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Assessment of land use compatibility and noise pollution at Imam Khomeini International Airport

This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Kho...

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Bibliographic Details
Published in:Journal of air transport management 2014-01, Vol.34, p.49-56
Main Authors: Kiani Sadr, Maryam, Nassiri, Parvin, Hosseini, Mohsen, Monavari, Masoud, Gharagozlou, Alireza
Format: Article
Language:English
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Summary:This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Khomeini International Airport (IKIA) in Tehran. We also checked for land use compatibility with the noise levels around IKIA and the residents' reaction to the noise. The research was carried out in three stages: a) the establishment of Strategic Noise Map (SNM) scenarios of the airport operation in the years 2011, 2020 and 2030 using the INM software; b) the assessment of the results with emphasis on the study area land uses and application of RS and GIS and the exposure of residents at different levels of environmental noise; and c) the assessment of the intensity of aircraft noise annoyance at various times of day and night. The results indicated that developing IKIA together with the residential development will increase airport noise. Hence proper management and control of noise at IKIA is essential. •This study was carried out using noise mapping at Imam Khomeini International Airport (IKIA).•Residents' annoyance of aircraft noise was measured.•There is greater annoyance at night.•The expansion of IKIA, concurrent with the development of residential areas, will increase the noise problems.
ISSN:0969-6997
1873-2089
DOI:10.1016/j.jairtraman.2013.07.009