基于图模型的浙江地区空气质量影响因素分析
The Analysis of Air Quality Impact Factors in Zhejiang Province Based on the Graphical Model
DOI: 10.12677/ojns.2024.125103, PDF,   
作者: 张金玉：重庆对外经贸学院数学与计算机学院，重庆
关键词: 空气质量；高斯图模型；空间插值；EKC曲线；AP聚类；Air Quality； Gaussian Diagram Model； Spatial Interpolation； EKC Curve； AP Clustering
摘要: 本文将图模型运用于环境污染问题，通过高斯图模型方法与AP聚类算法分析浙江地区空气质量的主要影响因素。重点从气象及经济方向挖掘对空气质量指数的影响，同时在经济方向的分析结合了EKC曲线概念，更为科学的解释判断经济发展对环境污染的影响与目前的现状，并通过空间插值的方法来对一定区域空气质量分布进行估计，以此解决了空气质量监测站点数量有限的问题。结果表明：杭嘉湖地区的空气污染问题较为严重，而舟山地区保持着最好的空气质量，浙江地区空气质量受到气象及经济两方面影响，包括气压、相对湿度等气象因素及第二产业比重、人口规模等经济因素。
Abstract: In this paper, the graph model is applied to the problem of environmental pollution, and the main influencing factors of air quality in Zhejiang are analyzed by the Gaussian graph model method and AP clustering algorithm. At the same time, the analysis of the economic direction combines the concept of EKC curve to explain and judge the impact of economic development on environmental pollution and the current status quo more scientifically, and estimates the air quality distribution in a certain area through spatial interpolation, so as to solve the problem of limited number of air quality monitoring stations. The results show that the air pollution in Hangjiahu area is more serious, while Zhoushan area maintains the best air quality. The air quality in Zhejiang area is affected by meteorological and economic factors, including atmospheric pressure, relative humidity and other meteorological factors, the proportion of the second industry, population size and other economic factors.
文章引用：张金玉. 基于图模型的浙江地区空气质量影响因素分析[J]. 自然科学, 2024, 12(5): 937-946. https://doi.org/10.12677/ojns.2024.125103

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