Strategies in the Quality Assurance of Geomagnetic Observation Data in China
By: Suqin Zhang, Changhua Fu, Xudong Zhao, Xiuxia Zhang, Yufei He, Qi Li, Jun Chen, Jianjun Wang and Qian Zhao
References
- Auster, HU, et al. 2002. Calibration of flux-gate magnetometers using relative motion. Measurement Science and Technology, 13(7): 1124–1131. DOI: 10.1088/0957-0233/13/7/321
- Bolduc, L, et al. 1998. A study of geomagnetic disturbance in Quebec. I. General results. IEEE transactions on power delivery, 13(4): 1251–1256. DOI: 10.1109/61.714492
- Bolduc, L, et al. 2000. A study of geoelectromagnetic disturbances in quebec. II. Detailed analysis of a large event. IEEE transactions on power delivery, 15: 272–278. DOI: 10.1109/61.847262
- Boteler, DH, Pirjola, RJ and Nevanlinna, H. 1998. The effects of geomagnetic disturbances on electrical systems at the Earth’s surface. Adv. Space Res., 22(1): 17–27. DOI: 10.1016/S0273-1177(97)01096-X
- Cai, Y, et al. 2019. Anomaly detection of earthquake precursor data using long short-term memory networks. Applied geophysics, 16(3): 257–266. DOI: 10.1007/s11770-019-0774-1
- Che, MQ, et al. 2022. Establishment of geomagnetic interference data set based on deep learning. North China Earthquake Sciences, 40(2): 56–61. DOI: 10.3969/j.issn.1003-1375.2022.02.008
- Chen, CH, et al. 2017. Artificial magnetic disturbance from the mass rapid transit system in Taiwan. Terra Nova, 29(5): 306–311. DOI: 10.1111/ter.12277
- Chen, J, et al. 2014. The design of HVDC discrimination and processing system for geomagnetic network. Seismological and Geomagnetic Observation and Research, 35(3): 271–274. DOI: 10.3969/j.issn.1003-3246.2014.03/04.047
- Chen, XL, et al. 2017. Research and data analysis of the deep well geomagnetic observation system in Yangjiang, Guangdong. South China Journal of Seismology, 37(3): 82–89.
- China Earthquake Administration (CEA). 2004.
Specification for the construction of seismic station-Geomagnetic station. DB/T 9–2004 . Beijing: China Earthquake Publishing House - Dawson, E, et al. 2009. Quality control procedures at the world data centre for geomagnetism, Edinburgh. Poster presented at: 11th IAGA Scientific Assembly,
23–30 Aug2009 , Sopron, Hungary. Retrieved from:http://nora.nerc.ac.uk/11740 [Last accessed 6 December 2023]. - Dobrovolsky, M, Kudin, D and Krasnoperov, R. 2020. Unified geomagnetic database from different observation networks for geomagnetic hazard assessment tasks. Data Science Journal, 19(34): 1–7. DOI: 10.5334/dsj-2320-034
- Fan, JY, et al. 2021. Analysis of environmental disturbance of geophysical network. Seismological and Geomagnetic Observation and Research, 42(3): 242–249. DOI: 10.3969/j.issn.1003-3246.2021.03.030
- Guo, SX, et al. 2015. Impact of EHV power system on geomagnetically induced currents in UHV power system. IEEE transactions on power delivery, 30(5): 2163–2170. DOI: 10.1109/TPWRD.2014.2381248
- Guo, YX, et al. 2023. Magnetic dipole reconstruction method for forward modeling of ferromagnetic object interference on geomagnetic observation. Earthquake, 43(2): 145–155. DOI: 10.12196/j.issn.1000-3274.2023.02.012
- He, YF, et al. 2019. Analysis of several years of DI magnetometer comparison results by the geomagnetic network of China and IAGA. Data Science Journal, 18(49): 1–11. DOI: 10.5334/dsj-2319-049
- Hu, XJ, et al. 2014. Technical renovation of the absolute observation room of the Red Mountain Geomagnetic Station. Seismological and Geomagnetic Observation and Research, 35(3): 244–247. DOI: 10.3969/j.issn.1003-3246.2014.03/04.042
- Hu, XJ, et al. 2016. Study on the influence of instrument orientation error on the accuracy of geomagnetic daily variation records. Acta Seismologica Sinica, 38(1): 130–137. DOI: 10.11939/jass.2016.01.013.
- Jankowski, J and Sucksdorff, S. 1996. Guide for magnetic measurements and observatory practice. Warszawa, Poland: The Polish National Space Research Press.
- Jiang, YL, et al. 2019.
Optimization of self-judgment and processing method and system for interference of high voltage direct current transmission to geomagnetic observation . China: CN108037541B. - Kang, J, et al. 2022. Field test of the influence of ferromagnetic materials on geomagnetic observation. North China Earthquake Science, 40(3): 55–61. DOI: 10.3969/j.issn.1003–;1375.2022.03.009
- Kang, LW, et al. 2019. Analysis on the differences of EMM-740 model and the annual mean of China’s geomagnetic observatories. Hydrographic Surveying and Charting, 39(1): 27–30
- Kappenman, JG. 1996. Geomagnetic storms and their impact on power systems. IEEE Power Engineering Review, 16(5): 5–8. DOI: 10.1109/MPER.1996.491910
- Kudin, D, et al. 2023. On a novel approach to correcting temperature dependencies in magnetic observatory data. Appl. Sci, 13: 8008. DOI: 10.3390/app13148008
- Kudin, DV, et al. 2021. Advanced production of quasi-definitive magnetic observatory data of the INTERMAGNET standard. Geomagnetism and Aeronomy, 61(1): 54–67. DOI: 10.1134/S0016793221010096
- Lesur, V, et al. 2017. Estimating error statistics for Chambon-la-Forêt observatory definitive data. Annales Geophysicae, 35(4): 939–952. DOI: 10.5194/angeo-35-939-2017
- Linthe, HJ, et al. 2013. Observatory data quality control-the instrument to ensure valuable research. In: Proceedings of the XVth IAGA Workshop on Geomagnetic Observatory Instruments, Data Acquisition and Processing: extended abstract volume, edited by: Hejda, P. TS13, San Fernando, Spain,
March 2013, 173–177 .https://core.ac.uk/download/pdf/20319986.pdf (Last accessed 6 December 2023). - Liu, CM, Liu, LG and Pirjola, R. 2009. Geomagnetically induced currents in the high voltage power grid in China. IEEE Transactions on Power Delivery, 24: 2368–2374. DOI: 10.1109/TPWRD.2009.2028490
- Liu, GC, et al. 2022. Automatic classification and recognition of geomagnetic interference events based on machine learning. Journal of Computational Methods in Sciences and Engineering, 22(4): 1157–1170. DOI: 10.3233/JCM-226015
- Liu, H, et al. 2019. Recurrent neural network-based approach for sparse geomagnetic data interpolation and reconstruction. IEEE Access, 7: 33173–33179. DOI: 10.1109/ACCESS.2019.2903599
- Liu, LG, et al. 2016. Observation studies of encroachment by geomagnetic storms on high-speed railways and oil-and-gas pipelines in China. Scientia Sinica Technologica, 46(3): 268–275, DOI: 10.1360/N092015-00279
- Mohd Anuar, N, et al. and MAGDAS/CPMN. 2019. Assessment of the Geomagnetically Induced Current (GIC) at low latitude region based on MAGDAS data. In Journal of Physics: Conference Series (Vol. 1152).
Institute of Physics Publishing . DOI: 10.1088/1742-6596/1152/1/012028 - Neska, A, et al. 2013. On the Influence of DC railway noise on variation data from Belsk and Lviv geomagnetic observatories. Acta Geophysica, 61(2): 385–403. DOI: 10.2478/s11600-012-0058-0
- Pang, HF. 2011.
Analysis and calibration of three-axis magnetic flux gate sensor . Unpublished thesis (Master), Changsha: National University of Defense Technology. - Peltier, A and Chulliat, A. 2010. On the feasibility of promptly producing quasi-definitive magnetic observatory data. Earth Planets Space, 62: e5–e8. DOI: 10.5047/eps.2010.02.002
- Pylvanainen, T. 2008. Automatic and adaptive calibration of 3D field sensors. Applied Mathematical Modeling, 32(4): 575–587. DOI: 10.1016/j.apm.2007.02.004
- Rasson, JL, Toh, H and Yang, DM. 2010.
The global geomagnetic observatory . In: Mandea, M and Korte, M (Eds.), Geomagnetic Observations and Models. Volume 5 of the series IAGA Special Sopron Book Series. Springer, pp. 1–27. DOI: 10.1007/978-90-481-9858-0 - Reay, SJ, et al. 2013. Operations of the World Data Centre for Geomagnetism, Edinburgh. Data Science Journal, 12: WDS47–WDS51. DOI: 10.2481/DSJ.WDS-005
- Reda, J, et al. 2011.
Improvements in geomagnetic observatory data quality . In: Mandea, M and Korte, M (Eds.), Geomagnetic Observations and Models, vol. 5. Springer Science + Business Media, pp. 127–148. DOI: 10.1007/978-90-481-9858-0 - Ren, Y, et al. 2012. Analysis of geomagnetic observation data quality of Shanghai Chongming Yangtze River Farm deep well comprehensive seismic observation system. Journal of Seismological Research, 35(3): 353–359. DOI: 10.3969/j.issn.1000-0666.2012.03.010
- Shan, WF, et al. 2023. Recognition of HVDC transmission disturbance events in geomagnetic observation data based on deep neural network. Chinese J. Geophys, 66(4): 1575–1588. DOI: 10.6038/cjg2022Q0110.
- Shen, HH, et al. 2005. Several methods to reduce the influence of direct current transmission on geomagnetic observation. Earthquake Research in China, 21(4): 530–535. DOI: 10.3969/j.issn.1001-4683.2005.04.010
- Soloviev, A, et al. 2012. Automated recognition of spikes in 1 Hz data recorded at the Easter Island magnetic observatory. Earth Planets Space, 64: 743–752. DOI: 10.5047/eps.2012.03.004
- Soloviev, A, et al. 2019. Quantification of Sq parameters in 2008 based on geomagnetic observatory data. Advances in Space Research, 64(11): 2305–2320. DOI: 10.1016/j.asr.2019.08.038
- Soloviev, AA, Lesur, V and Kudin, DV. 2018. On the feasibility of routine baseline improvement in processing of geomagnetic observatory data. Planets and Space, 70: 16. DOI: 10.1186/s40623-018-0786-8
- Tang, B, et al. 2011. Influence of DC Transmission Line on Geomagnetic Observation. High Voltage Technology, 37(4): 952–960.
- Wang, XM. 2018.
Research on technology of geomagnetic field relative recording . Unpublished thesis (PhD), Institute of Geophysics, China Earthquake Administration. - Wu, YT, et al. 2010. Research on the stability of geomagnetic azimuth marks and the accuracy of magnetic declination observation. North China Earthquake Science, 2010(01): 48–51. DOI: 10.3969/j.issn.1003-1375.2010.01.009
- Xie, F. 2011.
A study on reducing man-made electromagnetic noise in geomagnetic field observation . Unpublished thesis (PhD), Institute of Geophysics, China Earthquake Administration. - Yao, X Y. 2015.
Method of the artificial electromagnetic disturbances identification and data reconstruction . Unpublished thesis (PhD), Institute of Geophysics, China Earthquake Administration. - Zhang, S, et al. 2022. Rescue and quality control of historical geomagnetic measurement at Sheshan observatory, China. Earth Syst. Sci. Data, 14, 5195–5212. DOI: 10.5194/essd-14-5195-2022
- Zhang, SQ and Yang, DM. 2011. Analysis of the calibration results of the accuracy of geomagnetic diurnal variation records. Seismological and Geomagnetic Observation and Research, 32(5): 60–65.DOI: 10.3969/j.issn.1003-3246.2011.05.012
- Zhang, SQ, et al. 2016. Quality control of observation data by the Geomagnetic Network of China. Data Science Journal, 15: 15TS19. DOI: 10.5334/dsj-2316-015
- Zhao, X, et al. 2022. Interference characteristics and denoising method of geomagnetic data caused by Hohhot rail transit. North China Earthquake Science, 40(2): 72–76
- Zhao, XD, et al. 2019. Study on the distribution characteristics of ring current and field-aligned current during magnetic storms based on geomagnetic station data. Chinese Journal of Geophysics, 62(9): 3209–3222.
- Zhang, XX, et al. 2022. Design and test of a buried geomagnetic observation device. Earthquake Research in China, 38(1): 131–141.
- Zhu, R, Yang, DM and Zhang, SQ. 2010. Progress in the application of digital geomagnetic station data. Seismological and Geomagnetic Observation and Research, 31(4): 102–107. DOI: 10.3969/j.issn.1003-3246.2010.04.018
DOI: https://doi.org/10.5334/dsj-2024-009 | Journal eISSN: 1683-1470
Language: English
Page range: 9 - 9
Submitted on: Dec 7, 2023
Accepted on: Feb 1, 2024
Published on: Feb 28, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2024 Suqin Zhang, Changhua Fu, Xudong Zhao, Xiuxia Zhang, Yufei He, Qi Li, Jun Chen, Jianjun Wang, Qian Zhao, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.