Abstract
Disaster scenes can effectively transmit disaster information and help people make sensible decisions. However, the current 3D scenes of disasters still have certain limitations. First, related studies have focused on the construction of 3D scene technology itself and lacked a detailed semantic description of the disaster scene, which is not conducive to standardizing the process of scene construction and supporting efficient analysis. Second, the 3D scene is generally fixed, preventing full consideration of the different needs of multilevel users involved in disaster management. This paper proposes an on-demand construction method of disaster scenes for multilevel users. The creation of a knowledge graph for disasters, calculation of semantic relevance and optimal selection of scene contents are discussed in detail. Finally, taking a debris flow disaster as an example, a prototype system is developed to implement experimental analysis. The experimental results show that the constructed knowledge graph can normalize the semantic relationships among multilevel users, scene objects and visualization methods in a formal way and accurately describe the different needs of multilevel users. The 3D scenes of debris flow disasters driven by the knowledge graph can reduce the complexity and difficulty of the modeling process while satisfying the diverse needs of multilevel users.
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Acknowledgements
This paper was supported by the National Key Research and Development Program of China (Grant No. 2016YFC0803105), the National Natural Science Foundation of China (Grant Nos. 41801297 and 41871289), the Fundamental Research Funds for the Central Universities (Grant No. 2682018CX35), and the Doctoral Innovation Fund Program of Southwest Jiaotong University.
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WL, JZ and YC provided the initial idea for this study; WL, YZ and YH designed and performed the experiments; WL, LF and YG recorded and analyzed the experimental results; WL wrote this paper.
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Li, W., Zhu, J., Zhang, Y. et al. An on-demand construction method of disaster scenes for multilevel users. Nat Hazards 101, 409–428 (2020). https://doi.org/10.1007/s11069-020-03879-z
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DOI: https://doi.org/10.1007/s11069-020-03879-z