The rapid development of industry results in large energy consumption and a negative impact on the environment. Pollution of the environment caused by conventional energy sources such as petrol leads to increased demand for propulsion systems with higher efficiency and capable of energy-saving and emission reduction. The usage of hybrid technology is expected to improve energy conversion efficiency, reduce energy consumption and environmental pollution. In this paper, the simulation platform for the hybrid unmanned aerial vehicle (UAV) has been built by establishing the subsystem models of the UAV power system. Under the two chosen working conditions, the conventional cruise flight mission and the terrain tracking mission, the power tracking control and Q-Learning method have been used to design the energy management controller for the hybrid UAV. The fuel consumption and pollutant emissions under each working condition were calculated. The results show that the hybrid system can improve the efficiency of the UAV system, reduce the fuel consumption of the UAV, and so reduce the emissions of CO 2 , NO x , and other pollutants. This contributes to improving of environmental quality, energy-saving, and emission reduction, thereby contributing to the sustainable development of aviation. exposure to traffic-related air pollution shows association with adverse cardiovascular problems [17,18]. An increased risk of several types of cancers has been link to the working environment of aircraft crew with increased levels of known or suspected carcinogenic elements such as engine emissions, poor air quality, and ionizing radiation [19]. Neurodegenerative diseases as well as the potential to cause type-2 diabetes and leukemia were documented to be potential effects of air pollution [20,21]. Combination of traffic-related air and noise pollution was examined and it was shown that exposure to both may result in cardiac autonomic dysfunction where the effect of air pollutants is amplified at a high noise level [22]. Moreover, air pollution was associated with an increase in the number of hospitalizations due to chronic obstructive pulmonary disease in European cities with versatile climates [23,24]. The need for reduction in consumption of the conventional aviation fuel is therefore one of the key issues being addressed at the national level as it leads to lessening overall impact on the environment and on public health.More attention has been paid to environmental problems of air traffic, the United States and the European Union [25] have put forward new requirements for the next generation of commercial aircrafts, focusing on fuel consumption, noise control, pollution emissions and other aspects, and have formulated specific development objectives [26]. National Aeronautics and Space Administration (NASA) proposed a performance target [27] of reducing fuel consumption, emissions reduction, and low noise for subsonic airliners in 2008, which is divided into three phases: phase 1 to 2015 (n + 1), phase 2 to 2020 (n + 2), and pha...

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This article presents an innovative application of the frequency domain decomposition method based on an acoustic and vibration response. Frequency domain decomposition method has been frequently used for operational modal analysis testing in the last decade to identify modal parameters for in-situ case studies. For these studies, the outputs of the vibration response through accelerometers have been employed in the analysis. In this article, the frequency domain decomposition method is employed, for the first time, to analyze both acoustic and vibration response of the building which is a novel application in building vibration response. As a case study, a cylindrical shaped seven-story building, which appears to be subjected to a vibration problem, was selected. In this research, both acoustic and vibration responses are captured to determine the source of this unknown excitation. The results show that using microphones, as an acoustic response, can be as reliable as accelerometers to identify forced vibration.

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