台灣北中南區二十公里深最強地震圓弧雙交叉分析：交叉幾何特性對強震預測效果之影響;Analysis of SDICAE with depth within twenty kilometers at Northern,Central,and Southern Taiwan：the efficiencies of strong earthquake prediction corresponding to different geometric features of the intersections.

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Title:	台灣北中南區二十公里深最強地震圓弧雙交叉分析：交叉幾何特性對強震預測效果之影響;Analysis of SDICAE with depth within twenty kilometers at Northern,Central,and Southern Taiwan：the efficiencies of strong earthquake prediction corresponding to different geometric features of the intersections.
Authors:	陳崴駿;CHEN, WEI-CHUN
Contributors:	土木工程學系
Keywords:	最強地震圓弧雙交叉;地震預測;the strongest double intersection of the circular arcs of earthquakes;earthquake prediction
Date:	2023-08-17
Issue Date:	2024-09-19 14:44:05 (UTC+8)
Publisher:	國立中央大學
Abstract:	本研究將台灣二十公里深的極淺層地殼分為三區，即北區(北緯24度至25.5度)、中區(北緯23度至24.8度)和南區(北緯21.7度至23度)。在以上的分區當中，我們探討最強地震圓弧雙交叉的各種幾何性質對強震預測效能的影響，這些幾何特性包括半徑比、長軸方向角、端弧比、分叉弧長比和兩端分叉對稱比。經分析發現，最強地震圓弧雙交叉的這些幾何特性對提升短期(70 天內)和中短期(160 天內)的強震(規模大於5.7)預測命中率有不錯的效果。;In this study, we separate the extremely shallow crust within a depth of 20 kilometers in Taiwan into three geographical regions, the Northern Region (latitude 24 to 25.5 degrees North), the Central Region (latitude 23 to 24.8 degrees North), and the Southern Region (latitude 21.7 to 23 degrees North). Then we investigate the impacts of several geometric features of the strongest double intersection of the circular arcs of earthquakes (SDICAE) on the efficiencies of the strong earthquake prediction.The geometric features include the radius ratio, the direction angle of the long axis, the ratio of the arc length of the ends, the ratio of the branched arc lengths, and the ratio of the symmetries of the branched arc lengths of the ends. It is found that these geometric features of the SDICAE contribute to increase the accuracy of prediction of strong earthquakes with a magnitude greater than 5.7 in both the short term (within 70 days) and the medium short (within 160 days).
Appears in Collections:	[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

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