Showing 72 results for دما
Ms Asieh Asgari Dastnaei, Dr Amir Gandomkar, Dr Morteza Khodagholi,
Volume 0, Issue 0 (3-2007)
Abstract
Teleconnection patterns represent large changes that occur in the pattern of atmospheric waves and tornadoes and affect temperature patterns in large areas and are also used to predict average weather conditions over time periods, usually several months or annually. In this study, the effects of 26 Teleconnection patterns with the average monthly maximum temperature on a quarterly and annual basis were investigated. In this study, 4 synoptic stations of Borujen, Shahrekord, Lordegan and Koohrang in Chaharmahal and Bakhtiari province were analyzed. Data were analyzed using descriptive statistics, correlation and Mann-Kendall test. The results showed that the patterns of PNA, WP, NAO, SOI, TNA, TSA, WHWP, Niño 4, NP, Trend, AO, AAO, AMO, AMM, NTA, CAR and GMLO have a positive relationship with all stations studied and The patterns of EA WR, Niño 3, ONI, MEI V2, Niño 1 + 2, Niño 3.4 and TNI had a negative relationship with all studied stations.
Dr Hassan Kharajpour, Dr Zahra Hejazizadeh, Dr Bohloul Alijani, Dr Mohammad Hossein Nasserzadeh,
Volume 0, Issue 0 (3-2007)
Abstract
Considering the undeniable impact of agricultural plants on climatic and regional changes, it seems necessary to conduct regional research to understand the reaction of each agricultural plant in different stages of growth in relation to weather elements. If the temperature of the air along with the warm cloud is lower or higher than a certain threshold, its development will stop. Between the two limits, there is an optimal temperature where the plant grows the fastest. Temperature and clouds are both the most important climatic elements in agriculture. Both climatic parameters together cause stress in wheat and lower the productivity of the product. Considering the strategic nature of wheat, in order to increase the level of production, in the present research, while taking advantage of the experiences and methods and models used in foreign and domestic researches, it was practical in Kermanshah province due to the extent of the land under wheat cultivation and The significant amount of production, which has a special place in this field at the level of the country, the determination of the statistical threshold and the synoptic analysis of warem cloud temperatures on the performance of the wheat crop are investigated. According to the investigations and consultations with agricultural engineers, the maximum temperature along with cloudy days causes the phenomenon of greenhouse and excessive heat, which causes the fall of flowers, rot, sterility of pollen grains, fruit reduction, Premature aging and poverty become seeds, and this phenomenon occurs mostly in the months of May and June.
Aliakbar Salaripour, Benyamin Hasanzadeh Baghi, Amirhossein Nourbakhsh, Zahra Seif Reyhani,
Volume 0, Issue 0 (3-2007)
Abstract
In today's world, due to the pervasiveness of the Internet and electronic information, one of the tasks of urban management is to improve the quality of life of citizens, their access, and the optimal use of urban electronic services. These services can help improve the geographical situation of the city due to reducing the need for physical movement of citizens, reducing
traffic and pollution and increasing access to services.
However, if the urban management fails to use and implement this type of service properly, there will be a negative attitude towards e-services for citizens. The purpose of this research is to evaluate the impact of urban management performance on the quality of life and the behavioral intention to use urban electronic services with an emphasis on citizen satisfaction in Mashhad metropolis. In this research, through library studies, literature review and previous researches, 67 indicators (items) have been extracted and categorized in the form of 19 components. After calculating the statistical sample size of the research through Cochran's formula, 478 questionnaires were distributed among the citizens of Mashhad. Finally, the components were evaluated using structural equation modeling with partial in Smart PLS3 software. Findings indicate that the citizens of Mashhad are moderately satisfied with the components and study subjects. The results obtained from structural equations show that The "Communications" component with a path coefficient of 0.87 affects the performance of urban management and the "Work facilitation" component with a path coefficient of 0.841 affects citizens' satisfaction with electronic services. The performance of urban management with a path coefficient of 0.717 affects the citizens' satisfaction with electronic services. Also, these two factors affect the quality of life with 0.58 and 0.252, respectively, and satisfaction with electronic services affects behavioral intention with 0.757. The urban management of Mashhad can pay attention to the results obtained from this research to achieve a city with desirable and satisfactory electronic services.
Phd Student Farahnaz Khoramabadi, Master Seyyed Abolfazl Masoudian, Assistant Professor Mohammad Sadeq Keykhosravi Kiani,
Volume 0, Issue 0 (3-2007)
Abstract
Global warming is one of the most challenging climatic phenomena of the current era, accompanied by a rise in the average temperature of the Earth's oceans and land over the past few decades. This study provides a comprehensive analysis of the temporal and spatial changes in Iran's maximum temperature over the last four decades, using ERA5 reanalysis data.
Daily maximum temperature data was extracted from ERA5 products in HDF5 file format and processed using the Python programming language. For data analysis, Principal Component Analysis (PCA) was used for dimensionality reduction, and Ward's clustering method was employed to determine homogeneous climatic regions based on the similarity of weather elements. The long-term mean maximum temperature for the country during this period was estimated at 24.2∘C, with a range of variation from −0.4∘C to 53.7∘C. The results from smoothing the data's time series showed a significant temperature jump around the year 1998, which led to an increase in the mean maximum temperature from 23∘C to 25∘C. In the spatial dimension, the maximum temperature was directly influenced by topography, altitude, and latitude. The southern and southeastern regions were identified as the warmest, while the high-altitude areas of the west, north, and northeast were the coolest. The results of the PCA showed that the first two components explained more than 78% of the spatial variance and 93% of the temporal variance, respectively. This indicates the existence of consistent and interpretable climatic patterns. Additionally, the Ward's clustering analysis, which divided the data into five distinct clusters, reflected the diversity of temporal behavior of the maximum temperature across the country.
Engineer Laya Khoddamabbasi, Dr. Ahmad Jameei,
Volume 0, Issue 0 (3-2007)
Abstract
The expansion of urbanization and the replacement of natural surfaces with artificial materials lead to temperature rise and the formation of the urban heat island (UHI) phenomenon, which results in consequences such as increased energy consumption, intensified air pollution, and threats to public health. This study aims to identify the factors influencing UHI and propose strategies to mitigate its impacts. The research was conducted using a systematic review and descriptive-analytical approach. To this end, relevant scientific articles and studies were examined, and the collected data were analyzed and categorized. The findings revealed that the key factors intensifying UHI include dense urban geometry, neglect of sustainable green facades and rooftops, improper and inefficient building mass design, use of materials with high thermal capacity and low albedo, reduced quality and efficiency of transportation infrastructure, loss of vegetation cover and surrounding natural ecosystems, shortage of water bodies, and ineffective natural ventilation in urban fabrics. The proposed strategies are divided into two scales. At the urban scale, optimizing urban design by regulating the height-to-width ratio of streets, creating wind corridors, and developing sustainable transportation infrastructure play a significant role in improving ventilation and reducing temperature. Expanding green and blue spaces through evapotranspiration processes and preserving natural ecosystems around cities help moderate environmental temperatures and improve air quality. At the building scale, the use of cool materials with high albedo, effective thermal insulation, green roofs and walls, and double-skin facades reduces heat transfer and enhances energy performance. Overall, the results indicate that integrating modern technologies, local strategies, and sustainable urban management can simultaneously reduce environmental temperatures, optimize energy consumption, and improve the quality of urban life.
Miss , Mrs Farzaneh Sasanpour, Dr Ben Jarihani,
Volume 0, Issue 0 (3-2007)
Abstract
Urban ecological resilience in the Tehran metropolis is one of the most important focuses of urban policy-making due to climatic and environmental challenges. The present research was conducted with the aim of analyzing Tehran's ecological resilience based on regulating ecosystem services and environmental and human variables. To this end, the Multiscale Geographically Weighted Regression (MGWR) model and the eleven-fold City Resilience Index (CLI) were employed.
The results showed that vegetation cover (NDVI), with a positive coefficient and small dispersion, has a uniform and determining effect on the CLI, confirming the importance of greenery in enhancing urban ecological resilience. The per capita green space showed a small positive coefficient, indicating a limited but significant impact on resilience, which suggests its unbalanced distribution across neighborhoods. Geomorphological variables, such as land slope and the rate of land subsidence, showed a consistently negative effect on the CLI. Transportation infrastructures, particularly the distance from the metro and BRT (Bus Rapid Transit), had a positive relationship with the CLI, although this relationship likely reflects population density and economic activities along high-traffic corridors.
In terms of air quality, showed a significant negative effect, while and had a slight positive effect on the CLI; showed no significant impact. Pearson's correlation results indicated no correlation higher than between the variables and the CLI, suggesting the complementary and multi-factorial role of environmental and physical indicators in shaping urban resilience.
In total, the findings suggest that enhancing Tehran’s urban ecological resilience requires a systemic and multi-dimensional approach. Policy-making in this area should focus on inclusive greenery development, redesigning compact urban fabrics, and developing green and sustainable transportation.
Dr Taghi Tavousi,
Volume 0, Issue 0 (3-2007)
Abstract
This study aims to evaluate the indoor environmental quality of urban buildings and their compatibility with the local climate of Zahedan. To this end, faculty housing units at the University of Sistan and Baluchestan were selected as case samples. Climatic data—including temperature, relative humidity, wind, and solar radiation—were analyzed over the period from 1982 to 2024. Solar angle, altitude, and intensity were calculated using mathematical functions, forming the basis for a monthly bioclimatic calendar of Zahedan, developed according to three criteria: air circulation within buildings, physical activity, and clothing type. The findings indicate that by adjusting factors such as window position and clothing, thermal comfort can be achieved throughout the year. In colder months, solar radiation and warm clothing contribute to indoor comfort, while in warmer months, gentle airflow through open windows enhances livability. Designing residential interiors in harmony with the local climate not only improves occupant comfort and health but also offers economic benefits by reducing energy consumption.
Fatemeh Nami Fard, Alireza Entezari, Abdolreza Kashki, Mohammad Baaghideh, Malihe Zaferanie,
Volume 0, Issue 0 (3-2007)
Abstract
This study was conducted to examine the relationship between specific climatic parameters, namely ambient temperature and air pollution, and behavioral abnormalities—including aggression and impulsive behaviors—among children diagnosed with Autism Spectrum Disorder (ASD). The research was carried out in Khorasan Razavi Province, Iran, and the statistical population comprised children with ASD aged 4 to 13 years who attended daily educational–rehabilitation centers dedicated to individuals with ASD. From this population, a total of 186 children were selected through convenience sampling. Data on behavioral variables were collected using three standardized instruments: the Shaheem Children’s Aggression Questionnaire (2006) to assess levels and dimensions of aggressive behavior; the Hirschfield Impulsivity Scale (1965) to measure impulsivity traits; and the Gilliam Autism Rating Scale (1994) for confirming ASD diagnosis and severity. Simultaneously, climatic and air quality information—covering daily ambient temperature and concentrations of key air pollutants—was obtained from reliable local meteorological and environmental monitoring stations. The results demonstrated statistically significant relationships between both temperature and air pollution levels with the severity of aggression and impulsive behaviors in children with ASD. Higher temperatures and increased air pollutant concentrations were associated with elevated behavioral abnormalities. These findings underscore the importance of incorporating environmental and climatic considerations into the clinical management, educational planning, and rehabilitation program design for children with autism. Furthermore, they highlight the need for interdisciplinary collaboration to develop strategies aimed at mitigating the adverse behavioral impacts of climatic and environmental stressors on vulnerable pediatric populations.
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Volume 4, Issue 4 (6-2005)
Abstract
, Mohammad Hossein Nasserzadeh,
Volume 6, Issue 8 (6-2007)
Abstract
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Volume 11, Issue 20 (6-2011)
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Volume 11, Issue 20 (6-2011)
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Volume 11, Issue 20 (6-2011)
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Volume 11, Issue 22 (1-2012)
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Volume 13, Issue 28 (6-2013)
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Volume 14, Issue 32 (6-2014)
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Volume 14, Issue 33 (9-2014)
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Volume 14, Issue 35 (3-2015)
Abstract
Yosouf Ghavidel Rahimi, Manochehr Farajzadeh, Mehdi Alijahan,
Volume 15, Issue 36 (6-2015)
Abstract
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.
Ahmad Mazidi, Mahdi Narangifard,
Volume 16, Issue 40 (3-2016)
Abstract
Expansion of urban areas has impacted on climate in local and global scale. As a result, residents’ life would be influenced accordingly. In this study, the effects of changes in land cover and land use change on climate of Shiraz and Fasa were studied in a long-term period. To ensure the normal data, Kolmogrov-Smirnoff test was employed. The minimum and maximum temperature parameters and relative humidity were evaluated using non-parametric Mann-Kendall and regression method in a 45-year period (1966-2010). The results showed a decreasing trend for the minimum temperature and humidity for Fasa and minimum and maximum relative humidity for Shiraz whereas other quantities showed an increasing trend. The study examined the effects of land use changes and land cover types in the 23-year period (1987-2010) using images of LANDSAT satellite of TM sensor on temperature pattern in two cities. During these 23 years, a reduction of 113 square kilometers for barren land of Shiraz and 5/7 square kilometers for barren land of Fasa and extending 110 kilometers residential users and 3/5 square kilometers in Shiraz and Fasa were reported.
