• Title, Summary, Keyword: Noise prediction

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A Study for Examination of Road Noise Prediction Results According to 3-d Noise Prediction Models and Input Parameters (3차원 소음예측모델 및 입력변수 변화에 따른 도로소음 예측결과 검토에 대한 연구)

  • Sun, Hyosung
    • Journal of Environmental Impact Assessment
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    • v.23 no.2
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    • pp.112-118
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    • 2014
  • The application of a 3-d noise prediction model is increasing as a tool for performing actual noise assessment in order to investigate the noise impact of the residential facility around a development region. However, because the appropriate plans of applying a 3-d noise prediction model is insufficient, it is important to secure the reliability of the noise prediction results generated by a 3-d noise prediction model. Therefore, this study is focused on examining a 3-d noise prediction model, and a prediction equation and input data in it. For this, the 3-d noise prediction models such as SoundPLAN, Cadna-A, IMMI is applied in road noise. After the contents of road noise equations, input data of road noise source, and input data of road noise barrier are understood, the road noise prediction results are compared and examined according to the variation of 3-d noise prediction model, road noise equation, and input data of road noise source and road noise barrier.

A comparative Study of Noise Prediction Method for Road Traffic Noise Map -Focused on Foreign Traffic Noise Prediction Method- (소음지도 제작을 위한 도로교통 소음예측식 비교연구 -국외 예측식을 중심으로-)

  • Jang, Hwan;Bang, Min;Kim, Heung-Sik
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.709-714
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    • 2008
  • The various computer programs are used in computer simulation of the traffic noise prediction. But the difference or problem of calculation method used for road traffic noise prediction is not exactly investigated. In this paper, Road traffic noise is predicted on the specific regions by using four prediction methods such as XPS31-133 model(France), RLS-90 model(Germany), ASJ RTN model(Japan) and FHWA model(U.S.A.), which are operated by a program named SoundPLAN, a program to predict road traffic noise. Those prediction values are compared with a measurement value. The results show that four prediction values for taraffic noise are a little different, because of various input factors according to the prediction methods.

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A Study on the Prediction Model Development for Environmental Noise of Mugungwha Train (무궁화 열차 환경소음 예측모델 개발에 관한 연구)

  • 조준호;김재철;최성훈;이찬우;한환수
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.366-371
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    • 2004
  • For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisted. At home and abroad many studies for prediction of raiiway nearby noise have been accomplished. But it is impossible to predict easily and exactly for the Korean Railway, because the acoustic powers for each rolling stock operated in Korea have not been built yet. So in this study, prediction model equation for environmental noise for Korean rolling stock Mugungwha was suggested using SEL of engine and rolling noise component separately. In this prediction model, the number of car, distance from the rail can be considered. Finally for the validation of prediction nlodel equation, the predicted Leq was compared to the measured Leq.

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Environmental Noise Prediction of Power Plants (발전소 환경소음 예측)

  • 조대승;유병호
    • Journal of KSNVE
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    • v.7 no.4
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    • pp.621-629
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    • 1997
  • For computer aided design and costruction of low noisy power plants, indoor and outdoor noise prediction program has been developed. The program utilizes the predefined data of noise sources and building materials and has the faculty to estimate the source level using the empirical formula in case of the measured data not being available. In the noise prediction, the mutual noise propagation between indoor and outdoor sites are considered. The outdoor noise source in the calculation of geometric divergence effects is modelled as the omni-directional finite line or planar source according to the source geometry and the receiving points. Outdoor noise prediction is carried out to consider the diffraction effect due to plant structures as well as the attenuation effect due to atmospheric absorption and soft ground. The results of indoor and outdoor noise prediction for a recently constructed diesel engine power plant show good agreement with the measured.

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A Study on Comparison of Highway Traffic Noise Prediction Models using in Korea (국내 고속도로 교통소음 예측모델에 대한 비교 연구)

  • Kim, Chul-Hwan;Chang, Tae-Sun;Lee, Ki-Jung;Kang, Hee-Man
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.101-104
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    • 2007
  • All of noise prediction model have it's own features in the case of modeling conditions, so it is very important to know the features of each model case by case for a proper modeling, especially using at the Environmental Impact Assessment. For prediction of highway traffic noise and abating the noise by barriers, two kinds of prediction model, HW-NOISE, KHTN(Korea Highway Traffic Noise) has been mainly used in Korea. In this study, the features of these models were described at the same conditions. The properties of sound power from a road, diffraction characteristics from a barrier, sound pressure level decaying in each model were investigated. Using the results, it will be anticipated that the proper using of prediction models in the works of highway noise abating.

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Suggestion of Prediction Equation for Environmental Noise of Saemaeul Train (새마을 열차 환경소음 예측식 제안)

  • Cho, Jun-Ho;Koh, Hyo-In;Kim, Jae-Chul
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.2
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    • pp.156-162
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    • 2006
  • For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisited. Many studies for prediction of railway nearby noise have been accomplished. But it is impossible to predict easily and exactly for the Korean Railway, because the acoustic powers for each rolling stock operated in Korea have not been built yet. So in this study, Prediction model equation for environmental noise for Korean rolling stock Saemaeul was suggested using SEL of engine and rolling noise component separately. Finally for the validation of prediction equation, the predicted result was compared to the measured.

Suggestion of Prediction Equation for Environmental Noise of Saemaeul Trains (새마을 열차 환경소음 예측식 제안)

  • Cho, Jun-Ho;Kim, Jae-Chul;Koh, Hyo-In;Han, Hwan-Su
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.371-376
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    • 2005
  • For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisited. Many studies for prediction of railway nearby noise have been accomplished. But it is impossible to predict easily and exactly for the Korean Railway, because the acoustic powers for each rolling stock operated in Korea have not been built yet. So in this study, prediction model equation for environmental noise for Korean rolling stock Saemaeul was suggested using SEL of engine and roiling noise component separately. Finally for the validation of prediction equation, the predicted result was compared to the measured.

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A Study on the Improvement of the Road Traffic Noise Prediction for Environmental Impact Assessment (환경영향평가시 도로교통소음예측에 관한 개선방안 연구)

  • Lee, Nae-Hyun;Park, Young-Min;Sunwoo, Young
    • Journal of Environmental Impact Assessment
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    • v.10 no.4
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    • pp.297-304
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    • 2001
  • Recently the road traffic noise has appeared as a significant environmental issue because of dramatic increase of vehicles and expansion of newly constructed road. Therefore, this study proposes the method that improves prediction factors and models through analysis of the existing road traffic noise prediction model. Prediction factors can be improved by establishing guideline for diffraction attenuation and applying daily traffic discharge, peak traffic discharge, and average traveling speed through an analysis of level service. Prediction must be made by periods of one or five years during 20 years. Prediction models also can be improved to include better prediction model through setting the database, establishing functional relation between physical properties and noise levels by acoustic analysis, and developing models for road traffic noise prediction in residential areas.

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The Study for the Assessment of the Noise Map for the Railway Noise Prediction Considering the Input Variables (철도소음예측시 입력변수의 영향을 고려한 소음지도 작성 및 평가)

  • Lee, Jaewon;Gu, J.H.;Lee, W.S.;Seo, C.Y.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.4
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    • pp.295-300
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    • 2013
  • The noise map can be applied to predict the effect of noise and establish the noise reduction measure. But the predicted value in the noise map can vary depending on the input variables. Thus, we surveyed the several prediction models and analyzed the changes corresponding to the variables for obtaining the coherency and accuracy of prediction results. As a result, we know that the Schall03 and CRN model can be applied to predict the railway noise in Korea and the correction value, such as bridges correction, multiple reflection correction, curve correction must be used for reflecting the condition of the prediction site. Also, we know that the prediction guideline is an essential prerequisite in order to obtain the unified and accurate predicted value for railway noise.

Prediction of Environmental Noise in Apartment Complex (아파트 단지의 수평 및 수직 환경 소음 예측)

  • 김정태;유혜영;정형일;장동운
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.1050-1055
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    • 2001
  • A software for prediction of apartment noise level ihas been improved. The program is based on the ray tracing technique which has been widely used in the environmental noise analysis and prediction. Especially for prediction of environmental noise in apartment complex, this program is advanced in the graphics routine by bilinear interpolation. In this paper, we analyze the railway noise distribution in apartment environment and develop a 3D graphics routine for illustrating the noise level.

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