• 환경정책연구
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• 제6권1호
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• pp.111-132
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• 2007

부산은 국내 제2의 도시로서 유동인구 및 물동량의 과다로 교통량이 폭증하여 교통 소음이 증가하는 추세에 있다. 소음지도는 이론적으로 증명된 예측식이나 실험상의 결과로 얻은 경험식 및 지리정보시스템(GIS, Geographic Information System)을 사용하여 소음의 수치와 분포를 계산하여 계절적인 변화나 시간적인 변화에 관한 데이터를 분석하여 제시하여 주는 지도이다. 소음지도는 대상지역 내의 모든 소음원에 대한 영향을 고려하기 때문에 영향 평가 시 정확한 예측이 가능하며 총괄적이고 체계적인 대안의 수립이 가능하고 지리정보시스템(GIS)과의 연계를 통하여 소음노출인구의 파악, 소음저감 대책이나 계발계획의 효율성까지도 판단할 수 있다. 국내에서는 이에 대한 연구가 몇몇 이루어지기는 하였으나 아직 표준이나 기준 확립 이전의 단계에 머물고 있다. 이에 본 연구에서는 부산시를 중심으로 현 상황에서 소음지도를 제작하여 보고 제작과정에서 발생할 수 있는 문제점이나 부족한 부분을 검토하며 소음지도의 활용에 대하여 연구하였다.

• 환경위생공학
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• 제3권2호
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• pp.43-60
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• 1988

This study was carried out to determine traffic noise level and analyze noise reduction effects of various sound protection facilities in the area of Seoul, Inch'on, Songchoo and Seoul- Busan Expressway from March to Octover, 1987. The results were as follows; 1. As compared with the environmental standards and the traffic noise level in heavy noise areas, traffic noise levels observed were shown in higher than environmental standards. The noise levels in Seoul were determined at 12.8-18.2 dB(A) in daytime and 19.0-26.9 dB (A) in nighttime. And incase of inch'on, it were 6.7-9.6 dB(A) in daytime, 7.9-18.9 dB(A) in nighttime, respectively. 2. The environmental noise level observed in the backside of protection facilities, such as apartment, soundproof barrier and houses, which were constructed in paralled to the road was lower about 3-5 dB(A) than perpendicular to theroad. Noise recuction effect of upper stairs in apartment was higher than lower stairs. 3. The predicted noise level obtained from the equation $({\triangle}L\;=\; -10\;log\;(^{I'1}/Ii)\;was\;\pm\;1dB$ (A) and the correlation coefficient (r) was 0.923. 4. The noise reduction effect in backside of apartment was measured at on sites and predicted by total noise loss equation. The predicted noise level was 60.9 dB(A) and the measured level was 60.6 dB(A), respectively. 5. The narrow width landscape less than 10m width was almost no effect for the protection of traffic noise. According to the synthesis of the above results, the noise level of the road was exceeding mostly the environmental standard in the heavy traffic areas. The counterplan should be set as well. The insulation of noise protection facilities were effective by the location with near distance from the road edge. The reduction effect of double window in apartment was represented so much. The prediction model could be applied to estimate the noise levels in the roadside as well as the effectiveness for the noise protection facilities.