Risk Assessment of Groundwater Drawdown in Subsidence Sensitive Areas

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: WFRF:(Sundell Jonas 1984) > Risk Assessment of ...

Details
MARC

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

Risk Assessment of Groundwater Drawdown in Subsidence Sensitive Areas

BookEnglish2018

Publisher, publication year, extent ...

Gothenburg,2018
electronicrdacarrier

Numbers

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

Supplementary language notes

Language:English
Summary in:English

Part of subdatabase

SwePubSwePub

Classification

Subject category:dok swepub-publicationtype
Subject category:vet swepub-contenttype

Notes

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.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Transportteknik och logistik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Transport Systems and Logistics hsv//eng
TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Byggproduktion hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Construction Management hsv//eng
TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Annan samhällsbyggnadsteknik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Other Civil Engineering hsv//eng
inverse modelling
cost-benefit analysis
probabilistic
groundwater drawdown
urban hydrogeology
economic valuation
groundwater leakage
subsidence
value of information analysis.
spatial variability
uncertainty quantification
risk assessment

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

Chalmers tekniska högskola (creator_code:org_t)

Internet link

Find in a library

Risk Assessment of Groundwater Drawdown in Subsidence Sensitive Areas (Search the publication in LIBRIS)

To the university's database

Find more in SwePub

By the author/editor: Sundell, Jonas, ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Transport System ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Construction Man ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Other Civil Engi ...

By the university: Chalmers University of Technology

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se