Prediction of dust concentration based on the Boltzmann and multivariate linear model

In order to reduce the dust concentration in the port and ensure that the dust concentration meets the requirements of environmental protection, a combination of Boltzmann model and multiple linear regression model is proposed to predict the continuous changes in dust concentration during the loading and unloading process of imported and exported ores in the port. The quantitative relationship between port dust concentration and falling mass of mineral powder, wind speed, and moisture content of mineral powder is simulated using the Boltzmann model and the multivariate linear regression model. This quantitative relationship is an effective means of describing the change in dust concentration and reducing the port dust concentration. Moreover, the findings have the potential to enhance the quality of life for those residing in the vicinity of the port.