Background
As part of ongoing efforts to improve environmental performance at Dublin Airport, Anderson Acoustics conducted a detailed study investigating how different aircraft departure procedures affect community noise exposure. The project focused on comparing ICAO A and ICAO B climb profiles – the two internationally recognised procedures governing aircraft power and altitude management after take-off.
Approach
Using the FAA’s industry-standard noise modelling tool, we simulated departures for the most common aircraft types operating at Dublin Airport, including the Boeing 737-800, Airbus A320, and Boeing 777-300ER. Real-world flight data were analysed to identify which procedures airlines typically used, allowing modelled results to closely reflect actual operations.
Both event-based (SEL) and long-term average (LAeq,16hr) noise metrics were assessed to provide a complete understanding of how each procedure influences noise exposure over time.
Findings
The analysis revealed that ICAO A procedures dominate current operations, particularly during westerly conditions, and can reduce noise levels by up to 4 dB directly under the flight path. In contrast, ICAO B procedures tend to shift noise away from the airport, reducing exposure for communities located further from the runway.
Scenario testing showed that if all easterly departures adopted ICAO B, the number of dwellings exposed to noise above 60 dB LAeq, 16hr could fall by up to 12%, offering a tangible community benefit.
Outcome
By combining accurate flight-track analysis with advanced modelling, we translated complex acoustic data into clear, actionable insights. The results are supporting Dublin Airport and stakeholders in refining operational strategies that balance efficiency, safety, and community well-being - demonstrating how evidence-based acoustic analysis can work towards smarter, more sustainable airport operations.
This project highlighted our strong skills in aviation noise modelling, data analysis, and clear communication. By combining technical precision with practical, easy-to-understand insights, the team gave airport operators the tools they need to make well-informed decisions.
As a result, complex data was transformed into useful, real-world outcomes that benefit both airport operations and the surrounding communities.
