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Study on the Optimal Location Selection for Environmental Noise Monitoring Systems

환경소음측정망 최적 위치선정에 관한 연구

  • Shin, Sangmun (Department of Industrial & Systems Management Engineering, Dong-A University) ;
  • Won, Jeongwoo (Department of Industrial & Systems Management Engineering, Dong-A University) ;
  • Kim, Hwail (Department of Industrial Health, Catholic University of Pusan)
  • 신상문 (동아대학교 산업경영공학과) ;
  • 원정우 (동아대학교 산업경영공학과) ;
  • 김화일 (부산가톨릭대학교 산업보건학과)
  • Received : 2013.11.29
  • Accepted : 2014.06.30
  • Published : 2014.07.31

Abstract

A number of problems associated with environmental noises in urban areas have significantly been considered. Specific measurement and estimation of the environmental noise became a primary issue in local governments. Environmental noise monitoring system is required in order to estimate and verify the a city noise map. However, current monitoring positions may not perfectly represent and incorporate many different view points, such as districts of a city, different utilizations of a city by the law, populations, and classifications and traffics of roads. In addition, scientific method to provide specific noise monitoring positions my not be avaliable in current literature. For this reason, the primary objective of this paper is to propose a new method for introducing a number of monitoring positions in the entire city. First, the quality function deployment (QFD) method was utilized to simultaneously represent both districts and utilizations of a city. Second, a new algorithm to find a number of monitoring positions was proposed by compromising many different view points: populations, classifications of roads and areas, and traffics of roads. Finally, the proposed monitoring positions and a sample noise map was provided for verification purposes. Based on these results, the proposed algorithm including the QFD concept may successfully provide specific noise monitoring positions by simultaneously consider may different view points and requirements of a city.

Keywords

References

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