scholarly journals Present-day strain accumulation in the Liupan Shan area, northeastern margin of the Tibetan Plateau by GPS observations

2019 ◽  
Vol 30 (1) ◽  
pp. 51-62
Author(s):  
Guojie Meng ◽  
Xiaoning Su ◽  
Wanzhen Xu ◽  
Chieh-Hung Chen ◽  
Kai-Chien Cheng ◽  
...  
2016 ◽  
Vol 60 (1) ◽  
pp. 188-197 ◽  
Author(s):  
XuanYun Zeng ◽  
XiangHui Xue ◽  
XianKang Dou ◽  
Chen Liang ◽  
MingJiao Jia

2018 ◽  
Vol 31 (3) ◽  
pp. 945-962 ◽  
Author(s):  
Weixing Zhang ◽  
Yidong Lou ◽  
Jinfang Huang ◽  
Fu Zheng ◽  
Yunchang Cao ◽  
...  

Abstract The dense ground-based GPS provides a good tool to study water vapor distribution and multiscale variations, especially for linear trends on the interannual scale and short-term variations on the diurnal scale. It can also serve as an independent data source to evaluate performances of reanalyses. In this study, the 6-hourly precipitable water (PW) products at more than 260 GPS stations over China from 1999 to 2015 were analyzed and eight commonly used reanalyses, including 20CR version 2 (20CRv2), CFSR, ERA-Interim, JRA-25, JRA-55, MERRA, NCEP–NCAR, and NCEP–DOE AMIP-II, were evaluated. The climatological annual mean GPS PW distribution over China roughly shows a decreasing trend from southeast to northwest, with the largest annual and semiannual amplitudes in the lower reaches of the Yangtze River and mideastern China, respectively, and the smallest values in the Tibetan Plateau and southwestern China. All reanalyses (except for 20CRv2) can generally reproduce well the climatological annual mean PW (within 20%), annual amplitudes (within 20%), and semiannual amplitudes (within 20% except in the tropical monsoon region), but they all show wet biases in the Tibetan Plateau. Diurnal variation amplitudes reproduced by all reanalysis products are smaller than amplitudes estimated from GPS observations over China as a whole, and none of the reanalyses can capture the diurnal phases correctly. PW linear trends at most GPS stations in the recent 16 years are insignificant or with absolute values smaller than 0.10 mm yr−1. However, because of the assimilation of the unhomogenized radiosonde humidity data, most reanalyses show artificial decreasing PW trends (except in 20CRv2 and CFSR).


2019 ◽  
Vol 20 (3) ◽  
pp. 1340-1357 ◽  
Author(s):  
Jiabin Wu ◽  
Licheng Guo ◽  
Shangfa Xiong ◽  
Shiqi Wang ◽  
Zihua Tang ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 34 ◽  
Author(s):  
Xiaoning Su ◽  
Lianbi Yao ◽  
Weiwei Wu ◽  
Guojie Meng ◽  
Lina Su ◽  
...  

We installed 10 continuous Global Positioning System (GPS) stations on the northeast margin of the Tibetan Plateau at the end of 2012, in order to qualitatively investigate strain accumulation across the Liupanshan Fault (LPSF). We integrated our newly built stations with 48 other existing GPS stations to provide new insights into three-dimensional tectonic deformation. We employed white plus flicker noise model as a statistical model to obtain realistic velocities and corresponding uncertainties in the ITRF2014 and Ordos-fixed reference frame. The total velocity decrease from northwest to southeast in the Longxi Block (LXB) was 5.3 mm/yr within the range of 200 km west of the LPSF on the horizontal component. The first-order characteristic of the vertical crustal deformation was uplift for the northeastern margin of the Tibetan Plateau. The uplift rates in the LXB and the Ordos Block (ORB) were 1.0 and 2.0 mm/yr, respectively. We adopted an improved spherical wavelet algorithm to invert for multiscale strain rates and rotation rates. Multiscale strain rates showed a complex crustal deformation pattern. A significant clockwise rotation of about 30 nradians/yr (10−9 radians/year) was identified around the Dingxi. Localized strain accumulation was determined around the intersectional region between the Haiyuan Fault (HYF) and the LPSF. The deformation pattern across the LFPS was similar to that of the Longmengshan Fault (LMSF) before the 2008 Wenchuan MS 8.0 earthquake. Furthermore, according to the distributed second invariant of strain rates at different spatial scale, strain partitioning has already spatially localized along the Xiaokou–Liupanshan–Longxian–Baoji fault belt (XLLBF). The tectonic deformation and localized strain buildup together with seismicity imply a high probability for a potential earthquake in this zone.


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