基于 MF-DCCA 的呼吸道疾病与大气污染物相关性分析
[1] Tang Wei. Human social development and air pollution [J]. Ecological Economy, 2018, 34(07): 2-5.
[2] Krzyzanowski M, Kuna-Dibbert B, Schneider J. Health Effects of Transport-Related Air Pollution [M]. Copenhagen: WHO, 2005.
[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] 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] 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] 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] 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] 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] 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] 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] 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] 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] 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] 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] 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.
[17] Zhou W X. Multifractal detrended cross-correlation analysis for two nonstationary signals [J]. Physical Review E, 2008, 77(6): 066211.
[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.
黄毅, 郑凯莉, 彭立平, 刘春琼, 杨艺池. 基于 MF-DCCA 的呼吸道疾病与大气污染物相关性分析[J]. 大气与环境光学学报, 2021, 16(1): 35. HUANG Yi, ZHENG Kaili, PENG Liping, LIU Chunqiong, YANG Yichi. Multifractal Detrended Cross-Correlation Analysis of Incidence Rate of Respiratory Diseases and Atmospheric Pollutants[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(1): 35.