Land Subsidence and Pluvial Flooding Compounding Risks in Urban Environments - A Modelling Case Study of Gothenburg, Sweden
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Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Model builders
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Abstract
Cloudburst events are expected to increase in frequency and intensity due to climate
change, posing growing challenges for urban flood management. While cities invest
in hydrodynamic models and mitigation measures to address this risk, current as
sessments generally assume a stable ground surface, an assumption that may not
hold in cities subject to ongoing land subsidence. Gothenburg, Sweden, is domin
ated by deep deposits of soft post-glacial clay that cause continuous land subsidence,
yet subsidence is not currently included in hydrodynamic models or cloudburst risk
assessments. This thesis investigates the impact of long-term subsidence on pluvial
flood analysis through a case study in Gothenburg. Two 2D overland flow models
were developed in MIKE+, simulated with a 100-year rainfall event. One model rep
resents current terrain conditions, while the other incorporates subsidence-adjusted
terrain projected 100 years into the future. By comparing the results of the two
models, the influence of subsidence on flood outcomes was assessed. In parallel, a
simplified risk assessment based on openly available data was conducted and eval
uated as a potential tool for early identification of areas at risk, prior to a more
detailed assessment being warranted. The results demonstrate that subsidence in
fluences the spatial distribution of flooding, water depths, and flow paths. Existing
flood-prone areas generally expand and deepen, while some areas show reduced ex
posure. The relationship between subsidence and flood response is non-linear and
complex, governed primarily by the spatial variability of ground movement and its
interaction with local topography rather than subsidence magnitude alone. The
simplified risk assessment showed partial spatial correspondence with the modelling
results, but subsidence magnitude alone proved an insufficient screening criterion.
A more reliable assessment should examine the coincidence of low-lying terrain,
deep clay deposits, and spatially variable subsidence. Taken together, the findings
demonstrate that long-term subsidence is a relevant but currently overlooked factor
in urban pluvial flood planning, and that integrating it into hydrodynamic models
produces meaningful differences in simulated flood outcomes.
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Keywords
cloudburst, hydrodynamic 2D overland flow model, land subsidence, MIKE+, pluvial flood
