Gravity gradient Inversion of GOCE Satellite Data for the Lithospheric Density Structure in the Qinghai‐Tibet Plateau Region and the Surrounding Regions

2021 ◽  
Author(s):  
Yu Tian ◽  
Honglei Li ◽  
Yong Wang ◽  
Qing Ye ◽  
Aizhi Guo
Keyword(s):  
Satellite Data ◽  
Tibet Plateau ◽  
Gravity Gradient ◽  
Density Structure ◽  
Plateau Region ◽  
Qinghai Tibet Plateau ◽  
Goce Satellite

scholarly journals SHORT REPORT: IDENTIFICATION OF ECHINOCOCCUS SPECIES FROM A YAK IN THE QINGHAI-TIBET PLATEAU REGION OF CHINA

2003 ◽  
Vol 69 (4) ◽  
pp. 445-446 ◽  
Author(s):  
NING XIAO ◽  
PHILIP S. CRAIG ◽  
MINORU NAKAO ◽  
JIAMIN QIU ◽  
KAZUHIRO NAKAYA ◽  
...  
Keyword(s):  
Tibet Plateau ◽  
Short Report ◽  
Plateau Region ◽  
Qinghai Tibet Plateau

scholarly journals WATER VAPOR CONVERSION FACTOR OVER QINGHAI-TIBET PLATEAU REGION CONSIDERING ELEVATION, LATITUDE AND FINE SEASONAL VARIATION IS CONSTRUCTED

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 271-277
Author(s):  
H. Peng ◽  
L. K. Huang ◽  
C. Li ◽  
L. L. Liu ◽  
S. Wang ◽  
...  
Keyword(s):  
Water Vapor ◽  
High Precision ◽  
Conversion Factor ◽  
Conversion Coefficient ◽  
Reference Value ◽  
Radiosonde Data ◽  
Tibet Plateau ◽  
Grid Data ◽  
Plateau Region ◽  
Qinghai Tibet Plateau

Abstract. In this paper, the conversion factor K model of Qinghai-Tibet plateau region was established based on the QTm model which is established using high-precision the Global Geodetic Observing System (GGOS) Atmosphere grid data from 2007 to 2014. The model took into account the influence of elevation fluctuation and latitude change on the model, and analyzed the relevant characteristics with seasonal changes. The 2015 GGOS grid data and radiosonde data were used as the reference value for accuracy assess. The established QTm model was compared with GPT2w model in bias and RMS. Compared with GGOS grid data, the average annual bias and RMS of QTm model were -0.28K and 2.70k respectively. The RMS of GPT2w-5 and GPT2w-1 were 58.16% and 28.84% higher, respectively. Compared with radiosonde data, QTm model has 1.13k average annual bias and the RMS error of 2.92k. Compared with GPT2w-5 and GPT2w-1, the RMS value of QTm model was improved by 25.08% and 29.43%, respectively. The value of atmospheric water vapor conversion coefficient was calculated by the integral method calculated by radio sounding data in the Qinghai-Tibet region in 2015 was used as the reference value for assess the performance of conversion factor K, and compared and analyzed the conversion coefficient K which provided by QTm and GPT2w. The results show that the value of Tm provided by QTm model has the highest accuracy, which is 25.07% higher than that of GPT2w-5 and 29.42% higher than that of GPT2w-1. QTm models can achieve GPS-PWV retrieval precision of better than 2 mm. Which has potential application for high-precision real-time GNSS-PWV retrieving in Qinghai-Tibet region.

scholarly journals Sequential inversion of GOCE satellite gravity gradient data and terrestrial gravity data for the lithospheric density structure in the North China Craton

Solid Earth ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 1121-1144
Author(s):  
Yu Tian ◽  
Yong Wang
Keyword(s):  
North China ◽  
Gravity Data ◽  
Initial Density ◽  
Gravity Gradient ◽  
Density Structure ◽  
Satellite Gravity ◽  
Density Data ◽  
The North ◽  
Density Anomaly ◽  
Goce Satellite

Abstract. The North China Craton (NCC) is one of the oldest cratons in the world. Currently, the destruction mechanism and geodynamics of the NCC remain controversial. All of the proposed views regarding the issues involve studying the internal density structure of the NCC lithosphere. Gravity field data are among the most important data in regard to investigating the lithospheric density structure, and gravity gradient data and gravity data each possess their own advantages. Given the different observational plane heights between the on-orbit GOCE (Gravity Field and Steady-State Ocean Circulation Explorer) satellite gravity gradient and terrestrial gravity and the effects of the initial density model on the inversion results, sequential inversion of the gravity gradient and gravity are divided into two integrated processes. By using the preconditioned conjugate gradient (PCG) inversion algorithm, the density data are calculated using the preprocessed corrected gravity anomaly data. Then, the newly obtained high-resolution density data are used as the initial density model, which can serve as constraints for the subsequent gravity gradient inversion. Several essential corrections are applied to the four gravity gradient tensors (Txx, Txz, Tyy, Tzz) of the GOCE satellite, after which the corrected gravity gradient anomalies (T′xx, T′xz, T′yy, T′zz) are used as observations. The lithospheric density distribution result within the depth range of 0–180 km in the NCC is obtained. This study clearly illustrates that GOCE data are helpful in understanding the geological settings and tectonic structures in the NCC with regional scale. The inversion results show that in the crust the eastern NCC is affected by lithospheric thinning with obvious local features. In the mantle, the presented obvious negative-density areas are mainly affected by the high-heat-flux environment. In the eastern NCC, the density anomaly in the Bohai Bay area is mostly attributed to the extension of the Tancheng–Lujiang major fault at the eastern boundary. In the western NCC, the crustal density anomaly distribution of the Qilian block is consistent with the northwest–southeast strike of the surface fault belt, whereas such an anomaly distribution experiences a clockwise rotation to a nearly north–south direction upon entering the mantle.

scholarly journals DUAL INFECTION OF ANIMAL HOSTS WITH DIFFERENT ECHINOCOCCUS SPECIES IN THE EASTERN QINGHAI-TIBET PLATEAU REGION OF CHINA

2006 ◽  
Vol 75 (2) ◽  
pp. 292-294 ◽  
Author(s):  
NING XIAO ◽  
JIAMIN QIU ◽  
PHILIP S. CRAIG ◽  
PATRICK GIRAUDOUX ◽  
MINORU NAKAO ◽  
...  
Keyword(s):  
Dual Infection ◽  
Tibet Plateau ◽  
Plateau Region ◽  
Animal Hosts ◽  
Qinghai Tibet Plateau

scholarly journals Spatio-temporal evolution of Allium L. in the Qinghai–Tibet-Plateau region: Immigration and in situ radiation

2017 ◽  
Vol 39 (4) ◽  
pp. 167-179 ◽  
Author(s):  
Frank Hauenschild ◽  
Adrien Favre ◽  
Jan Schnitzler ◽  
Ingo Michalak ◽  
Martin Freiberg ◽  
...  
Keyword(s):  
Temporal Evolution ◽  
Tibet Plateau ◽  
Plateau Region ◽  
Spatio Temporal ◽  
Qinghai Tibet Plateau

Joint inversion of the lithospheric density struture in the North China Craton based on GOCE satellite gravity gradient data and surface gravity data

2020 ◽  
Author(s):  
Yu Tian ◽  
Yong Wang
Keyword(s):  
North China ◽  
Joint Inversion ◽  
Gravity Data ◽  
Initial Density ◽  
Gravity Gradient ◽  
Density Structure ◽  
Satellite Gravity ◽  
Density Data ◽  
The North ◽  
Goce Satellite

<p>The North China Craton (NCC) is one of the oldest cratons in the world. Currently, the destruction mechanism and geodynamics of the NCC still remain controversial. All of the proposed views regarding the issues involve studying the internal density structure of the NCC lithosphere. Gravity field data are one of the most important data in regard to investigating the lithospheric density structure, the gravity gradient data and the gravity data possess their own advantages. Given the inconsistency of the on orbit GOCE satellite gravity gradient and surface gravity observation plane height, also effects of the initial density model upon of the inversion results, the joint inversion of gravity gradient and gravity are divided into two integrated processes. By using the preconditioned conjugate gradient (PCG) inversion algorithm, the density data are calculated using the preprocessed remaining gravity anomaly data. The newly obtained high resolution density data are then used as the initial density model, which can be served as the constraints for the subsequent gravity gradient inversion. Downward continuation, terrain correction, interface undulation correction and long wavelength correction are performed for the four gravity gradient tensor data(<strong>T</strong><sub>xx</sub>，<strong>T</strong><sub>xz</sub>，<strong>T</strong><sub>yy</sub>，<strong>T</strong><sub>zz</sub>)of the Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite,  after which the remaining gravity gradient anomaly data(<strong>T</strong>'<sub>xx</sub>，<strong>T</strong>'<sub>xz</sub>，<strong>T</strong>'<sub>yy</sub>，<strong>T</strong>'<sub>zz</sub>) are used as the new observation quantity. Finally, the ultimate lithospheric density distribution within the depth range of 0–180 km in the NCC is obtained using the same PCG algorithm.</p>

First report of Echinococcus shiquicus in dogs from eastern Qinghai–Tibet plateau region, China

Acta Tropica ◽  
2013 ◽  
Vol 127 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Belgees Boufana ◽  
Jiamin Qiu ◽  
Xinwang Chen ◽  
Christine M. Budke ◽  
Maiza Campos-Ponce ◽  
...  
Keyword(s):  
Tibet Plateau ◽  
Plateau Region ◽  
First Report ◽  
Qinghai Tibet Plateau

scholarly journals Decoupling Elasticity and Driving Factors of Energy Consumption and Economic Development in the Qinghai-Tibet Plateau

2020 ◽  
Vol 12 (4) ◽  
pp. 1326 ◽  
Author(s):  
Weiguo Fan ◽  
Mengmeng Meng ◽  
Jianchang Lu ◽  
Xiaobin Dong ◽  
Hejie Wei ◽  
...  
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Driving Factors ◽  
Tibet Plateau ◽  
Energy Structure ◽  
Plateau Region ◽  
Effort Level ◽  
Index Model ◽  
Industrial Energy ◽  
Qinghai Tibet Plateau

Decoupling of energy consumption and economic development is a key factor in achieving sustainable regional development. The decoupling relationship between energy consumption and economic development in the Qinghai-Tibet Plateau region is still unclear. This paper uses the logarithmic mean Divisia index (LMDI) decomposition method and Tapio elastic index model to analyze the decoupling degree and driving factors of energy consumption and economic development, and evaluates the decoupling effort level in Qinghai-Tibet Plateau from 2006 to 2016. The results indicate that the Qinghai-Tibet Plateau region showed a weak decoupling as a whole, and that only Tibet experienced expanding negative decoupling in 2006–2007 and an expansion link in 2007–2008. Economic scale is a primary factor that hinders the decoupling of energy consumption, followed by investment intensity and industrial energy structure. The cumulative promotion effect of research and development (R&D) efficiency and intensity and the inhibition effect of investment intensity cancel each other out. With the exception of Tibet and Xinjiang, all provinces in the Qinghai-Tibet plateau have made decoupling efforts. Decoupling efforts made by R&D efficiency contributed the most, followed by energy intensity and R&D intensity. This paper provides policy recommendations for the decoupling of energy consumption experience for underdeveloped regions.

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