2021
DOI: 10.1007/1345_2021_135
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Time Variations of the Vertical Component in Some of Japanese GEONET GNSS Sites

Abstract: We analyze the vertical component of GEONET GNSS measurements in Central Japan and clarify in some of the sites the origin of large annual time variations, as well as the secular variations. Many of these vertical movements may be attributable to the use of groundwater for agriculture, for snow melting, industrial, and hospital usages, etc. and the pumping up of the groundwater mining for refining natural gas and iodine at the production area of natural gas dissolved in water. For this reason, highly accurate … Show more

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Cited by 2 publications
(5 citation statements)
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“…Thus, the atmospheric load is too small to explain the discrepancy between observed vertical displacements and expected displacements due to snow. Geodetic investigations of groundwater from snow melt along roads in the Niigata area have also indicated significant subsidence (Morishita et al., 2020; Sato et al., 2003; Shimada et al., 2021). Additionally, the impoundment of dams might affect vertical displacement, but its contribution is much less than snow and atmosphere (Heki, 2004).…”
Section: Estimation Of the Spatiotemporal Surface‐load Distributionmentioning
confidence: 99%
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“…Thus, the atmospheric load is too small to explain the discrepancy between observed vertical displacements and expected displacements due to snow. Geodetic investigations of groundwater from snow melt along roads in the Niigata area have also indicated significant subsidence (Morishita et al., 2020; Sato et al., 2003; Shimada et al., 2021). Additionally, the impoundment of dams might affect vertical displacement, but its contribution is much less than snow and atmosphere (Heki, 2004).…”
Section: Estimation Of the Spatiotemporal Surface‐load Distributionmentioning
confidence: 99%
“…We note that any seasonal changes in the time‐varying amplitudes (Cleveland et al., 1990; Köhne et al., 2023) should be examined in a future study. Furthermore, careful consideration must be taken to exclude the effects of both groundwater (Morishita et al., 2020; Sato et al., 2003; Shimada et al., 2021) and snow accretion on the GPS antenna (Heki & Jin, 2023; Larson, 2013; Larson et al., 2015) from the vertical displacements when estimating the spatiotemporal distribution of the surface load. Note that Heki and Jin (2023) proposed a method to discriminate fake signals due to snow accretion from real subsidence.…”
Section: Estimation Of the Spatiotemporal Surface‐load Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…This suggests that the observed GNSS vertical subsidence includes loading sources other than the snow mass, which is obtained from the snow depth. For example, geodetic investigations of groundwater from snow melt along roads in the Niigata area have indicated significant subsidence (Morishita et al, 2020;Sato et al, 2003;Shimada et al, 2021). Or the displacement measurements may be incorrect because of the accumulation of snow on the GNSS pillar and/or radome covering the antenna, thereby impeding the GNSS signals and enhancing signal scattering effects (Jaldehag et al, 1996).…”
Section: Surface-load Evaluationmentioning
confidence: 99%
“…We note that any seasonal changes in the timevarying amplitudes (Cleveland et al, 1990;Köhne et al, 2023) should be examined in a future study. Furthermore, careful consideration must be taken to exclude the effects of both groundwater (Morishita et al, 2020;Sato et al, 2003;Shimada et al, 2021) and snow accumulation on the GPS antenna (Larson, 2013;Larson et al, 2015) from the vertical displacements when estimating the spatiotemporal distribution of the surface load.…”
Section: Surface-load Evaluationmentioning
confidence: 99%