Skip to main content

Advertisement

Log in

Community/Public Approach to Earthquake Forecasting in the Era of Big Data: An On-going Endeavor in China

  • Published:
Surveys in Geophysics Aims and scope Submit manuscript

Abstract

Public Participation (in earthquake monitoring and forecast) and Public Preparedness (for seismic disaster risk reduction), or P4, is one of the interesting, and often underestimated approach to earthquake forecast. In the era of big data, this community/public approach faces new challenges and new opportunities and may contribute to earthquake science. Taking China as an example, and focusing on earthquake forecasts. This article reviews some of the key issues currently under discussion. It seems that new developments make it possible to foster a ‘version 2.0’ of P4, empowered by information technology.

Article Highlight

  • How the traditional mobilization and organization of the public to cooperate on earthquake forecast change in the time of big data, with technical background updated completely compared to the last century, reviews some on-going works in China and discusses them.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Earthquake magnitude and origin time used in this article is from the earthquake catalogues of the China Seismic Network.

  2. Statistics by the Ministry of Industry and Information Technology of the People’s Republic of China (January 26, 2021), https://www.miit.gov.cn/zwgk/zcjd/art/2021/art_11eba47cf1ad4bbbb014bd30236afd58.html, in Chinese. Last access: February 18, 2021.

  3. China Earthquake Administration (CEA) Open File, 2021, in Chinese.

  4. English translation: http://www.lawinfochina.com/Display.aspx?lib=law&Cgid=111778. Last access: February 18, 2021.

References

  • Atkinson GM, Wald DJ (2007) “Did You Feel It?” intensity data: a surprisingly good measure of earthquake ground motion. Seism Res Lett 78:362–368

    Article  Google Scholar 

  • Bossu R, Mazet-Roux G, Douet V, Rives S, Marin S, Aupetit M (2008) Internet users as seismic sensors for improved earthquake response. EOS Trans Am Geophys Union 89(25):225–226

    Article  Google Scholar 

  • Budescu DV, Chen E (2015) Identifying expertise to extract the wisdom of crowds. Manage Sci 61:267–280

    Article  Google Scholar 

  • Che YT, Wang GC, Liu CL, Zhu ZQ (2003) Large scale macro-abnormal phenomena appearing 2002 in Liangshan Prefecture region and its analysis. Earthq Res Sichuan 3:14–19. https://doi.org/10.3969/j.issn.1001-8115.2003.03.003 (in Chinese)

    Article  Google Scholar 

  • Che YT, Liu CL, Yu JZ, Guan ZJ, Li J (2008) Underground fluid anomaly and macro anomaly of Ms8.0 Wenchuan earthquake and opinions about earthquake prediction. Seismol Geol 30:828–838 (in Chinese)

    Google Scholar 

  • Chen DQ, Yang ML, He JL, Miao WC, Lu BH, Huang YM (2009) Analysis of two fluid marco-anomalies in Guangdong Province. South China J Seismol 29(4):46–53 (in Chinese)

    Google Scholar 

  • Chen JM (2008) Earthquake disaster reduction in developing China. Keynote Lecture, 14th World Conference on Earthquake Engineering (WCEE), October 12–17, 2008, Beijing, China, Proceedings CD

  • China Earthquake Administration (2008) Guidelines of P4 (Qun Ce Qun Fang). Seismological Press, Beijing (in Chinese)

    Google Scholar 

  • Cooper S, Khatib F, Treuille A, Barbero J, Lee J, Beenen M, Leaver-Fay A, Baker D, Popović Z, Foldit players, (2010) Predicting protein structures with a multiplayer online game. Nature 466:756–760

    Article  Google Scholar 

  • CSES (2020a) China seismic experimental site: scientific challenges. China Standard Press, Beijing (in Chinese)

    Google Scholar 

  • CSES (2020b) Annual data report of China seismic experimental site (2019). Seismological Press, Beijing (in Chinese)

    Google Scholar 

  • Earle PS, Bowden DC, Guy M (2012) Twitter earthquake detection: earthquake monitoring in a social world. Ann Geophys 54:708–715

    Google Scholar 

  • Fang LH, Wu ZL, Song K (2017) SeismOlympics. Seism Res Lett 88:1429–1430

    Article  Google Scholar 

  • Fang S, Li L, Zhang XD (2013) The research of topic crawler for macro-anomalies of earthquake. Technol Earthq Disaster Prev 8:475–480 (in Chinese)

    Google Scholar 

  • Fasan M, Magrin A, Amadio C, Romanelli F, Vaccari F, Panza GF (2016) A seismological and engineering perspective on the 2016 Central Italy earthquakes. Int J Earthq Impact Eng 1:395–420. https://doi.org/10.1504/IJEIE.2016.100004076

    Article  Google Scholar 

  • Flood RL, Jackson MC (1991) Creative problem solving: total systems intervention. John Wiley & Sons, Chichester

    Google Scholar 

  • Gao XQ, Xiang Y, Yang XF, Song LJ, Sun JN, Tan M, Nie XH, Gao LJ, Zhang T, Yan L, Liang H (2015) Comparison analysis on macro-anomalies before Ms7.3 Yutian earthquakes in Xinjiang. Acta Seismol Sin 37:160–168 (in Chinese)

    Google Scholar 

  • Hori M, Sutoh A, Saitoh Y (2000) Strong motion measurement using security video cameras. J Struct Mech Earthquake Eng 17:47–56

    Google Scholar 

  • Hough SE, Martin S, Bilham R, Atkinson GM (2002) The 26 January 2001 M7.6 Bhuj, India earthquake: observed and predicted ground motions. Bull Seismol Soc Am 92:2061–2079

    Article  Google Scholar 

  • Hough SE, Pande P (2007) Quantifying the media bias in intensity surveys: lessons from the 2001 Bhuj, India, earthquake. Bull Seismol Soc Am 97:638–645

    Article  Google Scholar 

  • Hsue DH (2010) Field investigation of macro-anomalies before the Wenchuan MS8.0 earthquake, Sichuan. China Earthquake 30:121–133 (in Chinese)

    Google Scholar 

  • Jiang ZX (2007) Earthquake monitoring and emergency management in Sichuan Province from 1970 to 1976. Earthq Res Sichuan 1:27–31. https://doi.org/10.3969/j.issn.1001-8115.2007.01.006,inChinese

    Article  Google Scholar 

  • Keilis-Borok VI (1990) The lithosphere of the earth as a nonlinear system with implications for earthquake prediction. Rev Geophys 28:19–34

    Article  Google Scholar 

  • Keilis-Borok VI, Soloviev AA eds. (2003) Non-linear Dynamics of the Lithosphere and Earthquake Prediction. Springer, Heidelberg. https://www.springer.com/us/book/9783540435280

  • Latour B (2005) Reassembling the social: an introduction to actor-network-theory. Oxford University Press, Oxford

    Google Scholar 

  • Law J, Hassard J (eds) (1999) Actor network and after. Blackwell, Oxford

    Google Scholar 

  • Li SL (2009) On historical review and development strategy: mass observation and mass preparedness of earthquake disasters. J Inst Disaster-Prev Sci Technol 11(4):96–101. https://doi.org/10.3969/j.issn.1673-8047.2009.04.019,inChinese

    Article  Google Scholar 

  • Liu CL, Che YT, Wang GC (2004) Duality of large-scale macro-anomalies and their implication to earthquake prediction. Seismol Geol 26:340–346 (in Chinese)

    Google Scholar 

  • Liu XX, Liang GD, Song XY (2016) Current status and countermeasures: mass monitoring and preventing of earthquake in the Inner Mongolia Autonomous Region. J Inst Disaster-Prev Sci Technol 18(4):71–78. https://doi.org/10.3969/j.issn.1673-8047.2016.04.011 (in Chinese)

    Article  Google Scholar 

  • Lu SL, Qu BA, Cai Y, Zhang M, Zhao R, Yu C, Li B (2015) Statistical analysis of the relationship between macroscopic anomaly and earthquake. Earthq Res China 31:141–151 (in Chinese)

    Google Scholar 

  • Ma ZJ, Fu ZX, Zhang YZ, Wang CM, Zhang GM and Liu DF (1982) Earthquake Prediction: Nine Major Earthquakes in China (1966~1976). Seismological Press, Beijing, in Chinese; English version (1990), Springer-Verlag, Berlin.

  • Mayer-Schönberger V, Cukier K (2013) Big Data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, Boston

    Google Scholar 

  • Ohori M, Nakamura M, Wakamatsu K (2001) Digitized waveforms obtained from videotaped pictures of landscape shaking during large earthquakes. Seism Res Lett 72:430–439

    Article  Google Scholar 

  • Peresan A, Kossobokov V, Romashkova L, Panza GF (2005) Intermediate-term middle-range earthquake predictions in Italy: a review. Earth Sci Rev 69:97–132

    Article  Google Scholar 

  • Ran HM, Gao XQ, Zheng LM, Yang XF (2013) Construction of macroscopic observational network system in Xinjiang. Inland Earthq 27:20–28 (in Chinese)

    Google Scholar 

  • Rikitake T (1994) Nature of macro-anomaly precursory to an earthquake. J Phys Earth 42:149–163

    Article  Google Scholar 

  • Rikitake T, Oshiman N, Hayashi M (1993) Macro-anomaly and its application to earthquake prediction. Tectonophysics 222:93–106

    Article  Google Scholar 

  • Su XH, Zhang QY, Zhang XD, Zhang X, Li L, Liu JM, Huang JX, Su W (2013) Analysis on macroscopic anomalies before and after Lushan Ms7.0 earthquake based on Weibo. Technol Earthq Disaster Prev 8:451–458 (in Chinese)

    Google Scholar 

  • Sun QZ, Wu SG (2007) Development of the earthquake monitoring and prediction in China during 1966–2006. Seismological Press, Beijing (in Chinese)

    Google Scholar 

  • Surowiecki J (2004) The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economics, societies, and nations. Doubleday, New York

    Google Scholar 

  • Sutoh A, Hoshiya M, Hori M Saito Y (2003) Simplified measurement system and an identification procedure of strong ground motion using security video records. 9th International Conference on Applications of Statistics and Probability in Civil Engineering, 2003, San Francisco, USA, Proceedings, pp 1559–1564

  • Voinov AA, DeLuca C, Hood RR, Peckham S, Sherwood CR, Syvitski JPM (2010) A community approach to Earth systems modeling. EOS Trans Am Geophys Union 91(13):117–118

    Article  Google Scholar 

  • Wang KL, Chen QF, Sun SH, Wang AD (2006) Predicting the 1975 Haicheng earthquake. Bull Seismol Soc Am 96:757–795

    Article  Google Scholar 

  • Wikelski M, Mueller U, Scocco P, Catorci A, Desinov LV, Belyaev MY, Keim D, Pohlmeier W, Fechteler G, Mai M (2020) Potential short-term earthquake forecasting by farm animal monitoring. Ethology. https://doi.org/10.1111/eth.13078

    Article  Google Scholar 

  • Woith H, Petersen GM, Hainzl S, Dahm T (2018) Can animals predict earthquakes? Bull Seismol Soc Am 108(3A):1031–1045

    Article  Google Scholar 

  • Wu FT (1997) The annual earthquake prediction conference in China (national consultative meeting on seismic tendency). Pure Appl Geophys 149:249–264

    Article  Google Scholar 

  • Wu ZL (2018) Chapter 17: multi-scale seismic hazard in the context of the reduction of earthquake disaster risk: a case study on the earthquake forecast practice in China. In: Madu CR, Kuei CH (eds) Handbook of disaster risk reduction & management. World Scientific, New Jersey, pp 433–449

    Google Scholar 

  • Wu ZL (2020) Seismic experimental sites: challenges and opportunities. Editorial. Jour Geol Soc India 95:113–116. https://doi.org/10.1007/s12594-020-1400-9

    Article  Google Scholar 

  • Yang XL, Wu ZL, Jiang CS, Xia M (2011a) Estimating intensities and/or strong motion parameters using civilian monitoring videos: the May 12, 2008, Wenchuan earthquake. Pure Appl Geophys 168:753–766

    Article  Google Scholar 

  • Yang XL, Wu ZL, Li YC (2011) Difference between real-life escape panic and mimic exercises in simulated situation with implications to the statistical physics models of emergency evacuation: the 2008 Wenchuan earthquake. Phys A 390:2375–2380

    Article  Google Scholar 

  • Yang XL, Wu ZL (2013) Civilian monitoring video records for earthquake intensity: a potentially unbiased online information source of macro-seismology. Nat Hazards 65:1765–1781

    Article  Google Scholar 

  • Zhang DK, Li HL (2015) Thinking of macroscopic anomaly collection before earthquake. Earthq Res Shanxi 4:43–44. https://doi.org/10.3969/j.issn.1000-6265.2015.04.010 (in Chinese)

    Article  Google Scholar 

  • Zhang XT, Zhang YX, Xu DH (2009) Investigation of the macroscopic anomalies before and after the Wenchuan M8.0 earthquake. Earthquake 29:104–117 (in Chinese)

    Google Scholar 

  • Zhang QY, Huang JX, Zhang XD, Su XH, Zhang X (2013) Micro-blog application in extracting information of earthquake macro-anomalies. Technol Earthq Disaster Prev 8:459–467 (in Chinese)

    Google Scholar 

  • Zhang YF, Chang ZF, Peng YZ, Zhang YH (2018) Discuss on macro-anomalies of the Yunnan Yingjiang M6.1 earthquake and its relation of tectonics. J Seismol Res 41:148–156 (in Chinese)

    Google Scholar 

  • Zhao XM, Li YL, Huang FQ, Shao HC, Wang X, Chen HJ, Dai WQ (2007) Chemical genesis of macroscopical phenomenon of well group in Bijia Town, Huaxian County, Shanxi Province. Earthq Res China 23:84–92 (in Chinese)

    Google Scholar 

  • Zhu TY, Li HD (2018) Discussion on the present situation and countermeasures of community survey and prevention of seismic disaster at county level. Recent Dev World Seismol 10:37–40 (in Chinese)

    Google Scholar 

Download references

Acknowledgements

Thanks to the editorial group of this Special Issue for the invitation, to Profs. V. G. Kossobokov and A. Zavyalov for stimulating discussion, and to the anonymous reviewers for their constructive and informative comments. Mr. K. Wang and Prof. W.Y. Liu provided the authors with useful information. This work is supported by National Natural Science Foundation of China (NSFC) (Grant No. U2039207) and the National Key Research and Development Program of China (Grant No. 2018YFE0109700).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongxian Zhang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, Z., Zhang, Y. Community/Public Approach to Earthquake Forecasting in the Era of Big Data: An On-going Endeavor in China. Surv Geophys 43, 661–672 (2022). https://doi.org/10.1007/s10712-021-09661-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10712-021-09661-5

Keywords

Navigation