NH10.8 | Modelling multi-hazards and multi-risks: consideration of model-, and time-interdependencies as well as cascading effects
EDI
Modelling multi-hazards and multi-risks: consideration of model-, and time-interdependencies as well as cascading effects
Convener: Marianne Bügelmayer-Blaschek | Co-conveners: Kristofer Hasel, Beniamino Russo

This session focuses on modelling approaches tackling multi-hazards, as well as multi-risks, considering their interdependencies, amplifying factors and cascading effects.
Multi-hazards and consequently multi-risks have gained wider attention over the past years but pose a challenge to the scientific community in quantifying their (local) impacts. Single hazard models that simulate local hazards such as flooding based on meteorological input data are applied commonly providing the base for better estimation of future risks (hazard*exposure*vulnerability). However, quantifying the effect of one hazard on the intensity of compound or consecutive hazard(s) poses a challenge since it depends on the intensities of each single event and the time lag between these two. Considering these challenges, simulating multi-risks and accounting for cascading effects adds another layer of complexities that are tackled differently.
Therefore, this session encourages studies focusing on tackling the interdependencies through modelling approaches, as well as studies focusing on the time dependency of consecutive events. As climate change is amplifying intensities and frequencies of extreme events, studies working on investigating the changes in frequency and intensity of mutli-hazards under different warming scenarios are highly encouraged to submit.

This session focuses on modelling approaches tackling multi-hazards, as well as multi-risks, considering their interdependencies, amplifying factors and cascading effects.
Multi-hazards and consequently multi-risks have gained wider attention over the past years but pose a challenge to the scientific community in quantifying their (local) impacts. Single hazard models that simulate local hazards such as flooding based on meteorological input data are applied commonly providing the base for better estimation of future risks (hazard*exposure*vulnerability). However, quantifying the effect of one hazard on the intensity of compound or consecutive hazard(s) poses a challenge since it depends on the intensities of each single event and the time lag between these two. Considering these challenges, simulating multi-risks and accounting for cascading effects adds another layer of complexities that are tackled differently.
Therefore, this session encourages studies focusing on tackling the interdependencies through modelling approaches, as well as studies focusing on the time dependency of consecutive events. As climate change is amplifying intensities and frequencies of extreme events, studies working on investigating the changes in frequency and intensity of mutli-hazards under different warming scenarios are highly encouraged to submit.