As one of the primitive methods for identifying using airports and runways, it is common that receiving airport operational data (AOD, detailed airport operational record including takeoff/landing time, using runways, aircraft types, aircraft carriers, origins/destinations, etc. of each aircraft operation) from the airport operator, and correlating noise events with operational information on AOD by the time difference between the maximum noise level observed time(LASmax time) at the monitoring point and the takeoff/landing time, and the geographical relation between the monitoring point and the airport. The aircraft noise evaluation value is calculated from the data identified with AOD, so this correlating process inevitably requires high accuracy.
In the case of an airport with heavy-traffic, flight density is so high that flight interval may be less than 90 seconds, and those flight patterns vary widely due to the interval and the distance. However, in general, takeoff/landing time data in AOD (AOD time) is recorded in minutes, so it is insufficient for the above method using time differences. In addition, since AOD is recorded for the sake of air traffic control and administration, such as accounting of the landing fee, there may be the cases that AOD does not include complete information such as using runways, or include wrong information such as wrong AOD time once in a while, so it has been the problem on using AOD for aircraft noise monitoring. The other hand, for an aircraft operator which provides the AOD data, it is difficult to automate recording exact information, especially takeoff/landing time, using runways, flying directions, so it needs a lot of labor.