Prediction of Airport Noise Using CadnaA Model and GIS: Case Study of IKIA Airport

The issue of airport noise pollution is of paramount importance to communities in the vicinity of airports.
The potential effects of aircraft noise at the Imam Khomeini International Airport (Iran) was investigated by employing remote sensing and the geographic information system (GIS) in conjunction with an optimization algorithm integrated with CadnaA software. CadnaA is a computer model used to develop noise exposure maps (NEMs) to determine how noise affects a specific area. The results of aircraft noise modeling with this software for three scenarios (in 2015, 2025 and 2035) are provided in the NEMs. A georeferenced GIS database was built in Envi software comprising topography and land use data, the results of the CadnaA model and project data. These maps were overlaid. Face-to-face interviews were carried out by canvassing door-to-door in the permitted survey sites near IKIA and by structural modeling of the questionnaire estimates using AMOS.7 software.
The results showed that the CadnaA model well simulated and predicted noise changes in different scenarios. The results of the map overlay indicate the compatibility of existing land use around the IKIA airport with noise levels and provided alerts against the development of residential areas in the near future.
The results of the questionnaires indicate a high LDEN correlation coefficient and irritation levels from aircraft noise. Urban development around the airport as well as an increase in the number of flights and runways at IKIA should be carefully studied.