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공항주변소음도 분포특성에 관한 연구

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Author(s)
김 연 풍
Issued Date
2009
Abstract
As a result of measuring the influences of noise by airplanes around Gwangju airport using airplane noise forecast model, the following conclusions were obtained.
1. As a result of examining total 36 points of regions with noise measurement and service characteristics for 14 days (6 fixed points, 30 moving points), civil aircraft and war plane were operated with flight patterns of take-off, landing, and others (T&G, turning, and passage).
2. Frequency of flight direction at Gwangju airport runway and use rate of each runway might be different depending on the period of survey, but the frequency of flight service direction during the period of measuring noise was landing of total 570 times. 「South→North」 take-off (04 direction) was 521 times (91.4%),「North→South」take-off (22 direction) 49 times (8.6%) and of 585 times of landing, 「South→North」was 541 times (92.5%), 「North→South」 44 times (7.5%), and use rate by runway directions was evaluated as 04 direction : 22 direction=9 : 1.
Take-off and landing of 9 times a day were found at Yeosu airport.
3. The results of measuring the noise on the day of flight service at fixed measuring point of Gwangju airport showed that Sinchang village was 89.2 WECPNL, Sinyachon village 82.3 WECPNL, Songjeong village 83.0 WECPNL, Yurim village 90.2 WECPNL, Yongbo village 80.5 WECPNL, and Jangam village 92.0 WECPNL and these regions exceeded 80 WECPNL of "Na" district value of the third class district of expected noise damage.
4. Noises of Yeosu airport were 74.94 WECPNL at AN-4 point (Sinpung-ri), 72.88 WECPNL at AN-8 point and noise at take-off direction and airport adjacent regions was high.

Low noise was found at AN-10 point (Sumunpo) as 61.51 WECPNL, AN-11 point (Nochon) as 59.92 and it was thought that there was low noise when landing and at the regions distant from airport, and noise at Yeosu airport was below 80 WECPNL which is the standard of expected noise damage area because civil aircraft was flying there.
5. As a result of measuring road traffic noise as the background noise of Gwangsan-gu, road traffic noise level at daytime showed higher noise over 74dB(A) (environmental standard : 55dB(A)) at all regions where traffic volume was over 170 cars, but the road traffic noise level at night was 49.7~77.5dB(A) as traffic volumes of 20~215 cars (environmental standard : 45 dB(A)).
It was thought that road traffic noise level was over 70dB(A), exceeding the standard value and under the influence of traffic noise, but traffic noise which is the background noise on the characteristics of flight noise seemed to be neglected.
6. Flight noise evaluation model to interpret the noise space distribution used INM published by Federal Aviation Administration (FAA). As a result of analyzing correlations between results of F-5 take-off and those of INM model to verify the appropriateness of INM model, 'y = 1.0387 × Measured Result (χ)' and correlation coefficient was 0.8008. In addition, as a result of analyzing appropriateness of measured WECPNL and INM WECPNL considering the average take-off frequency and duration for the take-off situation during measured period, y = 1.0028 x Measured Result (x)' and correlation coefficient was 0.9252, and then it was judged that the results of measuring noise by INM model were enough to explain the noise of regions around Gwangju airport at present.
This study analyzed auto measurement network data managed by the Ministry of Environment beyond the security of data through scientific field survey and direct measurement, synthesized the results of the studies to enhance the objectivity and reliability of the research results, ensured the data to explain the noise situation at the regions around Gwangju airport, and it was expected that this study will provide the spatial noise distribution using WECPNL which is the evaluation level of flight noise for the flight noise impact of regions around Gwangju airport through INM model and it will be used as basic materials to establish noise reduction measures and various noise reduction methods in future.
Alternative Title
A Study on the Distribution Characteristics of Noise at the Regions around Airport
Alternative Author(s)
Kim, yeon Poong
Affiliation
전남 여수시 보건소
Department
일반대학원 환경공학과
Advisor
최 형 일
Awarded Date
2010-02
Table Of Contents
목 차
List of Tables ⅴ
List of Figures ⅷ
Abstract ⅺ

Ⅰ. 서 론 1

1.1 연구배경 1
1.2 연구목적 2

Ⅱ. 이론적 고찰 3

2.1 항공기소음의 특성 3
2.1.1 소음의 정의 3
2.1.2 주변에서 발생하는 음의 특성 3
2.1.3 항공기소음의 영향 5
2.1.4 항공기 소음의 특성 및 일반 도로교통소음의 차이 29

2.2 항공기소음의 실태 32
2.2.1 항공기 소음의 발생원 33
2.2.2 항공기소음 평가단위 39

2.3 항공기 소음과 관련한 관계법규 44
2.3.1 소음방지 대책의 수립 44
2.3.2 소음기준의 설정 44
2.3.3 소음대책 수립 44
2.3.4 공항소음 피해지역의 고시 45
2.3.5 항공기 소음의 규제 45
2.3.6 시설물 설치제한 46
2.3.7 항공기소음의 한도 46
2.3.8 공항주변의 지역구분 47
2.3.9 환경부 환경영향평가 지침상의 항공기소음 평가기준 47
2.3.10 항공소음의 피해지역 구분 및 영향 48
2.3.11 국외 항공기 소음기준 49

2.4 소음지도 50
2.4.1 소음지도의 정의 50
2.4.2 소음지도의 제작 50
2.4.3 국내 소음지도 활용방안의 모색 51

2.5 항공기 소음 공간분포 해석 53
2.5.1 INM(Integrated Noise Model)모델 53
2.5.2 INM 입력자료 구성 54
2.5.3 INM을 이용한 소음 등음선도 작성 65
2.5.4 항공기 기종별 소음분포도 비교 70
2.5.5 민군 겸용공항의 시설현황 72
2.5.6 민 ․ 군 경용공항의 운항 현황 73
2.5.7 항공기소음의 문제점 및 대책 75

Ⅲ. 측정방법 및 지점 77

3.1 공항의 특성 77
3.1.1 광주공항과 여수공항의 지리적 위치 77
3.1.2 공항연혁 78
3.1.3 공항시설 현황 79

3.2 항공기소음 측정 방법 80
3.2.1 항공기소음 측정지점 80
3.2.2 측정방법 87
3.2.3 실내소음 및 배경소음 측정 91
3.2.4 측정장비 93

Ⅳ. 결과 및 고찰 94

4.1 항공기 운항 특성 평가 94
4.1.1 운항특성 조사방법 94
4.1.2 운항특성 조사결과 95
4.1.3 실측운항횟수와 자동측정망 운항횟수 비교 99

4.2 공항주변의 배경소음 103
4.2.1 공항주변의 교통량 조사결과 103
4.2.2 광주공항주변의 배경소음 측정결과 104
4.2.3 여수공항주변의 배경소음 측정결과 109

4.3 광주공항 주변지역의 항공기소음도 110
4.3.1 고정측정지점 소음도 측정결과 110
4.3.2 고정지점 유형별 소음도 변화 결과 118
4.3.3 이동측정지점 소음도 측정결과 135
4.3.4 항공기소음 실내소음 측정결과 138
4.3.5 항공기소음 자동측정망자료 분석 139
4.4 여수공항 주변지역의 항공기소음도 144

4.5 소음분포도 작성 147
4.5.1 조사지역의 기종, 항로, 패턴별 소음 등음선도 147
4.5.2 운항방향에 따른 등음선도 153

4.6 광주공항 주변 주민피해 실태조사 156
4.6.1 일반현황 156
4.6.2 마을유형별 피해 161
4.6.3 교육시설 현황 및 소음피해 현황 164
4.6.4 특수입지에 의한 피해 168
4.6.5 마을별 소음피해 현황 170

4.7 항공기 소음저감방안 180

Ⅴ. 결 론 184

참고문헌 186

부 록 189
Degree
Doctor
Publisher
조선대학교
Citation
김 연 풍. (2009). 공항주변소음도 분포특성에 관한 연구.
Type
Dissertation
URI
https://oak.chosun.ac.kr/handle/2020.oak/8444
http://chosun.dcollection.net/common/orgView/200000239235
Appears in Collections:
General Graduate School > 4. Theses(Ph.D)
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