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安徽省空气质量指数的时空变化特征研究

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为了解决区域性空气质量指数(AQI)时空分布特征不明及其与主要空气污染物之间的相干性缺乏深入了解的问题,采用突变检验和小波分析等方法,对2016~2023年安徽省16个城市的AQI以及六种主要空气污染物的体积分数数据进行分析研究。研究表明,在时间尺度上,AQI的年际变化处于下降趋势且存在显著的季节性差异,并且呈现年周期性特征,在空间分布上,呈现出"南低北高、西低东高"的特点;AQI与六种污染物在特定的时间段和区域内都存在一定的相干性。研究结果揭示了 AQI在时间和空间上的变化及其与特定污染物的关系,有助于了解影响空气质量的因素,有利于对空气质量差的地区进行有针对性的干预,同时,时间演变中表现出的多尺度特征也可以为空气质量的预测和制定有效的环境管理策略奠定基础。
Study on characteristics of spatial and temporal variations of air quality index in Anhui Province
In order to solve the problem of the regional air quality index(AQI)spatial and temporal distribution characteristics of the unknown and the lack of in-depth understanding of the coherence between the main air pollutants,mutation test and wavelet analysis and other methods were used to analyze and study the AQI and the concentration of the six major air pollutants in 16 cities in Anhui Province from 2016 to 2023.This paper showed that,on the time scale,the interannual variation of AQI was in a decreasing trend and there were significant seasonal differences,as well as annual cyclic characteristics;on the spatial distribution,the characteristics of'low in the south and high in the north,and low in the west and high in the east'were presented;and there exist a certain degree of correlation between the AQI and the six pollutants in a specific period of time and within a specific region.The results revealed the temporal and spatial variations of AQI and its correlation with specific pollutants,which could help to understand the factors affecting air quality,facilitate targeted interventions in areas with poor air quality,while the multi-scale characteristics demonstrated in the temporal evolution could also lay the foundation for air quality prediction and the development of effective environmentalmanagement strategies.

air quality indexspatio-temporal variation characteristicswavelet analysiscoherence analysisair pollutants

王子玉

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安徽理工大学电气与信息工程学院,安徽淮南 232001

空气质量指数 时空变化特征 小波分析 相干性分析 空气污染物

2024

哈尔滨商业大学学报(自然科学版)
哈尔滨商业大学

哈尔滨商业大学学报(自然科学版)

影响因子:0.405
ISSN:1672-0946
年,卷(期):2024.40(6)