Spatial Analysis of Urban Land Use Map to Produce Sound Comfort Map in Hamadan

Document Type : Origional Article

Authors

1 Associate Professor, Department of Geography and Urban Planning, Faculty of Letters and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 MA in Geography and Urban Planning, Faculty of Letters and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran

3 MA in Geography and Urban Planning, Faculty of Letters and Humanities Shahid Chamran University of Ahvaz, Ahvaz, Iran

Abstract

The main objective of research is the spatial modeling of the land use map of Hamadan city to produce the noise pollution map. This research is applied in terms of purpose and descriptive-analytical in nature. Theoretical data were collected through library and research projects, statistics, existing books and articles, urban plans. Field information was also collected by observation method. In order to analyze the data, we first used the multi-variable model (FAHP) to evaluate the weight of the indicators, then the principles and criteria of neighboring criteria were extracted and identified and using the ARCGIS Tool Euclidean Distance was exploited. Generated maps do not have homogeneous units, In order to standardize is used to standardize and homogenize and also increase their flexibility from Fuzzy Membership fuzzy logic. After valuing and determining the weights, The results exert its influences in the GIS environment were affected by the Raster Calculator option in the layers, and finally using the Fuzzy overly tool with a 0.9% gamma The maps of layers in question have been integrated and spatially analyzed. The analysis of the results shows that in the area with very low risk of 7.34 percent of the total selected uses, the zone with a low risk of 6.02, a zone with a mean risk of 7.49 percent, in the zone with a high risk area of 38.67 percent of the number of 1354367035 existing uses is included.

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Main Subjects

References

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Journal of Sustainable Urban & Regional Development Studies (JSURDS)
Volume 2, Issue 2 - Serial Number 4
August 2021
Pages 127-143

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History

  • Receive Date: 08 May 2021
  • Revise Date: 20 July 2021
  • Accept Date: 04 August 2021

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