000906308 001__ 906308
000906308 005__ 20230123110600.0
000906308 0247_ $$2doi$$a10.1016/j.enggeo.2022.106558
000906308 0247_ $$2ISSN$$a0013-7952
000906308 0247_ $$2ISSN$$a1872-6917
000906308 0247_ $$2Handle$$a2128/30784
000906308 0247_ $$2WOS$$aWOS:000804598200005
000906308 037__ $$aFZJ-2022-01359
000906308 082__ $$a550
000906308 1001_ $$0P:(DE-Juel1)180342$$aWang, Haoran$$b0
000906308 245__ $$aHigh-fidelity subsurface resistivity imaging incorporating borehole measurements for monitoring underground construction
000906308 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2022
000906308 3367_ $$2DRIVER$$aarticle
000906308 3367_ $$2DataCite$$aOutput Types/Journal article
000906308 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1645709889_20244
000906308 3367_ $$2BibTeX$$aARTICLE
000906308 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000906308 3367_ $$00$$2EndNote$$aJournal Article
000906308 520__ $$aSubsurface imaging by electrical resistivity tomography (ERT) is increasingly used in geotechnical, geo-environmental, and hydrogeological investigation and monitoring. Cross-hole ERT (CHERT) is often used to avoid loss of resolution with increasing depth. However, symmetric artifacts may be induced because the measurement sensitivity around boreholes for some electrode configurations is fairly symmetric. This study aimed to investigate the best practice of ERT for monitoring underground construction or process through an actual scenario of ground improvement with jet grouting columns. The limitation of conventional surface ERT method was first vividly illustrated in an easy-to-understand context. Characteristics and performances of distinct types of CHERT configurations were then studied considering different borehole spacings. Further improvements were explored by evaluating various mixed arrays, model resolution-optimized array, and the comprehensive array. The results show the necessity of mixing two distinct types of electrode configuration. Among various combinations, a combination referred to as the nominal optimal (NOPT) is recommended when imaging resolution, the symmetric effect, and the measurement efficiency are all factored in. Unexpectedly, the resolution-based optimization does not lead to better results and could even induce negative effects. The results also show that the minimum aspect ratio of 2 may not be large enough for imaging complex underground conditions due to reduced sensitivity and increased 3D effect. The above findings are justified by the eigenvalue spectrum of the Hessian matrix, which is considered a better appraisal index than the model resolution for CHERT.
000906308 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000906308 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000906308 7001_ $$0P:(DE-HGF)0$$aLin, Chih-Ping$$b1$$eCorresponding author
000906308 7001_ $$0P:(DE-HGF)0$$aMok, Ting Hin$$b2
000906308 7001_ $$0P:(DE-HGF)0$$aWu, Po-Lin$$b3
000906308 7001_ $$0P:(DE-HGF)0$$aLiu, Hsin-Chang$$b4
000906308 773__ $$0PERI:(DE-600)1500329-2$$a10.1016/j.enggeo.2022.106558$$gVol. 299, p. 106558 -$$p106558 -$$tEngineering geology$$v299$$x0013-7952$$y2022
000906308 8564_ $$uhttps://juser.fz-juelich.de/record/906308/files/EG_CHERT_revision_R1_clean.docx$$yPublished on 2022-02-04. Available in OpenAccess from 2024-02-04.
000906308 909CO $$ooai:juser.fz-juelich.de:906308$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000906308 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180342$$aForschungszentrum Jülich$$b0$$kFZJ
000906308 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)180342$$a IBG$$b0
000906308 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
000906308 9141_ $$y2022
000906308 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-28
000906308 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000906308 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000906308 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-28
000906308 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-22$$wger
000906308 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bENG GEOL : 2021$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-22
000906308 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bENG GEOL : 2021$$d2022-11-22
000906308 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000906308 980__ $$ajournal
000906308 980__ $$aVDB
000906308 980__ $$aUNRESTRICTED
000906308 980__ $$aI:(DE-Juel1)IBG-3-20101118
000906308 9801_ $$aFullTexts