Showing 3 results for Haghzad
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.
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.
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.
