测绘通报 ›› 2020, Vol. 0 ›› Issue (4): 81-86.doi: 10.13474/j.cnki.11-2246.2020.0116

• 学术研究 • 上一篇    下一篇

城区空气质量指数时空分布特征及影响机制分析

吴益玲1,2, 李成名2, 戴昭鑫2, 吴政2   

  1. 1. 聊城大学环境与规划学院, 山东 聊城 252059;
    2. 中国测绘科学研究院, 北京 100089
  • 收稿日期:2019-09-06 修回日期:2020-03-01 出版日期:2020-04-25 发布日期:2020-05-08
  • 作者简介:吴益玲(1995-),女,硕士生,主要研究方向为智慧城市设计与规划。E-mail:2734345058@qq.com
  • 基金资助:
    国家自然科学基金项目(41871375)

Spatial and temporal distribution characteristics and influencing mechanisms of air quality index in urban areas

WU Yiling1,2, LI Chengming2, DAI Zhaoxin2, WU Zheng2   

  1. 1. School of Environment and Planning, Liaocheng University, Liaocheng 252059, China;
    2. Chinese Academy of Surveying and Mapping Sciences, Beijing 100089, China
  • Received:2019-09-06 Revised:2020-03-01 Online:2020-04-25 Published:2020-05-08

摘要: 济南市是中国雾霾最严重的城市之一,探究该地区大气污染的时空分布及影响机制具有重要意义。利用地统计插值分析了济南市主城区AQI的时空分布特征,并利用地理探测器定量分析了AQI的风险因子及影响机制。研究结果表明,年际尺度上,济南市主城区AQI在时间上呈逐年降低趋势,在空间上大致呈现出东南低西北高的分布态势;季节尺度上,济南市主城区AQI在时间上具有鲜明的季节性差异,从高到低依次为冬季、春季、秋季、夏季,在空间上则呈现出春季和冬季东南低北部高、夏季整个主城区均低、秋季南低北高的分布态势;月尺度上,济南市主城区AQI呈现出典型的“U”形分布特征,最高值为1月和12月、最低值为8月;各因子交互作用的影响力远大于单因子的影响力,其中,土地利用类型∩年均降水量的交互作用对济南市主城区AQI的影响力最大。研究显示,济南市主城区AQI受土地利用类型和年均降水量的共同影响最大。

关键词: 空气质量指数, AQI, 时空分布, 地理探测器, 影响机制

Abstract: Jinan is one of the cities with the most severe fog and haze in China. It is of great significance to explore the spatial and temporal distribution of air pollution and its impact mechanism in this area. Geostatistical interpolation is used to analyze the spatial and temporal distribution characteristics of AQI in the main urban area of Jinan, and the risk factors and influencing mechanism of AQI are quantitatively analyzed by using geographic detector. The results show that, on the interannual scale, the AQI in the main urban area of Jinan city decreases year by year in time, and generally presents the distribution trend of low southeast and high northwest in space. On the seasonal scale, the AQI in the main urban area of Jinan has distinct seasonal differences in time. The order from high to low is winter, spring, autumn and summer. Spatially, the AQI in the main urban area of Jinan presents a distribution pattern of high in spring and winter, low in southeast and north, low in summer, low in south and high in north in autumn. On the monthly scale, AQI in the main urban area of Jinan city presents typical “U” distribution characteristics, with the highest value in January and December and the lowest value in August. The influence of each factor interaction is far greater than that of single factor. Among them, the interaction of land use type annual average precipitation has the greatest influence on AQI in the main urban area of Jinan. The study shows that AQI in the main urban area of Jinan is most affected by land use types and annual average precipitation.

Key words: air quality index, AQI, spatial and temporal distribution, geographic detector, influence mechanism

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