Objectives

Experimental and numerical investigation of fire and smoke spread mechanisms in ground wildfires with medium scale experiments to adjust the numerical models for prediction and large-scale experiments for direct prediction and validation of the numerical models
Construction of machine learning methods to augment numerical methods for predicting fire and smoke spread
Construction of a situation-aware risk model
Experiments and assessments of fire operation measures to stop ground wildfires with respect to eco-friendliness of the measures
Numerical and experimental investigation of smoke gas production and smoke gas toxicity, guidance, and limits for evacuation of villages
Prediction of fire and smoke production as basis for effective firefighting measures and health risk warning
Smoke and air pollutant modelling for calibration of health risk warning systems
Development of scenario-based firefighting measures
Application of environmentally friendly foam agent during medium-scale and large-scale wildfire experiments (One Seven GmbH)
Development of new extinguish systems during wildfires using fluorene-free foams (One Seven GmbH)