Assessment of Ecological Capacity of Kangavar County Geographical Space Based on Natural Environment Properties

Document Type : Research Paper

Authors

1 Master of Geography, Urban Planning - Urban Environmental Tendency, Payame Noor University, Qazvin, Iran

2 Associate Professor, Department of Natural Geography, Shahid Beheshti University, Tehran, Iran

3 Assistant Professor of Remote Sensing and GIS Center, Shahid Beheshti University, Tehran, Iran

Abstract

The assessment of the ecological potential of the environment is to determine or predict the potential power and natural land use type. Environmental assessment is therefore a tool for strategic land use planning. The aim of this study was to evaluate the ecological potential of urban, rural and industrial land use in Kangavar city with an area of ​​883.9 km2 using Makhdoom ecological model. In the process of research, the required data were collected, produced and produced. After creating and combining the maps in the GIS software in a multi-hybrid way, the maps of environmental units were constructed and the ecological potential of the area was evaluated using the features of each environmental unit. To do this, the indices and variables that could be involved in each of these models were examined. To classify the ecological potential of the area for urban, rural and industrial uses and to map the power of different classes, 18 parameters were used as criteria for weighting and power determination. The results of Kangavar city's ecological assessment indicate that a 100.26 square kilometer area (11.34%) of Kangavar city is suitable for urban, rural and industrial use for 1st class. Also in the city, 483.1 square kilometers (54.64%) is quite suitable for 2nd floor. By comparing the existing and optimal land use map, it was determined that the area of ​​urban land use development in inappropriate zones is 2.5 square kilometers.

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Volume 12, Issue 1
Spring & Summer
April 2020
Pages 29-52
  • Receive Date: 28 October 2019
  • Revise Date: 27 January 2020
  • Accept Date: 27 January 2020