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作 者:Pascual SEVILLANO Javier PRECIADO-GARBAYO Jorge SEVIL Francisco GUTIERREZ Juan JMARTiNEZ Sonia MARTiN-LOPEZ Miguel GONZALEZ-HERRAEZ
机构地区:[1]Aragon Institute of Engineering Research(I3A),Universidad de Zaragoza,Zaragoza 50018,Spain [2]Electronic Enginering and Communicaton Dpartment,EINA,Universidad de Zaragza,Zaragza 50018,Spain [3]Aragon Photonics Labs.,Zaragoza 50009,Spain [4]Department of Earth Sciences,Universidad de Zaragoza,Zaragoza 50009,Spain [5]Department of Electronics,Escuela Politecnica Superior,Universidad de Alcala,Madrid 28805,Spain
出 处:《Photonic Sensors》2024年第1期23-39,共17页光子传感器(英文版)
基 金:This work has been supported by Ministerio de Ciencia e Innovacion,Gobierno de Espana(Grant Nos.CGL2017-85045-P,PID2021-123189NB-I00,DI-17-09169);Government of Aragon(Grant No.Reference Group T20_23R);Jorge Sevil has a predoctoral contract(Grant No.PRE2018-084240)co-financed by the Spanish Government and the European Social Fund(ESF).
摘 要:The effectiveness of monitoring and early-warning systems for ground deformation phenomena,such as sinkholes,depends on their ability to accurately resolve the ongoing ground displacement and detect the subtle deformation preceding catastrophic failures.Sagging sinkholes with a slow subsidence rate and diffuse edges pose a significant challenge for subsidence monitoring due to the low deformation rates and limited lateral strain gradients.In this work,we satisfactorily illustrate the practicality of the Brillouin optical time domain analysis(BOTDA)to measure the spatial-temporal patterns of the vertical displacement in such challenging slow-moving sagging sinkholes.To assess the performance of the approach,we compare the strain recorded by the distributed optical fiber sensor with the vertical displacement measured by high-precision leveling.The results show a good spatial correlation with the ability to identify the maximum subsidence point.There is also a good temporal correlation with the detection of an acceleration phase in the subsidence associated with a flood event.
关 键 词:Distributed fiber optic sensing(DFOS) vertical displacement measurement slow subsidence rate sinkhole hazard early-warning system
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]
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