地球物理資料分析在地震學與測地學的應用;Seismological and Geodetic Applications of Geophysical Data Analysis

NCUIR > Engineering College > International Master Degree Program in Applied Materials Science(IAMS) > Electronic Thesis & Dissertation > Item 987654321/85017

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/85017

Title:	地球物理資料分析在地震學與測地學的應用;Seismological and Geodetic Applications of Geophysical Data Analysis
Authors:	庫馬;Kumar, Utpal
Contributors:	國際研究生博士學位學程
Keywords:	地震?;大地?量?;流星??波;表面波?析成像;共模?差;STADIUMpy;Seismology;Geodesy;Meteor Shockwave;Surface wave Tomography;Common-mode Error;STADIUMpy
Date:	2020-11-24
Issue Date:	2021-03-18 17:20:49 (UTC+8)
Publisher:	國立中央大學
Abstract:	地球物理觀測涵蓋廣泛的時間尺度範圍，從地震所產生能量的瞬間變化到地質時間尺度的板塊變形。本論文呈現探索不同時間尺度工具、複雜模型、資料迭代分析過程在地震學與大地測量學的應用。首先我們探索地震資料應用的過程，並使用三個研究結果來闡述與反演移動振源與地球構造的特徵性質。在第一項研究中，透過地震波和聲下波陣列數據，我們分辨出 2013 年台灣北海岸淡水鎮的神秘爆炸聲源為流星衝擊波信號，並應用基因演算法反演隕石軌跡的最佳解。在第二項研究中，針對印度最西部省份古吉拉特邦的雷利波相速度在 20 到 90 秒的寬頻範圍內進行相速度異常圖的分析，我們使用計算所得測站間的頻散曲線，將每個周期獨立地反演成高解析度均向性與隨著方位角變化的非均向性相速度圖，結果與已知同區域的地質構造特徵相當吻合。在第三項研究中，我們開發了一個全自動程式庫進行接收函數與剪力波分離的計算，唯一手動部分是使用者提供輸入參數。此程式庫從全球可用的資料中心搜尋與下載資料並分別計算接收函數與剪力波分離的結果，產生具出版品質的圖集。此程式庫已應用在 USArray 資料進行接收函數分析與德國的測站網資料進行剪力波分離測量。最後，我們對連續全球定位系統資料(CGPS)中的高振幅、長周期、空間相干共模誤差 (CME)的起源進行研究，分析台灣 47 個 GPS 測站所記錄到十年的日地殼變形資料來了解 CME 的起源，其季節性證明了氣象起源。使用經驗正交函數(EOFs)分析提取 CME，發現 CME 與時域和譜域中的大氣質量負荷位移顯著相關。;Geophysical observations, ranging from transient earthquake oscillations to tectonic deformations at geological scales, lie in a broad temporal spectrum. The work presented in this dissertation explores the asynchronous tools and models for the complex and iterative data analysis procedures applied in the seismology and geodesy. First, we explore the procedures applied to the seismic data and illustrate using three studies to characterize and invert for the moving source and the Earth structure. In the first study, the mysterious explosion sounds heard in the coastal town of Tamsui in Taiwan in 2013 was identified in the seismic and infrasound array data and characterized as a meteor shockwave signal and the trajectory of the meteor is inverted using Genetic Algorithm optimization scheme. In the second study, Rayleigh wave phase velocity anomaly maps of Gujarat, a westernmost province in India, is explored in a broad spectrum of 20-90s. The computed inter-station dispersion curves are inverted for high-resolution isotropic and azimuthally anisotropic phase velocity maps at each period independently, coinciding well with the known geological features in the region. In the third study, a fully automated package is developed (in Python) to conduct the Receiver Functions (RF) and Shear-wave Splitting (SWS) computation for the user-provided input parameters (the only manual part). The dataset is automatically searched and downloaded from all the available data centers around the world and is processed, and computed for RF and SWS results independently along with high-resolution figures. The package is applied to the USArray data for the RF analysis and the networks around Germany for SWS measurements. Finally, a study is conducted to understand the origin of the high amplitude, long period, and spatially coherent common-mode error (CME) in continuous GPS (CGPS) data. Ten years of daily crustal deformations recorded at 47 CGPS stations in Taiwan are analyzed to understand the origin of CME whose seasonality evidences meteorological origin. CME is extracted using the Empirical Orthogonal Functions (EOFs) analysis and found to be significantly correlated with the atmospheric mass loading displacements in both temporal and spectral domains.
Appears in Collections:	[International Master Degree Program in Applied Materials Science(IAMS)] Electronic Thesis & Dissertation

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