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GIS와 3차원 소음지도를 이용한 소음 노출 인구 산정 방법에 관한 연구
고준희(Ko, Joon-Hee),전형준(Chun, Hyung-Joon),장서일(Chang, Seo-Il) 한국소음진동공학회 2007 한국소음진동공학회 논문집 Vol.17 No.6
Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.
고준희(Ko, Joon-Hee),장서일(Chang, Seo-Il),손진희(Son, Jin-Hee),이건(Lee, Kun) 한국소음진동공학회 2010 한국소음진동공학회 논문집 Vol.20 No.2
The multiple regression analysis and path analysis in each dominant area of noise source are conducted to analyze the relationship between dependent variables like annoyance and independent ones such as noise and non-noise factors. The multiple regression analysis shows that impact of noise factors is the highest to annoyance in dominant areas of road traffic and railway noise. Meanwhile, impact of non-noise factors such as sensitivity and satisfaction of environment on annoyance is also high in these areas. The path analysis result for multivariate analysis between various independent and dependent variables is similar to that of the multiple regression analysis. However, noise factor is the greatest factor influent on annoyance in the dominant areas of the combined noise, and relationship between annoyance and sensitivity is the highest in combined area exposed to road traffic noise and railway noise.