Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California

Czasopismo : Acta Geophysica
Tytuł artykułu : Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California

Autorzy :
Shiuly, A
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Kumar, V
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Narayan, J.P.
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, jaypnfeq@iitr.ernet.in,
Mousavian, R.
Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, R_mousavian@yahoo.com,
Hossainali, M.M.
Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, Hossainali@kntu.ac.ir,
Wiszniowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, jwisz@igf.edu.pl,
Plesiewicz, B.M.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Trojanowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Agh-Atabai, M.
Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, maryamataby@yahoo.com,
Mirabedini, M.S.
Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, m_mirabedini89@yahoo.com,
Rashed, M.
Department of Geophysics, Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Geology Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, rashedmohamed@gmail.com,
Muduli, P.K
Department of Civil Engineering, National Institute of Technology, Rourkela, India, pradyut.muduli@gmail.com,
Das, S.K.
Department of Civil Engineering, National Institute of Technology, Rourkela, India, saratdas@rediffmail.com,
Liu, H.
School of Information Engineering, China University of Geosciences, Beijing, China, Jerryliu1103@gmail.com,
Lei, X
School of Information Engineering, China University of Geosciences, Beijing, China,
Mao, C
Research Institute of Exploration and Development, DianQianGui Oil Company, Sinopec Group, Kunming, Yunnan, China,
Li, S.
Research Institute of Exploration and Development, QingHai Oil Company, CNPC, Dunhuang, Gansu, China,
Chou, P.-Y
Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, poyi.chou@sinotech.org.tw,
Hsu, S.-M
Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, shihmeng@sinotech.org.tw,
Chen, P.-J
Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, ray@sinotech.org.tw,
Lin, J.-J.
Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, jjlin@sinotech.org.tw,
Lo, H.-C
Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, jaylo@sinotech.org.tw,
Zamani, A
Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, Iran, zamani_a_geol@yahoo.com,
Azar, A.P
Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, Iran, kolahiazar@gmail.com,
Safavi, A.A.
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran, safavi@shirazu.ac.ir,
Abstrakty : This paper presents a wavelet-based multifractal approach to characterize the statistical properties of temporal distribution of the 19822012 seismic activity in Mammoth Mountain volcano. The fractal analysis of time-occurrence series of seismicity has been carried out in relation to seismic swarm in association with magmatic intrusion happening beneath the volcano on 4 May 1989. We used the wavelet transform modulus maxima based multifractal formalism to get the multifractal characteristics of seismicity before, during, and after the unrest. The results revealed that the earthquake sequences across the study area show time-scaling features. It is clearly perceived that the multifractal characteristics are not constant in different periods and there are differences among the seismicity sequences. The attributes of singularity spectrum have been utilized to determine the complexity of seismicity for each period. Findings show that the temporal distribution of earthquakes for swarm period was simpler with respect to pre- and post-swarm periods.

Słowa kluczowe : zagrożenia sejsmiczne, klęski żywiołowe, aktywność sejsmiczna, transformata falkowa, seismic hazards, natural disasters, seismicity, wavelet transform, earthquake swarm,
Wydawnictwo : Instytut Geofizyki PAN
Rocznik : 2014
Numer : Vol. 62, no. 3
Strony : 585 – 607
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DOI :
Cytuj : Shiuly, A ,Kumar, V ,Narayan, J.P. ,Mousavian, R. ,Hossainali, M.M. ,Wiszniowski, J. ,Plesiewicz, B.M. ,Trojanowski, J. ,Agh-Atabai, M. ,Mirabedini, M.S. ,Rashed, M. ,Muduli, P.K ,Das, S.K. ,Liu, H. ,Lei, X ,Mao, C ,Li, S. ,Chou, P.-Y ,Hsu, S.-M ,Chen, P.-J ,Lin, J.-J. ,Lo, H.-C ,Zamani, A ,Azar, A.P ,Safavi, A.A. , Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California. Acta Geophysica Vol. 62, no. 3/2014
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