Modelling Climate Data Factors Influencing Fine-Particulate Matter Density in the Near-Ground Atmosphere

Abstract

this paper describes the relationship of climate toatmospheric particulate matter. The climate factors ofprecipitation, humidity, temperature and wind speed aremapped to the fine-particulate substances measured as being 2.5micrometers in diameter (PM2.5). Using the climate variablesas indicators, the paper illustrates a method for estimating theconcentration potential for PM2.5 in the near-groundatmosphere. The preferred method described is selected fromthree analytical approaches compared using a common data set.The three methods used are Multiple Linear Regression (MLR),Multilayer Perceptron (MLP) and Fuzzy Neural Networksmetho