地理科学 ›› 2020, Vol. 40 ›› Issue (2): 190-199.doi: 10.13249/j.cnki.sgs.2020.02.004

• • 上一篇    下一篇

中国空气质量时空变化特征

张向敏1,2, 罗燊1, 李星明1(), 李卓凡1, 樊勇2,3, 孙健武2   

  1. 1. 华中师范大学地理过程分析与模拟湖北省重点实验室,湖北 武汉 430079
    2. 信阳师范学院地理科学学院,河南 信阳 464000
    3. 深圳大学建筑与城市规划学院智慧城市研究院和空间信息智能感知与服务深圳市重点实验室,广东 深圳 518000
  • 收稿日期:2019-02-15 修回日期:2019-05-23 出版日期:2020-02-10 发布日期:2020-04-09
  • 通讯作者: 李星明 E-mail:xingming@mail.ccnu.edu.cn
  • 作者简介:张向敏(1983-),女,河南新乡人,博士研究生,主要从事区域发展与城乡规划研究。E-mail: xyzxm@126.com
  • 基金资助:
    国家自然科学基金项目(41671179);国家自然科学基金项目(41701187);河南省哲学社会科学规划项目(2016BJJ046);河南省哲学社会科学规划项目(2017CJJ093);河南省教育厅人文社会科学研究项目(2019-ZZJH-178);信阳师范学院青年骨干教师资助计划(2016GGJS-02);信阳师范学院青年科研基金项目资助(2018-QN-039)

Spatio-temporal Variation Features of Air Quality in China

Zhang Xiangmin1,2, Luo Shen1, Li Xingming1(), Li Zhuofan1, Fan Yong2,3, Sun Jianwu2   

  1. 1. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, Hubei, China;
    2. School of Geographic Science, Xinyang Normal University, Xinyang 464000, Henan, China
    3. Research Institute for Smart Cities & Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518000, Guangdong, China;
  • Received:2019-02-15 Revised:2019-05-23 Online:2020-02-10 Published:2020-04-09
  • Contact: Li Xingming E-mail:xingming@mail.ccnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41671179);National Natural Science Foundation of China(41701187);Philosophy and Social Science Planning Project of Henan Province(2016BJJ046);Philosophy and Social Science Planning Project of Henan Province(2017CJJ093);Humanities and Social Science Research Project of Henan Provincial Department of Education(2019-ZZJH-178);Funding Project for Young Key Teachers of Xinyang Normal University(2016GGJS-02);Youth Research Fund Project of Xinyang Normal University(2018-QN-039)

摘要:

基于2015年中国343个地区空气质量指数(AQI)数据,运用统计分析和空间自相关分析方法,对全国及陆地表层系统九大区域空气质量时空变化特征进行分析。结果表明:全国及九大区域空气质量春季较差、夏秋优良、冬季最差,AQI季节均值呈现“U”形变化特征。全 国及九大区域AQI月均值变化趋势呈现“L”形特征。全国及九大区域AQI日均值变化趋势呈现周期性W~脉冲型波动规律。“高污染”和“低污染”区域呈现出北高南低的南北分异格局。九大区域首要污染物频次结构差异明显,频次最高的首要污染物PM2.5或者PM10在空间上呈现出明显的东西分异格局。

关键词: 空气质量, 空间自相关, 九大区域, 中国

Abstract:

Cross-regional air pollution control is an urgent problem in ecological civilization construction. Based on the daily air quality index (AQI) data of 343 districts in China in 2015, used the statistical analysis and spatial autocorrelation analysis method, the temporal and spatial distribution features of air quality in China and nine regions of the terrestrial surface system was analyzed. The results show that: 1) The seasonal mean values of AQI in the whole country and nine major regions show the air quality is worse in spring, is excellent in summer and autumn, and falls to its worst in winter. Meanwhile, the seasonal mean values of AQI show a “U” shape. 2) The monthly mean values of AQI in the whole country and nine major regions show a “L” shape. 3) The daily mean values of AQI in the whole country and nine major regions show a periodic W-pulse fluctuation pattern. 4) The “hot spot” and “cold spot” regions demonstrate the differential pattern of being high and hot in the North and being low and cold in the South. 5) The frequency structure of the primary pollutant in the nine regions is significantly diversified, and the highest frequency of the primary pollutant PM2.5 or PM10 has a clear differential pattern between the East and the West.

Key words: air quality, spatial autocorrelation, nine regions, China

中图分类号: 

  • X144