Monet Wavelet Analysis of M-L >= 3 Earthquakes in the Taipei Metropolitan Area

doi:10.3319/TAO.2014.09.09.01(T)

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/29616

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/29616

Title:	Monet Wavelet Analysis of M-L >= 3 Earthquakes in the Taipei Metropolitan Area
Authors:	Chen, Kou-Cheng Wang, Jeen-Hwa Kim, Kwang-Hee Huang, Win-Gee Chang, Kao-Hao Wang, Jeng-Cheng Leu, Pei-Ling
Contributors:	應用空間資訊系
Keywords:	Seismicity Number of monthly events Morlet wavelet analysis Wavelet power spectrum Global power spectrum Dominant period
Date:	2015-04
Issue Date:	2016-04-19 19:02:09 (UTC+8)
Publisher:	Chinese Geoscience Union
Abstract:	M-L >= 3 earthquakes (M-L = local magnitude) that occurred in the Taipei Metropolitan Area (TMA) from 1973 - 2013 are selected to study the dominant seismicity period of this area. The epicentral distribution and temporal sequences of earthquake magnitudes are simply described. These earthquakes can be divided into two groups: one for events shallower than 40 km and one for events deeper than 60 km. Shallow earthquakes are located mainly in the 0 - 10 km depth range north of 25.1 degrees N, and down to 35 km for those south of 25.1 degrees N. Deep events are located in the subduction zone, with a dip angle of about 70 degrees. The Morlet wavelet technique is applied to analyze the dominant periods of temporal variations in numbers of monthly earthquakes in the shallow and deep ranges for three magnitude ranges, i.e., M-L >= 3, 4, and 5. The results show that for shallow earthquakes the dominant periods are 15.4, 30.8, 66.1, and 132.2 months when M-L >= 3 and 30.8 months when M-L >= 4; while for deep earthquakes, the dominant periods are 16.5 and 141.7 months when M-L >= 3 and 141.7 months when M-L >= 4. The dominant period cannot be obtained for both shallow and deep M-L >= 5 earthquakes.
Relation:	Terrestrial Atmospheric And Oceanic Sciences, v.26 n.2, pp.83-94
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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