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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 knowled...

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Bibliographic Details
Published in:International journal of geographical information science : IJGIS 2021-08, Vol.35 (8), p.1521-1544
Main Authors: Li, Weilian, Zhu, Jun, Fu, Lin, Zhu, Qing, Xie, Yakun, Hu, Ya
Format: Article
Language:English
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Summary: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.
ISSN:1365-8816
1362-3087
1365-8824
DOI:10.1080/13658816.2020.1833016