Abstract
Due to the lack of knowledge concerning their construction and their history (breaks and repairs, extensions…), fluvial levees are often badly characterized. Breaks of work are likely to lead to disastrous consequences such as loss of lives and economic disasters. In order to prevent the risk of breakage, special supervision of the protection levee is required. Recognized methodologies for the assessment of hydraulic structures include complementary geotechnical and geophysical reconnaissance methods. This work presents a new way of mathematically combining data from these two types of information sources, taking into account the specificities of each kind of method (level of imperfection associated with the data, spatial distribution of the information). This new methodology considers the framework fixed by the theory of belief masses and improves the characterization of lithological sets within levees. It provides information on the level of conflict between information sources while proposing a confidence index associated with the results. The methodology is implemented through a subsoil section characterized by a real earthen levee investigation campaign. This campaign involves electrical resistivity tomography as well as particle size distribution from laboratory testing and on-site cone penetrometer test. The results highlight the ability of this fusion methodology to characterize the considered materials as well as to specify the positions of the interfaces and the associated levels of confidence.
Similar content being viewed by others
Change history
28 April 2021
A Correction to this paper has been published: https://doi.org/10.1007/s10064-021-02246-x
References
AFNOR NF P11-300 (1992) Exécution des terrassements - Classification des matériaux utilisables dans la construction des remblais et des couches de forme d'infrastructures routières
AFNOR NF P94-056 (1995) Sols : reconnaissance et essais - Analyse granulométrique - Méthode par tamisage à sec après lavage
AFNOR NF P94-113 (1996) Sols : reconnaissance et essais - Essai de pénétration statique
Althuwaynee OF, Pradhan B, Lee S (2012) Application of an evidential belief function model in landslide susceptibility mapping. Comput Geosci 44:120–135
Arosio D, Munda S, Tresoldi G, Papini M, Longoni L, Zanzi L (2017) A customized resistivity system for monitoring saturation and seepage in earthen levees: installation and validation. Open Geosciences 9:457–467. https://doi.org/10.1515/geo-2017-0035
Binaghi E, Luzi L, Madella P, Pergalani F, Rampini A (1998) Slope instability zonation: a comparison between certainty factor and fuzzy Dempster–Shafer approaches. Nat Hazards 17(1):77–97
Brierley GJ, Ferguson RJ, Woolfe KJ (1997) What is a fluvial levee? Sediment Geol 114(1-4):1–9
Cazanacli D, Smith ND (1998) A study of morphology and texture of natural levees - Cumberland Marshes, Saskatchewan, Canada. Geomorphology 25(1-2):43–55
Dempster AP (1967) Upper and lower probabilities induced by a multivalued mapping. The annals of mathematical statistics, Springer, Berlin, pp 325–339
Dezert T, Fargier Y, Lopes SP, Côte P (2018a) Application of belief functions to levee assessment. In International Conference on Belief Functions. Springer, Cham
Dezert T, Lopes SP, Fargier Y, Cote P (2018b) Geophysical and geotechnical data fusion for levee assessment-interface detection with biased geophysical data. In 24th European Meeting of Environmental and Engineering Geophysics
Dezert T, Fargier Y, Palma Lopes S, Côte P (2019a) Geophysical and geotechnical methods for fluvial levee investigation: a review. Eng Geol 260:105–206
Dezert T, Lopes SP, Fargier Y, de Forquenot la Fortelle Q, Cote P, Tourment R (2019b) Merging geophysical and geotechnical data acquired on a test bed for levee diagnosis application. In Digues 2019-3eme Colloque National sur les digues maritimes et fluviales de protection contre les inondations
Fauchard C, Mériaux P (2007) Geophysical and geotechnical methods for diagnosing flood protection dikes: Guide for implementation and interpretation. Quae
Foster M, Fell R, Spannagle M (2000) The statistics of embankment dam failures and accidents. Can Geotech J 37(5):1000–1024
François D, Mériaux P, Monnet J (2016) Méthodologie de reconnaissance et de diagnostic de l’érosion interne des ouvrages hydrauliques en remblai. Presses des Ponts : Publications IREX, Paris. OCLC: 966418274
Hervé S, Bénot R (2013) Digue de la Loire à St Clément des Levées (49) : Suivi par méthodes géophysiques, Compte-rendu des mesures 2012. IFSTTAR – Opération 11R103 DOFEAS
Hojat A, Arosio D, Longoni L, Papini M, Tresoldi G, Zanzi L (2019) Installation and validation of a customized resistivity system for permanent monitoring of a river embankment. EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience & Engineering, April 22 - 26, Kuala Lumpur
Jodry C, Lopes SP, Fargier Y, Côte P, Sanchez M (2017) A cost-effective 3D electrical resistivity imaging approach applied to dike investigation. Near Surface Geophysics 15(1):27–41
Jodry C, Lopes SP, Fargier Y, Sanchez M, Côte P (2019) 2D-ERT monitoring of soil moisture seasonal behaviour in a river levee: a case study. J Appl Geophys 167:140–151
Loke MH (2013) Tutorial: 2-D and 3-D electrical imaging surveys. http://www.geotomosoft.com
Loke MH, Acworth I, Dahlin T (2003) A comparison of smooth and blocky inversion methods in 2D electrical imaging surveys. Explor Geophys 34(3):182–187
Lorenzo JM, Hicks J, Vera EE (2014) Integrated seismic and cone penetration test observations at a distressed earthen levee: Marrero, Louisiana, USA. Eng Geol 168:59–68
Martin A, Osswald C, Dezert J, Smarandache F (2008) General combination rules for qualitative and quantitative beliefs. Infinite Study
Mogaji KA, Lim HS, Abdullah K (2015) Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model. Arab J Geosci 8(5):3235–3258
Pasierb B, Grodecki M, Gwóźdź R (2019) Geophysical and geotechnical approach to a landslide stability assessment: a case study. Acta Geophysica, pp:1–12
Phoon KK, Kulhawy FH (1999) Characterization of geotechnical variability. Can Geotech J 36(4):612–624
Robertson PK (2010) Soil behavior type: an update. 2nd International Symposium on Cone Penetrating Testing, Huntington Beach, Canada: USA
Royet P, Palma Lopes S, Fauchard C, Mériaux P, Auriau L (2013) Rapid and cost-effective dike condition assessment methods: geophysics and remote sensing. FloodProBE Project
Sabor K, Jougnot D, Guerin R, Apffel L, Steck B (2019) Integrated analysis of geophysical data using a data mining approach. In 25th European Meeting of Environmental in Engineering Geophysics
Shaaban F, Ismail A, Massoud U, Mesbah H, Lethy A, Abbas AM (2013) Geotechnical assessment of ground conditions around a tilted building in Cairo–Egypt using geophysical approaches. Journal of the Association of Arab Universities for Basic and Applied Sciences 13(1):63–72
Shafer G (1976) A mathematical theory of evidence. Princeton University Press
Smarandache F, Dezert J (2009) Advances and applications of DSmT for information fusion. Collected works – ARP Volume 3
Smets P (1990) The combination of evidence in the transferable belief model. IEEE Trans Pattern Anal Mach Intell 12(5):447–458
Smets P (1997) Imperfect information: imprecision and uncertainty. Uncertainty management in information systems, Springer, pp 225–254
Specht DF (1991) A general regression neural network. IEEE Trans Neural Netw 2(6):568–576
Tehrany MS, Kumar L (2018) The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods. Environ Earth Sci 77(13):490
Tran L, Duckstein L (2002) Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy Sets Syst 130(3):331–341
Tresoldi G, Arosio D, Hojat A, Longoni L, Papini M, Zanzi L (2019) Long-term hydrogeophysical monitoring of the internal conditions of river levees. Eng Geol 259:105–139. https://doi.org/10.1016/j.enggeo.2019.05.016
Vuillet M (2012) Élaboration d’un modèle d’aide à la décision probabiliste pour l’évaluation de la performance des digues fluviales. Doctoral dissertation, Paris Est
Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1(1):3–28
Acknowledgements
We thank all the technicians at the Cerema French Institute involved in the investigation campaign and laboratory tests for their precious help throughout the experimental phase. We also thank the Région Pays de la Loire for their financial support.
Author information
Authors and Affiliations
Corresponding author
Additional information
The original online version of this article was revised: Originally, the Equations 9, 10, 12 and 13 were wrongly published in the online version. This has been correctly presented here.
Rights and permissions
About this article
Cite this article
Dezert, T., Palma Lopes, S., Fargier, Y. et al. Data fusion of in situ geophysical and geotechnical information for levee characterization. Bull Eng Geol Environ 80, 5181–5197 (2021). https://doi.org/10.1007/s10064-021-02225-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10064-021-02225-2