文章摘要
刘家保,顾娇娇.中部六省重点城市空气污染治理区域划分和影响因素分析[J].安徽建筑大学学报,2023,31(5):37-44
中部六省重点城市空气污染治理区域划分和影响因素分析
Regional Division of Air Pollution Control and Analysis of Influencing Factors in Key Cities of Six Provinces in Central China
  
DOI:
中文关键词: 空气质量  气象因素  灰色指标关联
英文关键词: air quality  meteorological factor  grey index correlation
基金项目:安徽省高校自然科学研究项目(2023AH010020)
作者单位
刘家保 安徽建筑大学 数理学院安徽 合肥 230601 
顾娇娇 安徽建筑大学 数理学院安徽 合肥 230601 
摘要点击次数: 2569
全文下载次数: 0
中文摘要:
      基于 2016 ~ 2021 年中部六省 26 个重点城市的空气质量指数、空气污染等 6 项指标与 6 个气象因子的数据,根据面板数据定义整理后,利用灰色对象关联分析对各城市区域聚类,然后使用灰色指标关联模型探讨 6 个气象因子对空气质量的影响,对划分的区域城市的主要气象影响因子进行识别,得到各气象指标影响力排序,且能够反映其正负关联性。研究结果表明:根据聚类结果,中部六省 26 个城市可以划分纵贯南北的 7 个区域,形成“两点一线四面”的分布结构,说明了空气污染具有区域性和传输性。区域内气象影响因素的识别分析结果发现,不同区域间导致空气污染的主要关键因素不尽相同,且区域内城市的气象条件对局部空气质量有一定的调节作用。不同气象因子的影响力随时间变化而变化,且气象因子的作用和作用方向均存在明显的差异。但在大多区域下,降水量、平均气温、相对湿度与空气质量指数之间存在负相关关系,平均气压和日照时长与空气质量指数存在正相关关系,这些因素都间接验证了空气质量指数冬春季节高、夏秋季节低的结论。
英文摘要:
      Based on the data of Air Quality Index (AQI),six air pollution indicators and six meteorological factors of 26 keycities in six central provinces from 2016 to 2021 as well as the panel data definition,the grey correlation analysis was used to clusterthe cities and the grey index correlation model was used to study the impacts of six meteorological factors on AQI and to identify themain meteorological factor in the clustered regional cities. The influence ranking of each meteorological index is obtained,whichreflects their positive and negative correlation. The results show that 26 key cities in six central provinces can be divided into 7 regionsrunning from north to south,forming a pattern of two points,one line and four sides,indicating that the air pollution is regional andtransportable. According to the identification of the main regional meteorological factors,the key factors leading to air pollution differesin different regions,and the meteorological conditions of cities have a certain regulation effect on the local air quality. The influenceof meteorological factors varies with time,and the effects and directions of meteorological factors are obviously different. However,inmost regions,there is a negative correlation between precipitation,average temperature,relative humidity and AQI,while a positive correlation between average pressure,sunshine duration and AQI. All these factors indirectly verify the conclusion that AQI is higher inwinter and spring,and lower in summer and autumn.
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮