2016
DOI: 10.1007/s10712-016-9375-1
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Present-Day Crustal Vertical Motion Around the Ordos Block Constrained by Precise Leveling and GPS Data

Abstract: Precise leveling data observed in the period of 1970-2014 around the Ordos block were collected and processed to estimate present-day crustal vertical movement. Vertical rates of 6 GPS sites were employed as a priori constraints to define the reference frame. The velocity field shows that the interior of the Ordos block moves upward at a rate of 3 mm/a as a stable block. With respect to the central Ordos, the grabens and rifts around the Ordos block are undergoing subsidence, while the northeastern and southwe… Show more

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Cited by 35 publications
(36 citation statements)
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“…Parts of the leveling data in Hao et al (2016) are included. First-order leveling observations were also collected from the National Administration of Surveying, Mapping and Geoinformation (NASMG) resurveyed in 2013, and 500 km leveling routes in the west of the Ordos block observed in 1985/1986/1994 and resurveyed in 2017 and 2018.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…Parts of the leveling data in Hao et al (2016) are included. First-order leveling observations were also collected from the National Administration of Surveying, Mapping and Geoinformation (NASMG) resurveyed in 2013, and 500 km leveling routes in the west of the Ordos block observed in 1985/1986/1994 and resurveyed in 2017 and 2018.…”
Section: Methodsmentioning
confidence: 99%
“…First-order leveling observations were also collected from the National Administration of Surveying, Mapping and Geoinformation (NASMG) resurveyed in 2013, and 500 km leveling routes in the west of the Ordos block observed in 1985/1986/1994 and resurveyed in 2017 and 2018. Vertical velocities (Figure 2B) were calculated following Hao et al (2016), with 37 stable continuous GPS vertical velocities utilized during leveling adjustment to define the reference frame and to reduce systematic errors accumulated during leveling routes (see Hao et al (2016) for more details). Since the leveling data are sensitive to local environmental effects, such as groundwater changes and human activities (Hammond et al, 2016;Hao et al, 2016), we therefore despeckle the velocities with GPS-Imaging, which is robust against outliers, to construct a spatially smoothed VLM model (Hammond et al, 2016;Kreemer et al, 2020; Figures 3B, Supplementary Figure S1).…”
Section: Methodsmentioning
confidence: 99%
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“…Most of the levelling data used in this study are taken from [23]. Their data sources include the network of levelling benchmarks used for seismic applications across major active faults in China (surveyed by the China Earthquake Administration, CEA) and the national levelling network of China (organised by the National Administration of Surveying, Mapping and Geoinformation, NASMG).…”
Section: Levelling Data In 1970-2014mentioning
confidence: 99%