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Chi-Chi Earthquake-caused Landslide: Grey prediction Model for Pioneer Vegetation Recovery Monitored by Satellite Images

集集大地震崩塌區:衞星影像監測先鋒植被恢複之灰預測模式

摘要


本研究應用多期SPOT衞星遙測資料評估集集大地震九份二山崩場區植被恢複之速度。灰色理論亦被應用於預測先鋒植被完全覆蓋非岩石崩場區所需之時間,並與線性問題回歸、指數回歸與多相式回歸分析做比較。當傳統三種回歸分析預測完全恢複分別須要5.2年、1.6年與3.4年時,灰預測需要2.0年,根據崩場區現場地真調查顯示,九份二山崩場區植被恢複之速度可能跟隨灰預測模式,亦即 x(k+1)=72387.143e^(0.4704).而此恢複過程顯示有一個的二個月之遲滯期。

並列摘要


We applied multiple SPOT satellite remote sensing data to evaluate the recovery rate of vegetation in the Chiu-Feng-Er mountain landslide area after the Chi-Chi Earthquake. The grey theory was also applied to predict the time required for pioneer vegetation to completely reclaim the non-rock landslide area, and this was compared with the results of linear, exponential, and polynomial regression analysis. While complete recovery of vegetation may take 5.2, 1.6 and 3.4 years predicted by the linear, exponential, and polynomial regression analyses, respectively, it may take 2.0 years according to grey analysis. On the basis of ground investigation, the recovery process of pioneer vegetation in Chiu-Feng-Er Mountain landslide may follow the equation of the grey prediction model, i.e. x(k+1)=72387.143e^(0.4704). This recovery process exhibited a lag phase of approximately two months.

被引用紀錄


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Lahousse, T. (2012). 運用物件導向影像處理方法於崩塌製圖研究 台灣白石集水區的個案 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.02444
蔡東融(2010)。有機耕作年期對土壤與蔬菜之影響〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2010.02631
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薛怡珍(2005)。地景動態變遷預測模式之研究-以台大實驗林和社地區為例〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2005.00538

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