Multifractal Detrended Cross-Correlation Analysis of Incidence
Rate of Respiratory Diseases and Atmospheric Pollutants

Abstract

Abstract: In order to get a better understanding of the correlation between respiratory diseases outpatients and atmospheric PM2:5, SO2 concentrations, multifractal detrended cross-correlation analysis (MF-DCCA) was used to study the sequence of respiratory diseases outpatients and PM2:5, SO2 concentrations in Yongding District. The results show that the correlation between respiratory diseases outpatients and atmospheric PM2:5, SO2 concentrations has the characteristics of long-term persistence and multifractal. Then the dynamic sources of their correlation multifractal features are analyzed. Through random rearrangement and phase randomization procedure, the results show that the long-term persistence effect is the main driving force at different time scales. Further study found that the correlation between respiratory system diseases and atmospheric PM2:5, SO2 concentrations sequence in the four seasons has long-term multifractal characteristics, and the multiple fractal features in summer are stronger than those in other seasons.

Key words: PM2:5, SO2, multifractal, respiratory diseases, atmospheric pollutant

CLC Number:

R122

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): 35-43.

References 18

[1]	Tang Wei. Human social development and air pollution [J]. Ecological Economy, 2018, 34(07): 2-5.
	唐魏. 人类社会发展与空气污染 [J]. 生态经济, 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.
	杨振华, 张月霞, 张全喜, 等. 沙尘天气 PM10 对多种心血管疾病日门诊人数的影响 [J]. 中国环境科学, 2015, 35(01):
27	7-284.
[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.
	杨维, 赵文吉, 宫兆宁, 等. 北京城区可吸入颗粒物分布与呼吸系统疾病相关分析 [J]. 环境科学, 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.
	陶燕, 羊德容, 兰岚, 等. 兰州市空气污染对呼吸系统疾病入院人数的影响 [J]. 中国环境科学, 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.
	欧阳飞云, 刘四云, 冒洁, 等. 大气污染与长沙市某儿童医院肺炎住院人数的关联性 [J]. 中南大学学报 (医学版), 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.
	吴一峰, 贺天锋, 陆蓓蓓, 等. 不同大气污染物对社区上呼吸道门诊就诊人次数的影响 [J]. 环境与职业医学, 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.
	黄毅, 刘春琼, 谢志辉, 等. 基于后向轨迹模型的成都市典型灰霾期间 PM2:5 演化的自组织分析 [J]. 安全与环境学报,
20	16, 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.
	张赛鑫, 何红弟, 张季平. 基于 MF-DCCA 的港口与非港口地区 PM2:5 与 NOx 互相关性分析 [J]. 西南大学学报 (自然科
学版)	, 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.
	谢焕丽, 何红弟. 香港港口 PM2:5 和 PM10 的多重分形特征 [J]. 大气与环境光学学报, 2019, 14(03): 179-190.
[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]	Zhou W X. Multifractal detrended cross-correlation analysis for two nonstationary signals [J]. Physical Review E, 2008, 77(6):
06	6211.
[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.
	李阳, 吴达胜, 周如意. 空气污染物浓度与呼吸系统疾病的关系研究 [J]. 环境污染与防治,2018, 40(05): 508-512, 517

Multifractal Detrended Cross-Correlation Analysis of Incidence Rate of Respiratory Diseases and Atmospheric Pollutants

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