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Aircraft noise modelling and trajectory optimisation for reduced environmental impacts at major Australian airports

机译:飞机噪声建模和轨迹优化,以减少澳大利亚主要机场的环境影响

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摘要

The requirements set by the most important Air Traffic Management (ATM) research initiatives (SESAR and NextGen) and environmentally sustainable aviation research initiatives (Clean Sky, and Environmentally Responsible Aviation), aim at lowering operating costs and improving the environmental sustainability of aviation. In line with these requirements, the methodology of using noise modelling and simulation techniques in conjunction with Demographic Distribution Database (D3) and Digital Terrain Elevation Database (DTED), allows the development of novel approaches and algorithms for aircraft trajectory optimisation in the present and likely future airspace scenarios and, in particular, in proximity of airports and densely populated areas. Aircraft noise modelling in major Australian airports is essential in order to understand the noise impacts associated with air traffic, determining the Australian Noise Exposure Forecasts (ANEFs) and to assist in effective airport planning strategies. Based on the statuary requirements prescribed, the aircraft trajectories are optimised to minimize the effects of noise around the airports considering both population and digital terrain data. The key mathematical models for noise and trajectory optimisation are presented. The objective of the noise modelling process is to describe the noise parameters currently adopted for airport design and operations, and to predict values for all relevant future scenarios. Noise analysis and impact mitigation measures are discussed. Quantification of noise at the major Australian airports, including Sydney and Melbourne airports is presented.
机译:最重要的空中交通管理(ATM)研究计划(SESAR和NextGen)和环境可持续的航空研究计划(“清洁天空”和“环境责任航空”)设定的要求旨在降低运营成本并提高航空的环境可持续性。符合这些要求,将噪声建模和仿真技术与人口统计分布数据库(D3)和数字地形高程数据库(DTED)结合使用的方法,可以开发出新颖的方法和算法来优化飞机轨迹,目前并可能未来的空域场景,尤其是在机场和人口稠密地区附近。为了了解与空中交通相关的噪声影响,确定澳大利亚噪声暴露预测(ANEF)并帮助制定有效的机场规划策略,澳大利亚主要机场的飞机噪声建模至关重要。根据规定的法规要求,考虑到人口和数字地形数据,对飞机轨迹进行了优化,以最大程度地减少机场周围的噪音影响。提出了用于噪声和轨迹优化的关键数学模型。噪声建模过程的目的是描述当前在机场设计和运营中采用的噪声参数,并预测所有未来相关情景的值。讨论了噪声分析和减轻影响的措施。介绍了澳大利亚主要主要机场(包括悉尼和墨尔本机场)的噪声量化。

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