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http://dx.doi.org/10.21729/ksds.2021.14.2.43

A Study on the Bed Load Collision Sound Analysis Using Sound Sensor and Denoising Filter  

Kim, Sung Uk (Graduate School of Disaster Prevention, Kangwon National University)
Jun, Kye Won (Graduate School of Disaster Prevention, Kangwon National University)
Publication Information
Journal of Korean Society of Disaster and Security / v.14, no.2, 2021 , pp. 43-50 More about this Journal
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.
Keywords
Hydrophone; Bed load; Denoising; Sound signal; Pulse;
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  • Reference
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