Geotechnical variability of the soils of Quito, Ecuador: a geodatabase study

Manar M A Othman; Rosa M Hen-Jones; Camilo  Zapata; Eliana  Jiménez; Flavia De Luca; E A Holcombe; Paul J Vardanega

doi:10.1007/s10064-023-03438-3

Geotechnical variability of the soils of Quito, Ecuador: a geodatabase study

Manar M A Othman, Rosa M Hen-Jones, Camilo Zapata, Eliana Jiménez, Flavia De Luca, E A Holcombe, Paul J Vardanega^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

This paper presents a new geotechnical database for the soils of Quito, Ecuador. The geotechnical database is then used to investigate the best fit probability distributions for the key geotechnical parameters contained in the database. Using the Akaike information criteria for best fit selection, SPT (N), plasticity index, Vs₃₀, peak friction angle (direct shear), and apparent cohesion (triaxial) are best represented by a Weibull distribution. The peak friction angle (triaxial) is best fitted with a truncated normal distribution. The database is also used to develop transformation models to allow for the estimation of more complex geotechnical parameters from intrinsic ones. This analysis shows that the transformation model between Vs₃₀ and SPT (N) has high coefficients of determination and is statistically significant. Finally, the systematic collection of information in the database is used to investigate the assumption, based on engineering judgement by local practitioners, that soil derived from volcanic deposits and volcano-lacustrine sediments in the northern part of Quito has different geotechnical properties with respect to the southern zone of the city beyond the value of shear wave velocity whose difference is embedded in the soil classification map of the seismic code.

Original language	English
Article number	433
Number of pages	20
Journal	Bulletin of Engineering Geology and the Environment
Volume	82
Issue number	11
DOIs	https://doi.org/10.1007/s10064-023-03438-3
Publication status	Published - 1 Nov 2023

Bibliographical note

Funding Information:
The authors acknowledge funding and support from UKRI Collective Fund under grant NE/S009000/1, Tomorrow’s Cities UKRI GCRF: Urban Disaster Risk Hub. The first author acknowledges the support of AL-Zaytoonah University of Jordan.

Publisher Copyright:
© 2023, The Author(s).

Keywords

Geotechnical database
Variability
Probability distributions
Transformation models
Regression analysis

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2 Citations
4 Conference Contribution (Conference Proceeding)

Co-producing and communicating landslide knowledge for risk-informed urban development in Quito
Zapata, C., Holcombe, E. A., Vardanega, P. J. & Jiménez, E., 3 Dec 2024, (E-pub ahead of print) Proceedings of the 17th Pan-American Conference on Soil Mechanics and Geotechnical Engineering (XVII PCSMGE), and 2nd Latin-American Regional Conference of the International Association for Engineering Geology and the Environment (IAEG), La Serena Chile, 2024. International Society for Soil Mechanics and Geotechnical Engineering, 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File
Drone systems for landslide hazard assessment in Quito
Zapata, C., Holcombe, E. A., Vardanega, P. J. & Jiménez, E., 3 Dec 2024, (E-pub ahead of print) Proceedings of the 17th Pan-American Conference on Soil Mechanics and Geotechnical Engineering (XVII PCSMGE), and 2nd Latin-American Regional Conference of the International Association for Engineering Geology and the Environment (IAEG), La Serena Chile, 2024. International Society for Soil Mechanics and Geotechnical Engineering, 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File
Slope stability modelling of urbanisation scenarios for communities in north Quito, Ecuador
Hen-Jones, R., Zapata, C., Jiménez, E., Holcombe, E. A. & Vardanega, P. J., 17 Sept 2024, Geotechnical Engineering Challenges to Meet Current and Emerging Needs of Society: Proceedings of the XVIII European Conference on Soil Mechanics and Geotechnical Engineering, 26–30 August 2024, Lisbon, Portugal. Guerra, N., Fernandes, M. M., Ferreira, C., Correia, A. G., Pinto, A. & Sêco e Pinto, P. (eds.). 1st ed. Abingdon, Oxon: CRC Press/Balkema, Taylor & Francis Group, p. 1146-1149 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
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33 Downloads (Pure)

1 Finished

Tomorrow's Cities GCRF Hub
Vardanega, P. J. (Principal Investigator)
1/04/20 → 31/03/21
Project: Research

Quito Geotechnical Database v1.1
Othman, M. (Creator), Hen-Jones, R. (Creator), Zapata, C. (Creator), Jimenez, E. (Creator), Luca, F. D. (Creator), Holcombe, E. (Creator) & Vardanega, P. (Creator), University of Bristol, 23 Oct 2023
DOI: 10.5523/bris.ys9nfsd66knb21h3twx2rfin6, http://data.bris.ac.uk/data/dataset/ys9nfsd66knb21h3twx2rfin6
Dataset

Cite this

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title = "Geotechnical variability of the soils of Quito, Ecuador: a geodatabase study",

abstract = "This paper presents a new geotechnical database for the soils of Quito, Ecuador. The geotechnical database is then used to investigate the best fit probability distributions for the key geotechnical parameters contained in the database. Using the Akaike information criteria for best fit selection, SPT (N), plasticity index, Vs30, peak friction angle (direct shear), and apparent cohesion (triaxial) are best represented by a Weibull distribution. The peak friction angle (triaxial) is best fitted with a truncated normal distribution. The database is also used to develop transformation models to allow for the estimation of more complex geotechnical parameters from intrinsic ones. This analysis shows that the transformation model between Vs30 and SPT (N) has high coefficients of determination and is statistically significant. Finally, the systematic collection of information in the database is used to investigate the assumption, based on engineering judgement by local practitioners, that soil derived from volcanic deposits and volcano-lacustrine sediments in the northern part of Quito has different geotechnical properties with respect to the southern zone of the city beyond the value of shear wave velocity whose difference is embedded in the soil classification map of the seismic code.",

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T2 - a geodatabase study

AU - Othman, Manar M A

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AU - Jiménez, Eliana

AU - De Luca, Flavia

AU - Holcombe, E A

AU - Vardanega, Paul J

N1 - Funding Information: The authors acknowledge funding and support from UKRI Collective Fund under grant NE/S009000/1, Tomorrow’s Cities UKRI GCRF: Urban Disaster Risk Hub. The first author acknowledges the support of AL-Zaytoonah University of Jordan. Publisher Copyright: © 2023, The Author(s).

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N2 - This paper presents a new geotechnical database for the soils of Quito, Ecuador. The geotechnical database is then used to investigate the best fit probability distributions for the key geotechnical parameters contained in the database. Using the Akaike information criteria for best fit selection, SPT (N), plasticity index, Vs30, peak friction angle (direct shear), and apparent cohesion (triaxial) are best represented by a Weibull distribution. The peak friction angle (triaxial) is best fitted with a truncated normal distribution. The database is also used to develop transformation models to allow for the estimation of more complex geotechnical parameters from intrinsic ones. This analysis shows that the transformation model between Vs30 and SPT (N) has high coefficients of determination and is statistically significant. Finally, the systematic collection of information in the database is used to investigate the assumption, based on engineering judgement by local practitioners, that soil derived from volcanic deposits and volcano-lacustrine sediments in the northern part of Quito has different geotechnical properties with respect to the southern zone of the city beyond the value of shear wave velocity whose difference is embedded in the soil classification map of the seismic code.

AB - This paper presents a new geotechnical database for the soils of Quito, Ecuador. The geotechnical database is then used to investigate the best fit probability distributions for the key geotechnical parameters contained in the database. Using the Akaike information criteria for best fit selection, SPT (N), plasticity index, Vs30, peak friction angle (direct shear), and apparent cohesion (triaxial) are best represented by a Weibull distribution. The peak friction angle (triaxial) is best fitted with a truncated normal distribution. The database is also used to develop transformation models to allow for the estimation of more complex geotechnical parameters from intrinsic ones. This analysis shows that the transformation model between Vs30 and SPT (N) has high coefficients of determination and is statistically significant. Finally, the systematic collection of information in the database is used to investigate the assumption, based on engineering judgement by local practitioners, that soil derived from volcanic deposits and volcano-lacustrine sediments in the northern part of Quito has different geotechnical properties with respect to the southern zone of the city beyond the value of shear wave velocity whose difference is embedded in the soil classification map of the seismic code.

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KW - Variability

KW - Probability distributions

KW - Transformation models

KW - Regression analysis

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DO - 10.1007/s10064-023-03438-3

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M1 - 433

ER -

Geotechnical variability of the soils of Quito, Ecuador: a geodatabase study

Abstract

Bibliographical note

Keywords

Access to Document

Handle.net

Fingerprint

Research output

Co-producing and communicating landslide knowledge for risk-informed urban development in Quito

Drone systems for landslide hazard assessment in Quito

Slope stability modelling of urbanisation scenarios for communities in north Quito, Ecuador

Projects

Tomorrow's Cities GCRF Hub

Datasets

Quito Geotechnical Database v1.1

Cite this