AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Journal of Geodesy and Geoinformation Science Article
PDF (12.2 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Literature review | Open Access

Research Progress in Surface and Marine Gravimetry

Heping SUN1,2, Lifeng BAO1,2, Shi CHEN3, Xiaoming CUI1, Qianqian LI1, Lulu JIA3,4, Jianqiao XU1, Jiangcun ZHOU1, Minzhang HU5, Yiqing ZHU6, Xiaodong CHEN1, Lin WU1, Jiancheng HAN3,4, Honglei LI3,4, Miaomiao ZHANG1, Linhai WANG3,4
Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement, University of Chinese Academy of Sciences, Beijing 100049, China
Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
Beijing Baijiatuan Earth Sciences National Observation and Research Station, Beijing 100095, China
Institute of Seismology, China Earthquake Administration,Wuhan 430071, China
Second Monitoring Center, China Earthquake Administration, Xi'an 710054, China
Show Author Information

Abstract

Gravity field is the most basic physical field generated by the material properties of the Earth system. It reflects the spatial distribution, movement and change of materials determined by the interaction and dynamic process inside the Earth. Over the years, a variety of technical means have been used to detect the Earth’s gravity field and supported numerous studies on the global change, resource detection, geological structure movement, water resources change and other related fields of research. Here is part of the progress in surface and marine gravimetry obtained by Chinese geodesy scientists from 2019 to 2023 from the following aspects, including: ① Continuous gravity network in Chinese mainland; ② Application of superconducting gravity measurement; ③ Network adjustment for continental-scale gravity survey campaign and data quality control; ④ Regional time-variable gravity field and its application; ⑤ Research progress on novel technologies for gravity inversion; ⑥ Research progress on marine gravity field determination; ⑦ Application research on marine gravity field.

Keywords

gravity inversionsurface and marine gravimetrytime-variable gravity fieldgeodynamics

References

[1]

SUN Heping, CUI Xiaoming, XU Jianqiao, et al. Progress of research on the Earth's gravity tides and its application in geodynamics in China[J]. Pure and Applied Geophysics, 2022, 180(2): 573-589.DOI: 10.1007/s00024-022-03060-6.
Crossref Google Scholar
[2]

SUN Heping, ZHANG Miaomiao, XU Jiangqiao, et al. Reanalysis of background free oscillations using recent SG data[J]. Terrestrial, Atmospheric and Oceanic Sciences, 2019, 30(6): 757-763.
Crossref Google Scholar
[3]

LI Hang, XU Jianqiao, CHEN Xiaodong, et al. Extracting longperiod surface waves and free oscillations using ambient noise recorded by global distributed superconducting gravimeters [J]. Seismological Research Letters, 2020, 91(4): 2234-2246.
Crossref Google Scholar
[4]
PETERSON J R. Observations and modeling of seismic background noise[R]. Reston, VA: USGS Numbered Series, 1993: 30-42.
Crossref
[5]

LI Hang, CHEN Xiaodong, XU Jianqiao, et al. Comparison of noise levels between gravimeters and co-located seismometers at the seismic frequency band[J]. Journal of Geodesy and Geodynamics, 2020, 40(8): 843-848.
Google Scholar
[6]

SUN Heping, ZHANG Huikang, XU Jianqiao, et al. Influences of the Tibetan Plateau on tidal gravity detected by using SGs at Lhasa, Lijiang and Wuhan Stations in China[J]. Terrestrial, Atmospheric and Oceanic Sciences, 2019, 30(1): 139-149.
Crossref Google Scholar
[7]

LIANG Ying, CHEN Xiaodong, SUN Heping, et al. Gravity tide observation with OSG-066 and their applications at Lijiang Station, Yunnan Province, China[J]. Journal of Geodesy and Geodynamics, 2020, 40(7): 713-719.
Google Scholar
[8]

CUI Xiaoming, SUN Heping, XU Jianqiao, et al. Relationship between free core nutation and geomagnetic jerks[J]. Journal of Geodesy, 2020, 94(4): 38.
Crossref Google Scholar
[9]

CHEN Xiaodong, LI Hang, DENG Mingli, et al. Experimental study of the surface subsidence in the city using gravity observing techniques[J]. Chinese Journal of Geophysics, 2020, 63(8): 2882-2892.
Google Scholar
[10]

ZHANG Miaomiao, CHEN Xiaodong, XU Jianqiao, et al. A preliminary analysis of gravity noise levels at the deep geophysical experimental field in Huainan[J]. Advances in Earth Science, 2021, 36(5): 500-509.
Google Scholar
[11]

WANG Yun, YANG Yaxin, SUN Heping, et al. Observation and research of deep underground multi-physical fields—Huainan —848 m deep experiment[J]. Science China Earth Sciences, 2023, 66(1): 54-70.
Crossref Google Scholar
[12]

CHEN Shi, ZHUANG Jiancang, LI Xiaoyi, et al. Bayesian approach for network adjustment for gravity survey campaign: methodology and model test[J]. Journal of Geodesy, 2019, 93(5): 681-700.
Crossref Google Scholar
[13]

WANG Linhai, CHEN Shi, ZHUANG Jiancang, et al. Simultaneous calibration of instrument scale factor and drift rate in network adjustment for continental-scale gravity survey campaign[J]. Geophysical Journal International, 2022, 228(3): 1541-1555.
Crossref Google Scholar
[14]

ZHENG Qiuyue, YAO Xiuyi, CHEN Shi, et al. Data quality assessment of time-variable surface microgravity surveys in the southwestern Tibetan Plateau[J]. Applied Sciences, 2022, 12(7): 3310.
Crossref Google Scholar
[15]

YANG Jinling, CHEN Shi, ZHANG Bei, et al. Gravity observations and apparent density changes before the 2017 Jiuzhaigou Ms 7. 0 earthquake and their precursory significance[J]. Entropy, 2021, 23(12): 1687.
Crossref Google Scholar
[16]

CHEN Zhaohui, CHEN Shi, ZHANG Bei, et al. Uncertainty quantification and field source inversion for the continentalscale time-varying gravity dataset:a case study in SE Tibet, China[J]. Pure and Applied Geophysics, 2023, 180(2): 683-702.
Crossref Google Scholar
[17]

HAN Jiancheng, CHEN Shi, CHEN Zhaohui, et al. Determination of the degree 120 time-variable gravity field in the Sichuan-Yunnan region using Slepian functions and terrestrial measurements[J]. Earthquake Science, 2021, 34(3): 211-221.
Crossref Google Scholar
[18]

HAN Jiancheng, CHEN Shi, LU Hongyan, et al. Time-variable gravity field determination using Slepian functions and terrestrial measurements:a case study in North China with data from 2011 to 2013[J]. Chinese Journal of Geophysics, 2021, 64(5): 1542-1557.
Google Scholar
[19]

HAN Jiancheng, CHEN Shi, LI Honglei, et al. The recent progress using high-precision terrestrial gravity measurements[J]. Reviews of Geophysics and Planetary Physics, 2022, 53(1): 17-34.
Google Scholar
[20]

HAN Yufei, WANG Jian, XU Rugang, et al. Fractal characteristics and earthquake monitoring capability of the CMONOC gravity network[J]. Earthquake Research in China, 2020, 36(4): 879-887.
Google Scholar
[21]

JIA Lulu, CHEN Shi, WANG Linhai, et al. Gravity yearly transient change around the epicenter of 2022 Ms 6.9 Menyuan earthquake, China and seismotectonic implications[J]. Tectonophysics, 2023, 846:229676.
Crossref Google Scholar
[22]

LIU Xiangchong, CHEN Shi, XING Huilin. Gravity changes caused by crustal fluids invasion:a perspective from finite element modeling[J]. Tectonophysics, 2022, 833:229335.
Crossref Google Scholar
[23]

LI Honglei, CHEN Shi, ZHUANG Jiancang, et al. Gravity inversion method base on Bayesian-assimilation and its application in constructing crust density model of the Longmenshan region[J]. Chinese Journal of Geophysics, 2021, 64(4): 1236-1252.
Google Scholar
[24]

LI Yongbo, CHEN Shi, LI Honglei, et al. Contrastive analysis of the three-dimensional density structure characteristics of the focal area of moderate-strong earthquakes in southern Sichuan [J]. Chinese Journal of Geophysics, 2022, 65(11): 4326-4340.
Google Scholar
[25]

BAO Lifeng, XU Houze. Twin-satellites altimetry mode and its orbit design[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(7): 661-667. DOI: 10.13485/j.cnki.11-2089.2014.0109.
Crossref Google Scholar
[26]

ZHAI Zhenhe, SUN Zhongmiao, XIAO Yun, et al. Two-satellites tandem mode design and accuracy analysis of gravity field inversion for independent marine altimetry satellite[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1030-1035, 1128.
Google Scholar
[27]
ANDERSEN O B, KNUDSEN P. The DTU17 global marine gravity field: first validation results[M]//MERTIKAS S P, PAIL R. International Association of Geodesy Symposia. Cham: Springer, 2019.
Crossref
[28]

SANDWELL D T, HARPER H, TOZER B,et al. Gravity field recovery from geodetic altimeter missions[J]. Advances in Space Research, 2021, 68(2): 1059-1072.
Crossref Google Scholar
[29]

LI Qianqian, BAO Lifeng, WANG Yong. Accuracy evaluation of altimeter-derived gravity field models in offshore and coastal regions of China[J]. Frontiers in Earth Science, 2021, 9:722019.
Crossref Google Scholar
[30]

SUN Zhongmiao, GUAN Bin, ZHAI Zhenhe, et al. Research progress of ocean satellite altimetry and its recovery of global marine gravity field and seafloor topography model[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 923-934. DOI: 10.11947/j.AGCS.2022.20220069.
Crossref Google Scholar
[31]

ZHANG Shengjun, ABULAITIJIANG A, ANDERSEN O B, et al. Comparison and evaluation of high-resolution marine gravity recovery via sea surface heights or sea surface slopes [J]. Journal of Geodesy, 2021, 95(6): 66.
Crossref Google Scholar
[32]

ZHU Chengcheng, GUO Jinyun, GAO Jinyao, et al. Marine gravity determined from multi-satellite GM/ERM altimeter data over the South China Sea:SCSGA V1.0[J]. Journal of Geodesy, 2020, 94(5): 50.
Crossref Google Scholar
[33]

JIN Taoyong, ZHOU Mao, ZHANG Huan, et al. Analysis of vertical deflections determined from one cycle of simulated SWOT wide-swath altimeter data[J]. Journal of Geodesy, 2022, 96(4): 30.
Crossref Google Scholar
[34]

YU Daocheng, HWANG C, ANDERSEN O B, et al. Gravity recovery from SWOT altimetry using geoid height and geoid gradient[J]. Remote Sensing of Environment, 2021, 265:112650.
Crossref Google Scholar
[35]

YUAN Yuan, GAO Jinyao, WU Zhaocai, et al. Performance estimate of some prototypes of inertial platform and strapdown marine gravimeters[J]. Earth, Planets and Space, 2020, 72(1): 89.
Crossref Google Scholar
[36]

CHENG Bing, ZHOU Yin, CHEN Peijun, et al. Absolute gravity measurement based on atomic gravimeter under mooring state of a ship[J]. Acta Physica Sinica, 2021, 70(4): 040304.
Crossref Google Scholar
[37]

CHE Hao, LI An, FANG Jie, et al. Ship-borne dynamic absolute gravity measurement based on cold atom gravimeter[J]. Acta Physica Sinica, 2022, 71(11): 113701.
Crossref Google Scholar
[38]

SUN Heping, LI Qianqian, BAO Lifeng, et al. Progress and development trend of global refined seafloor topography modeling[J]. Geomatics and Information Science of Wuhan University, 2022, 47(10): 1555-1567.
Google Scholar
[39]

ANNAN R F, WAN Xiaoyun. Recovering bathymetry of the gulf of guinea using altimetry-derived gravity field products combined via convolutional neural network[J]. Surveys in Geophysics, 2022, 43(5): 1541-1561.
Crossref Google Scholar
[40]

WAN Xiaoyun, LIU Bo, SUI Xiaohong, et al. Bathymetry inversion using the deflection of the vertical:a case study in South China Sea[J]. Geodesy and Geodynamics, 2022, 13(5): 492-502.
Crossref Google Scholar
[41]

LIU Hui, WU Lin, BAO Lifeng, et al. Gravity matching navigation algorithm based on multiscale search and Hadamard transformed difference[J]. ISA transactions, 2022, 128: 409-422.
Crossref Google Scholar
[42]

LI Qianqian, BAO Lifeng, SHUM C K. Altimeter-derived marine gravity variations reveal the magma mass motions within the subaqueous Nishinoshima volcano, Izu-Bonin Arc, Japan [J]. Journal of Geodesy, 2021, 95(5): 46.
Crossref Google Scholar
Journal of Geodesy and Geoinformation Science
Volume 6 Issue 3,
September 2023
Pages 19-32
DOI: 10.11947/j.JGGS.2023.0303
Cite this article:
SUN H, BAO L, CHEN S, et al. Research Progress in Surface and Marine Gravimetry. Journal of Geodesy and Geoinformation Science, 2023, 6(3): 19-32. https://doi.org/10.11947/j.JGGS.2023.0303

733

Views

38

Downloads

0

Crossref

0

Scopus

0

CSCD

Altmetrics
Received: 16 August 2023
Accepted: 26 August 2023
Published: 20 September 2023
© 2023 Journal of Geodesy and Geoinformation Science
Return