Application of a generalised MPK model with data fusion approaches for landslide risk assessment

Chathurika Jayasundara; Ravin N. Deo; Jayantha Kodikara

doi:10.1007/978-3-030-32029-4_53

Application of a generalised MPK model with data fusion approaches for landslide risk assessment

Chathurika Jayasundara, Ravin N. Deo, Jayantha Kodikara

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

The constitutive modelling of unsaturated soil behaviour within the MPK framework using data fusion approaches are discussed to envisage a practical approach for the evaluation and monitoring of landslide-prone areas. The present study focuses on improvements in subsurface suction distribution estimations via electrical resistivity tomography (ERT), which can be used to generate quasi-continuous suction profiles (QCSP) for numerical modelling. An explicit petro geophysical transfer function between suction and resistivity is presented herein, which was derived from the Waxman-Smits electrical resistivity model and the Van Genuchten equation for soil water retention curves. For efficient numerical modelling, a selective correction approach (SCA) is presented for petro geophysical transfer function updating procedure. The data acquisition and analysis architecture are envisaged within a data cloud platform, which is highly attractive within the context of internet-of-things (IoT). Although the focus of this work is on suction estimations, a similar approach can be used for estimation of other constitutive variables required within the MPK framework.

Original language	English
Title of host publication	Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019
Editors	António Gomes Correia, Joaquim Tinoco, Paulo Cortez, Luís Lamas
Publisher	Springer
Pages	635-643
Number of pages	9
ISBN (Print)	9783030320287
DOIs	https://doi.org/10.1007/978-3-030-32029-4_53
Publication status	Published - 2020
Event	International Conference on Information Technology in Geo-Engineering 2019 - Guimarães, Portugal Duration: 29 Sept 2019 → 2 Oct 2019 Conference number: 3rd http://www.3rd-icitg2019.civil.uminho.pt/ https://link.springer.com/book/10.1007/978-3-030-32029-4 (Proceedings)

Publication series

Name	Springer Series in Geomechanics and Geoengineering
Publisher	Springer
ISSN (Print)	1866-8755
ISSN (Electronic)	1866-8763

Conference

Conference	International Conference on Information Technology in Geo-Engineering 2019
Abbreviated title	ICITG 2019
Country/Territory	Portugal
City	Guimarães
Period	29/09/19 → 2/10/19
Internet address	http://www.3rd-icitg2019.civil.uminho.pt/ https://link.springer.com/book/10.1007/978-3-030-32029-4 (Proceedings)

Keywords

Data fusion
MPK framework
Suction

Access to Document

10.1007/978-3-030-32029-4_53

Cite this

Jayasundara, C., Deo, R. N., & Kodikara, J. (2020). Application of a generalised MPK model with data fusion approaches for landslide risk assessment. In A. G. Correia, J. Tinoco, P. Cortez, & L. Lamas (Eds.), Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019 (pp. 635-643). (Springer Series in Geomechanics and Geoengineering). Springer. https://doi.org/10.1007/978-3-030-32029-4_53

Jayasundara, Chathurika ; Deo, Ravin N. ; Kodikara, Jayantha. / Application of a generalised MPK model with data fusion approaches for landslide risk assessment. Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019. editor / António Gomes Correia ; Joaquim Tinoco ; Paulo Cortez ; Luís Lamas. Springer, 2020. pp. 635-643 (Springer Series in Geomechanics and Geoengineering).

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abstract = "The constitutive modelling of unsaturated soil behaviour within the MPK framework using data fusion approaches are discussed to envisage a practical approach for the evaluation and monitoring of landslide-prone areas. The present study focuses on improvements in subsurface suction distribution estimations via electrical resistivity tomography (ERT), which can be used to generate quasi-continuous suction profiles (QCSP) for numerical modelling. An explicit petro geophysical transfer function between suction and resistivity is presented herein, which was derived from the Waxman-Smits electrical resistivity model and the Van Genuchten equation for soil water retention curves. For efficient numerical modelling, a selective correction approach (SCA) is presented for petro geophysical transfer function updating procedure. The data acquisition and analysis architecture are envisaged within a data cloud platform, which is highly attractive within the context of internet-of-things (IoT). Although the focus of this work is on suction estimations, a similar approach can be used for estimation of other constitutive variables required within the MPK framework.",

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note = "International Conference on Information Technology in Geo-Engineering 2019 , ICITG 2019 ; Conference date: 29-09-2019 Through 02-10-2019",

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Jayasundara, C, Deo, RN & Kodikara, J 2020, Application of a generalised MPK model with data fusion approaches for landslide risk assessment. in AG Correia, J Tinoco, P Cortez & L Lamas (eds), Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019. Springer Series in Geomechanics and Geoengineering, Springer, pp. 635-643, International Conference on Information Technology in Geo-Engineering 2019 , Guimarães, Portugal, 29/09/19. https://doi.org/10.1007/978-3-030-32029-4_53

Application of a generalised MPK model with data fusion approaches for landslide risk assessment. / Jayasundara, Chathurika; Deo, Ravin N.; Kodikara, Jayantha.
Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019. ed. / António Gomes Correia; Joaquim Tinoco; Paulo Cortez; Luís Lamas. Springer, 2020. p. 635-643 (Springer Series in Geomechanics and Geoengineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Jayasundara, Chathurika

AU - Deo, Ravin N.

AU - Kodikara, Jayantha

N1 - Conference code: 3rd

PY - 2020

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N2 - The constitutive modelling of unsaturated soil behaviour within the MPK framework using data fusion approaches are discussed to envisage a practical approach for the evaluation and monitoring of landslide-prone areas. The present study focuses on improvements in subsurface suction distribution estimations via electrical resistivity tomography (ERT), which can be used to generate quasi-continuous suction profiles (QCSP) for numerical modelling. An explicit petro geophysical transfer function between suction and resistivity is presented herein, which was derived from the Waxman-Smits electrical resistivity model and the Van Genuchten equation for soil water retention curves. For efficient numerical modelling, a selective correction approach (SCA) is presented for petro geophysical transfer function updating procedure. The data acquisition and analysis architecture are envisaged within a data cloud platform, which is highly attractive within the context of internet-of-things (IoT). Although the focus of this work is on suction estimations, a similar approach can be used for estimation of other constitutive variables required within the MPK framework.

AB - The constitutive modelling of unsaturated soil behaviour within the MPK framework using data fusion approaches are discussed to envisage a practical approach for the evaluation and monitoring of landslide-prone areas. The present study focuses on improvements in subsurface suction distribution estimations via electrical resistivity tomography (ERT), which can be used to generate quasi-continuous suction profiles (QCSP) for numerical modelling. An explicit petro geophysical transfer function between suction and resistivity is presented herein, which was derived from the Waxman-Smits electrical resistivity model and the Van Genuchten equation for soil water retention curves. For efficient numerical modelling, a selective correction approach (SCA) is presented for petro geophysical transfer function updating procedure. The data acquisition and analysis architecture are envisaged within a data cloud platform, which is highly attractive within the context of internet-of-things (IoT). Although the focus of this work is on suction estimations, a similar approach can be used for estimation of other constitutive variables required within the MPK framework.

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KW - Suction

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ER -

Jayasundara C, Deo RN, Kodikara J. Application of a generalised MPK model with data fusion approaches for landslide risk assessment. In Correia AG, Tinoco J, Cortez P, Lamas L, editors, Information Technology in Geo-Engineering - Proceedings of the 3rd International Conference ICITG 2019. Springer. 2020. p. 635-643. (Springer Series in Geomechanics and Geoengineering). doi: 10.1007/978-3-030-32029-4_53

Application of a generalised MPK model with data fusion approaches for landslide risk assessment

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Keywords

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