Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 4, 436(2025)
Deterministic and nonlinear tests of time series of atmospheric extinction coefficient in haze events
[1] Sun Y, Ma Z F, Niu T et al. Characteristics of climate change with respect to fog days and haze days in China in the past 40 years[J]. Climatic and Environmental Research, 18, 397-406(2013).
[2] Ding Y H, Liu Y J. Analysis of long-term variations of fog and haze in China in recent 50 years and their relations with atmospheric humidity[J]. Science China: Earth Sciences, 44, 37-48(2014).
[3] An Z S, Huang R J, Zhang R Y et al. Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes[J]. Proceedings of the National Academy of Sciences, 116, 8657-8666(2019).
[4] Zhang X Y, Sun J Y, Wang Y Q et al. Factors contributing to haze and fog in China[J]. Chinese Science Bulletin, 58, 1178-1187(2013).
[5] Quan J N, Xu X D, Jia X C et al. Multi-scale processes in severe haze events in China and their interactions with aerosols: Mechanisms and progresses[J]. Chinese Science Bulletin, 65, 810-824(2020).
[6] Zhang R H, Li Q, Zhang R N. Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013[J]. Science China: Earth Sciences, 44, 27-36(2014).
[7] Wu P, Ding Y, Liu Y. Atmospheric circulation and dynamic mechanism for persistent haze events in the Beijing-Tianjin-Hebei region[J]. Advances in Atmospheric Sciences, 34, 429-440(2017).
[8] Yang Y, Ni C, Jiang M et al. Effects of aerosols on the atmospheric boundary layer temperature inversion over the Sichuan Basin, China[J]. Atmospheric Environment, 262, 118647(2021).
[9] Dong Q, Zhao P S, Wang Y C et al. Impact of mountain-valley wind circulation on typical cases of air pollution in Beijing[J]. Environmental Science, 38, 2218-2230(2017).
[10] Liu X G, Zhang Y H. Advances in research on aerosol hygroscopic properties at home and abroad[J]. Climatic and Environmental Research, 15, 808-816(2010).
[11] Liu F, Tan Q W, Jiang X et al. Effect of relative humidity on particulate matter concentration and visibility during winter in Chengdu[J]. Environmental Science, 39, 1466-1472(2018).
[12] Li J, Liu Z, Gao W et al. Insight into the formation and evolution of secondary organic aerosol in the megacity of Beijing, China[J]. Atmospheric Environment, 220, 117070(2020).
[13] Liu Q, Jia X, Quan J et al. New positive feedback mechanism between boundary layer meteorology and secondary aerosol formation during severe haze events[J]. Scientific Reports, 8, 1-8(2018).
[14] Yuan C S, Lee C G, Liu S H et al. Correlation of atmospheric visibility with chemical composition of Kaohsiung aerosols[J]. Atmospheric Research, 82, 663-679(2006).
[15] Song Y, Tang X Y, Fang C et al. Relationship between the visibility degradation and particle pollution in Beijing[J]. Acta Scientiae Circumstantiae, 23, 468-471(2003).
[16] Chen J, Zhao C, Ma N et al. A parameterization of low visibilities for hazy days in the North China Plain[J]. Atmospheric Chemistry and Physics, 12, 4935-4950(2012).
[17] Zhang Z C, Ni C J, Zhang C Y et al. Relationship between particle size hygroscopic growth and scattering hygroscopic growth[J]. China Environment Science, 40, 5198-5204(2020).
[18] Zhou Y Y, Ma Y, Zheng J et al. Pollution characteristics and light extinction effects of water-soluble ions in PM2.5 during winter hazy days at north suburban Nanjing[J]. Environmental Science, 36, 1926-1934(2015).
[19] He J Q, Yu X N, Zhu B et al. Characteristics of aerosol extinction and low visibility in haze weather in winter of Nanjing[J]. China Environment Science, 36, 1645-1653(2016).
[20] Hu S, Zhao G, Tan T et al. Current challenges of improving visibility due to increasing nitrate fraction in PM2.5 during the haze days in Beijing, China[J]. Environmental Pollution, 290, 118032(2021).
[21] Yao L, Garmash O, Bianchi F et al. Atmospheric new particle formation from sulfuric acid and amines in a Chinese megacity[J]. Science, 361, 278-281(2018).
[22] Liu J, Ma Z F, Sun Y et al. Spatial-temporal characteristics of haze days with different intensities in Sichuan during 1981–2014 and their climate causes[J]. Acta Scientiae Circumstantiae, 36, 4328-4339(2016).
[23] Li C, Ni C J, Yang M et al. Humidity correction method based on probability distribution parameter of atmospheric extinction coefficient[J]. Laser & Optoelectronics Progress, 58, 118-125(2021).
[25] Koschmieder H. Theorie der horizontalen sichtweite[J]. Beiträge zur Physik der freien Atmosphäre, 33-53(1924).
[26] Wang H Y, Lu S[M]. Nonlinear Time Series Analysis and Its Application(2006).
[27] Kantz H, Schreiber T[M]. Nonlinear Time Series Analysis(2004).
[28] Kennel M B, Brown R, Abarbanel H D. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Physical Review A, 45, 3403(1992).
[29] Huang T F, Li B Y, Xiong J X. Nonlinear and deterministic tests of Chinese gold market[J]. Statistics & Decision, 142-144(2011).
[30] Grassberger P, Procaccia I. Measuring the Strangeness of Strange Attractors[M]. The theory of chaotic attractors, 170-189(2004).
[31] Grassberger P, Procaccia I. Estimation of the Kolmogorov entropy from a chaotic signal[J]. Physical Review A, 28, 2591-2593(1983).
[32] Wolf A, Swift J B, Swinney H L et al. Determining Lyapunov exponents from a time series[J]. Physica D: Nonlinear Phenomena, 16, 285-317(1985).
[33] Cao L. Practical method for determining the minimum embedding dimension of a scalar time series[J]. Physica D: Nonlinear Phenomena, 110, 43-50(1997).
[34] Sun H H, Ni C J, Cui L et al. Stochastic characteristic analysis of time series of extinction coefficient in Chengdu[J]. Acta Optica Sinica, 36, 9-17(2016).
[35] Li J, Zhao Y Q, Bao Y H. Voice processing technique for patients with stroke based on chao theory and surrogate data analysis[J]. Journal of Zhejiang University (Engineering Science), 49, 36-41(2015).
[36] Liu X, Bao C C. Nonlinear analysis of audio signals using surrogate data test[J]. Journal of Data Acquisition and Processing, 29, 243-247(2014).
[37] Theiler J, Eubank S, Longtin A et al. Testing for nonlinearity in time series: the method of surrogate data[J]. Physica D: Nonlinear Phenomena, 58, 77-94(1992).
[38] Ma J H, Liu L X. Testing for nonlinearity in time series of monthly rainfall in Yunnan[J]. Journal of Systems Engineering, 22, 561-567(2007).
Get Citation
Copy Citation Text
Siyuan WANG, Changjian NI, Zisheng MENG, Qiaoyu SHI, Mengjiao JIANG, Ying ZHANG. Deterministic and nonlinear tests of time series of atmospheric extinction coefficient in haze events[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(4): 436
Category:
Received: Apr. 5, 2023
Accepted: --
Published Online: Sep. 30, 2025
The Author Email: Siyuan WANG (wsiyuan00@163.com)