Crustal deformation and strain analysis in Nepal from GPS time-series measurement and modeling by ARMA method

2018 ◽  
Vol 107 (8) ◽  
pp. 2895-2905 ◽  
Author(s):  
Kutubuddin Ansari
Keyword(s):  
Time Series ◽  
Crustal Deformation ◽  
Strain Analysis ◽  
Gps Time Series ◽  
Series Measurement ◽  
Time Series Measurement

scholarly journals Automated Time Series Measurement of Microbial Concentrations in Groundwater-Derived Water Supplies

Ground Water ◽  
2018 ◽  
Vol 57 (2) ◽  
pp. 329-336 ◽  
Author(s):  
David W. Owens ◽  
Randall J. Hunt ◽  
Aaron D. Firnstahl ◽  
Maureen A. Muldoon ◽  
Mark A. Borchardt
Keyword(s):  
Time Series ◽  
Water Supplies ◽  
Series Measurement ◽  
Time Series Measurement

scholarly journals Common Mode Component and Its Potential Effect on GPS-Inferred Three-Dimensional Crustal Deformations in the Eastern Tibetan Plateau

2019 ◽  
Vol 11 (17) ◽  
pp. 1975 ◽  
Author(s):  
Yuanjin Pan ◽  
Ruizhi Chen ◽  
Hao Ding ◽  
Xinyu Xu ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Time Series ◽  
Tibetan Plateau ◽  
Crustal Deformation ◽  
Three Dimensional ◽  
Vertical Component ◽  
Eastern Tibetan Plateau ◽  
Frequency Spectra ◽  
Common Mode ◽  
Time Frequency ◽  
Gps Time Series

Surface and deep potential geophysical signals respond to the spatial redistribution of global mass variations, which may be monitored by geodetic observations. In this study, we analyze dense Global Positioning System (GPS) time series in the Eastern Tibetan Plateau using principal component analysis (PCA) and wavelet time-frequency spectra. The oscillations of interannual and residual signals are clearly identified in the common mode component (CMC) decomposed from the dense GPS time series from 2000 to 2018. The newly developed spherical harmonic coefficients of the Gravity Recovery and Climate Experiment Release-06 (GRACE RL06) are adopted to estimate the seasonal and interannual patterns in this region, revealing hydrologic and atmospheric/nontidal ocean loads. We stack the averaged elastic GRACE-derived loading displacements to identify the potential physical significance of the CMC in the GPS time series. Interannual nonlinear signals with a period of ~3 to ~4 years in the CMC (the scaled principal components from PC1 to PC3) are found to be predominantly related to hydrologic loading displacements, which respond to signals (El Niño/La Niña) of global climate change. We find an obvious signal with a period of ~6 yr on the vertical component that could be caused by mantle-inner core gravity coupling. Moreover, we evaluate the CMC’s effect on the GPS-derived velocities and confirm that removing the CMC can improve the recognition of nontectonic crustal deformation, especially on the vertical component. Furthermore, the effects of the CMC on the three-dimensional velocity and uncertainty are presented to reveal the significant crustal deformation and dynamic processes of the Eastern Tibetan Plateau.

scholarly journals Full-field Time-series Measurement for 3-Dimensional Deformation under Welding

2010 ◽  
Vol 28 (3) ◽  
pp. 338-345
Author(s):  
Masakazu SHIBAHARA ◽  
Takahiro ONDA ◽  
Shinsuke ITOH ◽  
Koji MASAOKA
Keyword(s):  
Time Series ◽  
Full Field ◽  
3 Dimensional ◽  
Series Measurement ◽  
Time Series Measurement

216204 Time series measurement of CO_2 hydrate film thickness

2011 ◽  
Vol 2011.17 (0) ◽  
pp. 395-396
Author(s):  
Takehiko YANAI ◽  
Yutaka ABE ◽  
Akiko KANEKO ◽  
Kenji YAMANE
Keyword(s):  
Time Series ◽  
Film Thickness ◽  
Hydrate Film ◽  
Series Measurement ◽  
Time Series Measurement
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