[1] [1] Tang Wei. Human social development and air pollution [J]. Ecological Economy, 2018, 34(07): 2-5.

[2] [2] Krzyzanowski M, Kuna-Dibbert B, Schneider J. Health Effects of Transport-Related Air Pollution [M]. Copenhagen: WHO, 2005.

[3] [3] Yang Zhenhua, Zhang Yuexia, Zhang Quanxi, et al. Association of PM10 derived from dust events with daily outpatient number for cardiovascular diseases [J]. China Environmental Science, 2015, 35(01): 227-284.

[4] [4] Yang Wei, Zhao Wenji, Gong Zhaoning, et al. Spatial distribution of inhalable particulate and association with respiratory disease in Beijing City [J]. Environmental Science, 2013, 34(01): 237-243.

[5] [5] Tao Yan, Yang Derong, Lan Lan, et al. Relationship between air pollutant and respiratory diseases hospitalization in Lanzhou [J]. China Environmental Science, 2013, 33(01): 175-180.

[6] [6] Ouyang Feiyun, Liu Siyun, Mao Jie. Relationship between air pollution and the number of pneumonia hospitalization in a children′s hospital in Changsha [J]. Journal of Central South University (Medical Sciences), 2017, 42(12): 1417-1424.

[7] [7] Wu Yifeng, He Tianfeng, Lu Beibei, et al. Effects of various air pollutants on upper respiratory diseases outpatient visits at community levels [J]. Journal of Environmental and Occupational Medicine, 2015, 32(10): 909-913.

[8] [8] Huang Yi, Liu Chunqiong, Xie Zhihui, et al. On the pollution source apportionment and the characterization of carbon fractions in PM10 at the bus stops in Tianjin [J]. Journal of Safety and Environment, 2016, 16(01): 313-319.

[9] [9] Zhang Saixin, He Hongdi, Zhang Jiping. Multifractal detrended cross-correlation analysis of PM2.5 and NOx in a port area and a non-port area [J]. Journal of Southwest University (Natural Science Edition), 2017, 39(08): 161-167.

[10] [10] Watorrek M, Drozdz S, Oswiecimk P, et al. Multifractal cross-correlations between the world oil and other financial markets in 2012-2017 [J]. Energy Economics, 2019, 81: 874-885.

[11] [11] Ruan Q S, Bao J J, Zhang M Q, et al. The effects of exchange rate regime reform on RMB markets: A new perspective based on MF-DCCA [J]. Physica A, 2019, 522: 122-134.

[12] [12] Cao X, Xu W. Nonlinear structure analysis of carbon and energy markets with MFDCCA based on maximum overlap wavelet transform [J]. Physica A, 2016, 444: 505-523.

[13] [13] Cai Y X, Lu X S, Ren Y P, et al. Exploring the dynamic relationship between crude oil price and implied volatility indices: A MF-DCCA approach [J]. Physica A, 2019, 536: 1-17.

[14] [14] Liu C Q, Geng H, Shen P, et al. Coupling detrended fluctuation analysis of the relationship between O3 and its precursors-a case study in Taiwan [J]. Atmospheric Environment, 2018, 188: 18-24.

[15] [15] Xie Huanli, He Hongdi. Multifractal property between PM2.5 and PM10 in Hongkong port [J]. Journal of atmospheric and environmental optics, 2019, 14(03): 179-190.

[16] [16] Podobnik B, Stanley H E. Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series [J]. Physical Review Letters, 2008, 100: 084102.

[17] [17] Zhou W X. Multifractal detrended cross-correlation analysis for two nonstationary signals [J]. Physical Review E, 2008, 77(6): 066211.

[18] [18] Li Yang, Wu Dasheng, Zhou Ruyi. Relationship between air pollutant and respiratory diseases [J]. Environmental Pollution and Control, 2018, 40(05): 508-512, 517.