A novel method for constructing large-scale industrial noise maps based on open source data

Abstract

This study proposed a method of obtaining the type and quantity of equipment in factories by inquiring environmental impact assessment reports, which greatly improves the efficiency of gathering factory information. Thereafter, by combining on-site measurement and numerical modelling, the noise maps of an automobile industrial area were constructed. The exposed population under different noise levels were evaluated using the noise maps. The results indicated that noise pollution at nighttime in the study area was more severe than that during daytime, with 523 people (1.08%) and 1,357 people (2.81%) exposed to excessive noise levels during daytime and nighttime, respectively. In addition, this study also constructed a low-frequency industrial noise map. The methods and results of the present study can provide novel technical path for construction and analysis of large-scale industrial noise map.