GPS observations in Thailand for hydrological applications

Takiguchi, Hiroshi; Kato, Teruyuki; Kobayashi, Hidetomo; Nakaegawa, Toshiyuki

doi:10.1186/bf03352305

Cited by 25 publications

(19 citation statements)

References 16 publications

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“…Collected data are analyzed using a precise point positioning (PPP) strategy of GIPSY/OASIS-II (Zumberge et al, 1997), which has been used in many geodetical and geophysical applications (e.g. Ohtani et al, 2000;Aonashi et al, 2000;Takiguchi et al, 2000). In our previous study, we derived site coordinates for GEONET from SINEX (Software Independent Exchange Format) data provided by GSI and combined them with our own analysis results.…”

Section: Data Analysesmentioning

confidence: 99%

Strain concentration zone along the volcanic front derived by GPS observations in NE Japan arc

et al. 2014

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A nationwide GPS array with more than 1,000 permanent stations operated by the Geographical Survey Institute of Japan, has provided many invaluable deformation data such as co-and post-seismic, volcanic, and ongoing secular deformations in the Japanese islands. Based on daily coordinate data of the GEONET stations together with results from a regional network operated by Tohoku University, we derived a map of the strain rate distribution in NE Japan showing that there exists a notable strain concentration zone of EW contraction along the Volcanic Front. The area demonstrates active seismicity including some disastrous earthquakes. Recent seismic tomography studies have revealed the existence of inclined seismic low-velocity zones (LVZ) at depths shallower than ∼150 km in the mantle wedge sub-parallel to the subducted slab. The inclined LVZ reaches the Moho right beneath the Volcanic Front, indicating that the formation of the strain concentration zone is closely related to the rheological structure of the island-arc system.

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Section: Data Analysesmentioning

confidence: 99%

Strain concentration zone along the volcanic front derived by GPS observations in NE Japan arc

et al. 2014

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“…Collected data are analyzed using a precise point positioning (PPP) strategy of GIPSY/OASIS-II (Zumberge et al, 1997), which has been used in many geodetical and geophysical applications (e.g. Ohtani et al, 2000;Shoji et al, 2000;Behrend et al, 2000;Gradinarsky et al, 2000;Becker et al, 2000;Aonashi et al, 2000;Takiguchi et al, 2000;Cardellach et al, 2000). Figure 3 shows an example of time series of ITRF97 coordinates derived at station AKT0.…”

Section: Datamentioning

confidence: 99%

Strain accumulation in and around Ou Backbone Range, northeastern Japan as observed by a dense GPS network

et al. 2014

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A dense GPS network was established in 1997 around Ou Backbone Range (OBR), northeastern Japan, by deploying 28 continuous GPS stations to complement the sparse portion of GEONET operated by the Geographical Survey Institute of Japan. The aim of the network is to investigate the present surface deformation and understand the relationship between earthquake occurrence and the deformation process of the island-arc crust. Our GPS data are analyzed using a precise point positioning strategy of GIPSY/OASIS-II. Results of GEONET in daily SINEX files have been supplied by the GSI. Producing grid data of horizontal velocities and taking spatial derivatives, we derived a map of strain rate distribution. The results show that the region between 38.8• and 39.8• N in the OBR experiences notable concentration of east-west contraction. The region coincides with the area of active seismicity, including the focal areas of large earthquakes occurring in 1896 (M7.2), 1900 (M7.0), 1962 (M6.5), 1970 (M6.2), and 1998 (M6.1). Observed strain is larger than can be explained by the total moment release of earthquakes that occurred in the same period as this study. Possible sources of strain concentration may be viscoelastic deformation due to large earthquakes and/or aseismic slip along the deeper extension of the active faults.

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“…또한 Kwon et al(2007) (Bevis et al 1992;Bevis et al 1996;Duan et al 1996;Rocken et al 1995). Takiguchi et al(2000) …”

Section: 와 라디오존데 가강수량(Precipitable Water Vapor Pwv)unclassified

Analysis on Characteristics of Radiosonde Sensors Bias Using Precipitable Water Vapor from Sokcho Global Navigation Satellite System Observatory

Park¹,

Cho²,

Shim³

et al. 2016

Korean Journal of Remote Sensing

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:In this study, we compared the Precipitable Water Vapor (PWV) data derived from the radiosonde observation at Sokcho observatory and the PWV data at Sokcho Global Navigation Satellite System (GNSS) observatory provided by Korea Astronomy and Space Science Institute, for the summer of 2007~2014, and analyzed the radiosonde diurnal and rainfall-dependent bias according to radiosonde sensor types. In the scatter diagram of the daytime and nighttime radiosonde PWV data and GNSS PWV data, dry bias was found in the daytime radiosonde observation as known in the previous study and dry bias of RSG-20A sensor was larger than other sensors. Overall, the tendency that the wet bias of the radiosonde PWV increased as GNSS PWV decreased and the dry bias of the radiosonde PWV increased as GNSS PWV increased. The quantitative analysis of the bias and error of the radiosonde PWV data showed that the mean bias decreased in the nighttime except for 2007, 2008 summer. In comparison for summer according to the presence or absence of rainfall, RS92-SGP sensor showed the highest quality.

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GPS observations in Thailand for hydrological applications

Cited by 25 publications

References 16 publications

Strain concentration zone along the volcanic front derived by GPS observations in NE Japan arc

Strain concentration zone along the volcanic front derived by GPS observations in NE Japan arc

Strain accumulation in and around Ou Backbone Range, northeastern Japan as observed by a dense GPS network

Analysis on Characteristics of Radiosonde Sensors Bias Using Precipitable Water Vapor from Sokcho Global Navigation Satellite System Observatory

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