[1] 刘耀炜. 我国地震地下流体科学40年探索历程回顾[J]. 中国地震, 2006, 22(3): 222-235. LIU Yao-wei. Review of the research progress on the seismological science of underground fluid in China during last 40 years[J]. Earthquake Research in China, 2006, 22(3): 222-235 (in Chinese). [2] 杨明波, 王吉易, 刘喜兰, 等. 北京及邻近地区中等以上地震地下流体异常识别与特征研究[J]. 地震, 2006, 26(3): 53-63. YANG Ming-bo, WANG Ji-yi, LIU Xi-lan, et al. Study on recognition of fluid anomaly and its characteristics for moderately strong earthquakes in Beijing region and its adjacent area[J]. Earthquake, 2006, 26(3): 53-63 (in Chinese). [3] 司学芸, 孙小龙, 邵志刚, 等. 南北地震带流体资料趋势性转折与强震的关系[J]. 中国地震, 2013, 29(1): 148-156. SI Xue-yun, SUN Xiao-long, SHAO Zhi-gang, et al. Analysis of the relationship between the trend turnings in groundwater changes and the strong earthquake activities in north-south seismic belt[J]. Earthquake Research in China, 2013, 29(1): 148-156 (in Chinese). [4] 孙小龙, 王广才, 晏锐. 利用概率密度分布提取流体观测资料中的高频异常信息以2008年汶川8.0级地震为例[J]. 地球物理学报, 2016, 59(5): 1673-1684. SUN Xiao-long, WANG Guang-cai, YAN Rui. Extracting high-frequency anomaly information from fluid observational data: A case study of the Wenchuan MS8.0 earthquake of 2008[J]. Chinese Journal of Geophysics, 2016, 59(5): 1673-1684 (in Chinese). [5] 余丹, 刘春国, 王晓, 等. 集合经验模态分解(EEMD)在地下水位数据处理中的应用初探[J]. 中国地震, 2019, 35(2): 337-346. YU Dan, LIU Chun-guo, WANG Xiao, et al. Application of ensemble empirical mode decomposition (EEMD) in underground fluid data processing[J]. Earthquake Research in China, 2019, 35(2): 337-346 (in Chinese). [6] von Asmuth J R, Bierkens M F P, Maas K. Transfer function-noise modeling in continuous time using predefined impulse response functions[J]. Water Resources Research, 2002, 38(12): 23-1-23-12. [7] von Asmuth J R, Maas K, Bakker M, et al. Modeling time series of ground water head fluctuations subjected to multiple stresses[J]. Ground Water, 2008, 46(1): 30-40. [8] Bakker M, Schaars F. Solving groundwater flow problems with time series analysis: You may not even need another model[J]. Ground Water, 2019, 57(6): 826-833. [9] Grinsted A, Moore J C, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series[J]. Nonlinear Processes in Geophysics, 2004, 11(5-6): 561-566. [10] Kisi O. Wavelet regression model for short-term streamflow forecasting[J]. Journal of Hydrology, 2010, 389(3-4): 344-353. [11]Yang G X, McCoy K. Modeling groundwater-level responses to multiple stresses using transfer-function models and wavelet analysis in a coastal aquifer system[J]. Journal of Hydrology, 2023, 627: 130426. [12] Slooten L J, Carrera J, Castro E, et al. A sensitivity analysis of tide-induced head fluctuations in coastal aquifers[J]. Journal of Hydrology, 2010, 393(3-4): 370-380. [13] 赵栋, 易立新, 王广才, 等. 地下水位中地震前兆信息提取方法研究[J]. 西北地震学报, 2013, 35(2): 334-341. ZHAO Dong, YI Li-xin, WANG Guang-cai, et al. Research on the technology of extracting earthquake precursor information from groundwater level[J]. Northwestern Seismological Journal, 2013, 35(2): 334-341 (in Chinese). [14] Sato T, Matsumoto N, Kitagawa Y, et al. Changes in groundwater level associated with the 2003 Tokachi-oki earthquake[J]. Earth, Planets and Space, 2004, 56(3): 395-400. [15] Johansen A, Saleur H, Sornette D. New evidence of earthquake precursory phenomena in the 17 January 1995 Kobe earthquake, Japan[J]. The European Physical Journal B-Condensed Matter and Complex Systems, 2000, 15: 551-555. [16] 车用太. 地下水动态映震理论与预报地震方法[J]. 地震, 1990, 10(6): 19-25. CHE Yong-tai. On precursor theory and prodiction method of groundwater behavior[J]. Earthquake, 1990, 10(6): 19-25 (in Chinese). [17] 车用太, 杨会年. 井孔水位微动态形成机理的探讨[J]. 地震地质, 1985, 7(3): 43-50. CHE Yong-tai, YANG Hui-nian. Discussion on mechanism of microbehaviour of groundwater level in a borehole[J]. Seismology and Geology, 1985, 7(3): 43-50 (in Chinese). [18] Zhang H, Shi Z M, Wang G C, et al. Different sensitivities of earthquake-induced water level and hydrogeological property variations in two aquifer systems[J]. Water Resources Research, 2021, 57(5): e2020WR028217. |