The volume of cargo and passenger traffic of airlines is increasing in Kaohsiung International Airport in the recent years. Due to the rise of environmental consciousness, the aviation noise pollution will lead to public disputes. The transportation bureaus have granted subsidies and compensation on noise prevention in areas around the airport, the subjects are aviation noise prevention zones announced by local governments. Therefore, the classification of aviation noise prevention zone determines the receipt of subsidies and compensation, thus, is concerned by the residents lived in the airport neighboring areas. This study focused on Kaohsiung International Airport, and used the aviation movement data of 2005 as the standard for noise integration model simulation, to understand the variation of the aviation noise in day time and night time under different synarios , as well as the effects on the scope of noise prevention zones. Take Project 1 ( annulling curfew) as an example, the INM simulation of day time and night time aviation noise under various synarios showed that the aviation noise prevention zone of the first scale expanded 10.18 km² as compared to the year of 2005, 4.57 km² for the second scale,and 1.99 km² for the third scale. The estimated Ldn in the target year of 2121 were as follows: the noise volume for susceptible objects of east 27 runway increased 4.7¡ã5.3dB(A), objects near the west side 09 runway increased 3.1dB(A), and objects near the south and north sides increased 3.3~4.8dB(A). In general, the affected area of Project 1 (annulling curfew) ranks the largest, Project 2 (maintaining curfew) the second, and Project 3 (not lengthening the runway) the smallest. As for the affected scale of the aviation noise, KueLing Elementary School and KaoFung Junior College ranked the highest, ZhongZho Elementary School the second, diesel station the lowest. Yet, the actual aviation noise should refer to the results of the noise monitoring station.

This master’s thesis discusses the impact of air traffic on our environment. The fuels combustion, the conditions necessary for realization of air traffic, or the situations resulting from it, such as aircraft maintenance, noise, emergencies, etc., have a negative impact on not only on the environment, but also on health and comfort of people, as well as flora and fauna, exposed to these conditions. Apart from the air traffic impacts on our environment mentioned above, the thesis also describes especially the possibilities of their reduction and companies dealing with them. The large main part of thesis paper is dedicated to an analysis of a new aircraft design technology, which should reduce the production of emissions in the future.

<p>  </p> <p>Aircraft noise is one of the most significant environmental concerns for the aviation industry, and it adversely affects the physical and mental health of community members who are in close proximity to airports. The operations and expansion of airports and land use planning are affected because of the community’s adverse reaction to such annoyances. Aircraft operations and fleet mix information are required when airport managers and stakeholders execute the Aviation Environmental Design Tool (AEDT) to compute the noise metrics; however, these data are unavailable from over 2,000 United States non-primary General Aviation (GA) airports that lack full-time air traffic control facilities or personnel. </p> <p>This study developed a low-cost noise assessment technology for non-towered GA airports. The Automatic Dependent Surveillance-Broadcast (ADS-B) messages were obtained using an inexpensive ADS-B receiver. A barometric pressure calibration was applied to improve the aircraft operations estimation. A fleet mix database was created by linking the collected ADS-B data to an FAA-registered aircraft database containing U.S.-registered aircraft information (such as types of aircraft and engines). Specific aircraft information was obtained by filtering the International Civil Aviation Organization (ICAO) identification code from the obtained ADS-B records. A set of 20 advanced aircraft performance parameters was constructed to determine the operation mode and corresponding power setting. The corresponding noise levels were determined using the EUROCONTROL Aircraft Noise and Performance (ANP) database.</p> <p>The testing and validation results from the case study at the Purdue University Airport (ICAO Code: KLAF) demonstrated the developed low-cost approach could identify aircraft noise events, and the accuracy of modeled noise data was assessed with an average error of 4.50 dBA. Therefore, the developed approach appears to be an affordable means of monitoring aircraft noise at non-towered GA airports.  </p>