Abstract
For a better understanding of possible physical links between geophysical observables and earthquake characteristics, it is important to analyze statistical spatiotemporal patterns in nature related to such events. For this purpose, characteristic changes in groundwater level (GWL) were observed before and after the 2016 Kumamoto earthquake in Japan. Previous research has shown that self-organizing maps (SOM) can be used to classify complex patterns of GWL-change during different parts of the earthquake sequence. In this study, we used before and after earthquake GWL data as input vectors to SOM. In total, 64 observed GWLs were classified into 12 different clusters. Most shallow wells displayed GWL difference that was small during the foreshock (first earthquake) and large during the main-shock (second earthquake). Upstream deep wells showed relatively large difference in water level from 1 to 2 days after the earthquakes. The GWL rapidly increased just after the earthquake, then tended to gradually decrease from September. Most of the shallow wells in the unconfined aquifer rapidly recovered to initial GWLs within several hours to several days, because of hydrostatic pressure. However, most of the deep wells in the confined aquifer needed longer time to recover, in some cases several weeks to several months. These findings are important for the physical understanding of earthquake effects on the groundwater environment, disaster prevention, and possibility for development of earthquake precursors.
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References
Barberio MD, Barbieri M, Billi A, Doglioni C, Petitta M (2017) Hydrogeochemical changes before and during the 2016 Amatrice-Norcia seismic sequence (central Italy). Sci Rep 7:1–12. https://doi.org/10.1038/s41598-017-11990-8
Bedoya D, Novotny V, Manolakos ES (2009) Instream and offstream environmental conditions and stream biotic integrity. Importance of scale and site similarities for learning and prediction. Ecol Modell 220:2393–2406. https://doi.org/10.1016/j.ecolmodel.2009.06.017
Chia Y, Wang YS, Chiu JJ, Liu CW (2001) Changes of groundwater level due to the 1999 Chi-Chi earthquake in the Choshui River alluvial fan in Taiwan. Bull Seismol Soc Am 91:1062–1068. https://doi.org/10.1785/0120000726
Chia Y, Chiu JJ, Chiang YH, Lee TP, Liu CW (2008) Spatial and temporal changes of groundwater level induced by thrust faulting. Pure appl Geophys 165:5–16. https://doi.org/10.1007/s00024-007-0293-5
Cox SC, Rutter HK, Sims A, Manga M, Weir JJ, Ezzy T, White PA, Horton TW, Scott D (2012) Hydrological effects of the MW 7.1 Darfield (Canterbury) earthquake, 4 September 2010, New Zealand. New Zeal J Geol Geophys 55:231–247. https://doi.org/10.1080/00288306.2012.680474
García HL, González IM (2004) Self-organizing map and clustering for wastewater treatment monitoring. Eng Appl Artif Intell 17:215–225. https://doi.org/10.1016/j.engappai.2004.03.004
Hentati A, Kawamura A, Amaguchi H, Iseri Y (2010) Evaluation of sedimentation vulnerability at small hillside reservoirs in the semi-arid region of Tunisia using the self-organizing map. Geomorphology 122:56–64. https://doi.org/10.1016/j.geomorph.2010.05.013
Hosono T, Tokunaga T, Kagabu M, Nakata H, Orishikida T, Lin IT, Shimada J (2013) The use of δ15N and δ18O tracers with an understanding of groundwater flow dynamics for evaluating the origins and attenuation mechanisms of nitrate pollution. Water Res 47:2661–2675. https://doi.org/10.1016/j.watres.2013.02.020
Hosono T, Tokunaga T, Tsushima A, Shimada J (2014) Combined use of δ13C, δ15N, and δ34S tracers to study anaerobic bacterial processes in groundwater flow systems. Water Res 54:284–296. https://doi.org/10.1016/j.watres.2014.02.005
Hosono T, Hartmann J, Louvat P, Amann T, Washington KE, West AJ, Okumura K, BÖttcher ME, Gaillardet J (2018) Earthquake-induced structural deformations enhance long-term solute fluxes from active volcanic systems. Sci Rep 8:14809. https://doi.org/10.1038/s41598-018-32735-1
Hossain S, Hosono T, Ide K, Matsunaga M, Shimada J (2016a) Redox processes and occurrence of arsenic in a volcanic aquifer system of Kumamoto Area, Japan. Environ Earth Sci 75:1–19. https://doi.org/10.1007/s12665-016-5557-x
Hossain S, Hosono T, Yang H, Shimada J (2016b) Geochemical processes controlling fluoride enrichment in groundwater at the western part of Kumamoto Area. Japan. Water Air Soil Pollut 227:385. https://doi.org/10.1007/s11270-016-3089-3
Ishihara S, Kawamura A, Amaguchi H, Takasaki T, Kawai M (2013) Evaluation of characteristics of groundwater level fluctuation in Tokyo by the 2011 off the Pacific coast of Tohoku Earthquake using self-organizing maps. J Jpn Soc Civil Eng Ser BI (Hydraul Eng) 69(4):I_541–I_546
Japan Meteorological Agency (2018) Weather observation data. Japan Meteorological Agency Web. http://www.jma.go.jp/jma/index.html. Accessed 16 Nov 2018
Jin YH, Kawamura A, Park SC, Nakagawa N, Amaguchi H, Olsson J (2011) Spatiotemporal classification of environmental monitoring data in the Yeongsan River basin, Korea, using self-organizing maps. J Environ Monit 13:2886–2894. https://doi.org/10.1039/c1em10132c
Kagabu M, Matsunaga M, Ide K, Momoshima N, Shimada J (2017) Groundwater age determination using 85Kr and multiple age tracers (SF6, CFCs, and 3H) to elucidate regional groundwater flow systems. J Hydrol Reg Stud 12:165–180. https://doi.org/10.1016/j.ejrh.2017.05.003
Kalteh AM, Berndtsson R (2007) Interpolating monthly precipitation by self-organizing map (SOM) and multilayer perceptron (MLP). Hydrol Sci J 52:305–317. https://doi.org/10.1623/hysj.52.2.305
Kohonen T (2001) Self-organizing maps, 3rd edn. Springer, Berlin
Liu C-Y, Chia Y, Chuang P-Y, Chiu Y-C, Tseng T-L (2018) Impacts of hydrogeological characteristics on groundwater-level changes induced by earthquakes. Hydrogeol J 26:451–465. https://doi.org/10.1007/s10040-017-1684-z
Manga M, Wang C-Y (2015) Earthquake hydrology. In: Gerald S (ed) Treatise on geophysics, vol 4, 2nd edn. Elsevier, Oxford, pp 305–328
Miyoshi M, Furukawa K, Shinmura T, Shimono M, Hasenaka T (2009) Petrography and whole-rock geochemistry of pre-Aso lavas from the caldera wall of Aso volcano, central Kyushu. J Geol Soc Jpn 115:672–687. https://doi.org/10.5575/geosoc.115.672 (in Japanese with English abstract)
Nakagawa K, Amano H, Kawamura A, Berndtsson R (2017) Classification of groundwater chemistry in Shimabara, using self-organizing maps. Hydrol Res 48:840–850. https://doi.org/10.2166/nh.2016.072
Nguyen TT, Kawamura A, Tong TN, Nakagawa N, Amaguchi H, Gilbuena R (2014) Spatial classification of groundwater monitoring data in the Red River Delta, Vietnam using self-organizing maps. Ann J Hydraul Eng JSCE 70(4):I_241–I_246. https://doi.org/10.2208/jscejhe.70.I_241
Nguyen TT, Kawamura A, Tong TN, Nakagawa N, Amaguchi H, Gilbuena R (2015) Clustering spatio-seasonal hydrogeochemical data using self-organizing maps for groundwater quality assessment in the Red River Delta, Vietnam. J Hydrol 522:661–673. https://doi.org/10.1016/j.jhydrol.2015.01.023
Roeloffs EA (1988) Hydrologic precursors to earthquakes: a review. Pure Appl Geophys PAGEOPH 126:177–209. https://doi.org/10.1007/BF00878996
Shi Z, Wang G, Manga M, Wang CY (2015) Mechanism of co-seismic water level change following four great earthquakes-insights from co-seismic responses throughout the Chinese mainland. Earth Planet Sci Lett 430:66–74. https://doi.org/10.1016/j.epsl.2015.08.012
Shirahama Y, Yoshimi M, Awata Y, Maruyama T, Azuma T, Miyashita Y, Mori H, Imanishi K, Takeda N, Ochi T, Otsubo M, Asahina D, Miyakawa A (2016) Characteristics of the surface ruptures associated with the 2016 Kumamoto earthquake sequence, central Kyushu, Japan. Earth Planets Space 68:1–12. https://doi.org/10.1186/s40623-016-0559-1
Tsunogai U, Wakita H (1995) Precursory chemical changes in ground water: kobe earthquake, Japan. Science 269:61–63. https://doi.org/10.1126/science.269.5220.61
Vesanto J, Himberg J, Alhoniemi E, Parahankangas J (2000) SOM toolbox for Matlab 5, Helsinki University of Technology report A57
Wang CY, Chia Y (2008) Mechanism of water level changes during earthquakes: near field versus intermediate field. Geophys Res Lett 35:1–5. https://doi.org/10.1029/2008GL034227
Wang CY, Manga M (2010) Hydrologic responses to earthquakes and a general metric. Front Geofluids 15:206–216. https://doi.org/10.1002/9781444394900.ch14
Yamazaki F, Liu W (2016) Remote sensing technologies for post-earthquake damage assessment: a case study on the 2016 Kumamoto earthquake. In: 6th ASIA conference on earthquake engineering, at Cebu City, Philippines
Yu H, Song Y, Liu R, Pan H, Xiang L, Qian F (2014) Identifying changes in dissolved organic matter content and characteristics by fluorescence spectroscopy coupled with self-organizing map and classification and regression tree analysis during wastewater treatment. Chemosphere 113:79–86. https://doi.org/10.1016/j.chemosphere.2014.04.020
Yu ZQ, Amano H, Nakagawa K, Berndtsson R (2018) Hydrogeochemical evolution of groundwater in a Quaternary sediment and Cretaceous sandstone unconfined aquifer in Northwestern China. Environ Earth Sci 77:629. https://doi.org/10.1007/s12665-018-7816-5
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This work was financially supported by JSPS KAKENHI under Grant No. JP17H01861 and SUNTORY Kumamoto groundwater research project.
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This article is a part of the Topical Collection in Environmental Earth Sciences on “Groundwater Resources and Sustainability” guest edited by Nam C. Woo, Xiaosi Su, Kangjoo Kim and Yu-Chul Park.
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Nakagawa, K., Yu, ZQ., Berndtsson, R. et al. Analysis of earthquake-induced groundwater level change using self-organizing maps. Environ Earth Sci 78, 455 (2019). https://doi.org/10.1007/s12665-019-8473-z
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DOI: https://doi.org/10.1007/s12665-019-8473-z