Noise Analysis of Aircraft Departure Procedures Using Monte Carlo Simulation

Abstract

During arrival and departure procedures at an airport, aircraft generate noise. High levels of noise during these terminal procedures can have a negative impact on the communities located near the airport. We assess the impact of the noise generated by a standard instrument departure of a twin-engine narrow body mid-range aircraft over the communities nearby Amsterdam Airport Schiphol, the Netherlands. During the departure procedure, we consider a stochastic flight trajectory that is subject to lateral position errors. We estimate, using Monte Carlo simulation, the distribution of the sound exposure level and of the number of awakenings generated by a departure. We also identify the residential areas where the number of awakenings are overestimated or underestimated, when comparing a stochastic and a deterministic departure approach. Lastly, we approximate the distribution of the noise level for a generic aircraft departure, which can be further employed for further optimization of departure procedures.

INS Stochastic Noise Impact on Circular Error Probability of Ballistic Missiles

“…MCS is a very useful statistical tool for analyzing uncertain scenarios and provides a deep analysis of multiple scenarios. Information gathered from random samples is used to estimate the distributions and obtain statistical properties for different situations (Smits et al, 2018).…”