地震预测预报研究议程的演变: 文献计量分析的启示

Abstract

Abstract: In this paper, using Web of Science core database as the data resource, and with CiteSpace as the analysis tool, three issues are discussed based on bibiliometrics, which are ① the development process of earthquake forecast/prediction, from January 1, 1960 to December 31, 2017, ② the decade evolution of research agenda from January 1, 1968 to December 31, 2017, and ③ the main research agenda of earthquake forecast/prediction from January 1, 2008 to September 1, 2018. These analyses could provide references for research on earthquake forecast/prediction and strageties. Our results show that the processes of research on earthquake forecast/prediction have been in dynamic development. Especially, research agenda in each period of time gradually have more diversified growing trend, and tend towards more in-depth and detailed study stage promoted by important events.

Key words: Earthquake forecast/prediction, Citation analysis, CiteSpace, Web of Science

CLC Number:

P315.7

ZHANG Yan, WU Zhong-liang, LI Jia-wei. Agenda Evolution of Earthquake Forecast/Prediction Research: Inspiration from Bibliometric Analysis[J]. EARTHQUAKE, 2019, 39(2): 159-173.

References

[1] 王晓娜, 隋松苓, 范菊美. 《世界地震工程》1995—2000年论文的统计分析[J]. 世界地震工程, 2001, 17: 122-124.
[2] 董军. 地震科学主流期刊总被引频次的分析[J]. 国际地震动态, 2004, (增刊): 102.
[3] 吕金霞, 王晓青. 1994—2002年地震研究文献计量分析[J]. 地震, 2004, 24: 131-136.
[4] 于山, 张玉敏, 苏幼坡. 《世界地震工程》被引特征的统计分析[J]. 世界地震工程, 2005, 21: 159-162.
[5] 吴琼. 1985—2010《中国地震》载文被引分析[J]. 中国地震, 2012, 28: 441-448.
[6] 吴琼. 1985—2010《中国地震》高被引论文分析[J]. 国际地震动态, 2013, (5): 31-38.
[7] 季婉婧, 王金平. 基于文献计量的国际地震地质科学研究发展态势分析[J]. 世界科技研究与发展, 2017, 39: 275-283.
[8] 张静. 引文、引文分析与学术论文评价[J]. 社会科学管理与评论, 2008, 1: 33-38.
[9] 邱均平. 信息计量学(九)第九讲文献信息引证规律和引文分析法[J]. 情报理论与实践, 2001, 3: 236-240.
[10] Chen C M. Searching for intellectual turning points: Progressive knowledge domain visualization[J]. Proceedings of the National Academy of Sciences, 2004, 101: 5303-5310.
[11] Chen C M. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the America Society for Information and Technology, 2006, 57: 359-377.
[12] Chen C M, lbekwe-Sanjuan F, Hou J H. The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis[J]. Journal of the America Society for Information and Technology, 2010, 61: 1386-1409.
[13] Chen C M. Cascading citation expansion[J]. Journal of Information Science Theory and Practice, 2018, 6: 6-23.
[14] 侯建华, 胡志刚. CiteSpace软件应用研究的回顾与展望[J]. 现代情报, 2013, 33: 99-103.
[15] 李杰, 陈超美. CiteSpace: 科技文本挖掘及可视化[M]. 北京: 首都经济贸易大学出版社, 2016.
[16] 林德明, 刘则渊. 国际地震预测预报研究现状的文献计量分析[J]. 中国软科学, 2008, 6: 62-70.
[17] Gardner J K, Knopoff L. Is the sequence of earthquake in Southern California, with aftershocks removed, poissonian[J]? Bulletin of the Seismological Society of America, 1974, 64: 1363-1367.
[18] 赵丹群. 基于CiteSpace的科学知识图谱绘制若干问题探讨[J]. 情报理论与实践, 2012, 35: 56-58.
[19] Geller R J. Earthquake prediction: A critical review[J]. Geophysical Journal International, 1997, 131: 425-450.
[20] 陈运泰. 地震预测–进展、困难与前景[J]. 地震地磁观测与研究, 2007, 28(2): 1-24.
[21] Jordan T H, Chen Y T, Gasparini P, et al. Operational Earthquake Forecasting: State of Knowledge and Guidelines for Utilization[J]. Annals of Geophysics, 2011, 54: 315-391.
[22] Anonymous. Works on earthquake forecast at the Academy-of-Sciences-of-the-Tajik-SSR. Vestnik Akademii Nauk Sssr, 1984, 5: 60-64.
[23] Sadovsky M A. State and prospects of scientific-research on earthquake forecast. Vestnik Akademii Nauk Sssr, 1985, 10: 26-38.
[24] Kerr R A. Earthquake forecast endorsed[J]. Science, 1985, 228: 311.
[25] 吴忠良, 蒋长胜. 近期国际地震预测预报研究进展的几个侧面[J]. 中国地震, 2005, 21: 103-112.
[26] Scholz C H, Sykes L R, Aggarwal Y P. Earthquake prediction-physical basis[J]. Science, 1973, 181: 803-810.
[27] Sykes L R. Aftershock zones of great earthquakes, seismicity gaps, and earthquake prediction for Alaska and Aleutians[J]. Journal of Geophysical Research, 1971, 76: 8021-8041.
[28] Whitcomb J H, Garmany J D, Anderson D L. Earthquake prediction: variation of seismic velocities before San-Francisco earthquake[J]. Science, 1973, 180: 632-635.
[29] Bakun W H, Lindh A G. The Parkfield, California, Earthquake prediction experiment[J]. Science, 1985, 229: 619-624.
[30] Allegre C J, Lemouel J L, Provost A. Scaling rules in rock fracture and possible implications for earthquake prediction[J]. Nature, 1982, 297: 47-49.
[31] King C Y. Gas geochemistry applied to earthquake prediction: An overview[J]. J Geophys Res, 1986, 91: 2269-2281.
[32] Stein R S, Barka A A, Dieterich J H. Progressive failure on the North Anatolian fault since 1939 by earthquake stress triggering[J]. Geophys J Inter, 1997, 128: 594-604.
[33] Lockner D. The role of acoustic-emission in the study of rock fracture[J]. International Journal of Rock Mechanics and Mining Sciences, 1993, 30: 883-899.
[34] Sornette D, Sammis C G. Complex critical exponents from renormalization-group theory of earthquake-implications for earthquake predictions[J]. Journal de Physique I, 1995, 5: 607-619.
[35] Marone C. Laboratory-derived friction laws and their application to seismic faulting[J]. Aunual Review of Earth and Planetary Sciences, 1998, 26: 643-696.
[36] Toutain J P, Baubron J C. Gas geochemistry and seismotectonics: a review[J]. Tectonophysics, 1999, 304: 1-27.
[37] Sarewitz D. How science makes environmental controversies worse[J]. Environmental Science & Policy, 2002, 7: 385-403.
[38] Cicerone R D, Ebel J E, Britton J. A systematic compilation of earthquake precursors[J]. Tectonophysics, 2009, 476: 371-396.
[39] Uyeda S, Nagao T, Kamogawa M. Short-term earthquake prediction: Current status of seismo-electromagnetics[J]. Tectonophysics, 2009, 470: 205-213.
[40] Toda S, Stein R S, Richards-Dinger K, et al. Forecasting the evolution of seismicity in southern California: Animations built on the earthquake stress transfer[J]. J Geophys Res, 2005, 110, B05S16.
[41] Helmstetter A, Kagan Y Y, Jackson D D. Comparison of short-term and time-independent earthquake forecast models for southern California[J]. Bulletin of the Seismological Society of America, 2006, 96: 90-106.
[42] Toda S, Stein R S. Response of the San Andreas Fault to the 1983 Coalinga-Nunez earthquakes: An application of interaction-based probabilities for Parkfield[J]. J Geophys Res, 2002, 107, B6(2126).
[43] Zechar J D, Schorlemmer D, Liukis M, et al. The Collaboratory for the Study of Earthquake Predictability perspective on computational earthquake science[J]. Concurrency and Computation: Practice and Experience, 2008.
[44] Zechar J D, Gerstenberger M C, Rhoades D A. Likelihood-Based tests for evaluating space-rate-magnitude earthquake forecasts[J]. Bull Seismol Soc Amer, 2010, 100: 1184-1195.
[45] Marzocchi W, Lombardi A M. Real-time forecasting following a damaging earthquake[J]. Geophys Res Lett, 2009, 36(L21302).
[46] Werner M J, Zechar J D, Marzocchi W, et al. Retrospective evaluation of the five-year and ten-year CSEP-Italy earthquake forecasts[J]. Annals of Geophysics, 2010, 53: 11-30
[47] Priyadarshi S, Kumar S, Singh A K. Ionospheric perturbations associated with two recent major earthquakes (M>5.0) [J]. Physica Scripta, 2011, 84(4): 1-12.
[48] Potirakis S M, Contoyiannis Y, Asano T, et al. Intermittency-induced criticality in the lower ionosphere prior to the 2016 Kumamoto earthquakes as embedded in the vlf propagation data observed at multiple stations[J]. Tectonophysics, 2018a, 722: 422-431.
[49] Potirakis S M, Asano T, Hayakawa M. Criticality analysis of the lower ionosphere perturbations prior to the 2016 Kumamoto (Japan) earthquakes as based on vlf electromagnetic wave propagation data observed at multiple stations[J]. Entropy, 2018b, 20(3): 1-17.
[50] Mignan A. The stress accumulation model: accelerating moment release and seismic hazard[J]. Advances in Geophysics, 2008, 49: 67-201.
[51] Chaudhuri H, Bari W, Iqbal N, et al. Long range gas-geochemical anomalies of a remote earthquake recorded simultaneously at distant monitoring stations in India[J]. Geochemical Journal, 2011, 45: 137-156.
[52] Chen C H, Lin C H, Wang C H, et al. Potential relationships between seismo-deformation and seismo-conductivity anomalies[J]. Journal of Asian Earth Sciences, 2015, 114: 327-337.
[53] Cenni N, Viti M, Mantovani E. Space geodetic data (GPS) and earthquake forecasting: examples from the Italian geodetic network[J]. Bollettino di Geofisica Teorica ed Applicata, 2015, 56: 129-150.
[54] Qin K, Wu L X, De Santis A, et al. Quasi-synchronous multi-parameter anomalies associated with the 2010-2011 New Zealand earthquake sequence[J]. Natural Hazards and Earth System Sciences, 2012, 12: 1059-1072.
[55] Peng Z G, Gomberg J. An integrated perspective of the continuum between earthquakes and slow-slip phenomena[J]. Nature Geoscience, 2010, 3: 599-607.
[56] Woessner J, Hainzl S, Marzocchi W, et al. A retrospective comparative forecast test on the 1992 Landers sequence[J]. J Geophys Res, 2011, 116, B05305.
[57] Martínez-álvarez F, Reyes J, Morales-Esteban A, et al. Determining the best set of seicmicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula[J]. Knowledge-Based Systems, 2013, 50: 198-210.
[58] Morales-Esteban A, Martínez-álvarez F, Reyes J. Earthquakes prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence[J]. Tectonophysics, 2013, 593: 121-134.
[59] Lombardi A M, Marzocchi W. The Etas model for daily forecasting of Italian seismicity in the CSEP experiment[J]. Annals of Geophysics, 2010, 53: 155-164.
[60] Zhuang J C. Next-day earthquake forecasts for the Japan region generated by the Etas model[J]. Earth Planets and Space, 2011, 63: 207-216.
[61] Ishibe T, Shimazaki K, Tsuruoka H, et al. Correlation between coulomb stress changes imparted by large historical strike-slip earthquakes and current seismicity in Japan[J]. Earth Planets and Space, 2011, 63: 301-314.
[62] Zeng X P, Lin Y F, Chen W S, et al. Multiple seismo-anomalies associated with the m6.1 Ludian earthquake on August 3, 2014[J]. Journal of Asian Earth Sciences, 2015, 114: 352-361.
[63] Lolli B, Gasperini P, Boschi E. Time variations of aftershock decay parameters of the 2009 April 6 L'Aquila (central Italy) earthquake: evidence of the emergence of a negative exponential regime superimposed to the power law[J]. Geophys J Inter, 2011, 185: 764-774
[64] Norbeck J H, Rubinstein J L. Hydromechanical earthquake nucleation model forecasts onset, peak, and falling rates of induced seismicity in Oklahoma and Kansas[J]. Geophys Res Lett, 2018, 45: 2963-2975.
[65] Field E H, Milner K R, Hardebeck J L, et al. A spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3-Etas): toward an operational earthquake forecast[J]. Bull Seismol Soc Amer, 2017a, 107: 1049-1081.
[66] Field E, Jordan T H, Page M T, et al. A synoptic view of the Third Uniform California Earthquake Rupture Forecast (UCERF3)[J]. Seismol Res Lett, 2017b, 88: 1259-1267.
[67] Zhao Y Z, Wu Z L, Jiang C S, et al. Reverse tracing of precursors applied to the annual earthquake forecast: retrospective test of the annual consultation in the Sichuan-Yunnan region of Southwest China[J]. Pure and Applied Geophysics, 2010, 167: 783-800.
[68] Jiang C S, Wu Z L. Pi forecast for the Sichuan-Yunnan region: retrospective test after the May 12, 2008, Wenchuan earthquake[J]. Pure and Applied Geophysics, 2010, 167: 751-761.
[69] Stein S, Spencer B D, Brooks E M. Metrics for assessing earthquake-hazard map performance[J]. Bull Seismol Soc Amer, 2015, 105(4): 1-14.
[70] Wang J P, Huang D, Cheng C T, et al. Seismic hazard analyses for Taipei city including deaggregation, design spectra, and time history with excel applications[J]. Computers & Geosciences, 2013, 52: 146-154.
[71] Chen C M. Mapping Scientific Frontiers: the Quest for Knowledge Visualization[M]. 2^nd ed. 2014 edition. Springer, 2013.
[72] Kennedy D, Norman C. What Don’t we know?[J]. Science, 2005, 309: 75-75.

Agenda Evolution of Earthquake Forecast/Prediction Research: Inspiration from Bibliometric Analysis

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