基于高频AQI数据的关中城市群空气污染规律探索

Research on Air Pollution Laws in Guanzhong Urban Agglomeration Based on High Frequency AQI Data

中文关键词:  高频AQI 数据  关中城市群  AQI 小时指数  首要污染物  VAR 模型

英文关键词:high frequency AQI data  Guanzhong urban agglomeration  AQI hour index  primary pollutants  VAR model

中文摘要:

      基于高频分时AQI及各污染物浓度数据，本文使用“AQI小时指数”、首要污染物等进行统计分析并建立VAR模型对关中城市群空气污染的总体情况、日内波动规律以及城市间空气污染的关联规律做了不同层次的挖掘。研究结果表明：①关中城市群的空气质量整体较差，春、冬季空气污染程度明显大于夏季，空气污染的“季节效应”和“集簇性”明显，且主要表现为颗粒物污染。②空气质量的日内波动规律在春、冬两季表现为下半天优于上半天，夏季夜间优于白天。但在不考虑四季AQI小时指数图“相位”差异的情况下，四季空气污染的日内波动呈现出明显的相似性。③各城市空气污染存在明显的关联规律。城市群内一个城市空气污染的恶化会加剧其他城市的空气污染，并且对其他城市空气污染的影响峰值会在24小时之内出现，且该影响会随着空间和时间尺度的增大而逐步衰减。

英文摘要:

      Based on high frequency data of AQI and contaminants, this paper made several layers of researches including the general situation, daily fluctuation rules and correlation laws between cities of air pollution by using statistic analysis with the hour index of AQI and primary pollutants and building the VAR model. The results presented the following three aspects: firstly, the situation of air pollution in Guanzhong urban agglomeration is not optimistic. Air pollution in spring and winter is worse than that in summer, and it is obvious that air pollution which often manifests as pollution of particulates has a seasonal effect and the clustering property. Secondly, air quality in first half day is worse than that in the rest of the day in spring and winter, while in summer, air quality in night is better than that in the day time. However, fluctuations of AQI hour index in four seasons have a noticeable likeness to one another in the situation that with no consideration of the phase position diversity. Thirdly, an impulse acts on one city can cause a plus pollution influence on others, and the peak of this influence will appear in one day generally. What's more, the influence will weaken along with the increase of the distance and time.