토사재해 예방을 위한 음향센서를 이용한 소류사량 추정 가능성 검토
Estimating Bed Load Discharge Using an Acoustic Sensor for Sediment Disaster Prevention
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초록
본 연구에서는 음향계측 센서인 파이프 하이드로폰을 이용하여 소류사량 추정 가능성 여부를 검토하였다. 이를 위해 홍수기 유속을 재현할 수 있도록 소규모 현장 수리실험 장치를 구축하였고, 소류사량 및 입도분포, 유속변화에 따른 충돌음 신호를 분석하여 소류사량 추청 관계식을 개발하였다. 관계식은 충돌음의 특성치에 따라 펄스 및 음압적분치 기반 관계식으로 구분된다. 관계식의 검증을위해 실제 공급 소류사량과의 비교⋅검토를 수행한 결과, 음압적분치 기반 관계식이 펄스 기반 관계식에 비해 정확도가 높은 것으로 확인되었으며 실측치 대비 약 19%의 오차율을 가지는 것으로 나타났다. 또한 추정치와 실측치 사이의 적합성을 평가하기 위한 IoA(Index of Agreement)는 0.83으로산정되어 공급 소류사량의 변동 경향과 추청치가 양호한 수준으로 일치하는 것으로 확인되었다. 향후 개발된 관계식에 추가적으로 다양한 실험조건을 고려하고, 실제 하천에 운송되는 소류사량과의 교정관계가 확립된다면 토사재해로 인한 피해예방과 국내 소류사량 데이터의 양적 및 질적 확보가 가능할 것으로 사료된다.
Abstract
This study examined the possibility of estimating bed load discharge using a pipe hydrophone, an acoustic measurement sensor. To that end, a small-scale on-site hydraulic experiment device was built, and regression equations were developed based on the analysis of collision sound signals by bed load discharge, grain size distribution, and flow velocity change. They were classified into pulse and sound pressure integral-based regression equations according to the characteristic value of collision sound. To verify the regression equations, the calculated values of bed load discharge were compared with the actual values. The results showed that the regression equation based on the sound pressure integral had a higher accuracy than the pulse-based regression equation, and the error rate compared to the measured value was approximately 19%. The Index of Agreement (IoA) was found 0.83, indicating a good agreement between the changing trend and estimated value of bed load discharge. It is believed that sediment disasters could be prevented by incorporating various experimental conditions and establishing a corrective relationship with the actual bed load discharge in the river.
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