Journal of Korean Society of Disaster and Security (한국방재안전학회논문집)

Korean Society of Disaster & Security (한국방재안전학회)
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A Study on the Bed Load Collision Sound Analysis Using Sound Sensor and Denoising Filter

음향센서와 디노이징 필터를 활용한 향상된 소류사 충돌음 분석 연구

  • Kim, Sung Uk (Graduate School of Disaster Prevention, Kangwon National University) ;
  • Jun, Kye Won (Graduate School of Disaster Prevention, Kangwon National University)
  • 김성욱 (강원대학교 방재전문대학원) ;
  • 전계원 (강원대학교 방재전문대학원)
  • Received : 2021.05.27
  • Accepted : 2021.06.21
  • Published : 2021.06.30
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Abstract

In Korea, the frequency of soil disasters has soared recently due to increased torrential rains caused by abnormal weather conditions. In particular, soil generated from mountainous areas is flowing into small rivers along valleys, depositing rivers and adding to flood damage. In order to prevent damage from such soil disasters, it is important to predict sediments and to quantitatively identify bed load. In this work, we conducted an experiment to indirectly measure acoustic sensor-based bed load collision sounds using pipe hydrophones, and compared them with raw data by applying denoising methods to improve the reliability of the measured data. As a result, we derive results in a more clear analysis of bed load estimation by correcting noise when the denoising method is applied to raw data.

우리나라는 최근 이상기후로 인한 집중호우의 증가로 토사재해의 발생빈도가 급증하고 있다. 특히 산지에서 발생하는 토사가 계곡을 따라 소하천에 유입하여 하천을 퇴적시키고 홍수피해를 가중시키고 있다. 이러한 토사재해의 피해를 예방하기 위해서는 유사량 예측 및 소류사의 정량적인 파악이 중요하다. 본 연구에서는 파이프 하이드로폰을 활용하여 음향센서 기반의 소류사 충돌음을 간접적으로 계측하는 실험을 진행하였으며, 계측된 데이터의 신뢰성을 향상시키기 위해 디노이징 방법을 적용하여 원시신호와 비교 분석하였다. 그 결과 원시신호에 디노이징 방법을 적용했을 경우 노이즈를 보정하여 소류사량 추정을 더욱 명확하게 분석하는 결과를 도출했다.

Keywords

Acknowledgement

이 논문은 행정안전부의 방재안전분야 전문인력 양성사업(C2001644-01-01)의 지원을 받아 제작되었습니다.

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