Volume 2, Issue 1 (Spring 2021 2021)
JGSMA 2021, 2(1): 1-21 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ebrahimi S, Rahmani Fazli A, Azizpour F. Assessing the Adaptation Capacity of Rural Settlements Around Lake Urmia (The Case of: Miandoab County). JGSMA 2021; 2 (1) :1-21
URL: http://gsma.lu.ac.ir/article-1-111-en.html
URL: http://gsma.lu.ac.ir/article-1-111-en.html
1- PhD in Department of Human Geography and Landuse Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran. , Ebrahimi_s2010@yahoo.com
2- Associate Professor in Department of Human Geography and Landuse Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
3- Associate Professor, Department of Human Geography, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran.
2- Associate Professor in Department of Human Geography and Landuse Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
3- Associate Professor, Department of Human Geography, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran.
Abstract: (3551 Views)
Today, in order to adapt to real or expected stresses and to deal with natural consequences and crises (drought, floods, earthquakes, etc.), attention to the adaptation capacity of human settlements, especially in rural areas, is of paramount importance. Therefore, the purpose of this article is to investigate and assess the capacity of adaptation of rural areas to the drying of Lake Urmia in Miandoab county. This research was applied in terms of descriptive-analytical method and library and field studies were used to collect data. 15% of the villages of this city were selected as a statistical population using the three criteria of rural household number, geographical distribution and natural location, and then 330 households were selected as the sample size using the Cochran's formula. Data were analyzed using one-t-test, Coopras decision model, cluster analysis and Mooren I statistic in GIS software. The results showed that 10% of the villages (three villages of Gol Soleimanabad, Tazehkand Hasloughoubi and Haji Hassan) with high adaptation capacity, 67/6 at medium adaptation level 33/13 at low adaptation level and 67/66 of the villages - which includes 20 sample villages - were in a very low position in terms of adaptive capacity to the drying up of Lake Urmia. In addition, the spatial pattern of adaptation capacity indicators in Miandoab city according to Mooren I statistic follows a random pattern and villages that have access to sufficient water resources and capital and quick access to Miandoab city have a higher adaptation capacity and in The total adaptation capacity of the studied villages is at a moderate to low level.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
