| 研究生: |
顏利宸 Yen, Li-Chen |
|---|---|
| 論文名稱: |
地震儀應用於土石流低頻地表振動監測之研究 The application of seismometer on monitoring of low-frequency ground vibrations generated by debris flows |
| 指導教授: |
黃清哲
Huang, Ching-Jer |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 水利及海洋工程學系 Department of Hydraulic & Ocean Engineering |
| 論文出版年: | 2014 |
| 畢業學年度: | 102 |
| 語文別: | 英文 |
| 論文頁數: | 60 |
| 中文關鍵詞: | 地震儀 、ES-1 、土石流 、地表振動 |
| 外文關鍵詞: | Seismometer, ES-1, Debris flow, Ground vibration |
| 相關次數: | 點閱:106 下載:7 |
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本研究目的為利用新型地震儀ES-1高靈敏度以及最低量測頻率至0.13 Hz的優點,量測土石流所產生的10 Hz以下低頻地表振動,希冀以低頻訊號經長距離傳輸後不易衰減的特性,提前偵測土石流波湧訊號,進而改善地聲檢知器(Geophone)量測範圍較小的缺點。本監測系統2013年於南投縣神木村愛玉子溪共量測到三起由2013年5月30日午後強降雨、蘇力颱風與潭美颱風所造成的強烈地表振動訊號。經鋼索檢知器與CCD攝影機相互比對後,確認2013年5月30日午後強降雨與蘇力颱風期間量測到的振動訊號為土石流所引發。在兩起土石流事件中,ES-1量測到土石流產生的最低頻率分別為4 Hz與2 Hz,突破以往土石流地表振動頻段主要在10至150 Hz的認知。在蘇利颱風事件中,由降雨資料與時頻分析比對,顯示降雨量與地表振動大小呈正相關,且土石流前端訊號於時頻譜圖上呈現指數型增加。另外,利用愛玉子溪上下游的ES-1量測的波湧時間差可估算此次土石流的平均流速。在此次土石流事件的頻域分析中,上下游儀器皆提前4分鐘量測到2 Hz訊號提升能量的現象,推估為土石流於愛玉子溪上游生成並開始流動所造成的地表震動,經由此特性,本研究可估算出土石流生成的大略位置。
本監測系統在運作期間,亦量測到其他地表震動源的訊號,分別為2013年3月27日的南投近震與2013年4月20日的中國雅安遠震。雖然本研究量測標的為由土石流所引起的地表振動訊號,但是藉由量測其他可能造成地表振動的來源,可釐清土石流地表振動與其他來源的特性差異。南投近震事件中,由於震央接近本系統測站,經時頻分析顯示,高頻地震波於短距離傳輸後仍存在,導致ES-1接收到高低頻夾雜的地表振動訊號。中國雅安遠震事件中,ES-1只量測到經過長距離傳輸後的1 Hz以下低頻震盪訊號。除了地震所引發的地表振動外,ES-1量測到午後強降雨導致河川流水增加與流水搬運河床土砂材料所造成的地表振動訊號,經時頻分析結果顯示河水與土砂材料所造成的地表振動多分布於10 Hz至60 Hz。本研究量測結果證實ES-1藉由在低頻段具高敏感度的優點,可提前量測土石流所引發的低頻地表振動訊號,亦可釐清土石流的時頻域特性。
The aim of this study is using the ES-1, a newly developed seismometer deployed along Aiyuzi Stream in Nantou County, Taiwan, to detect the low-frequency signals generated by debris flows. With the low attenuation of low-frequency signals after long distances, ES-1 is expected to improve the small detection area of a Geophone via its high sensitivity and capability of detecting low frequencies as low as 0.13 Hz to detect the ground vibration of debris flows in advanced. Strong ground vibrations were measured in the convectional rainfall event and two typhoon events. After the correlation of the CCD cameras and wire sensors, the vibration signals in convectional rain and Typhoon Soulik event were identified as being caused by debris flows. The lowest frequencies in the two events were 4 Hz and 2 Hz, respectively, which is lower than the conventional bandwidth of debris flows from 10 to 150 Hz. From the precipitation data and spectral analysis, the ground vibration had positive correlation with rainfall; further, the leading signals of the debris flows detected by ES-1 were exponentially increasing. If the 2 Hz signals were extracted for independent analysis, it could be observed that the low frequency signals were detected 4 minutes earlier both by upstream and downstream ES-1 sensors before the debris flow surges approached ES-1 sensors. This phenomenon is attributed to the ground vibrations caused by the debris flows formation and flowing at the upper reach; moreover, the approximate location where the debris flows generated can be calculated by this characteristic.
Before the summer rainy season, which spawns debris flows, the ES-1 system sensed ground vibrations from both local earthquakes and teleseism. Although the main objective of this study was detecting ground vibration from debris flows, measuring ground vibration from other seismic sources helps distinguish the characteristics of debris flow ground vibrations from others. In the event of local earthquakes, with the spectral analysis, ES-1’s spectral analysis received broad band frequency signals because of the short distance between the epicenter and the ES-1 station. In contrast, ES-1 only received low-frequency signals under 1 Hz from Ya-an in Sichuan Province of China. Besides seismic signals from earthquakes, ground vibrations from 10 to 60 Hz induced by increasing discharge and bed load transport from convectional rainfall were also detected by ES-1. From these results, the ES-1 was verified as capable of measuring low-frequency ground vibration signals generated by debris flows and clarifying the spatial-temporal frequency characteristics of debris flows.
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