文献类型：期刊文献

英文题名：Classification of Urban Pollution Levels Based on Clustering and Spatial Statistics

作者：Xu, Ziyi[1];Liu, Zhixin[1];Tian, Jiawei[2];Liu, Yan[2];Pan, Hongling[2];Liu, Shan[2];Yang, Bo[2];Yin, Lirong[3];Zheng, Wenfeng[2]

机构：[1]Shaoxing Univ, Sch Life Sci, Shaoxing 312000, Peoples R China;[2]Univ Elect Sci & Technol China, Sch Automat, Chengdu 610054, Peoples R China;[3]Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA

年份：2022

卷号：13

期号：3

外文期刊名：ATMOSPHERE

收录：SCI-EXPANDED(收录号：WOS:000776969700001)、、EI(收录号：20221411926235)、Scopus(收录号：2-s2.0-85127563360)、WOS

基金：This research was funded by Sichuan Science and Technology Program, grant number 2021YFQ0003.

语种：英文

外文关键词：haze; pollution index; cluster analysis; spatial autocorrelation

外文摘要：In recent years, the occurrence and frequency of haze are constantly increasing, severely threatening people's daily lives and health and bringing enormous losses to the economy. To this end, we used cluster analysis and spatial autocorrelation methods to discuss the spatial and temporal distribution characteristics of severe haze in China and to classify regions of China. Furthermore, we analyzed the interaction between haze pollution and the influence of economy and energy structure in 31 provinces in China, providing references for the prevention and treatment of haze pollution. The processed data mainly include API, meteorological station data, and PM 2.5 concentration distribution vector graph. The results show the yearly haze pattern from 2008 to 2012, and present a strong pattern of pollution concentrated around Beijing-Tianjin, the Yangtze River Delta, southwest China, and central China. The overall spatial pattern of decreasing from north to south is relatively constant over the study period.