the warm period of years. In between, the number of stations as well as Anzali, Urmia and Khorramabad stations in some months had the opposite influence of global warming and seen drop in the maximum temperatures of them. It is also observed in the results obtained from the analysis period. Station's maximum temperature trend change is represents significant in the summer month. Changes trend in the months of July, August and September, is significant that the process is more pronounced in the southern stations. Significant analysis trend changes have been taken in periods (cold and hot) in studied stations indicative of its significance in warm period.

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Transportation networks‚ particularly roads as a linking elements between settlements has a significant role in the exchange of flows between urban and rural areas and also rural development .The aim of this paper is to study the effect of highways construction and expanding transportation on rural stable development in the rural district of eastern Miankouh which by using survey method (questionnaire) have been turned to the studying of highways construction on development quality of adjacent villages in this rural district. In this study ‚mean time of defining the population community (514 family)‚ the 103 family was selected as a sample with Cochran formula (12 villages).The result of achieved data analysis‚ on the basis of‚ fitting regression test‚ linear regression and path analysis showed that the most general effect of highway construction is relevant to the environmental dimension with amount of (0/591) so that the contamination of soil and water resources have been increased in rural areas. Also using of fertilizers and pesticides is been prevalent. The amount of demolition of water resources such as springs and water channeling have been increased in the rural boundary. and also pastures‚ forests and fertile lands have been allocated to the building constructions and forming dimension with amount of (0/058) has the least overall effect on the rural stable development in the boundary of studying area.

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The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of year that start from October to June. By applying the principle component analysis on the sea level pressure during the 107 days, the results showed that 12 components explain about 93 percent of sea level pressure variation. The results of the applying cluster analysis on the component score showed that two circulation patterns result in occurrence of extreme and heavy precipitations in Kurdistan province. In order to recognize heavy precipitation in dry season (June to October), the area mean precipitation for the province have been calculated. According to the 99 percentile threshold and extensively of precipitation the heavy phenomena recognized. By two thresholds 32 days selected and same as to the wet season precipitation the sea level pressure data from NOAA extracted. The data analyzed by Principle Component Analysis and 11 components extracted that explain the 93 percent of variation sea level pressure in the frame study. By doing cluster analysis on the 11 components, one pattern recognized for the sea level pressure.  The results showed that in lower atmospheric levels (1000, 925 and 850 hpa) occurred highest convergence on the study region during wet season. The source of humidity in the lower levels is Arabian, Red, Oman, Persian Gulf and Mediterranean Seas. In the high level atmosphere, the value of convergence is low. The sources of humidity in high levels atmosphere are Red and Mediterranean Seas. In the mid level atmosphere (500 hpa) the presence of trough results in nutrition of the instability on the study region. Also during dry season, the highest moisture flux convergence occurred in the low levels but the resource of the moisture is Caspian Sea. In the upper levels (from 700 hpa to up) in addation to Caspian Sea, Mediterranean and Red sea are the resource of heavy precipitations.