The purpose of this article is to analyze the frequency and severity of the one to six days of rainfall in Iran. The trend of frequency changes and severity of each course was identified using my-candle test and the slope estimator during the 1968-1988 period. Then, using the main component analysis method and cluster analysis method, the entire stations were categorized in five clusters (abundance) and four (intensity) based on the annual changes of frequency indicators and intensity of precipitation. Cluster 1 and 2 stations represent the frequency of precipitation periods with a severe or without trend. The two clusters were mostly established in the southern half of Iran. Cluster 4 and 5 stations represent the frequency of precipitation periods with a positive (mild) trend, mainly in the northern part of the country. Cluster 3 stations represent the frequency of precipitation periods with decreased (mild) trends, which are mostly focused on west and southwestern Iran. The clustering results of the stations based on the intensity index of precipitation periods, contrary to many results; do not show a specific pattern. But in the cluster, there has been a severe decrease in the last half century. The stations of this cluster are mostly concentrated in the northern parts of the country. Other clusters are scattered in almost all parts of the country. Accordingly, it can be concluded that the frequency of precipitation periods in the northern latitudes of incremental processes (average or weak) and the severity of precipitation periods in these latitudes (north of the country) had severe declining trends.

Keywords: Frequency of precipitation, intensity of precipitation, analysis of main components, clustering, process.
 

Cities are open systems that constantly change and bring about changes in inside and outside neighboring areas. With the rapid growth of urban population in the world, cities sprawl and occupy surrounding lands. In this situation, attention to the developments inside urban space could be a key principle in urban planning. The aim of this study was determining and prioritizing economic, social and ecological factors which influence inside urban space indicators in City of Gorgan using Delphi method and literature review. Following the increase in population, developments inside urban space in the future is inevitable. Understanding and recognition of this process is essential to effective management in the field of conservation of the urban environment. Four expertize requirements should be taken into account: knowledge and experience of the field of study; ability and willingness to participate; adequate time to participate; and effective communication skills. Experts’ panel included fifteen specialists from municipality, city council, academics, cultural and medical service providers, police, urban planners and citizens, whose points of view were collected using questionnaires. Data collection for questionnaire was repeated 4 times to reach a consensus. Overall, twenty - four factors were identified for the economic, social and ecological factors, and then the degree and percentage of importance for each one was determined. Results showed that the most important indicator is feeling of security followed by the noise pollution and environmental pollution. Results could be helpful to urban planners and related organizations to improve inside urban space for welfare and life quality of citizens. Prioritization of these indicators provides an appropriate action agenda for the managers.

The purpose of the present study is to assess the land surface temperature in relation to landuse for the city of Tabriz using remote sensing technology and GIS. Landsat 8 satellite image was used to map the land surface temperature for the study area. Atmospheric correction was applied to the desired image using the FLAASH method and the land surface temperature was estimated using the split-window algorithm for the study area with an accuracy of 1.51 degrees. Landuse map of Tabriz city in 6 classes was obtained using the object-based approach in eCognition software with an accuracy of 90/03. The results of studying the relationship between land surface temperature and landuse indicate that agricultural lands with a temperature of 18.22 °C have the highest land surface temperature. Also, water areas (rivers) have the lowest (10.30 °C) land surface temperature, because of their radiant power close to one. The research results also indicate that the split-window algorithm provides reliable results for land surface temperature estimation that can be used in environmental studies and earth sciences.

 Assessing and predicting future climate change is of particular importance due to its adverse effects on water resources and the natural environment, as well as its environmental, economic and social effects. Meanwhile, rainfall is also an important climatic element that causes a lot of damage in excess conditions. West Azerbaijan Province is no exception. The aim of this study is to model and predict 30 years of rainfall in West Azerbaijan province. The statistical period studied is 32 years (2019-1987). Selected stations in the province include Urmia, Piranshahr, Takab, Khoy, Sardasht, Mahabad and Mako stations. Average slider time series models, Sarima (seasonal Arima), Health Winters were used for analysis and prediction and also linear regression and Mann-Kendall test were used to determine the data trend. The results show an increasing trend of precipitation in Urmia, Piranshahr, Khoy, Sardasht and Mako stations and a decreasing trend in Takab and Mahabad stations. According to the results of comparing the models used, the Health Winters model with the least error in the absolute mean of deviations, mean squared deviations and the percentage of absolute mean errors was introduced as the best precipitation forecasting model for West Azerbaijan province. province.                                     [A1] 

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The purpose of this study is to present a model of religious tourism based on the art of taziyeh in Kashan based on structural equation modeling, based on a mixed exploratory approach. In the qualitative part, the phenomenological method was used and in the quantitative part, the descriptive method, correlation based on structural equations was used. The statistical population of this research in the qualitative part included professors and experts in tourism and condolence in Kashan, which was obtained after 15 saturated interviews. In order to evaluate the validity of qualitative data, structural, external, descriptive and interpretive validity were used and in order to evaluate the reliability, the three approaches of Rao and Perry (2003) were used. The results of qualitative research were extracted from 11 economic, strategic, development, research, organizational, technical, content, environmental and advertising dimensions. After examining the extraction of components, the quantitative part of the research was examined. Factor and content validity were used to evaluate the validity. The reliability of the questionnaire was used from Cronbach's alpha, which had the necessary reliability. Available was selected. The data obtained from the questionnaires were analyzed at two levels of descriptive and inferential statistics, including structural equations, through SPSS 22, LISREL 18.9 and Warp PLS 5 software. Findings showed that the most impact was economic dimension (impact factor 0.86) followed by cultural dimension with (0.79) and strategic dimension with (0.78).
 

Relative humidity is considered to be one of the most important climatic parameters and atmospheric phenomena. The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast.

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.

In arid and semi-arid regions, groundwater is more important for humans and ecosystems than surface water. Land subsidence is caused by the pumping and uncontrolled use of groundwater in an area. When the extracted quantities are not replenished by rainfall, it leads to damages such as road failures, destruction of residential areas, railways, as well as water and gas pipelines. The Yazd-Ardakan plain is one of the main plains in Yazd province, hosting 75% of the province's population density and most industrial centers. Additionally, this plain has been subjected to a ban by the Ministry of Energy due to a sharp decline in groundwater levels. This study aimed to quantify and compare the extent of subsidence using four Synthetic Aperture Radar (SAR) images of the C-band from the Sentinel-1 satellite and the radar differential interferometry method from 2017 to 2021. The maximum subsidence recorded in 2017 was 13 cm, while in 2020 and 2021, it decreased to 9 cm, primarily concentrated in the Shamsi region between Meybod and Ardakan. Furthermore, to validate the satellite-derived results, they were compared with those obtained through accurate leveling methods conducted by the Iran National Cartographic Center. The study revealed that Sentinel images exhibit a strong capability to estimate the extent of subsidence. Considering the examination of groundwater consumption and depletion statistics in recent years, potential reasons for the reduction in subsidence in the study area could be attributed to management measures such as water transfer to this basin, alterations in agricultural practices, and a decrease in groundwater depletion compared to previous years in this region.

Ancient cities have always possessed inherent distinctions from contemporary cities, which are evident in their physical structures and overall layouts, allowing them to be easily differentiated from their modern counterparts. These distinctions, influenced by economic, political, cultural, and social conditions, have resulted in varying degrees of change in the urban structure and have given rise to two types of urban growth. Organic growth is characterized by a continuous and coherent expansion that prioritizes form in relation to function, in stark contrast to the fragmented and discrete nature of global cities in the modern era. This study seeks to address whether it is feasible to apply the characteristics and developmental patterns of ancient cities in today's world by examining the evolution of urban form throughout history up to the present day. Alternatively, can a favorable outcome be achieved by integrating certain characteristics of ancient cities into contemporary urban environments? Based on this objective, the study explores the evolution of urban form across three historical periods - pre-Islamic, post-Islamic, and the modern era - with a particular focus on the establishment of governmental centers in the central desert of Iran. The comparative method of induction is employed to discuss the subject matter in line with the research assumptions. The findings indicate that the first and second hypotheses have yielded more significant results in a greater number of unsuccessful experiments. Conversely, the third hypothesis has been more successful in a wider range of experiments with diverse outcomes. Moreover, considering the success rate of 0.100 and the absence of unsuccessful experiences for the Kerman experiment, it can be argued that this hypothesis is relatively superior and preferable for assessing the success rate of related projects.

In the creation of urban space, there is always an exchange of ideas about what the space is now and how it should exist, by those who live in that place. So improvement in its harsh reality is realized in some of their thoughts in the form of a physical change in the current environment - and urban regeneration is one such form. Considering the increase in the number of urban regeneration projects in recent decades, it is very important to pay attention to the social dimensions in it. On this basis, social capital, as one of the social potentials of the neighborhood, is a concept that has gained special importance in regeneration. Considering the necessity of the subject, this research has analyzed the role of social capital on the regeneration of urban neighborhoods. The applied research method is descriptive-analytical in nature and the main goal of this research is to analyze the role of social capital in the regeneration of Islamabad Karaj neighborhood among the residents of the neighborhood. In this regard, the data collection in the theoretical part was based on the documentary method and in the practical part, the survey was based on the questionnaire. The statistical population of this research is made up of people over 15 years of age living in a neighborhood of over 25,000 people using a simple random sampling method, so a sample of 410 people was selected from this population using Cochran's formula. For data analysis, Spearman's correlation coefficient and multiple linear regression were used using spss software. The results showed a strong correlation between social capital and urban regeneration in Karaj neighborhood of Islamabad. The implications of this research on the relationship between social capital and urban regeneration increase the need to pay attention to the components of social capital and adopt policies to maintain and promote it in order to ensure successful urban regeneration in the neighborhood of Islamabad Karaj.

The intermediate development approach suggests that empty lands and the inner destructive structure of cities should be targeted for development instead of taking the peripheral lands of the cities under construction. Considering this importance, in this article, an attempt has been made to identify and prioritize the obstacles to the intermediate development of Zabol using Chang’s technique. The present applied study employed a descriptive-analytical research method and library and survey research (field studies) data collection techniques. The statistical population for identifying the obstacles of intermediate development consisted of all the residents of Zabol city in 2023. The sample size was calculated as 384 via Cochran’s formula. The purposive sampling method was employed to collect the data. Cronbach’s alpha coefficient calculated the research instrument’s reliability as 0.80. The obstacles were identified using a sample t-test in SPSS, and the upcoming obstacles were prioritized. The required data were collected from the existing facts of the city and through a questionnaire distributed among 20 related experts. Then, data and information were analyzed using Chang’s technique (AHP-FUZZY). The research results showed that the most important obstacle to implementing the intermediate development plan of Zabol city is the economic index, with a final weight of 483.
 

Drought is a natural hazard that annually causes significant economic, social, environmental, and life-threatening damage in vast areas of the Earth. The damages caused by this phenomenon are intangible but very extensive and costly, which, if necessary, remote sensing techniques can be a useful tool in monitoring drought due to high temporal accuracy, wide spectral coverage, ease of access, no need for atmospheric correction and ground referencing. In recent years, the province of Hamedan has faced many problems due to frequent droughts. Therefore, the present study focused on investigating and monitoring drought in Hamedan province using the Temperature Condition  index and its impact on the vegetation cover of the province using Advanced Very High Resolution Radiometer (AVHRR) and National Oceanic and Atmospheric Administration (NOAA) remote sensing data. First, the relevant data was extracted from the Nova star database, and finally, the spatiotemporal behavior of the vegetation cover drought index was examined on 1528 pixels in Hamedan province. The spatial resolution of the data used in this study is 4 kilometers.  First, the relevant data were extracted from the Navstar database and ultimately, the spatiotemporal behavior of the drought index and vegetation cover was examined. The results indicate that drought has significantly increased the vegetation cover of Hamedan province based on remote sensing data. Kendall's coefficients indicate the presence of decreasing trends in vegetation cover at a 95 Percent confidence level. Only in May, June, and December has there been a slight decrease in vegetation cover within the extent of drought in the province. The spatial behavior analysis of the drought index on vegetation cover showed that February, March, as well as April have experienced more severe droughts within Hamedan province.