Andreas Lindhe
Chalmers University of Technology
51 Papers
244 Citations
Andreas Lindhe is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Risk management & Risk assessment. The author has an hindex of 12, co-authored 45 publications.
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Papers
A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck
Payam Amir-Heidari,Lars Arneborg,J. Fredrik Lindgren,Andreas Lindhe,Lars Rosén,Mohammad Raie,Lars Axell,Ida-Maja Hassellöv +7 more
TL;DR: In this work a state-of-the-art model is presented for spatial and stochastic risk assessment of oil spills from wrecks, enabling a structured approach to include the complex factors affecting the risk values.
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Approximate dynamic fault tree calculations for modelling water supply risks
TL;DR: In this article, an approximate DFT analysis based on a Markovian approach is presented and evaluated using standard Monte Carlo simulations and does not require simulations of the full Markov models.
52
Generic Framework for Integrated Risk Management in Water Safety Plans
Lars Rosén,Andreas Lindhe,Per Hokstad,Snorre Sklet,Jon Røstum,Thomas J. R. Pettersson +5 more
- 01 Jan 2008
TL;DR: The TECHNEAU Generic Framework for Integrated Risk Management in Water Safety Plans (GFRM-WSP) as mentioned in this paper is a framework for a structured risk management in WSPs.
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Cost-effectiveness analysis of risk-reduction measures to reach water safety targets
TL;DR: The approach provides a structured and thorough analysis of risk-reduction measures that facilitates transparency and long-term planning of drinking water systems in order to avoid sub-optimisation of available resources for risk reduction.
30
Uncertainty modelling in multi-criteria analysis of water safety measures
TL;DR: In this article, two alternative models linking risk ranking and multi-criteria decision analysis (MCDA) are presented and evaluated to enable a proper prioritisation of safety measures and an efficient use of available resources for risk reduction.
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