Accurate predictions of aircraft noise levels are desirable to enforce noise control regulations around airports and to evaluate noise abatement procedures. The current best practice noise contour prediction models assume certain default net thrust values depending on the engine type and aircraft altitude. This paper proposes a method for calculating the engine fan settings, N 1%, (and hence, the net thrust) directly from audio recordings. This method was tested with a large number of Airbus A330-300 and Boeing 777-200 flyover audio recordings. A significant correlation was found between the recorded noise levels and N 1%, explaining up to 45% of the variability in the noise levels. Using the calculated N 1% values in the noise prediction models, instead of the default values, increases the agreement with the actual recorded noise levels and explains parts of the variability. The inclusion of accurate values of N 1% and the update of the aircraft noise prediction calculations is, therefore, highly encouraged, for example by increasing the dependency on N 1% of the noise levels.
This article presents the development of a runway allocation planning tool that seeks to maximize the permissible number of flight operations into and out of an airport within a given annual noise budget. Although the model that underlies the planning tool is generic in nature, the tool has been customized for application to a specific airport, namely, Amsterdam airport Schiphol in the Netherlands. The noise budget regulations applicable at Schiphol stipulate limits on the annual cumulative noise loads at a large number of enforcement points arranged around the airport. To ensure an equitable distribution of the cumulative noise load at the enforcement points, an efficient allocation and distribution of the annual flight movements over available runways and routes is required that takes weather induced restrictions into account. To this end, a linear programming optimization formulation has been developed that implements a minimax performance criterion that aims to minimize the maximum cumulative noise load value occurring at any of the enforcement points. The numerical results obtained for the operational year 2005 clearly demonstrate the potential of the tool to maximize the yearly number of flight movements within the assigned noise budget.
This paper presents the development of a runway allocation planning tool that seeks to maximize the permissible number of flight operations into and out of an airport within a given annual noise budget. Although the model that underlies the planning tool is generic in nature, the tool has been customized for application to a specific airport, viz. Amsterdam airport Schiphol in the Netherlands. The noise budget regulations applicable at Schiphol stipulate limits on the annual cumulative noise loads at a large number of enforcement points arranged around the airport. To ensure an equitable distribution of the cumulative noise load at the enforcement points, an efficient allocation and distribution of the annual flight movements over available runways and routes is required that takes weather induced restrictions into account. To this end, a Linear Programming (LP) optimization formulation has been developed that implements a minimax performance criterion that aims to minimize the maximum cumulative noise load value occurring at any of the enforcement points. The numerical results obtained for the operational year 2005 clearly demonstrate the potential of the tool to maximize the yearly number of flight movements within the assigned noise budget.
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