基于K-Means聚类的中国105个重点发展城市大气污染物识别研究
Research on identification of air pollutants in 105 key development cities in China based on K-Means clustering
朱绪绪 1曹文屹1
作者信息
- 1. 河北地质大学经济学院,河北 石家庄 050031
- 折叠
摘要
采用K-Means聚类法探讨中国105座重点发展城市在季节效应下的大气污染物排的放源及分布特征.结果表明,不同季节下各个城市的大气污染物分布及影响空气质量的主要污染物存在显著差异,其中春季和冬季的大气污染最为严重.研究结论对环境保护部门的环境提升以及各地区居民的自身防护具有重要意义.
Abstract
Employing the K-Means clustering method to explore the sources and distribution characteristics of air pollutant emissions in 105 key development cities in China under the effect of seasons.The results indicate that there are significant differences in the distribution of air pollutants and the main pollutants affecting air quality in various cities across different seasons,with the most severe air pollution occurring in spring and winter.The findings of this study are of great significance for environmental protection departments to enhance the environment and for residents in different regions to protect themselves.
关键词
大气污染物/空气质量/季节效应/K-Means聚类Key words
air pollutants/air quality/seasonal effect/K-Means clustering引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据