• Title, Summary, Keyword: 소음 지도

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A Study on the Standardization Model of Noise Map (소음오염도의 지도표현 표준화 모델)

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    • Journal of KSNVE
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    • v.10 no.3
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    • pp.410-422
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    • 2000
  • This paper proposes a model of standardized noise map in korea, The standardization of noise map is accomplished by standardizing the way of map description and by applying international noise mapping criteria to Korean environment. The proposed model can be an useful star or the production of national standardized noise map in Korea.

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Noise Analysis of Turbo Prop Aircraft(C90GT) (터보프롭 항공기(C90GT)의 소음 분석)

  • Ryu, Jong-Hyeon;Kim, Woo-Jin;Kim, Gyou-Beom
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.141-146
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    • 2019
  • The aircraft noise analysis area in this study is a training airfield where various kinds of aircraft are operated. It is difficult to identify the noise analysis as a real measurement in a training airfield. In order to overcome these practical limitations and to establish appropriate noise countermeasures, a noise map is prepared using the Integrated Noise Model Version 7.0 of the aircraft noise prediction program used by the FAA. The noise of C90GT aircraft was measured while flying the takeoff route, landing route, and long route. We want to identify areas where noise damage is more than 70 WECPNL. No area exceeding the legal standard of 70 WECPNL was found in all routes.

Assessment Method of Noise Exposed Population for Manufacture Type of Noise Map (소음지도제작방법에 따른 소음노출인구산정방법)

  • Park, In-Sun;Oh, Jong-Hwa;Park, Sang-Kyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.1129-1133
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    • 2007
  • Assessment of noise exposed population is a method for checking the degree of environmental noise and social influence in order to reduce the risks such as annoyance and disturbance that are generated by environmental noise. Also, this method suggests the preferential noise reduction policy and action plan by accurately assessing the area that noise causes harm to human health. Recently, a noise map, which can predict noise in comprehensive areas, is used for the assessment of noise exposed population, breaking from the methods using existing measures. In particular, countermeasure for the noise can be considered more effectively by using assessment methods of noise exposed population for specific noise levels, areas, and building types which are the main input factors in noise maps. In this study, Assessment methods of noise exposed population by using 2D noise map are compared with those by 3D noise map.

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A Study on Urban Noise Visualization using 3D-GIS (3차원 GIS를 활용한 도시소음 시각화에 관한 연구)

  • Ryu, Keun-Won;Kim, Geun-Han;Kim, Hye-Young;Jun, Chul-Min
    • Journal of Korea Spatial Information System Society
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    • v.9 no.3
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    • pp.17-24
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    • 2007
  • The noise problem is one of the major problems associated with large cities and is considered important factor not only in maintenance but also in development of cities. Accordingly, the noise map is being increasingly used in city planning and design. However, the existing two-dimensional noise maps only show regional, planar distribution of noise. This study presented a method to build a data model for analyzing and visualizing noise levels at fine scale considering the vertical distribution of noise in a building. By expanding the 2D topology concept used in conventional GIS to 3D, it suggested a 3D GIS data model that makes 3D spatial queries, analyses and visualization possible and applied the proposed approach to building a 3D noise information system. By building and testing the system, the study showed different functionalities including 3D spatial queries and 3D visualization of noise levels varying temporally or according as the height of sound-proof walls. In each case, the population exposed to noise was quantitatively computed to illustrate the potential in the areas of city planning and design.

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Comparison of Draft Map and Digital Map for Analysis of Areas and Populations of Excessive Noise Exposure from Noise Maps (도화원도와 수치지도를 이용한 소음지도의 초과소음노출 면적 및 인구에 대한 비교 분석)

  • Yeon, Jung-Hum;Lee, Byung-Chan
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.22 no.2
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    • pp.156-162
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    • 2012
  • This paper presents differences of road traffic noise maps were generated by using the draft map and two digital maps with different versions. As a first step, the calculation of the areas of excessive noise exposure was made for the draft map and each digital map version. Subsequently, the areas of excessive noise exposure were compared so as to determine how different from each other. Then, comparison of the populations exposed to excessive noise was also conducted in the same way. It was found that the most accurate noise map was obtained when using the combination of the draft map containing all attribute information and the digital map Ver 2.0. This result indicates that more information on the height and the number of floors of the individual building is required in order to obtain more accurate population exposed to excessive noise, thus creating a more accurate noise map.

The Study for the Realtime Noise Simulation Integration Model Applied to Traffic Simulation and Spatial Modeling (교통 시뮬레이션과 공간 모델링 기법을 적용한 실시간 소음 시뮬레이션 통합 모델에 대한 연구)

  • Kang, Tae-Wook;Cho, Yoon-Ho;Kim, In-Tai
    • International Journal of Highway Engineering
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    • v.13 no.3
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    • pp.111-119
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    • 2011
  • The noise prediction model, KRON-2006, in South Korea has been developed for obtaining the average noise level. The model is based on an outdoor sound propagation method based on ISO9613 and ASJ Model-1998 and supports the analysis of the linear noise source, such as highway, for obtaining Leq. Because of that, the model can't obtain Lmax, Lmin from the time series noise profile based on traffic at every moment. In order to address this problem, the real time noise prediction model based on traffic simulation using GIS model and algorithm is proposed. It can predict the vehicle point noise level based on vehicle type, speed generated from traffic simulation by using headway and obtain Lmax, Lmin as integrating the noise profile generated from it at every moment. An evalution of the noise prediciton model using field measurements finds good agreement between predicted and measured noise levels at 1m, 8m, 15m from curb of the near side lane.