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

Economic valuation of hydrogeological information when managing groundwater drawdown

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-01-08
  • Springer Science and Business Media LLC,2019

Numbers

  • LIBRIS-ID:oai:gup.ub.gu.se/279082
  • https://gup.ub.gu.se/publication/279082URI
  • https://doi.org/10.1007/s10040-018-1906-zDOI
  • https://research.chalmers.se/publication/507812URI
  • https://research.chalmers.se/publication/510663URI
  • https://research.chalmers.se/publication/511296URI

Supplementary language notes

  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • © 2019, The Author(s). A procedure is presented for valuation of information analysis (VOIA) to determine the need for additional information when assessing the effect of several design alternatives to manage future disturbances in hydrogeological systems. When planning for groundwater extraction and drawdown in areas where risks—such as land subsidence, wells running dry and drainage of streams and wetlands—are present, the need for risk-reducing safety measures must be carefully evaluated and managed. The heterogeneity of the subsurface calls for an assessment of trade-offs between the benefits of additional information to reduce the risk of erroneous decisions and the cost of collecting this information. A method is suggested that combines existing procedures for inverse probabilistic groundwater modelling with a novel method for VOIA. The method results in (1) a prior analysis where uncertainties regarding the efficiency of safety measures are estimated, and (2) a pre-posterior analysis, where the benefits of expected uncertainty reduction deriving from additional information are compared with the costs for obtaining this information. In comparison with existing approaches for VOIA, the method can assess multiple design alternatives, use hydrogeological parameters as proxies for failure, and produce spatially distributed VOIA maps. The method is demonstrated for a case study of a planned tunnel in Stockholm, Sweden, where additional investigations produce a low number of benefits as a result of low failure rates for the studied alternatives and a cause-effect chain where the resulting failure probability is more dependent on interactions within the whole system rather than on specific features.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Norberg, Tommy,1950Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)tommy (author)
  • Haaf, Ezra,1985Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,COWI A/S,University of Gothenburg(Swepub:cth)ezra (author)
  • Rosen, Lars,1962Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)rosen (author)
  • Chalmers tekniska högskolaInstitutionen för matematiska vetenskaper (creator_code:org_t)

Related titles

  • In:Hydrogeology Journal: Springer Science and Business Media LLC27:4, s. 1111-11301431-21741435-0157

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