Bayesian optimal fuzzy clustering of acoustic environment in prefecture-level administrative regions
Environmental noise function zoning plays a crucial role in noise pollution management.Recent re-searches on environmental noise function zoning were mainly based on a specific prefecture-level administrative region and did not reflect the similarities and differences between various prefecture-level administrative regions.In the paper,the acoustic environment in 134 prefecture-level administrative regions was characterized and normalized based on the administrative region's population,area,and environmental noise functional zones.Cluster analysis of the acoustic environment of prefecture-level administrative regions was conducted based on Silhouette criterion clustering evaluation and Bayesian optimization fuzzy clustering.This method is verified by comparing its clustering performance with spectral clustering,K-medoids clustering,and Gaussian mixture model clustering.Results indicate that the acoustic environment of prefecture-level administrative regions are divided into nine categories.The current noise pollution management policies should be re-evaluated and ad-justed as necessary after significant changes in urban size and land use lead to changes in the characterization and classification of acoustic environment in a prefecture-level administrative region.
Environmental noise function zonePrefecture-level administrative regionFuzzy clusteringBayesian optimizationSilhouette coefficient
万方数据
维普
