基于高斯烟羽模型的PM_(2.5)火灾扩散和预测研究

Research on Fire Spread and Prediction of PM_(2.5) Based on Gaussian Plume Model

聚焦突发事件的污染物排放数据,融合气象信息,探索突发性大气污染对周围沿海环境质量预测的影响。在已有研究成果的基础上,提出了一种基于特征处理的环境污染影响预测的方法,针对由单特征显著主导的突发性大气污染事件,采用高斯烟羽模型进行单特征扩散预测,以火灾为例计算出烟尘(PM_(2.5))的扩散结果,通过蚁群神经网络完成对沿海区域的污染影响预测,利用具体的监测数据对模型进行了验证。

This paper focuses on the pollutant emission data of emergencies,integrates meteorological information,and explores the impact of sudden air pollution on the prediction of surrounding coastal environmental quality.Based on the existing research results,this paper proposes a feature-based approach to predict the impact of environmental pollution.Aiming at the sudden air pollution events dominated by a single feature,the Gaussian plume model is used to predict the single feature diffusion.Taking the fire as an example,the diffusion results of smoke(PM_(2.5))are calculated,and prediction of pollution impact on coastal areas is completed by ant colony neural network.The model is tested by using The specific monitoring data.