An augmented representation method of debris flow scenes to improve public perception

Virtual scenes can present rich and clear
disaster information, which can significantly improve the level of public
disaster perception. However, existing methods for constructing
scenes of debris flow disasters have
some deficiencies. First, the construction process does not
consider public knowledge, which makes it difficult for the constructed scenes
to meet the requirements of the public. Second, the scene representation
emphasizes visual effects but lacks augmented visualization, leading to scarcity
of semantic information and inefficient public perception.
In this paper, the optimal selection of scene objects, semantic augmentation through the combination of various
visual variables and
dynamic augmented representation are discussed
in detail. Finally, a debris flow that occurred Shuimo town is
selected for experiment analysis. The experimental results show that most
people are unaware of the risks posed by debris flow disasters. The public is
more concerned about the consequences of a disaster than its spatiotemporal
process, especially when the consequences are related to their own interests. Furthermore, an augmented representation can increase
the amount of semantic information of scene objects, which is essential for enhancing
public understanding of the causes, processes and effects of debris flows and
thereby changing people’s attitudes and enhancing their risk perception.