Risk Mapping of Groundwater-Drawdown-Induced Land Subsidence in Heterogeneous Soils on Large Areas
Journal article, 2017

Groundwater leakage into subsurface constructions can cause reduction of pore pressure and subsidence in clay deposits, even at large distances from the location of the construction. The potential cost of damage is substantial, particularly in urban areas. The large-scale process also implies heterogeneous soil conditions that cannot be described in complete detail, which causes a need for estimating uncertainty of subsidence with probabilistic methods. In this study, the risk for subsidence is estimated by coupling two probabilistic models, a geostatistics-based soil stratification model with a subsidence model. Statistical analyses of stratification and soil properties are inputs into the models. The results include spatially explicit probabilistic estimates of subsidence magnitude and sensitivities of included model parameters. From these, areas with significant risk for subsidence are distinguished from low-risk areas. The efficiency and usefulness of this modeling 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 tunnel in Stockholm.

probabilistic subsidence model

Groundwater-drawdown-induced subsidence

Author

Jonas Sundell

Chalmers, Civil and Environmental Engineering, GeoEngineering

Ezra Haaf

University of Gothenburg

Tommy Norberg

University of Gothenburg

Chalmers, Mathematical Sciences

Claes Alén

Chalmers, Civil and Environmental Engineering, GeoEngineering

Mats Karlsson

Chalmers, Civil and Environmental Engineering, GeoEngineering

Lars Rosen

Chalmers, Civil and Environmental Engineering, GeoEngineering

Risk Analysis

0272-4332 (ISSN) 1539-6924 (eISSN)

Areas of Advance

Building Futures (2010-2018)

Subject Categories

Geotechnical Engineering

Water Engineering

Geology

DOI

10.1111/risa.12890

PubMed

29084353

More information

Latest update

3/1/2019 1