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(): |
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 |
投稿时间:2022-11-29 修订日期:2023-03-02 |
DOI: |
中文关键词: 空气质量 灰色对象关联 灰色指标关联 区域聚类 |
英文关键词: air quality grey object association grey index correlation regional clustering |
基金项目:安徽省高校自然科学研究重点项目(KJ2020A0478) |
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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、空气污染六项指标与六个气象因子的数据,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六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大小的排列顺序,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。对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对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 indicators of air pollution and six meteorological factors of 26 key cities in six central provinces from 2016 to 2021, the grey object correlation analysis was used to cluster the urban areas according to the panel data definition, and then the grey index correlation model was used to explore the impact of six meteorological factors on air quality and identify the main Meteorological impact factor in the divided regional cities. The order of influence of each meteorological index can be obtained, and its positive and negative correlation can be reflected. The results show that: according to the clustering results, 26 cities in six central provinces can be divided into 7 regions running from north to south, forming a distribution structure of "two points, one line and four sides", indicating that air pollution has regional and transmissibility. According to the identification results of the main regional meteorological factors, it is found that the key factors leading to air pollution in different regions are not the same, and the meteorological conditions of the cities in the region have a certain regulation effect on the local air quality. The influence of different meteorological factors varies with time, and the effects and directions of meteorological factors are obviously different. However, in most regions, there is a negative correlation between precipitation, average temperature and relative humidity and the air quality index, while there is a positive correlation between average pressure and sunshine duration. All these factors indirectly verify the conclusion that the air quality index is higher in winter and spring and lower in summer and autumn. |
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