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Showing 9 results for ebrahimi

Yaser Nazaryan, Amane Haghzad, Leyla Ebrahimi, Kia Abozorgmehr51,
Volume 0, Issue 0 (3-1921)
Abstract

Vulnerability is the inevitable result of risks and crises that threaten societies to varying degrees. One of the main threats is earthquakes. The recent approach to disaster management programs is to increase the resilience of communities that have different dimensions. One of them is the physical dimension of urban resilience, which is linked to the components of land use planning. In this research, with the aim of analyzing land use criteria affecting the resilience of Tabriz city and using fuzzy AHP method, research has been done.
Based on the results of the study of theoretical foundations, 13 effective criteria have been identified and the basis of action. The required data were extracted and used from maps and spatial information of urban plans, especially the detailed plan of Tabriz, Then Using ARC Map10.3.1 software, each criterion is analyzed and each criterion is presented in the form of a fuzzy map. Sum, Product and gamma fuzzy operators have been used to achieve the final resilience map. Due to the high accuracy of the gamma operator, its results are considered as the final output.
The results show that in the city of Tabriz, 2% have very low resilience, 40.8%, low resilience,15.3% moderate resilience, 23.5% high resilience and 7.2% very high resilience - based on the Used criteria-. Areas with low resilience are generally located in the north of Tabriz city and correspond to the informal settlement texture and the worn-out texture of the city, which corresponds to the fault line of Tabriz and Micronutrient and permeability are other features of these areas. Due to the high population density in these areas, it is necessary to immediately adopt the necessary programs to improve the quality of physical resilience criteria in the city.

Mostafa Karampour, Yeganeh Khamoshian Sahneh, Zohreh Ebrahimi, Hamed Heidari,
Volume 0, Issue 0 (3-1921)
Abstract

In recent years, much attention has been allocated to the study of atmospheric rivers because atmospheric rivers are massive carriers of moisture from remote areas. In this study, atmospheric rivers were studied for Iran and the neighboring countries in terms of their source of formation and their relationship and correlation with the NAO index. To study them the 1994 to 2019 data of various climatic elements such as Vwind, Function wind, NAO,, wind Shum, Meridonal wind were used. The results showed that during the study period, the ARs direction became more southerly, and jet streams played a major role in producing and determining the direction of river flow. Jetstream performance can also be used to determine the potential of an area in identifying atmospheric rivers. The highest correlation of the Transatlantic Transplant Index is with the tidal currents at the levels of 500 and 400. If the pressure centers are located in the southern part of the atmospheric rivers and the jet streams reach the eastern regions about 60 degrees, the length of the atmospheric rivers will reach more than 12,000 kilometers and  affect the eastern regions of Iran to Pakistan, Bangladesh and Afghanistan.

Kamal Omidvar, Reza Ebrahimi, Mohammad Kykhsrvy Kayani, Ghasem Lkzashkoor,
Volume 16, Issue 43 (16 2016)
Abstract

The aim of this study was to investigate the effects of global warming on where the slope changes when the monthly temperature in Iranian territory over the coming decades (2050-2015). The simulated temperature dynamic model EH5OM subset Hybrid Models atmospheric circulations (GCM) selection and data model of the Center for Theoretical Physics Salam (Italy) were derived from emission scenarios A1B scenario was chosen given the scenario of 2100 -2001 found that from 2050 to 2015 were used in this study data is then output the data in the fourth edition of the regional climate model (RegCM4) Linux environment was fine scale output data Downscaling model with dimensions of 27/0 * 27 / Degrees latitude is where the dimensions of 30 x 30 km area of ​​approximately cover the average temperature of the matrix deals 13140 2140 * was extracted. Finally, the slope of the average monthly temperature during the period under study by Mann-Kendall slope age and matrix computation in MATLAB software 13140 * 12 respectively. Results show rising temperatures in March and April to June, more than 90% of the country, that it will be spring's warmer. Increasing the temperature in the winter months and spring mountainous parts of the western half of the country is warming the cold regions of Iran. Temperature negative trend in October and November in the northern part of the eastern half of the region's countries could be indicative of colder temperatures in the northern West.


Sana Rahmani, Sayed Hossein Vahedi, Leila Abedi Far, Saleh Ebrahimi Pour,
Volume 18, Issue 50 (3-2018)
Abstract

Iran is among the countries which id most vulnerable to natural disasters, especially earthquakes. This natural phenomenon creates a disaster in an area of Iran every few years and destroys the human and financial potentials of the country and it has also irreversible mental and emotional consequences. Due to the unexpected nature of most natural disasters and the need for rapid and accurate decision-making and implementation process, fundamental and theoretical basis has created a knowledge called crisis management. Bojnord city is the center of Bojnord town in North Khorasan province and is the largest city in the province. The city is one of the high altitudes of North Khorasan and is a mountainous region from the natural perspective. Based on census population in 2011, Bojnord has a population over 207,196 people. Bojnord is one of the cities that are located in a zoning with a very high relative risk. Moses Baba fault and Dubarar-tower fault of Bojnord are located in the immediate vicinity of city and in some regions the city is built along this fault. Faults in Bojnord have been the origin of devastating earthquakes in history and are able to work once again and threaten the city which determined the importance and role of crisis management and passive defense in earthquake more than ever. In addition to the potential threat, Bojnord faults has made clear the adverse consequences arising from the filling of Bojnord plain from human habitations and the development of the city towards the fault line at a distance of 150 meters and this has also attracted attention to passive defense two times more. Therefore, identifying risk zones (faults and earthquakes) in the city can show the vital artery in low risk decision areas and zones with low risk for the construction of temporary housing camps during the crisis. Bojnord is in a bowl surrounded by mountains and down the valley. 

Mr Morad Ebrahimi, Dr Hasan Afrakhteh, Dr Hamid Jalalian,
Volume 22, Issue 67 (12-2022)
Abstract

Abstract
Although decades have passed since the introduction of a sustainable agricultural approach in the country, But the agricultural system is based on the use of non-native technologies, use of chemical inputs and Excessive exploitation of nature and Therefore, the formation and development of sustainable agriculture has faced major challenges. In this research, the researchers, considering the importance of agricultural sustainability especially in rural areas of the country and its role in maintaining the basic resources, considered the issue of agricultural sustainability In the villages of the central district of kuhdasht county and have studied and analyzed the agricultural sustainability gap in this region. For this purpose, 20 villages were selected by stratified random sampling method based on the location of the villages (plain, mountainous, and foothills), indicators of agricultural sustainability were developed and After completing the questionnaires by agricultural users, coding and data entry were performed in Excel and SPSS. Then, using the TOPSIS multivariate decision analysis, the studied villages were classified based on agricultural sustainability and They were classified into four clusters (Stable, semi-stable, unstable and very unstable) using cluster analysis. The results of the study showed that the agricultural sustainability level in the villages of this region is unbalanced in ecological, social and economic dimensions. This imbalance was seen both in the rural districts and at the level of studied villages.
Mr Alireza Thernasab, Dr Leila Ebrahimi, Dr Ameneh Haghzad, Dr Mehrdad Ramezan Por,
Volume 23, Issue 71 (12-2023)
Abstract

Today, urban and rural planning and management programs need to obtain accurate spatial information at successive times about land use changes. The main purpose of this study is to study and evaluate land use changes due to physical development with respect to 4 land uses in Bayer, agricultural lands, water zones and man-made lands in Pakdasht. Data were collected through Landsat satellite images from 2019 and 1989 captured by OLI and MSS5 sensors with a resolution of 30 m, which transformed Landsat 8 and 7 satellite images to 15 m in ENVI 5.3 software. These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. Fragstats software was then used to extract land cover metrics at two levels of the classroom and the simulator. A total of 15 landslides were quantified in the years 1989 to 2019 (1368-1688). According to the results, the area of ​​residential land has increased during the years under study so that its share has increased from %7.1 in the region to %19.5.


 
Hossein Sharifi, Mehrdad Ramezanipour, Leila Ebrahimi,
Volume 24, Issue 75 (12-2024)
Abstract

Today, human settlements around the world are exposed to natural hazards for a variety of reasons. These risks, which bring with them a lot of human and financial losses, require preventive measures. The purpose of this study is to investigate the development of urban space in order to deal with environmental hazards in Noor city. The method of this research is also descriptive. Data collection is using library and documentary studies and questionnaires. In order to analyze the questionnaires using ANP method and fuzzy logic method, evaluate each of the criteria and determine their importance coefficients. Based on the results, spatial assessment was performed using ArcGis software and hazard zones were identified. According to the results of risk potential zoning, the northern and southern areas of the city have the highest risk potential. To predict the development of residential areas, the combined Markov chain model and cellular automation were used. The results showed that the continuous expansion of built areas in recent decades has caused rapid changes in land use and the built areas of the city has increased from 2.43% of the total area in 2010 to 3.68% in 2019. The results also showed that regardless of the natural hazards, the built-up areas will increase and as a result of urbanization, the built-up areas will be more prone to high-risk lands. However, if sustainable development policies are fully implemented, cities and built-up areas will be able to maintain their development spaces from high-risk areas for the benefit of the city and its residents.
Zeinab Ebrahimighalelani, Dr Javad Khoshhal Dastjerdi, Dr Hojatolah Yazdanpanah,
Volume 25, Issue 77 (6-2025)
Abstract

plants needs a certain amount of heat at the time of planting and during its growth period, The temperature requirements of the 704 single-cross cultivar of maize in Moghan weather conditions have been found in this study to determine its temperature requirements in its different growing stages in order to investigate the feasibility of its planting in the north west regions of Iran. Daily weather statistics presenting the minimum, maximum and average temperature of 51 Synoptic stations from Meteorological Organization of Iran have been used in this study, their statistical periods range from 1 to 30 years (1365-1395), the statistics and information about 5 main phenology stages of 704 single-cross variety maize which are recorded continually in Agricultural Weather Service of Moghan station in Pars Abad from 1390 to 1391 are provided. Then the 15-day averages from April 21st to July 22nd is obtained. The relationship between the temperature and the height in the linear regression is calculated .Map of heat supply date for seed sowing in all stations from the first half of May was drawn in the GIS. The plant collective growth degree days and the number of days in every phenology phase are calculated for all of the stations and the related maps are plotted.Then,the final map plotted by combining the layers thermal, height, slope and land use in the study area. The results of this study only 27.6% of the study area is able of maize cultivating.

Mr Yaser Nazaryan, Phd Amane Haghzad, Phd Laila Ebrahimi, Phd Kia Bozorgmehr,
Volume 25, Issue 77 (6-2025)
Abstract

Urbanization and increase in urban population as a result of the natural increase in population and rural-urban migration, has led to the concentration of the highest material and spiritual human capitals in these urban settlements. At the same time, various natural and human crises threaten these capitals. Urban management has undertaken various programs to deal with these crises, and the latest approach in this regard is to increase the resilience of cities. The concept of resilience can be discussed in various physical, economic, social and environmental dimensions.
The present study with a descriptive-analytical approach and with the aim of assessing the physical resilience of Tabriz metropolitan areas and determine their status relative to each other. For this purpose, multi-criteria decision making methods (MADM) and hierarchical analysis process (AHP) have been used. Also, 3 models of TOPSIS, VIKOR and COPRAS have been used to rank regions in terms of physical resilience. Finally, the Copeland model was used to combine the results of the mentioned models. The results show that regions 2, 8 and 9 jointly have the highest physical resilience. In the next ranks are regions 1, 10, 3, 7, 5, 4 and finally region 6, respectively.

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