Identification Method of Source Term Parameters of Nuclear Explosion Based on GA and PSO for Lagrange-Gaussian Puff Model

Identification Method of Source Term Parameters of Nuclear Explosion Based on GA and PSO for Lagrange-Gaussian Puff Model

Many well-established models exist for predicting the dispersion of radioactive particles that will be generated in the surrounding environment after a nuclear weapon explosion. However, without exception, almost all models rely on accurate source term parameters, such as DELFIC, DNAF-1, and so on....

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Bibliographic Details
Main Authors: Yang Zheng, Yuyang Wang, Longteng Wang, Xiaolei Chen, Lingzhong Huang, Wei Liu, Xiaoqiang Li, Ming Yang, Peng Li, Shanyi Jiang, Hao Yin, Xinliang Pang, Yunhui Wu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Atmosphere
Subjects:
genetic algorithm
particle swarm optimization
nuclear explosion
radioactive diffusion
Online Access:https://www.mdpi.com/2073-4433/14/5/877

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