The vertical slip rate of the Sertengshan piedmont fault, Inner Mongolia, China

Zhang, Hao; He, Zhi‐Guo; Ma, Bo; Long, Jianyu; Liang, Kuan; Wang, Jinyan

doi:10.1016/j.jseaes.2017.04.014

Cited by 25 publications

(24 citation statements)

References 22 publications

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“…The field investigation found that a thick lacustrine profile appeared in Shuiquancun, which is the lacustrine strata of the Jilantai-Hetao megalake that are distributed along the fault. According to previous studies, the top of the lacustrine strata has an age of ∼65 ka (Chen, Fan, Chun, Madsen, Oviatt, Zhao, et al, 2008;Chen, Fan, Chun,Madsen, Oviatt, Zhao, & Yang,2008;Zhang et al, 2017). Zhang et al (2017) calculated the vertical slip rate of the fault near Shuiquancun based on the vertical throw of U L across fault Fa (∼61.1 m) and obtained a value of 0.94 mm/a.…”

Section: General Characteristics Of the Intersection Between The Espf And Wspfmentioning

confidence: 93%

“…Previous researchers discussed the segmentation of the SPF according to the geometry and activity of the fault (Chen, Ran, & Chang, 2003;Chen, Ran, & Yang, 2003;Yang et al, 2002Yang et al, , 2003. The latest research divides the SPF into four segments, with the WSPF being divided into the Wujiahe segment and the Hongqicun segment and the ESPF being divided into the Kuluebulong segment and the Dashetai segment (He et al, 2017;Long et al, 2017;Zhang et al, 2017). The maximum slip rate of the SPF since 65 ka has been calculated to be 1.81 mm/a on the Wujiahe segment, 1.66 mm/a on the Hongqicun segment, and 0.94 mm/a on the Kuluebulong segment (Zhang et al, 2017).…”

Section: Regional Tectonic Settingmentioning

confidence: 99%

“…Along the LPF and SPF, many lacustrine layers appear on the profiles, which are mainly composed of yellow-green fine silt sand. This layer is a good marker layer to calculate the vertical slip rates of the faults (Liang et al, 2019;Zhang et al, 2017).…”

Section: Regional Tectonic Settingmentioning

confidence: 99%

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Joint‐Rupture Pattern and Newly Generated Structure of Fault Intersections on the Northern Margin of the Linhe Basin, Northwestern Ordos Block, China

Liang¹,

He²,

Ma³

et al. 2021

Tectonics

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The Ordos Block is located northeast of the Tibetan Plateau (Figure 1a; Deng et al., 1999). Since the Cenozoic, due to the rapid expansion of the Tibetan Plateau to the northeast (Gaudemer et al., 1995;Tapponnier et al., 1982Tapponnier et al., , 1986 and subduction of the Pacific plate to the west (Northrup et al., 1995;Uyeda & Kanamori, 1979), at least four M ≥ 8 large earthquakes have been triggered in the basin on the periphery of the Ordos Block. These earthquakes were the 1303 Hongdong M 8.0 earthquake in the Shanxi Basin in the eastern block

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Section: General Characteristics Of the Intersection Between The Espf And Wspfmentioning

confidence: 93%

Section: Regional Tectonic Settingmentioning

confidence: 99%

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Joint‐Rupture Pattern and Newly Generated Structure of Fault Intersections on the Northern Margin of the Linhe Basin, Northwestern Ordos Block, China

Liang¹,

He²,

Ma³

et al. 2021

Tectonics

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“…From the Late Triassic and Early Jurassic, Mongol‐Okhotsk Ocean began to enclose and formed the complex Mongol‐Okhotsk suture system in the Cretaceous (Donskaya et al, ; Yin & Nie, ), followed by the well‐developed ophiolite exposures (Badarch et al, ; Windley et al, ). Later on, in Cenozoic, the western part of Mongolia experienced intensive N‐S compressional deformation from the convergence of the Indian Plate and the Tibetan Plateau, while E‐W extensional tectonics dominated in eastern Mongolia by the back‐arc extension by the subducted pacific plate (He et al, ; He, Ma, et al, ; Meng, ; Zhang, He, et al, ).…”

Section: Introductionmentioning

confidence: 99%

Tomographic Pn Velocity and Anisotropy Structure in Mongolia and the Adjacent Regions

Sandvol

et al. 2019

JGR Solid Earth

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We present new high-resolution Pn velocity and anisotropy models beneath Mongolia and the adjacent regions by inverting 169,406 Pn arrivals. The data are selected from 786 permanent stations and 106 portable seismographs recently deployed in Mongolia and China's Inner Mongolia. The availability of new data acquired has allowed us to explore the uppermost mantle structures in great detail in this region, and the 2°× 2°model resolution is capable of distinguishing small-scale geological features. Pn average velocity is 8.18 km/s, substantially faster than the global average. Distinct contrast in the velocity of the uppermost mantle is observed between the central part and two ends of the Baikal Rift, with the presence of higher velocities under the Central Baikal Rift, indicating strong variation of lithospheric thinning across the entire Baikal Rift. Low velocity beneath the Hangay Dome implies partial melting of mantle reflected by asthenospheric upwelling. Azimuthal anisotropy in the upper and lower mantle lid is measured by grouping the travel time data into two phases by epicenter distance. The obvious depth dependence of Pn anisotropy beneath the Hentey Mountains suggests different origins of fabrics. The lower anisotropy may origin from asthenospheric flow, while the shallower fabric may exhibit the preserved lattice preferred orientation anisotropy in the uppermost mantle. Meanwhile, depth-dependent anisotropic structures and significantly low velocity are found beneath Tien Shan, most possibly suggesting that the lithospheric mantle thinning is experienced by either delamination or local asthenospheric upwelling.

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“…Geologic techniques use fieldwork-based approaches to measure slip proxies at the ground surface, such as uplifted terraces (e.g. Zhang et al, 2017) or offset river channels (e.g. Kop et al, 2016).…”

Section: Chapter 1: Background and Motivationmentioning

confidence: 99%

The Effect of Reverse Fault Geometry on Slip Rate Estimates

Hossain¹

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Estimates of fault slip rates are an integral part of assessing seismic hazard because they affect estimates of earthquake renewal and moment release rates. For some faults, however, slip rate estimates vary among geodetic studies or between geodetic and geologic investigations. These differences may reflect time-transient deformation, but they may also reflect differences in spatial scale of observations and in particular a lack of knowledge of how fault geometries change with depth. This study seeks to characterize the impact of common reverse fault geometries, such as ramp-flat features, on geodetic and geologic slip rate estimates using boundary element numerical models. The objective is to see how down-dip geometry affects slip rates throughout the seismic cycle and the ability to accurately estimate these rates when fault geometry is poorly known. A suite of two-dimensional models is used to explore ramp-flat geometry, commonly observed in reverse fault systems. The models are subjected to far-field loading representative of horizontal surface velocities recorded by GPS, and are designed to account for both interseismic and geologic timescales by coupling creeping segments of faults with either locked or unlocked segments. Using the forward models to explore the impact of down-dip geometry, we find that geodetic and geologic slip rate estimates do not always match. Inverting for slip rate, the mismatch becomes even greater when assuming fault geometries that are incorrect. The Longitudinal Valley Fault of Taiwan and the Ventura-Pitas Point fault of California provide two real-world case studies where thrust fault geometry is v incompletely known and, in the case of the Longitudinal Valley Fault, there is documented disagreement between geologic and geodetic slip rates. Models of these structures corroborate those from the idealized model suite, indicating that using correct fault geometries is important for reconciling differences between geodetic and geologic investigations. HIGHLIGHTS  This study seeks to explain differences between fault slip rate estimates derived from geologic and geodetic techniques and among geodetic techniques.  Geologic techniques stem from fieldwork and measurements of slip proxies at the surface, whereas geodetic techniques, including GPS, collect surface displacement data and use it to model subsurface fault displacements.  Reconciling this discrepancy and correctly estimating fault slip rates are fundamental to quantifying earthquake risk.  Our hypothesis is that discrepancies between slip rate estimates from geologic and geodetic techniques arise, at least partially, from using incorrect fault geometries when performing geodetic inversions.  The hypothesis is supported with the caveat that use of incorrect geometries does not explain the entire discrepancy, indicating that there may also be multiple other factors at play.

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The vertical slip rate of the Sertengshan piedmont fault, Inner Mongolia, China

Cited by 25 publications

References 22 publications

Joint‐Rupture Pattern and Newly Generated Structure of Fault Intersections on the Northern Margin of the Linhe Basin, Northwestern Ordos Block, China

Joint‐Rupture Pattern and Newly Generated Structure of Fault Intersections on the Northern Margin of the Linhe Basin, Northwestern Ordos Block, China

Tomographic Pn Velocity and Anisotropy Structure in Mongolia and the Adjacent Regions

The Effect of Reverse Fault Geometry on Slip Rate Estimates

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