Prediction method of dust pollutant diffusion range in building demolition based on Euclidean distance transformation

Abstract

Aiming at the problem of low prediction accuracy in the prediction of pollutant diffusion range, a prediction method of dust pollutant diffusion range in building demolition based on Euclidean distance transformation is proposed. The Euclidean distance field outside the collection object is established by Euclidean distance transformation, and the parameters of dust pollutants in building demolition are extracted. According to the atmospheric stability and the position of the boundary layer, the Gaussian model is used to simulate the diffusion trend of fugitive dust pollutants. The prediction model is then established with the help of cellular automata model. The parameters are input into the prediction model, and the output result is the prediction result to realise the prediction. The results show that the prediction accuracy of the proposed method is high.