意外释放的大气扩散预测研究进展

Zhan-liang Dou, Zhe Liu, Li-Li Li, H. Zhou, Qianlin Wang, Jianwen Zhang, Liang-Jun Chen
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引用次数: 1

摘要

现代工业发展伴随着意外释放大气扩散事件的日益频繁发生,造成极其严重的人员财产损失和环境污染,快速准确地预测大气扩散是减轻意外后果的重要任务。本文以历年的情况为出发点,首先列举了近五年来发生的危险化学品大气扩散事故,并给出了危险化学品大气扩散的相关概念。然后,回顾了大气扩散的研究现状,总结了著名的危险化学品大气扩散实验,并将现有的大气扩散预测模型分为简化经验模型、机制规则驱动模型和数据驱动模型。特别是为了快速预测大气色散,详细分析了大气探测与识别方面的一些研究。此外,还介绍了用于大气弥散预报的相关专业软件,并讨论了它们在耗时和输出精度方面的计算适应性。随后,针对现有大气弥散预测模型在研究和应用领域的不足,展望了大气弥散预测研究和技术的发展趋势,并提出了未来可行的研究方向如下:(1)融合图像处理技术,建立历史事故现场信息和气象信息数据库;(2)新的校正算法;(3)全场景大气弥散预测应急响应系统。
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Atmospheric dispersion prediction of accidental release: A review
Modern industrial development is accompanied by the increasingly frequent occurrence of accidental release atmospheric dispersion events, causing extremely serious human and property losses and environmental pollution, in which rapid and accurate prediction of atmospheric dispersion is an important task to mitigate the unexpected consequences. In this paper, we take the case of previous years as the starting point, firstly, the occurred hazardous chemical atmospheric dispersion accidents in the past five years are shown, and the related concepts of hazardous chemical atmospheric dispersion are given. Then, the current state of atmospheric dispersion research is reviewed, well-known experiments on atmospheric dispersion of hazardous chemicals are summarized, and correspondingly the existing atmospheric dispersion prediction models are classified into simplified-experience models, mechanism- and rule-driven models and data-driven models. In particular, for the purpose of rapid atmospheric dispersion prediction, some research on atmospheric detection and identification are analyzed in detail. Moreover, the relevant professional software for atmospheric dispersion prediction are introduced, and also their calculation adaptabilities regarding time-consumption and output accuracy are discussed. Thereinafter, according to the shortcomings of existing atmospheric dispersion prediction models in research and application fields, the development trend of atmospheric dispersion prediction research and technology is foreseen, and some feasible future research directions are proposed as follows: (1) the fusion of image processing techniques, the establishment of a database of historical accident scene information and meteorological information, (2) new correction algorithms, and (3) an emergency response system for full-scene atmospheric dispersion prediction.
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