To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Comprehensive risk assess… - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

Contact form








 


Note! If you want an answer on a question you must specify your email address




Comprehensive risk assessment of groundwater drawdown induced subsidence

Journal article
Authors Jonas Sundell
Ezra Haaf
Johannes Tornborg
Lars Rosén
Published in Stochastic Environmental Research and Risk Assessment
Volume 33
Issue 2
Pages 427-449
ISSN 1436-3240
Publication year 2019
Published at Department of Earth Sciences
Pages 427-449
Language en
Keywords Cost–benefit analysis, Groundwater drawdown, Infrastructure planning, Risk assessment, Subsidence
Subject categories Infrastructure Engineering, Water Engineering, Geotechnical Engineering, Earth and Related Environmental Sciences

Abstract

© 2019, The Author(s). We present a method for risk assessment of groundwater drawdown induced land subsidence when planning for sub-surface infrastructure. Since groundwater drawdown and related subsidence can occur at large distances from the points of inflow, the large spatial extent often implies heterogeneous geological conditions that cannot be described in complete detail. This calls for estimation of uncertainties in all components of the cause-effect chain with probabilistic methods. In this study, we couple four probabilistic methods into a comprehensive model for economic risk quantification: a geostatistical soil-stratification model, an inverse calibrated groundwater model, an elasto-plastic subsidence model, and a model describing the resulting damages and costs on individual buildings and constructions. Groundwater head measurements, hydraulic tests, statistical analyses of stratification and soil properties and an inventory of buildings are inputs to the models. In the coupled method, different design alternatives for risk reduction measures are evaluated. Integration of probabilities and damage costs result in an economic risk estimate for each alternative. Compared with the risk for a reference alternative, the best prior alternative is identified as the alternative with the highest expected net benefit. The results include spatial probabilistic risk estimates for each alternative where areas with significant risk are distinguished from low-risk areas. The efficiency and usefulness of this modelling approach as a tool for communication to stakeholders, decision support for prioritization of risk reducing measures, and identification of the need for further investigations and monitoring are demonstrated with a case study of a planned railway tunnel in Varberg, Sweden.

Page Manager: Webmaster|Last update: 9/11/2012
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?

Denna text är utskriven från följande webbsida:
http://www.gu.se/english/research/publication/?languageId=100001&disableRedirect=true&returnUrl=http%3A%2F%2Fwww.gu.se%2Fforskning%2Fpublikation%2F%3FfeedbackForm%3Dtrue%26returnAddress%3Dhttp%253A%252F%252Fwww.gu.se%252Fforskning%252Fpublikation%252F%253Fprint%253Dtrue%2526feedbackForm%253Dtrue%2526returnAddress%253Dhttp%25253A%25252F%25252Fwww.gu.se%25252Fforskning%25252Fpublikation%25252F%25253FpublicationId%25253D279083%2526recipientName%253DWebbredaktion%2526encodedEmail%253DaW5mb0BndS5zZQ%2526publicationId%253D279083%26recipientName%3DWebbredaktion%26encodedEmail%3DaW5mb0BndS5zZQ%26print%3Dtrue%26publicationId%3D279083&feedbackForm=true&returnAddress=http%3A%2F%2Fwww.gu.se%2Fforskning%2Fpublikation%2F%3Fprint%3Dtrue%26feedbackForm%3Dtrue%26returnAddress%3Dhttp%253A%252F%252Fwww.gu.se%252Fforskning%252Fpublikation%252F%253FpublicationId%253D279083%26recipientName%3DWebbredaktion%26encodedEmail%3DaW5mb0BndS5zZQ%26publicationId%3D279083&recipientName=Webbredaktion&encodedEmail=aW5mb0BndS5zZQ&publicationId=279083
Utskriftsdatum: 2019-11-21