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25 May 2023 Design and implementation of a python-based earthquake emergency assessment model
Jie Zhang, Bin Tan, Zhangyu Dong, Lin He, Ben Ma, Dandan Wang
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Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363J (2023) https://doi.org/10.1117/12.2675132
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
The earthquake emergency assessment model proposed in this paper uses the Python Programming Language to achieve automatic output. The overall framework includes data stacking and analysis and automatic output of the epicenter, casualties, and economic loss. When an earthquake occurs or an earthquake drill is simulated, the program can, by inputting the three elements of the earthquake, automatically output the economic loss and casualties caused by the earthquake, calculate disaster-related information in a timely and rapid manner, and quickly generate an earthquake emergency assessment report. This is essential for formulating a proper emergency rescue strategy in a timely manner and improving the efficiency and quality of rescue efforts.
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Jie Zhang, Bin Tan, Zhangyu Dong, Lin He, Ben Ma, and Dandan Wang "Design and implementation of a python-based earthquake emergency assessment model", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363J (25 May 2023); https://doi.org/10.1117/12.2675132
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KEYWORDS
Earthquakes
Data modeling
Design and modelling
Statistical modeling
Analytical research
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