Showing 3 results for ebadi
Sohrab Amirian, Masoud Safaeipour, Mr Hassan Hosseini Amini, Mr Hossein Ebadi,
Volume 20, Issue 56 (3-2020)
Abstract
Vulnerability can be considered as an inherent defect in particular dimensions of the urban environment that is susceptible to damage due to its biological and physical characteristics or design features. Therefore, the present study aimed to investigate Ahwaz city structures and fine-tune its vulnerability from a passive defense perspective and to move it towards the future prospects of a safe city. This research is applied in terms of purpose and in terms of descriptive-analytical methodology based on the spatial-model studies approach. The data of this study include 11 educational, fire, administrative, police, power lines, terminals, urban facilities, business centers, roads, urban industries, gas transmission centers and health centers. GIS software was used to analyze the research data. Therefore, distance maps were designed and standardized for measuring the neighboring pattern after identifying the effective layers in the vulnerability and using the Distance tool. The FUZZY OVERLAY tool in ArcGIS software was used for spatial distribution and micro-zoning of Ahwaz vulnerability. The results show that in the section of vulnerability zoning, 29.73% of the city area is completely vulnerable, 29% vulnerable, 21.18% moderate, 13.22% low and 6.85% of the total city area in the state of vulnerability, respectively. There is very little reception.
Fariba Esfandiary Darabad, Masoud Rahimi, Khodadad Lotfy, Ebadi Elhameh,
Volume 20, Issue 57 (6-2020)
Abstract
So that the morphological and transverse changes of the Ghezelozan River have been evident in recent years and caused some problems. In this study, the detection of river side changes was carried out using satellite imagery of TM and OLI Landsat 5 and 8 in the period 1993 to 2013, during which an interval of 158 km from the Ghezelozan River, using the transect method evaluated. The channel duct was divided into 24 transects based on morphology and the process of change. The average migration rate of the Gezelozan River duct has been around 4.47 m / year over the past 20 years. The highest transhumance rate between 1993 and 2013, at 10.58 m / year, is related to transect 16, resulting in 52.51 hectares on the right bank of the river. Overall, the results show that during the period 1993 to 2013, close to 207.14 hectares was added to the right bank of the river and nearly 215.31 hectares from the right bank were decreased. Also, in this study, sinusoidal index was used to study the shape of the duct flat, based on which there are 15 sinusoidal transects.
Mrs Zahra Ebadi Nehari, Dr Mahdi Erfanian, Mrs Sima Kazempour Choursi,
Volume 23, Issue 68 (3-2023)
Abstract
Drought is a complex phenomenon caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although the drought indices deriving from remote sensing data have been used to monitor meteorological or agricultural drought, there are no indices that can suitably reflect the comprehensive information of drought from meteorological to agricultural aspects. In this study, the synthesized drought index (SDI) as a synthesized index from the vegetation condition index (VCI), temperature condition index (TCI) and precipitation condition index (PCI) were used for comprehensive drought monitoring in the Urmia Lake Basin (ULB) based on the Principal Component Analysis (PCA). For this purpose, MOD13A3, MOD11A2 and TRMM 3B43 data series were downloaded y for the period of 2001–2012. After initial processing, drought indicators were calculated using LST NDVI and TRMM data, and monthly drought severity maps were prepared. In order to validate SDI index, the Correlation relationship between SDI and SPI indices was obtained in the 3 month period during the growing season. As well as, SDI correlation relationships were investigated with wheat and barley crop yields. The results indicate that drought occurred in 2008 and 2001 in the ULB. The results of validation show that there is a correlation of 80% between the two SDI and SPI indicators. Also, the results of this study showed that the SDI index, as a comprehensive index of drought monitoring, reflects the effects of drought on agriculture.
