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  • Sundell, Jonas,1984Chalmers tekniska högskola,Chalmers University of Technology (författare)

Risk Assessment of Groundwater Drawdown in Subsidence Sensitive Areas

  • BokEngelska2018

Förlag, utgivningsår, omfång ...

  • Gothenburg,2018
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:research.chalmers.se:a4b5b483-caf8-45be-aa55-6e47b6f76550
  • ISBN:9789175977911
  • https://research.chalmers.se/publication/505182URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

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  • Ämneskategori:dok swepub-publicationtype
  • Ämneskategori:vet swepub-contenttype

Anmärkningar

  • Groundwater leakage into sub-surface constructions can result in drawdown, subsidence in compressible materials, and costly damage to buildings and installations. When planning for sub-surface constructions where there is a risk for land subsidence due to groundwater drawdown, the need for safety measures must be carefully evaluated and managed. Since the sub-surface consists of heterogeneous and anisotropic materials, which cannot be fully investigated in all aspects, decisions regarding safety measures must be taken under uncertainty. In this thesis, a generic framework is presented on how to assess the risk of groundwater drawdown-induced subsidence (Paper I). As specific tools for modelling uncertainties in the groundwater drawdown – subsidence – damage chain, a method for probabilistic modelling of bedrock levels and soil stratification (Paper II) and a method for probabilistic modelling of ground subsidence to a large spatial extent (Paper III) are presented. These are combined with a probabilistic groundwater model and cost functions to calculate the economic risks of subsidence damage between different design alternatives (Paper IV). Finally, a novel method for economic valuation of hydrogeological information is presented in Paper V. The methods presented can distinguish between low and high-risk areas, identify the alternative with the highest net benefit compared to a reference alternative, and estimate the expected benefit of additional information. The methods have been demonstrated to provide useful support for decision-making and communication tools when assessing the risk of large-scale groundwater drawdown-induced subsidence in different infrastructure projects in Sweden.

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  • Chalmers tekniska högskola (creator_code:org_t)

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