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.
Mr Mohammad Safaei, Dr Hani Rezayan, Dr Parviz Zeaiean Firouzabadi, Dr Ali Asghar Torahi,
Volume 22, Issue 65 (6-2022)
Abstract
Examining the effects of climate change on the oak spatial distribution, as the main species of Zagros forests and its ecological and economic values is of significant importance. Here, we used species distribution models for simulating current climatic suitability of oak and its potential changes in 2050 and 2070. For this purpose, five regression-based and machine learning approaches, four climatic variables related to temperature and precipitation and two optimistic (RCP 2.6) and pessimistic (RCP 8.5) greenhouse-gas scenarios were used. The results of measuring the accuracy of models by AUC indicated the good performance of all algorithms and Random Forest achieved the highest accuracy (AUC = 0.95) among other methods. The results showed that in both time periods and under both scenarios, changes will occur in oak spatial distribution and the most severe one would be a 42.9 percent loss in the oak climatic suitability in 2070 under pessimistic scenario (RCP 8.5).
