Detection of Earth’s Free Oscillations Stimulated by the Mw8.3 Okhotsk Sea Earthquake in 2013 Based on Observational Data of Water-Tube Tiltmeters in Shaanxi Province

2014 ◽  
Vol 568-570 ◽  
pp. 198-202
Author(s):  
Xiao Yi Shao ◽  
Ying Chang Wang ◽  
Xi Chun Xing
Keyword(s):  
Observational Data ◽  
Estimation Method ◽  
Monitoring Network ◽  
Deformation Monitoring ◽  
Shaanxi Province ◽  
Earth Model ◽  
Okhotsk Sea ◽  
Free Oscillations ◽  
Water Tube ◽  
Earth’S Free Oscillations

Using power spectrum density estimation method, analyzed the digital observational data of water-tube tiltmeters of Shaanxi deformation monitoring network in 6 seismic stations as QL, HZ, HY, BJ, XA and NQ, which detected the earth’s free oscillations stimulated by the Mw8.3 Okhotsk Sea Earthquake in May 24th, 2013. The results show that radical shock of spherical oscillation (0S05~0S32), harmonic spherical oscillation (3S01, 1S04, 2S04, 1S06) and toroidal oscillations (0T05~0T09) are detected effectively. Comparing the period of the extracted oscillation with that the theoretical oscillation of the Preliminary Reference Earth Model (PREM), finding that they are accordant with each other and the relative error is less than 0.2%. And the result is consistent with the CDSN Urumqi observatory recorded in M8.1 Kunlun Mountains Earthquake in 2001.

Earth’s Free Oscillations Excited by the 2013 Okhotsk Sea Earthquake

2018 ◽  
Vol 54 (11) ◽  
pp. 1595-1603 ◽  
Author(s):  
V. K. Milyukov ◽  
M. P. Vinogradov ◽  
A. P. Mironov ◽  
A. V. Myasnikov
Keyword(s):  
Okhotsk Sea ◽  
Free Oscillations ◽  
Earth’S Free Oscillations

scholarly journals Preliminary result of the Earth's free oscillations by Galerkin method

2007 ◽  
Vol 3 (S248) ◽  
pp. 409-410 ◽  
Author(s):  
M. Zhang ◽  
B. Seyed-Mahmoud ◽  
C. L. Huang
Keyword(s):  
Boundary Conditions ◽  
Galerkin Method ◽  
Normal Modes ◽  
Earth Model ◽  
Tau Method ◽  
Free Oscillations ◽  
Earth’S Free Oscillations ◽  
The Difference

AbstractWe use a Galerkin method to compute the eigenfunctions and eigenperiods of some of the Earths spheroidal and toroidal modes. The boundary conditions are treated using a Tau method. We show that for a realistic Earth model the difference between the computed and observed periods is less than 1.4%. We conclude that a Galerkin method may be an effective tool for the studies of the Earth's normal modes.

scholarly journals Comparison of fluid tiltmeter data with long-period seismograms: Surface waves and Earth's free oscillations

2006 ◽  
Vol 111 (B11) ◽  
pp. n/a-n/a ◽  
Author(s):  
A. M. G. Ferreira ◽  
N. F. d'Oreye ◽  
J. H. Woodhouse ◽  
W. Zürn
Keyword(s):  
Surface Waves ◽  
Free Oscillations ◽  
Long Period ◽  
Earth’S Free Oscillations

scholarly journals Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations

2020 ◽  
Vol 13 (3) ◽  
pp. 1517-1538
Author(s):  
Charlotte Bürki ◽  
Matteo Reggente ◽  
Ann M. Dillner ◽  
Jenny L. Hand ◽  
Stephanie L. Shaw ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Organic Matter ◽  
Organic Carbon ◽  
Functional Groups ◽  
Method Development ◽  
Estimation Method ◽  
Chemical Species ◽  
Monitoring Network ◽  
Ftir Spectra ◽  
Absorption Bands

Abstract. The Fourier transform infrared (FTIR) spectra of fine particulate matter (PM2.5) contain many important absorption bands relevant for characterizing organic matter (OM) and obtaining organic matter to organic carbon (OM∕OC) ratios. However, extracting this information quantitatively – accounting for overlapping absorption bands and relating absorption to molar abundance – and furthermore relating abundances of functional groups to that of carbon atoms poses several challenges. In this work, we define a set of parameters that model these relationships and apply a probabilistic framework to identify values consistent with collocated field measurements of thermal–optical reflectance organic carbon (TOR OC). Parameter values are characterized for various sample types identified by cluster analysis of sample FTIR spectra, which are available for 17 sites in the Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring network (7 sites in 2011 and 10 additional sites in 2013). The cluster analysis appears to separate samples according to predominant influence by dust, residential wood burning, wildfire, urban sources, and biogenic aerosols. Functional groups calibrations of aliphatic CH, alcohol COH, carboxylic acid COOH, carboxylate COO, and amine NH2 combined together reproduce TOR OC concentrations with reasonable agreement (r=0.96 for 2474 samples) and provide OM∕OC values generally consistent with our current best estimate of ambient OC. The mean OM∕OC ratios corresponding to sample types determined from cluster analysis range between 1.4 and 2.0, though ratios for individual samples exhibit a larger range. Trends in OM∕OC for sites aggregated by region or year are compared with another regression approach for estimating OM∕OC ratios from a mass closure equation of the major chemical species contributing to PM fine mass. Differences in OM∕OC estimates are observed according to estimation method and are explained through the sample types determined from spectral profiles of the PM.

scholarly journals Stellar Image Location with Maximum Correlation Procedure

1995 ◽  
Vol 166 ◽  
pp. 363-363
Author(s):  
Zhu Zi
Keyword(s):  
Observational Data ◽  
Estimation Method ◽  
Positional Accuracy ◽  
Maximum Correlation ◽  
Single Star ◽  
Mathematical Performance ◽  
Location Methods ◽  
Photoelectric Technique ◽  
Correlation Procedure ◽  
Stellar Image

The location method and accuracy analysis has become a very important subject in astrometry since the photoelectric technique was widely applied. The location methods of the stellar images observed with the slit micrometer are discussed in this paper, and a new estimation method called the maximum correlation procedure is presented. This procedure has already been used to process and analyze the observational data. Because of the ideal mathematical performance of the correlation function, the procedure provides us a good way to determine image locations. By means of simulated observations according to the theoretical analysis, we find that the locating accuracy and the limiting magnitude for this method is much higher than those of traditional locating method. For the observational data of about one thousand stars obtained with the Photoelectric Astrolabe at Yunnan Astronomical Observatory, the positional accuracy of a single star using the maximum correlation is improved by 0.045 arcsec over that with the median. The maximum correlation procedure has also increased the data reduction ability for faint star observations with very low signal to noise ratios.

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