應用新型地聲檢知器Raspberry Shake 3D於坡地災害監測之研究

本研究應用一量測頻寬為0.5 - 40 Hz的新型地聲檢知器Raspberry Shake 3D（簡稱RS3D）量測人工土石流的地表震動訊號，並與傳統所用的地聲檢知器（HG-6-B Coil，量測頻寬為5 - 175 Hz）所測到的結果比較。人工土石流地動訊號監測研究地點位於惠蓀林場蘭島溪土砂運移試驗站，人工土石流主要是藉由開啟能高大圳閘門，產生水流沖垮堰塞壩而產生。試驗結果顯示RS3D可量測到傳統地聲檢知器無法量測到的5 Hz以下的地表震動訊號。此外，試驗期間RS3D也記錄到一場偶發的區域地震（local earthquake）的地表震動訊號。證明此種新型地聲檢知器RS3D在監測區域地表震動訊號的表現上，已突破傳統地聲感測器（geophone）的限制。由於低頻訊號隨距離的衰減較高頻訊號慢；因此，相較於傳統的地聲檢知器，RS3D可提早偵測到會產生地表震動的坡地災害，如土石流、山崩、落石等，增加坡地災害疏散及應變時間。

關鍵字

地表震動訊號；土石流；地聲檢知器； Raspberry Shake 3D ；區域地震

並列摘要

We applied a new geophone, the Raspberry Shake 3D (RS3D), with a measuring frequency of 0.5-40 Hz to detect the ground vibrations produced by an artificial debris flow. Recorded signals were compared with those obtained using a conventional geophone with a measuring frequency of 5-175 Hz. The study site was located at the Landao Creek experimental station in Huisun Forest in Nantou, Taiwan. Water from the Nenggao Canal was guided into Landao Creek to induce a dam breach and generate the artificial debris flow. The test results reveal that the RS3D can detect ground vibration signals with frequencies lower than 5 Hz, which is beyond the capability of the conventional geophone tested. Furthermore, during the field test, the RS3D detected ground tremors from occasional local earthquake. This further demonstrates the capability of the RS3D for monitoring ground vibrations in its surrounding region. Because the decay of low-frequency ground vibrations is slower than that of high-frequency ground vibrations, the RS3D can detect slope failures, such as landslides, debris flows, and rockfalls, that generate ground vibrations earlier than the conventional geophone can. This increases the duration of evacuation and response time for disaster mitigation.

並列關鍵字

Ground Vibration Signals ； Debris Flow ； Geophone ； Raspberry Shake 3D ； Local Earthquake

參考文獻

Chang, J.M., Chao, W.A., Chen, H., Kuo, Y.T., and Yang, C.M. (2021). ‘“Locating the rock slope failures along highways and understanding their physical process using seismic signals.” Earth Surface Dynamics, 9, 505-517, http://doi.org/10.5194/esurf-9-505-2021

Chao, W.A., Wu, Y.M., Zhao, L., Chen, H., Chen, Y.G., Chang, J.M., and Lin, C.M. (2017). “A first near real-time seismology-based landquake monitoring system.” Scientific Reports. 7:43510; doi: 10.1038/srep43510

Chen, C.H., Chao, W.A., Wu, Y.M., Zhao, L., Chen, Y.G., Ho, W.Y., Lin, T.L., Kuo, K.H., and Zhang, R.M. (2013). “A seismological study of landquake using a real-time broadband seismic network.” Geophysical Journal International, 194, 885-898, doi:10.1093/gji/ggt121

Feng, Z.Y., Huang, H.Y., and Chen, S.C. (2020). “Analysis of the characteristics of seismic and acoustic signals produced by a dam failure and slope erosion test.” Landslides, 17(7), 1605-1618. doi: 10.1007/s10346-020-01390-x

Huang, C.J., Shieh, C.L., and Yin, H.Y. (2004). “Laboratory study of the underground sound generated by debris flow.” Journal of Geophysical Research: Earth Surface, 109, F01008, doi:10.1029/2003JF000048

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