城市地理与新型城镇化

中国城市空气质量指数(AQI)的动态变化特征

  • 姜磊 ,
  • 周海峰 ,
  • 柏玲 ,
  • 王祖静
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  • 1.浙江财经大学 经济学院,中国浙江 杭州 310018;
    2.南昌大学 经济管理学院,中国江西 南昌 330031;
    3.苏州科技大学 环境科学与工程学院,中国江苏 苏州 215009
姜磊(1983—),男,山东烟台人,博士,助理教授。主要研究方向为能源与环境经济学、区域可持续发展。E-mail: lei_jiang@zufe.edu.cn。
※王祖静(1988—),男,江苏东台人,博士,讲师。主要研究方向为城市与区域发展规划。E-mail:wzjchshy@126.com。

收稿日期: 2017-12-21

  修回日期: 2018-02-26

  网络出版日期: 2025-03-28

基金资助

教育部人文社会科学研究青年基金项目(17YJC790061); 国家自然科学基金项目(41761021); 中国博士后学基金面上资助项目(2017M621740); 苏州科技大学引进人才项目(331812108)

The Spatio-Temporal Variation of Air Quality Index of Cities in China JIANG

  • Lei ,
  • ZHOU Haifeng ,
  • BAI Ling ,
  • WANG Zujing
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  • 1. School of Economics,Zhejiang University of Finance & Economics,Hangzhou 310018,Zhejiang,China;
    2. School of Economics & Management,Nanchang University,Nanchang 330031,Jiangxi,China;
    3. School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,Jiangsu,China

Received date: 2017-12-21

  Revised date: 2018-02-26

  Online published: 2025-03-28

摘要

针对日益严重的空气污染问题,采用2015—2016年全国334个城市空气质量监测数据,利用全域空间自相关、自然正交函数和空间描述性统计的方法来探索城市空气质量指数的时空动态变化特征。结果发现:①2016年较2015年全国AQI均值下降5.4%,其中夏季AQI值降幅最大,同比下降了9.44%,而春季AQI值降幅最小,同比下降了1.55%。分月来看,AQI呈现出U型分布,且6~8月为U型谷底。逐日来看,秋季和冬季的日均AQI波动幅度最大,2016年全国日均AQI达优良率较2015年上升4.14%。②2016年空气污染的区域范围相比2015年有缩小趋势。其中,京津冀城市群、山东半岛城市群和河南省以北地区围成的重污染区域呈现明显的收缩态势。京津冀城市群、山东半岛城市群和长三角城市群等空气质量优良率增长较快,而咸阳、渭南和阳泉等城市空气质量优良率呈下降态势。自然正交函数结果显示:新疆西部和冀鲁豫为高污染聚集的中心区域,而AQI低值区域则集中在云南、四川、贵州和海南的大部分地区。③2016年空气污染集聚程度高于2015年,京津冀地区和新疆西部地区仍然是空气污染的主要聚集区。

本文引用格式

姜磊 , 周海峰 , 柏玲 , 王祖静 . 中国城市空气质量指数(AQI)的动态变化特征[J]. 经济地理, 2018 , 38(9) : 87 -95 . DOI: 10.15957/j.cnki.jjdl.2018.09.010

Abstract

China has been suffering from the issue of the serious air pollution recently. Based on a data-set of air quality index of 334 cities in China from 2015 to 2016, this paper employs global spatial autocorrelation analysis, empirical orthogonal function and spatial descriptive statistics methods to investigate the spatio-temporal variation of air quality index of 334 cities. The findings are the following. 1) The yearly average value of AQI in 2016 was reduced by 5.4% from the benchmark in 2015. Moreover, the excellence rate in 2016 was improved by 4.14% from the benchmark in 2015. From the perspective of the quarterly time scale, AQI of 2016’s summer declined greatly, specifically by 9.44% from the benchmark in 2015’s summer while AQI of 2016’s winter declined slightly, specifically by 1.55% from the benchmark in 2015’s winter. Overall, AQI presented a U-shaped curve at the monthly time scale. Moreover, AQI values reached the nadir from June to August. The average values of daily AQI had the biggest variations in autumn and in winter. What's more, the excellence rate of the average value of AQI was improved by 4.14% compared with 2015. 2) The highly-polluted area in 2016 shrunk remarkably compared with 2015. Specifically, Beijing-Tianjin-Hebei Urban Agglomeration, Shandong Peninsula Urban Agglomeration and the northern Henan are traditionally air-polluted regions. The highly-polluted area of these regions became smaller compared with the year of 2015. In addition, the excellence rate of air quality of Beijing-Tianjin-Hebei Urban Agglomeration, Shandong Peninsula Urban Agglomeration and Yangtze River Delta Urban Agglomeration increased sharply during the sample period. On the other hand, the excellence rate of air quality of Xianyang, Weinan and Yangquan showed decreasing trends. The results of empirical orthogonal function indicated that from the monthly time scale the western Xinjiang, Hebei, Shandong and Henan were still highly polluted regions, while the most areas of Yunnan, Sichuan, Guizhou and Hainan showed lower AQI values, implying that these cities had good air quality conditions. 3) In 2016, air quality index of cities showed a higher clustering coefficient than that in 2015. Still Beijing-Tianjin-Hebei Urban Agglomeration and the western Xinjiang are highly-air-polluted regions.

参考文献

[1] 丁凌. 我国大面积雾霾的出现与警示[J]. 中国统计,2014(5):20-22.
[2] 穆泉,张世秋. 2013年1月中国大面积雾霾事件直接社会经济损失评估[J]. 中国环境科学,2013,33(11):2087-2094.
[3] Pope III A,Dockery D W.Health effects of fine particulate air pollution:lines that connect[J]. Journal of the Air & Waste Management Association,2006,56(10):709-742.
[4] Dong G H,Qian Z M,Xaverius P K,et al.Association between long - term air pollution and increased blood pressure and hypertension in China[J]. Hypertension,2013,61(3):578.
[5] 曹彩虹,韩立岩. 雾霾带来的社会健康成本估算[J]. 统计研究,2015,32(7):19-23.
[6] Kulmala M.China's choking cocktail[J]. Nature,2015,526(7574):497-499.
[7] 李名升,任晓霞,于洋,等. 中国大陆城市PM2.5污染时空分布规律[J]. 中国环境科学,2016,36(3):641-650.
[8] 王振波,方创琳,许光,等. 2014年中国城市PM2.5浓度的时空变化规律[J]. 地理学报,2015,70(11):1720-1734.
[9] 熊欢欢,梁龙武,曾赠,等. 中国城市PM2.5时空分布的动态比较分析[J]. 资源科学,2017(1):136-146.
[10] Peng J,Chen S,Lv H,et al.Spatiotemporal patterns of remote-ly sensed PM 2.5,concentration in China from 1999 to 2011[J]. Remote Sensing of Environment,2016,174:109-121.
[11] Lin X Q,Wang D.Spatiotemporal evolution of urban air quali-ty and socioeconomic driving forces in China[J]. Journal of Geographical Sciences,2016,26(11):1533-1549.
[12] 戴昭鑫,张云芝,胡云锋,等. 基于地面监测数据的2013~2015年长三角地区PM2.5时空特征[J]. 长江流域资源与环境,2016,25(5):813-821.
[13] 郑晓霞,李令军,赵文吉,等. 京津冀地区大气NO2污染特征研究[J]. 生态环境学报,2014,23(12):1938-1945.
[14] 刘俊,安兴琴,朱彤,等. 京津冀及周边减排对北京市PM2.5浓度下降评估研究[J]. 中国环境科学,2014,34(11):2726-2733.
[15] 王占山,张大伟,陈添,等. 2013年北京市NO2的时空分布[J]. 环境科学学报,2015,35(5):1529-1536.
[16] 段玉森,魏海萍,伏晴艳,等. 中国环保重点城市API指数的时空模态区域分异[J]. 环境科学学报,2008,28(2):384-391.
[17] 徐建辉,江洪. 长江三角洲PM2.5质量浓度遥感估算与时空分布特征[J]. 环境科学,2015(9):3119-3127.
[18] Guo H,Wang Y,Zhang H.Characterization of criteria air pol-lutants in Beijing during 2014-2015[J]. Environmental Research,2017,154:334-344.
[19] 李名升,张建辉,张殷俊,等. 近10年中国大气PM10污染时空格局演变[J]. 地理学报,2013,68(11):1504-1512.
[20] 王占山,李云婷,陈添,等. 2013年北京市PM2.5的时空分布[J]. 地理学报,2015,70(1):110-120.
[21] Hu J,Ying Q,Wang Y,et al.Characterizing multi-pollutant air pollution in China:Comparison of three air quality indices[J]. Environment International,2015,84:17-25.
[22] 姜磊,周海峰,柏玲,等. 空气质量指数(AQI)的社会经济影响因素分析——基于指数衰减效应视角[J]. 环境科学学报,2018,38(1):390-398.
[23] 肖悦,田永中,许文轩,等. 近10年中国空气质量时空分布特征[J]. 生态环境学报,2017,26(2):243-252.
[24] 中国环境保护部. 环境空气质量监测点位布设技术规范(HJ664-2013)[S]. 2012.
[25] 中国环境保护部. 环境空气质量标准(GB3095-2012)[S]. 2012.
[26] Moran P A P. Notes on Continuous Stochastic Phenomena[J]. Biometrika,1950,7(1-2):17-23.
[27] 柏玲,姜磊,刘耀彬. 长江中游城市群环境压力的时空特征——以工业SO2排放为例[J]. 经济地理,2017,37(3):174-181.
[28] 李小飞,张明军,王圣杰,等. 中国空气污染指数变化特征及影响因素分析[J]. 环境科学,2012,33(6):1936-1943.
[29] 中国环境保护部. 环境空气质量指数(AQI)技术规定[S]. 2012.
[30] 王兴杰,谢高地,岳书平. 经济增长和人口集聚对城市环境空气质量的影响及区域分异——以第一阶段实施新空气质量标准的74个城市为例[J]. 经济地理,2015,35(2):71-76.
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