فصلنامه تحقیقات کاربردی علوم جغرافیایی
پیاپی 72 (بهار 1403)

Mineral Dust, the most important type of aerosol, has a significant direct and indirect role in weather and climate. In this case, it intend to investigate the capability and capability of MACC model validated by MODIS for detection of dust episodes in the Kurdistan province during 2003-2012. To achieve that, we analysis satellite and model data using Man-Kendall trend and statistical tests. The results of the temporal distribution indicated that the mean Aerosol Optical depth (AOD) in 2008 was 0.36 and its lowest was 29.04 for 2004. In addition, average AOD in menthioned year was 0.036, 0.335, 0.385, 0.377 and 0.3368 for the cities of Sanandaj, Saqez, Ghorveh, Kamyaran, Marivan, respectively. The spatial distribution of AOD average in different seasons showed that winter and autumn had the lowest amount and spring, and summer season had the highest AOD. AOD's monthly spatial distribution showed that high dust belonging to April-August period to covers completely interested area.The results of the Man-Kendall test showed that the area had a significant positive trend in the spring season throughout the province and the summer season in the east of the province. Therefore, the spring season in the area known Extreme Season and June 19, 2009 between the five days of the dust extreme is as an extreme episode with an average AOD of 1.16 and a horizontal visibility of less than two kilometers that it have the highest and most widespread mineral dust. In general, the results of the MACC with multidimensional approach showed that optical depth (AOD, DOD) is a more appropriate criterion than horizontal visibility in determining dust storm.

In this research, the sensitivity of the meteorological elements (such as mean temperature, relative humidity and wind speed) to different physical parameterizations in the numerical forecast model (WRF) was evaluated to simulate the climate of the city and adjust the Urban Heat Island of the study area.To study urban environmental issues, the Urban Canopy Model (UCM) was coupled to the WRF model. Several experiments were performed to achieve optimal configuration for simulation in the period from 18-21 August 2016 in the stable atmospheric conditions in summer. Selection of the most appropriate configuration with the least error is proposed as an appropriate setting for urban climate simulations and the study of Urban Heat Island (UHI). Increasing surface reflections to reduce UHI in the range was applied. Two indices of Root Mean Square Error (RMSE), and Mean Bias Error (MBE) were used to evaluate the predictive performance of the model and its corresponding observational values. The results showed that in the province of Tehran, in general, all configurations estimate the air temperature and wind speed less than real and relative humidity more than the actual value. In Alborz province, all configurations estimate the air temperature and wind speed more than real and relative humidity less than real value. By increasing the reflection of urban levels, the mean temperature of Tehran and Alborz provinces decreases 0.6 and 0.2 ° C, respectively. Wind speed, especially in urban areas, increases somewhat. We also see an increase in relative humidity (especially in urban areas) in the studied areas.

In this study, the prediction of precipitation and temperature values using the general atmospheric circulation models during 1964-2005 is investigated. Climatic data including daily values of total precipitation and mean temperature were obtained from the Iranian Meteorological Organization. Considering the climate change scenarios RCP4.5, RCP2.6 and RCP8.5 for the coming period 2010-2100 were evaluated under the canESM2 climate change model of Aharchai Basin. Due to the low accuracy of the general circulation models, the SDSM4.2 miniaturization model was used and the changes in precipitation and mean temperature parameters were simulated for future time periods. In this study, to calibrate the SDSM model, among the 26 large scale climate parameters (NCEP), on average, 3 parameters have the highest correlation with the mean temperature and 5 parameters have the highest correlation with the average precipitation in the Aharchai Basin. The results of climatic parameters prediction showed that simulation of climatic parameters mean temperature was performed with higher accuracy than mean precipitation values. The reason is that the precipitation data are not normal and unconditional. The results show that the basin temperature averaged more during the period 2070-2099 under the scenario RCP8.5 than the observations period of 1964-2005 and the basin precipitation during the period 2070-2099 under the scenario RCP2.6 showed the highest increase in the entire study period.

The purpose of this study was to evaluate the temporal variations of vegetation cover of Gharesou River riparian area in Ardabil province using landscape metrics over a period of 8 years which is important for morphology assessment and river ecosystem protection planning and management. The Google Earth imagery for the years 2011, 2016, 2019 due to their live view and high resolution were used to map the Gharesou River riparian area vegetation. Correlation analysis in R environment was used to evaluate the relationship between landscape metrics in the study time period. The results showed that there is an increase in the number of patches, which showed an increase in landscape fragmentation of the riparian area vegetation. Landscape connectivity index was 91.52% to 95.49% in this region during the study period, indicating the removing small patches of vegetation communities around the river. The number of patches in the present study showed an increasing trend, which was the highest amount at 2019 year. The results of changes in the width of the Gharesou River showed that the river width in 2019 was 27.43m and 3.97 m, respectively. Comparison of river width values ​​over the three study periods indicates an increasing trend in river widths, which may be due to the limitation of river width by human activities or the protection of river banks to protect agricultural lands against flooding effect. Also, the correlation of river width showed that the correlation between time period 2019 and 2016 was 0.63 and significant at 0.001 levels. The lowest correlation between the period 2019 and 2011 was 0.30 at 5% significant level. In conclusion, the results of changes in riparian area communities can be linked to the extension of agricultural land adjacent to the main river course.

 Historical contexts have rich cultural and cultural resources and are not very important not only because of the existence of valuable historical buildings and spaces, but also because they are real narratives of the life and activities of human beings who have lived throughout life. They lived in them themselves. Today, due to urban development and the blockade of the technology of historical textures, the issue of restoration of cultural and historical textures and the implementation of urban design projects in them has faced a double challenge of the intervention and protectionist approach. According to these two approaches, new constructions and contemporary architecture do not have enough identity to be included in the valuable urban contexts, and the process of burnout has been manifested more rapidly in historical contexts. The need to pay attention to the reconstruction and protection of historical contexts with a comprehensive approach and taking into account the physical, legal, environmental, economic and social dimensions is one of the objectives of the present study. This research has been studied in terms of practical purpose and with a qualitative approach and using content analysis method and to collect the required information and data, documentary studies and field studies have been used. The findings show that the neighborhood is worn out and to recreate the historical core of Qazvin city, the approach of urban revitalization and urban and strategic regeneration strategies is essential in line with the principles of sustainable development.

Social sustainability today, as the most important dimension of sustainable development, has an important place in urban planning and its importance in planning is constantly increasing with the increase of social problems and divergence between neighborhoods in terms of performance and participation. Therefore, this requires more research in urban studies. This study was conducted to investigate the role of social participation in the development of social sustainability in neighborhoods. For this purpose, the significance of the significant effect of these two variables has been measured. The research is applied in terms of purpose and descriptive-analytical in terms of method. Data collection was library and field method. The statistical population of the study consists of a group of experts who were selected by the available method of 20 people as the sample size of the study. Data collection tool is a questionnaire based on theoretical foundations and studies conducted on a five-point Likert scale. Data analysis was performed using structural equations with the help of Emus software. The results showed that the social participation of citizens in neighborhoods with a coefficient (beta) of 0.732 has a positive effect on sustainable social development of these neighborhoods and the relationship between these two variables is significant. In other words, sustainable social development will be strengthened by strengthening social participation. And the variables of sense of belonging, satisfaction with the neighborhood, participation in neighborhood activities and trust also have a positive effect on the variables of social participation in neighborhoods.

The aim of the present study is to dynamically model the spatial-temporal characteristics of dust in the south and southeast of Iran with REG-CM4 model using monthly dust data and RegCM4 data. For this purpose, the dust distribution of the IDW method along with the dust diagrams were plotted. The RegCM4 model was implemented with the paired Lambert image imaging system for 40 km horizontal separation with the paired chemistry model. The location of monthly and annual dust distribution shows the highest amounts of dust for the cities of Zabol, Bandar Abbas, Zahedan and Jask compared to Sirjan, Kahnooj and Lar stations. The highest frequency of dust in Sistan and Baluchestan (48%), Hormozgan (27%) and Fars provinces with 16% and the lowest frequency for Kerman province (9%). In general, the summer seasons (at Sistan station) and the winter (Kerman station) have the highest and minimum dust events, respectively. The time survey also has the highest amount of dust for the warm months of the year and the lowest for the cold months of the year. July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.

The Qajar period should be considered as a period of numerous economic, political, and military treaties, treaties, and treaties. Territorial, trade, and economic expansionism imposed on Iran by the clever politicians of foreign governments with superior military power, and many benefits from these treaties and agreements benefited these countries, especially Russia. Following that, geographical and historical developments began in the Turkmen settlements of northeastern Iran. This article has been prepared with the aim of analyzing the historical geography of Khorasan region in the northeast and the approach of the government-nation of Iran to the Akhal contract. It is a descriptive-analytical research method. Research data is collected through documentation and library. The analysis of the article has been done with a qualitative approach based on documents and arguments. The analytical results showed geographical and border changes in the northern part of Iran. As part of the Akhal contract, parts of northeastern Iran were annexed to Russia and Iran's historical geography in northeastern socio-political changes and the reaction of the Turkmen people while the photo There was no action among Qajar government officials.

The question of resource constraints is an issue for all industrialized, developed and developing countries. Therefore, saving on fossil energy consumption and sustainable development have become very important and common issues internationally. So as to conserve energy resources, prevent contamination of the land and the environment, reduce fossil energy use and co-exist with natural and state-of-the-art environments, one of the most important measures in architecture and urban planning, and the architects and urban planners have to adhere to the principles and rules. Special in the field of construction. Over the years, various guidelines, standards, and standards have been developed to optimize energy consumption in buildings, including the most noteworthy metrics today (LEED). The purpose of the present study is to identify the causal pattern of environmental sustainability principles based on the Leid's Code. The present study is of applied purpose and of descriptive-analytical method. The statistical population of this study consisted of Qom architects and experts. The sample size was 25 individuals. In order to achieve the purpose of the study, fuzzy DEMATEL model was used. The results of this study showed that amongst the biodiversity sustainability criteria based on the Leading Model of the Sustainable Site Criterion was identified as the most influential criterion and the Regional Priority and Innovation Criteria in the design as the most influential criterion. Energy, climate and water efficiency and indoor air quality of materials and materials were also identified as intermediate criteria.

The present study addresses the future prospects of urban management of Marand, specifically to study the problems and issues of urban management as well as providing solutions to improve its status. The main purpose of the research is to answer the question of what people and experts have about the causes of the problems of urban management in Marand, and with what road map there can be defined and achieved a perspective for urban management. The method used in this research is descriptive and analytical, and it utilizes the Oregan social vision model.. Oregan model is used to plan the process of strategic vision development in local communities. One of the most important advantages of this model is to adapt to different conditions and environment. The Oregan model is a process composed of four steps, each of which is built on the basis of a simple question: Where are we now? Where are we going? where shall we be? How to get there? Then, in different time intervals, monitoring of the implementation status in order to overcome the shortcomings would be possible. In this research, after analyzing the status quo, using collaborative planning and making questionnaire and receiving the opinions of citizens and experts, different perspectives have been defined for the city and, consequently, the necessary strategies are presented. The results show that the urban management of Marand is not in a suitable position, and it is necessary for the management to try to improve the lives of citizens with the aim of reducing the weak points and avoiding threats based on the strategies for resolving problems and crises of urban areas, attracting citizens, creating well - being for people, creating financial stability, and building administrative stability.

A city requires city brand and appropriate strategies for beneficiaries, especially tourists; hence, city development plans can affect the type of city brand orientations. Accordingly, this study was conducted to identify the effective factors to design structural equation modeling (SEM). SEM was employed to rank the factors and find the correlation between them using Forner-Larcker Matrix. This was an applied-correlational study in which, data were collected through convergent mixed methodology, library study, questionnaire, and Semi-structured interviews. Birjand was chosen as the research field and a statistical sample was chosen at descriptive statistics using purposive and snowball sampling methods. Accordingly, 19 subjects were selected from urban experts, and 381 tourists were chosen at the quantitative step using simple random sampling. findings obtained from interviews implied that some points should be considered for the city branding of Birjand. The factors include the significant militarily and academic impact of Birjand on historical aspect and service-based economy of the city, cultural capitals, and the arts that are forgetting, immigration, and implementing the development-driving plans. The research model indicated that city development plans had the highest positive effects on the landscape and mental image regarding city branding plans. Moreover, According to the correlation between components, the highest relationship was between mental image and landscape (0.66).

The present study in dealing with the problem of weakening the connection between human and place in todaychr('39')s cities, is trying to examine the theories derived from the approaches of phenomenology and environmental psychology. The research method in the present study is a descriptive-comparative survey based on a documentary study and a questionnaire ". According to the statement of the problem and the choice of two zones 1 and 18 as a case study, Tajrish in District 1 and Shahrak-e-Valiasr in District 18 of Tehran were selected as a case study based on situational sampling. According to the type of research (descriptive -survey), 100 residents of Tajrish and 120 residents of Shahrak-e-Valiasr were selected by simple random method. Dependent variable is "Residentschr('39') mental image of urban places" (twenty indicators derived from theories proposed in phenomenological and environmental psychology approaches) and independent variables are including respondent individual characteristics (age, gender, occupation, education, marital status,…) . The respondent and the mentioned factors, the strengths and weaknesses of the twenty indicators should be identified and strategies should be proposed to improve the constructive dimensions of the mental image in the case studies. Statistical analysis of the data obtained through the questionnaire indicated that Despite the significant difference between the satisfaction of the components of the mental image in these two neighborhoods, There is a correlation between the individual characteristics of the respondents and the satisfaction of the mentioned components in both

In recent years, the technology of crop production has been greatly expanded using satellite data. Today, Landsat 8 and OLI sensor data, with a spatial resolution of 30 meters, allow the discovery of factors that control phenology on a local scale. In this study, the remote sensing indices - NDVI, EVI, Greenness, and Brightness - obtained from the OLI sensor and the GCC index obtained from digital camera images were used to estimate the phenological stages of the rapeseed plant. The Savitzky-Goli filter was used to remove outlier data and to produce smooth curves of time series of plant indices. The results showed that the curves obtained from the indices of NDVI, EVI, GCC show all four stages of remote sensing phenology – green-up, dormancy, maturity, and senescence - well, but the Greenness index did not show the dormancy stage well. The Brightness index curve shows the inverse behavior to other curves. According to Pearsonchr('39')s correlation test, GCC index data are correlated with NDVI and Brightness index data .we used the ratio threshold, rate of change and first derivative methods, to estimate "start of season" and "end of season" and the results showed that the first derivative and ratio threshold methods with an average difference of 18 and 19 days in the "start of the season"  and the rate of change method, with an average difference of 8 days, has the best performance in estimating the “end of the season”. Also, the Brightness index with an average difference of 16 days and the EVI index with an average difference of 7 days have the best performance in estimating "start of season" and "end of season", respectively.

ose of this paper is to investigate the barriers and challenges of home businesses from the perspective of home business experts and owners using the Delphi method and confirmatory factor analysis. The purpose of this study is applied research and descriptive-analytical in nature and has a qualitative approach. The statistical population of the study consists of two groups. The first group included experts from the Bureau of Co-operation, Labor and Social Welfare, and the Bureau of Cultural Heritage, Crafts and Tourism, and the second group consisted of home business owners. The sample size for the first group was 28 people using snowball or chain sampling and the second group is based on the statistics of about 1000 people in rural areas of Isfahan province which was determined 276 people according to Cochran formula. Data were analyzed using SPSS 23 software. Delphi technique was used to identify the existing challenges of Isfahan rural communities home businesses. Results in the qualitative part of the study indicated that the most important challenges facing home businesses are structural and managerial factors, policy making, financial and economic, individual-personality, research and information. In the quantitative section, using confirmatory factor analysis, there are 5 factors, namely: financial and economic factors, managerial and structural factors, weaknesses in comprehensive rules and policy, research and information, and personal and personality factors which are 78/73. Explains the percentage of total variance

Different methods are used for baseflow separation, filtering method one of these methods. In this study, the filtering methods with different algorithms, inclusive One-Parameter, Two-Parameter, Three-Parameter, Lyne & Hollick, Chapman, Furey & Gupta, Eckhardt and Ewma used for daily baseflow separation of Kahman karst spring in Aleshter county. The statistical period used in this study was a period of 27 years. The Isotope content method used as the main method for baseflow separation. Samples analyzed at the Mesbah Energy Company laboratory. Each algorithm has different parameters. First the parameters of each algorithm optimized based on the isotopic content method in the water year of 2017-2018. Then the optimized parameters used for the period 27 years.  At the end, using the evaluation of different critical compared to the different algorithms. The results showed that the Eckhart algorithm performs better than other algorithms. This algorithm estimated baseflow and surface water indexes, respectively 81 and 19 percent.

Awareness and understanding of the climate trends by farmers and the attitude towards the necessity of this awareness is one of the essential capacities in agricultural societies. Farmerschr('39') attitudes to climate information are affected by their behavior with the climate hazards and uncertainties and influence their decision on adopting appropriate strategies to minimize the damages caused by climate changes on agriculture and improve their readiness. Hence, the aim of the present study was to establish a comprehensive framework and model for the qualitative evaluation of studies discussing the factors that affect farmerschr('39') attitudes to climate information utilization with a systematic review approach. For this purpose, the following keywords, including climate, climate change, climate changes, meteorological information, global warming, drought, flood, chilling, frost, climate hazard, precipitation, temperature with the aid of the following keywords namely, farmer, farmerchr('39')s attitude, farmerchr('39')s perception, farmerchr('39')s knowledge, and indigenous knowledge were used in both languages, Persian and English, among the articles published between the year of 2000 and 2019. After three stages of screening 788 related articles and according to approved criteria, 25 scientific and research articles were selected and explored. After qualitatively evaluating these articles, a model with five bio-environmental, individual, social, economic & technological factors as well as 19 dimensions has been proposed to evaluate the factors affecting farmerschr('39') attitude towards using climate information. Finally, to apply the results of this study, a unified conceptual model is presented that can be the strength of the existing frameworks in making the national agricultural policy.

In the past, architects in many parts of Iran had built traditional public buildings to create a community convenience and comfort. Ab Anbars are good example of this facility structures which they were suppose to collect water in rainy condition and keep it cool for use in dry condition of year espacialy in hot and arid climate. To study amount of radiation and heat absorption 2 Domes of Ab Anbar in Yazd (hot and arid climate) and 2 Domes of Ab Anbar in Qazvin (cold climate) were selected. In order to simulate the domes, they were first modeled in Revit software 2017, and then models were transferred to Rhino 5 software, using the honeybee & lady bug, and with the Energy plus Engine analysis of the received solar radiation and shading were done. In the analyzes, uniformity of the dimensions of the Ab Anbars domes were used, so that the optimum dome can be obtained in terms of receiving solar radiation and absorbing heat in the shadowed area. To equalize the domes, the absorption of the sun's radiation of each dome is divided by the amount of shadowing of the same dome.Radiation absorption in hottest day of the year in hat and arid climate and coldest day of year in cold climate were calculated using Energy Plus software Honeybee & ladybug Plugins. Result shows that amount of radiation is dependent to form of domes. During study day (14,16 and 18 o’clock ) 78, 71 and 64 percent of high rise Domes  is facing radiation while 93,81 and 64 percent of  low rise domes is facing radiation. From this results it can be concluded that high rise domes have better function in hot and arid climate and low rise domes have better function in cold climate in relation to radiation absorption.

Desertification is a serious environmental and socio-economic threat to the planet. The aim of this study is to use a scientific, reasonable and repeatable method to evaluate the process of vegetation and land use as two important factors in the process of desertification on different scales (local-regional and global). In this study, Sarvestan plain in Fars province was selected as the study area. For this purpose, Landsat images were used for TM (1993), ETM + (2001 and 2006) and OLI / TIRS (2016). Image monitoring was performed using image differentiation, NDVI index difference and land use maps. In 1993, 2001, and 1993, and 2016 difference maps, the decrease in the amount of water in the mouth of Lake Maharloo can be clearly seen as increasing changes in the infrared band. The results of the difference between the vegetation index and the increase in vegetation in the form of agricultural lands in 2016 compared to 2006 and 1993. According to the results of the monitoring classification, from 1993 to 2016, irrigated areas decreased from 7.11 hectares to 0.7575 hectares, on the other hand, the level of saline lands increased from 143.99 hectares to 223.83 hectares and the level of cultivated lands increased. (Agricultural and horticultural) has increased from 113.28 hectares to 14/2014 hectares, which due to the importance of saline lands and land use change indicators in the studies of the desertification assessment process, it can be concluded that the desertification process in the study area is growing.

Climate change, including spatial changes in rainfall following the increase in greenhouse gases, is a challenge that affects various aspects of life in human societies today. In this study, the long-term spatial changes of the rainy season from September to May were studied using the statistics of "local Moran" and "Hot spots of Getis Ord-J" during 5 5-year periods from 1991 to 2015. The application of local Moran statistics showed that areas with long rainfall periods are in good agreement with the countrychr('39')s rainfall pattern. This adaptation is accompanied by a negative spatial correlation in lands with short rainfall periods. The pattern obtained from the hot spot statistics also showed itself to be more consistent and corresponded to two very low rainfall regimes in the southeast and center, while according to local Moran statistics, this pattern was more scattered and parts of it had a low southern precipitation regime. . In addition, the results of Alexandersonchr('39')s statistics to identify mutations in the long-term series of the rainy season showed that the time series of 13 stations out of 108 stations studied experienced a sudden jump that these mutations are more in the southern stations in the country and in later years. It has occurred since 2000 AD.

The subsidence phenomenon is considered one of the most frequent hazards occurring worldwide and imposing irreparable damages every year. This phenomenon affects the ground’s surface and its layers and causes the ground deformation. It can be referred to as a morphological phenomenon that is associated with the gradual sinking of the ground and the vertical movement of materials. Among the various methods used to study the land subsidence pattern, the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique has provided more accurate results. Therefore, this technique was used to investigate the subsidence rate in Mashhad plain from 2003 to 2010 and the Envisat ASAR (C-band) and Sentinel-1 ASAR (C-band) satellite images were employed during the year 2019. The results show that the highest subsidence rate of about 44 cm occurred in Qasem Abad and Kalateh-ye Barfi lands from 2008 to 2010. A subsidence rate of about 37 cm was also observed in the same area from 2007 to 2009. The interpolation results using piezometer well statistics show a decrease in groundwater levels in this area and confirm the accuracy of the results.

Return migration is a reaction to the attractiveness of rural areas. This type of migration can have many and varied effects on rural area reconstruction. The purpose of this study was to identify and analyze the effects of return migration on the reconstruction of rural settlements in Neyshabur. The research method is descriptive-analytic and a questionnaire based.  In this study, 37 villages in Neyshabur that had returning migrants were surveyed. And 55 effects of returning migrants on rural areas reconstruction were identified, that the Cronbach's alpha coefficient of 0.942 indicates the optimal reliability of the research instrument. The indices were evaluated under three social dimensions with 18 indices (α = 0.925), economic with 21 indices (α = 0.891) and physical-environmental with 16 indices (α = 0.852). Exploratory factor analysis was used because t-test showed that there isn't significant difference between the three dimensions except social dimension. The results showed that 55 effects identified return migration can be classified as 14 main effects with 78.79% variance.  Accordingly, 1- increasing cohesion and solidarity among residents with 25.21% of variance, 2- improving service and welfare infrastructure with10.52% of variance, 3- boosting rural economy with7% of variance, 4- activating of capacities with 5.4% of variance, 5- developing Non-farming activities with 5% variance are the most important effects of return migration on the reconstruction of rural settlements.

Corona and Hexagon satellite photographs with a spatial resolution of 1.8 to 9 meters are a good source for monitoring and evaluating changes in surface phenomena. The purpose of this study is to monitor the changes in Zaribar Lake in the period 1969-2019 using the data of Corona, Hexagon and Aster satellites and their ability to monitor and extract the coastline, lake boundary and water surface. In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. The results showed that in the first step: geometric correction of corona and hexagon images was obtained using Google Earth images with RMSE of 0.3 and 0.4 pixels. In the second stage, the linear extraction algorithm for extracting the lake boundary and coastline using corona and hexagon photographs has high accuracy and has a high correlation with the topographic map of 1.50000. In the third step, the unsupervised classification of binary mask method, in order to detect lake changes using corona and hexagon photographs, acceptablely identified the altered and unchanged pixels, so that 11 hectares of lake surface had the most changes. Finally, in the fourth step, it was found that the mean shift segmentation algorithm and threshold worked better by applying the corona, hexagon, and Aster events to extract the water surface, and in the meantime, the corona image performed better due to its higher resolution. The above results showed that Zaribar Lake decreased by 6.5% from 1969 to 2019 and the findings have a high correlation with the product of the ester aquifer. In general, the findings of this study show the potential of using digital image processing methods for corona and hexagon data to monitor and detect changes in lakes.

In this study, for statistical studies to determine days whit temperature above 50°c, the reanalyzed data of the nineteenth, twentieth and twenty-first centuries for the West Asia region (12 to 42.5 degrees north latitude and 36 to 63.5 degrees east longitude) have been used. Also, for synoptic analysis of extreme temperatures, HGT, AIR, UWND, VWND and SLP data were used. To conduct this research, first, extreme temperature data above 50° during the last 185 years were extracted for the study area in the hot season (June, July, August and September). After identifying days whit above 50° c, HGT data at the level of 500 hp were extracted and WARD clustering was applied. Finally, after identifying the clusters, the days whit the highest temperature that occurred in each cluster were selected for synoptic analysis. It can be said that all altitude patterns of geopotential meters (HGT) at the level of 500 hp show that the main cause of occurrence and distribution of temperatures above 50°c in West Asia are high-altitude (high-pressure) subtropical West Asia, which due to the location of its high-pressure core on the Zagros and sometimes the Arabian Peninsula, it has been referred to as the Zagros or Saudi high-pressure in terms of interest and taste. What is certain, however, is the high-pressure independent identity of the subtropical Azores, which has been mentioned in numerous articles and is known to be the main cause of the heat in the West Asian region, especially Iran.

Rural indigenous entrepreneurship is one of the youngest research areas to show that in Iran, one of the largest countries in Asia and has rich cultural heritage and indigenous communities, the issue of native rural entrepreneurship has not been addressed so far. Therefore, the present article, as an analytical assessment and with a variety of approaches based on richness and conceptual diversity in the fields of social sciences, economic, planning and rural development, uses a systematic approach, while introducing entrepreneurship while introducing entrepreneurship. Rural native to introduce native rural entrepreneurship to the context of future research in the country. This article contributes to a comprehensive understanding of native entrepreneurship research by analyzing literature and research lines. In this regard, the present article, which is intended for the purpose and information provided by the documentary method, sought to answer the questions about what elements of the difference between native rural entrepreneurship and classical entrepreneurship? What are the unique goals and characteristics of rural native entrepreneurship? And what are the (model) pattern for the development of native rural entrepreneurship in Iran? The results of the study indicate that indigenous entrepreneurship is different from classical/ Western entrepreneurship, and emphasizes elements such as the use of indigenous resources, indigenous cultural values, collective interest, family relationships and family/ family ties. The results showed that rural native entrepreneurship is not necessarily in response to market needs and is mostly aimed at providing family livelihoods, environmental protection, cultural and spiritual value. Unlike Western-style entrepreneurship, rural native entrepreneurship shows elements of equality-equality, collective/kinship activity, and emphasis on available cultural values ​​and natural resources. Rural indigenous entrepreneurship is often carried out with intra -household livelihoods and mostly with non -economic goals such as preserving livelihoods, preserving indigenous culture, protecting the environment and spiritual goals.

Knowledge of supernatural microphysical properties and revealing its relationship with the spatial temporal distribution of precipitation can significantly increase the accuracy of precipitation predictions. The main purpose of this study is to reveal the relationship between the Cloud microphysical structure and the distribution of precipitation in Khuzestan province. In this regard, first 3 inclusive rainfall events in Khuzestan province were selected and their 24-hour cumulative rainfall values were obtained. The rainfall event of 17December2006, was selected as a sample of heavy rainfall, 25 March 2019, as a medium rainfall case, and finally 27 October 2018, as a light rainfall case. Microphysical factors of clouds producing these precipitations were obtained from MODIS (MOD06) cloud product. These factors included temperature, pressure, and cloud top height, optical thickness, and cloud fraction. Finally, by generating a matrix with 64000 information codes, and performing spatial correlation analysis at a confidence level of 0.95, the relationship between the Cloud microphysical structure and the spatial values and distribution of selected precipitates was revealed. The results showed that in the case study of heavy and medium rainfall, the spatial average of 24-hour cumulative rainfall in the province was 36 and 12 mm, respectively. A fully developed cloud structure with a cloud ratio of more than 75% and a vertical expansion of 6 to 9 thousand meters, with an optical thickness of 40 to 50, has led to the occurrence of these widespread and significant rainfall in the province. While in the case of light rain, a significant discontinuation was seen in the horizontal expansion of the cloud cover in the province and the cloud cover percentage was less than 10%. In addition, the factors related to the vertical expansion of the cloud were much lower, so that the height of the cloud peak in this rainfall was between 3 to 5 thousand meters. The results of this study showed that in heavy and medium rainfall cases, a significant spatial correlation was observed at a confidence level of 0.95 between MOD06 Cloud microphysical factors and recorded precipitation values, while no significant spatial correlation was observed in light rainfall case.