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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100036


    Title: A new procedure to best-fit earthquake magnitude probability distributions: Including an example for Taiwan
    Authors: 王瑞斌;Wang, J. P.;Wu, Yih-Min;Huang, Duruo;Chang, Su-Chin
    Contributors: 工學院土木工程學系
    Keywords: Algorithms;Civil Engineering;Computer simulation;Earth and Environmental Science;Earth Sciences;Earth, ocean, space;Earthquakes;Engineering and environment geology. Geothermics;Environmental Management;Exact sciences and technology;Geophysics/Geodesy;Geotechnical Engineering & Applied Earth Sciences;Hazards;Hydrogeology;Law;Least squares method;Mathematical models;Maximum likelihood estimation;Maximum likelihood method;Natural Hazards;Natural hazards: prediction, damages, etc;Optimization;Optimization algorithms;Original Paper;Probability distribution;Seismic activity;Seismic phenomena;Taiwan
    Date: 2014-03-01
    Issue Date: 2026-04-21 13:46:07 (UTC+8)
    Publisher: Springer Netherlands;Dordrecht: Springer Netherlands
    Abstract: 摘要: Since the year 1973, more than 54,000 M w ≥ 3.0 earthquakes have occurred around Taiwan, and their magnitude–frequency relationship was found following with the Gutenberg–Richter recurrence law with b value equal to 0.923 from the least-square calculation. However, using this b value with the McGuire–Arabasz algorithm results in some disagreement between observations and expectations in magnitude probability. This study introduces a simple approach to optimize the b value for better modeling of the magnitude probability, and its effectiveness is demonstrated in this paper. The result shows that the optimal b value can better model the observed magnitude distribution, compared with two customary methods. For example, given magnitude threshold = 5.0 and maximum magnitude = 8.0, the optimal b value of 0.835 is better than 0.923 from the least-square calculation and 0.913 from maximum likelihood estimation for simulating the earthquake’s magnitude probability distribution around Taiwan.
    其他題名: Nat Hazards
    出版者: Dordrecht: Springer Netherlands
    出版日期: 2014-03-01
    出處: Natural hazards (Dordrecht), 2014-03, Vol.71 (1), p.837-850
    資源來源: Agricultural & Environmental Science Collection
    版權: Springer Science+Business Media Dordrecht 2013
    版權: 2015 INIST-CNRS
    版權: Springer Science+Business Media Dordrecht 2014
    識別號: ISSN: 0921-030X
    識別號: EISSN: 1573-0840
    識別號: DOI: 10.1007/s11069-013-0934-1
    識別號: CODEN: NAHZEL
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

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