Based on air pollutant observations in the period from October to November (related with APEC summit), 2014 from meteorological stations of major cities in Beijing-Tianjin-Hebei (BTH) and the surrounding region, the maps of mean air pollutant concentrations every seven (or five) days are obtained with selected spatial interpolation methods. Global autocorrelation and local autocorrelation analysis methods are used to study the spatial heterogeneities of pollutant concentrations, and the spatio-temporal distribution characteristics of pollutants are explored by using kernel density (KD). The followings are revealed:there were significant positive spatial autocorrelations and spatial aggregating features on the mean concentrations of all pollutants; the hot spots of mean PM2.5 concentrations distributed in Tianjin, Shijiazhuang, Baoding, and south Beijing; the hot spots of mean SO2 concentration concentrated mostly in Baoding, Tianjin, Tangshan and Shijiazhuang, while the hot spots of mean NO2 concentrations distributed mainly along BeijingTianjin-Tangshan and Baoding-Shijiazhuang-Xingtai; variations of air quality were notable at different times. Before and during the APEC summit, the regional control/limiting measures and the cold air activity effectively improved the air quality of Beijing and its surrounds, and the KD high value zones transformed gradually into middle or low KD-value zones. With the help of cold air currents and high wind speeds, nice air quality maintained within the first 5 days after the APEC summit. However, air pollutions rebounded sharply and high KDvalue zones gradually extended to most parts of the BTH region six days after the APEC summit. It is clear that spatial structure adjustment of industry and elimination of high air-pollution enterprises in BTH are imperative, and the regional synergic emission control in condition of poor meteorological period should be normalized.
[1] 雷宇, 宁淼, 孙亚梅. 建立大气治理长效机制留住"APEC蓝"[J]. 环境保护, 2014, 24(1):36-39. Lei Yu, Ning Miao, Sun Yamei. Establish long-term effective mechanism of atmospheric governance to keep "APEC Blue"[J]. Environmental Pro-tection, 2014, 24(1):36-39.
[2] 张志刚, 高庆先, 韩雪琴, 等. 中国华北区域城市间污染物输送研究[J]. 环境科学研究, 2004, 17(1):14-20. Zhang Zhigang, Gao Qingxian, Han Xueqin, et al. The study of pollutant transport between the cities in North China[J]. Research of Environmental Sciences, 2004, 17(1):14-20.
[3] 程念亮, 李云婷, 张大伟, 等. 2014年APEC期间北京市空气质量改善分析[J]. 环境科学, 2016(1):66-73. Cheng Nianliang, Li Yunting, Zhang Dawei, et al. Improvement of air quality during APEC in Beijing in 2014[J]. Environmental Science, 2016(1):66-73.
[4] Huang K, Zhang X, Lin Y. The"APEC Blue"phenomenon:regional emis-sion control effects observed from space[J]. Atmospheric Research, 2015, 164:65-75.
[5] Li J, Xie S D, Zeng L M, et al. Characterization of ambient volatile organic compounds and their sources in Beijing, before,during, and after Asia-Pa-cific Economic Cooperation China 2014[J]. Atmos. Chem. Phys., 2015, 15:7945-7959.
[6] 魏金来, 王浩, 高健, 等. 天津市不同功能区APEC会议期间大气污染物特征及污染成因分析[J]. 环境工程技术学报, 2016, 01:26-34. Wei Jinlai, Wang Hao, Gao Jian, et al. Observational study on characteris-tics of air pollutants and causes of pollution episodes during 2014 APEC in different function areas in Tianjin[J]. Journal of Environmental Engi-neering Technology, 2016(1):26-34.
[7] 高庆先, 刘俊蓉, 王宁, 等. APEC期间北京及周边城市AQI区域特征及天气背景分析[J]. 环境科学, 2015, 11:3952-3960. Gao Qingxian, Liu Junrong, Wang Ning, et al. Analysis on regional charac-teristics of air quality index and weather situation in Beijing and its sur-rounding cities during the APEC[J]. Environmental Science, 2015, 11:3952-3960.
[8] 李文涛, 高庆先, 刘俊蓉, 等. APEC期间北京空气质量改善对比分析[J]. 环境科学, 2015, 12:4340-4347. Li Wentao, Gao Qingxian, Liu Junrong, et al. Comparative analysis on the improvement of air quality in Beijing during APEC[J]. Environmental Sci-ence, 2015, 12:4340-4347.
[9] 王浩, 李轶, 高健, 等. APEC会议期间石家庄市大气污染特征及空气质量保障措施效果评估[J]. 环境科学研究, 2016, 29(2):164-174. Wang Hao, Li Yi, Gao Jian, et al. Characteristics of air pollution and eval-uation of the effects of air quality assurance measures in shijiazhuang city during the 2014 APEC meeting[J]. Research of Environmental Sciences, 2016, 29(2):164-174.
[10] Price D T, Mekenney D W, Nalder I A. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data[J]. Agricultural and Forest Meteorology, 2000, 101:81-94.
[11] Anselin L. Local indicators of spatial association-LISA[J]. Geographic Analysis, 1995, 27(2):93-115.
[12] 张纯. 中国城市形态对雾霾的影响及演化规律研究——基于地级市PM10年均浓度的分析[C]//城乡治理与规划改革——2014中国城市规划年会论文集. 北京:中国城市规划学会, 2014:15-19. Zhang Chun. Effects of urban morphology on the distribution and varia-tion characteristics of haze in the major cities of China——based on the annual mean concentrations of PM10[C]//Urban & Rural Governance and Planning Reform——Proceedings of the Annual Conference of China City Planning 2014. Beijing:China City Planning Review, 2014:15-19.
[13] Hakan T L, Sermin T. Impact of urbanization on local air quality:differ-ences in urban and rural areas of Balikesir, Turkey[J]. Clean-Soil Air Water, 2014, 42(11):1489-1499.
[14] Getis A, Ord J. The analysis of spatial association by use of distance sta-tistics[J]. Geogr. Anal., 1992, 24:189-206.
[15] 张松林, 张昆. 空间自相关局部指标Moran指数和G系数研究[J]. 大地测量与地球动力学, 2007(3):31-34. Zhang Songlin,Zhang Kun. Contrast study on moran and getis-ord index-es of local spatial autocorrelation and ices[J]. Journal of Geodesy and Geodynamics, 2007(3):31-34.
[16] 潘竟虎, 张文, 李俊峰, 等. 中国大范围雾霾期间主要城市空气污染物分布特征[J]. 生态学杂志, 2014, 33(12):3423-3431. Pan Jinghu, Zhang Wen, Li Junfeng, et al. Spatial distribution character-istics of air pollutants in major cities in China during the period of wide range haze pollution[J]. Chinese Journal of Ecology, 2014, 33(12):3423-3431.
[17] 王法辉. 基于GIS的数量方法与应用[M]. 北京:商务印书馆, 2009:49-56. Wang Fahui. Quantitative methods applications in GIS[M]. Beijing:Com-mercial Press, 2009:49-56.
[18] 程念亮, 李云婷, 张大伟, 等. 2014年10月北京市4次典型空气重污染过程成因分析[J]. 环境科学研究, 2015, 28(2):163-170. Cheng Nianliang, Li Yunting, ZhangDawei, et al. Analysis about the characteristics and formation mechanisms of serious pollution events in October 2014 in Beijing[J]. Research of Environmental Sciences, 2015, 28(2):163-170.
[19] 于超, 张芳华. 2014年10月大气环流和天气分析[J]. 气象, 2015, 41(1):126-132. Yu Chao, Zhang Fanghua. Analysis of the October 2014 atmospheric cir-culation and weather[J]. Meteorological Monthly, 2015, 41(1):126-132.
[20] 张小玲, 孙兆彬, 熊亚军, 等. APEC会议前后空气污染扩散条件与减排效果分析[C]//第32届中国气象学会年会S9大气成分与天气、气候变化论文集. 北京:中国气象学会, 2015:2-7. Zhang Xiaoling, Sun Zhaobin, Xiong Yajun, et al. On diffusion condi-tions of air pollution and effects of emission reduction related with APEC Summit in 2014[C]//The S9 of the 32th annual meeting of Chi-nese Meteorological Society concerning atmospheric composition and the change of weather and climate. Beijing:Chinese Meteorological So-ciety, 2015:2-7.
[21] 黄威, 张芳华. 2014年10月大气环流和天气分析[J]. 气象, 2015, 41(2):254-260. Huang Wei, Zhang Fanghua. Analysis of the October 2014 atmospheric circulation and weather[J]. Meteorological Monthly, 2015, 41(2):254-260.
[22] 董洁, 李梦茹, 孙若丹, 等. APEC会议期间北京市空气质量状况监控及措施解析[J]. 环境工程, 2016(2):155-158. Dong Jie, Li Mengru, Sun Ruodan, et al. Analysis on air quality monitor-ing and counter measures in Beijing during APEC conference[J]. Envi-ronmental Engineering, 2016(2):155-158.
