Abstract
Land subsidence is a geological disaster, which has a variety of inducements. This paper presents the results on the investigation of the soil deformation in land subsidence with a combination of laboratory and field experiments using the distributed fiber optics sensing (DFOS) technology. The laboratory experiment was mainly carried out to study the soil deformation in draining–recharging cycles based on Brillouin optical frequency domain analysis (BOFDA). In the field experiment, the BOFDA technology and some grating sensors were applied in a borehole in the Yangtze River Delta region, to monitor the pore pressure in certain specific strata and the change in strata parameter of the full borehole with the data that monitored 2 years. The result of the laboratory experiment demonstrated that the soil structures changed in the draining–recharging cycles. The soil gradually tends toward elastic deformation. The field experiment results show that the main deformation occurs at the aquitards adjacent to the pumping aquifer. The compression amount in the vertical distribution is not uniform which is related to the distance from the pumping aquifer and the soil properties. The compressive deformation of each layer is closely related to the change in groundwater level. The result proposes that the BOFDA technology is suitable for monitoring land subsidence caused by seasonal water-level fluctuations and dewatering projects. It is also of great significance to investigate land subsidence mechanisms.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abidin HZ et al (2001) Land subsidence of Jakarta (Indonesia) and its geodetic monitoring system. Natural Hazards 23:365–387. https://doi.org/10.1023/a:1011144602064
Barrias A, Casas JR, Villalba S (2016) A review of distributed optical fiber sensors for civil engineering applications. Sensors. https://doi.org/10.3390/s16050748
Chen J (2003) Prospect of InSAR-GPS integration of research into land subsidence. Remote Sens Inf 18:48–50
Chen X-x, Luo Z-j, Zhou S-l (2014) Influences of soil hydraulic and mechanical parameters on land subsidence and ground fissures caused by groundwater exploitation. J Hydrodyn 26:155–164. https://doi.org/10.1016/s1001-6058(14)60018-4
Dehghani M, Zoej MJV, Entezam I, Mansourian A, Saatchi S (2009) InSAR monitoring of progressive land subsidence in Neyshabour, northeast Iran. Geophys J Int 178:47–56. https://doi.org/10.1111/j.1365-246x.2009.04135.x
Gao J, Shi B, Zhang W, Ke M, Liu H, Zhang D (2005) Application of distributed fiber optic sensor to bridge and pavement health monitoring. J Disaster Prev Mitig Eng 25:14–19
Hung W-C, Hwang C, Liou J-C, Lin Y-S, Yang H-L (2012) Modeling aquifer-system compaction and predicting land subsidence in central Taiwan. Eng Geol 147:78–90. https://doi.org/10.1016/j.enggeo.2012.07.018
Jiang H (2005) Problems and discussions in the study of land subsidence in the Suzhou-Wuxi-Changzhou area. Quat Sci 25:29–33
Li HN, Li DS, Song GB (2004) Recent applications of fiber optic sensors to health monitoring in civil engineering. Eng Struct 26:1647–1657. https://doi.org/10.1016/j.engstruct.2004.05.018
Luo J, Liu J, Kong Y, Wang J, Liu D (2017) Research on Tianjin land subsidence with GPS. Hydrogr Surv Charting 37:60–62
Meng L, Wang L, Hou Y, Yan G (2017) A research on low modulus distributed fiber optical sensor for pavement material strain monitoring. Sensors. https://doi.org/10.3390/s17102386
Miguel Lopez-Higuera J, Rodriguez Cobo L, Quintela Incera A, Cobo A (2011) Fiber optic sensors in structural health monitoring. J Lightwave Technol 29:587–608. https://doi.org/10.1109/jlt.2011.2106479
Pacheco-Martinez J, Hernandez-Marin M, Burbey TJ, Gonzalez-Cervantes N, Angel Ortiz-Lozano J, Eduardo Zermeno-De-Leon M, Solis-Pinto A (2013) Land subsidence and ground failure associated to groundwater exploitation in the Aguascalientes Valley, Mexico. Eng Geol 164:172–186. https://doi.org/10.1016/j.enggeo.2013.06.015
Phien-wej N, Giao PH, Nutalaya P (2006) Land subsidence in Bangkok, Thailand. Eng Geol 82:187–201. https://doi.org/10.1016/j.enggeo.2005.10.004
Reinsch T, Henninges J, Asmundsson R (2013) Thermal, mechanical and chemical influences on the performance of optical fibres for distributed temperature sensing in a hot geothermal well. Environ Earth Sci 70:3465–3480. https://doi.org/10.1007/s12665-013-2248-8
Ruiz-Constan A et al (2016) Multi-temporal InSAR evidence of ground subsidence induced by groundwater withdrawal: the Montellano aquifer (SW Spain). Environ Earth Sci. https://doi.org/10.1007/s12665-015-5051-x
Selker JS et al (2006) Distributed fiber-optic temperature sensing for hydrologic systems. Water Resour Res. https://doi.org/10.1029/2006wr005326
Shi X et al (2008) Regional land subsidence simulation in Su-Xi-Chang area and Shanghai City. China Eng Geol 100:27–42. https://doi.org/10.1016/j.enggeo.2008.02.011
Shi X, Fang R, Wu J, Xu H, Sun Y, Yu J (2012) Sustainable development and utilization of groundwater resources considering land subsidence in Suzhou. China Eng Geol 124:77–89. https://doi.org/10.1016/j.enggeo.2011.10.005
Sun Y-j, Zhang D, Shi B, Tong H-j, Wei G-q, Wang X (2014) Distributed acquisition, characterization and process analysis of multi-field information in slopes. Eng Geol 182:49–62. https://doi.org/10.1016/j.enggeo.2014.08.025
Tang CS, Tang AM, Cui YJ, Delage P, Schroeder C, Shi B (2011) A study of the hydro-mechanical behaviour of compacted crushed argillite. Eng Geol 118:93–103. https://doi.org/10.1016/j.enggeo.2011.01.004
Wang GY, You G, Shi B, Yu J, Tuck M (2009) Long-term land subsidence and strata compression in Changzhou. China Eng Geol 104:109–118. https://doi.org/10.1016/j.enggeo.2008.09.001
Wang J, Gu X, Jiang Y, Huang T, Feng B (2013) Point-line-area-volume index system of land subsidence and application in Ningbo, China. Natural Hazards 69:2197–2214. https://doi.org/10.1007/s11069-013-0801-0
Wu J-h, Shi B, Cao D-f, Jiang H-t, Wang X-f, Gu K (2017) Model test of soil deformation response to draining-recharging conditions based on DFOS. Eng Geol 226:107–121. https://doi.org/10.1016/j.enggeo.2017.04.025
Xia X, Xu H, Zhang A, Qian L, Huang K (2013) Research on variation of land subsidence in Changzhou. In: Zhang XD, Li HN, Feng XT, Chen ZH (eds) Advances in civil engineering. Applied mechanics and materials, vol 256. Trans Tech Publication, Cham, p 463. https://doi.org/10.4028/www.scientific.net/AMM.256-259.463
Xu J, Zhang F, Zhang J (2003) Application of GPS to monitoring land subsidence area. Geogr Geo-Inf Sci 19:43–45
Ye S, Xue Y, Wu J, Yan X, Yu J (2016) Progression and mitigation of land subsidence in China. Hydrogeol J 24:685–693. https://doi.org/10.1007/s10040-015-1356-9
Zheng M, Fukuyama K, Sanga-Ngoie K (2014) Application of InSAR and GIS techniques to ground subsidence assessment in the Nobi Plain Central Japan. Sensors 14:492–509. https://doi.org/10.3390/s140100492
Zhu H-H, Ho ANL, Yin J-H, Sun HW, Pei H-F, Hong C-Y (2012) An optical fibre monitoring system for evaluating the performance of a soil nailed slope. Smart Struct Syst 9:393–410. https://doi.org/10.12989/sss.2012.9.5.393
Acknowledgements
This research was financially supported by Public Science and Technology Research Fund of Ministry of Land and Resources (Grant No. 201511055), Water Conservancy Science and Technology Project of Jiangsu Province, China (Grant No. 2017010), Natural Science Foundation of Jiangsu Province, China (Grant No. BK20151011), and National Natural Science Foundation of China (Grant No. 41472241).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Liu, J., Song, Z., Lu, Y. et al. Monitoring of vertical deformation response to water draining–recharging conditions using BOFDA-based distributed optical fiber sensors. Environ Earth Sci 78, 406 (2019). https://doi.org/10.1007/s12665-019-8409-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-019-8409-7