Skip to main content
Log in

Long-memory traces in \(\hbox {PM}_{10}\) time series in Athens, Greece: investigation through DFA and R/S analysis

  • Original Paper
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

This paper investigates the existence of chaos in concentration dynamics of particulate matter with an aerodynamic diameter less than or equal to \(10\,\upmu \hbox {m}\) (\(\hbox {PM}_{10}\)) in the greater Athens area (GAA), Greece. It reports findings on three 16-year \(\hbox {PM}_{10}\) time series recorded by three different air pollution monitoring stations located in GAA and examines if critical fractal epochs with long memory exist. Detrended Fluctuation Analysis (DFA) and Rescaled Range (R/S) Analysis were used via sliding windows of approximately 1-month duration. In all \(\hbox {PM}_{10}\) time series, several segments were found with critical fractal behaviour and hidden long-memory patterns. All these segments exhibited Hurst exponents above 0.75 and DFA exponents above 1.75. Twelve \(\hbox {PM}_{10}\) segments with fractality and long memory were commonly identified by both techniques. In one case, long memory was identified concurrently across all three air pollution monitoring stations and in another case, across two stations. The importance of the agreement between two different and independent chaos-analysis techniques is discussed in association with the proper selection of threshold values. This is the second time to address chaos in \(\hbox {PM}_{10}\) data series in GAA, and the first time to combine two widely accepted techniques, DFA and R/S analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aftab A, Wang N, Zhao G, Mehmood T, Nikolopoulos D (2019) Long-lasting patterns of radon in groundwater at panzhihua, china: Results from dfa, fractal dimensions and residual radon concentration. J Earth Sci Clim Change 53. https://www.terrapub.co.jp/journals/GJ/papersinpress.html

  • Alam A, Wang N, Zhao G, Mehmood T, Nikolopoulos D (2019) Long-lasting patterns of radon in groundwater at Panzhihua, China: results from DFA, fractal dimensions and residual radon concentration. Geochem J 53(6):341–358

    Google Scholar 

  • Antanasijević DZ, Pocajt VV, Povrenović D, S RMD, Perić-Grujić AA (2013) Pm10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization. Sci Tot Environ 443:511–519

  • Bak P, Tang C, Wiesenfeld K (1987) Self-organized criticality: an explanation of 1/f noise. Phys Rev Lett 59(4):381–384

    Google Scholar 

  • Barai SV, Dikshit AK, Sharma S (2007) Neural network models for air quality prediction: a comparative study. In: Soft computing in industrial applications. Advances in soft computing, vol 39. Springer, Berlin

  • Benjamin N, Sharma S, Pendharker U, Shrivastava JK (2014) Air quality prediction using artificial neural network. Int J Chem Stud 2(4):7–9

    Google Scholar 

  • Buldyrev SV, Goldberger AL, Havlin S, Mantegna RN, Matsa ME, Peng CK, Simons M, Stanley HE (1995) Long-range correlation properties of coding and noncoding DNA sequences: genbank analysis. Phys Rev Stat Phys Plasmas Fluids Relat Interdiscip Topics 51(5):5084–5091

  • Caccia D, Percival D, Cannon M, Raymond G, Bassingthwaighte J (1997) Analyzing exact fractal time series: evaluating dispersional analysis and rescaled range methods. Phys A Stat Mech Appl 246(3):609–632

    Google Scholar 

  • Cantzos D, Nikolopoulos D, Petraki E, Nomicos C, Yannakopoulos PH, Kottou S (2015) Identifying long-memory trends in pre-seismic mhz disturbances through support vector machines. J Earth Sci 6(3):1–9

    Google Scholar 

  • Cantzos D, Nikolopoulos D, Petraki E, Yannakopoulos PH, Nomicos C (2016) Fractal analysis, information-theoretic similarities and svm classification for multichannel, multi-frequency pre-seismic electromagnetic measurements. J Earth Sci 7(367):1–10

    Google Scholar 

  • Cantzos D, Nikolopoulos D, Petraki E, Yannakopoulos PH, Nomicos C (2018) Earthquake precursory signatures in electromagnetic radiation measurements in terms of day-to-day fractal spectral exponent variation: analysis of the eastern aegean 13/04/2017-20/07/2017 seismic activity. J Seismol 22(6):1499–1513

    Google Scholar 

  • Carrizosa E, Olivares-Nadal AV, Ramírez-Cobo P (2013) Time series interpolation via global optimization of moments fitting. Eur J Oper Res 230:97–112

    Google Scholar 

  • Chan CK, Yao X (2008) Air pollution in mega cities in China. Atmos Environ 42:1–42

    Google Scholar 

  • Chelani AB (2012) Persistence analysis of extreme CO, NO$_2$ and O$_3$ concentrations in ambient air of Delhi. Atmos Res 108:128–134

    Google Scholar 

  • Chen Z, Ivanov P, Hu K, Stanley H (2002) Effect of nonstationarities on detrended fluctuation analysis. Phys Rev E 65:041(107):1–15

  • Dattatreya G (2005) Hurst parameter estimation from noisy observations of data trafic traces. In: 4th WSEAS international conference on electronics, control and signal processing, pp 193–198

  • di He H, Lu WZ, Xue Y (2014) Prediction of particulate matter at street level using artificial neural networks coupling with chaotic particle swarm optimization algorithm. Build Environ 78:111–117

    Google Scholar 

  • Díaz-Robles LA, Ortega JC, Fu JS, Reed GD, Chow JC, Moncada-Herrera Watson J J G (2008) A hybrid arima and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile. Atmos Environ 42(35):8331–8340

    Google Scholar 

  • Dong Q, Wang Y, Li P (2017) Multifractal behavior of an air pollutant time series and the relevance to the predictability. Environ Pollut 222:444–457

    Google Scholar 

  • Fang M, Chan CK, Yao XH (2009) Managing air quality in a rapidly developing nation: China. Atmos Environ 43:79–86

    Google Scholar 

  • Fujinawa Y, Takahashi K (1998) Electromagnetic radiations associated with major earthquakes. Phys Earth Planet Inter 105(3–4):249–259

    Google Scholar 

  • Furuya K, Kudo Y, Okinaga K, Yamuki M, Takahashi S, Araki Y, Hisamatsu Y (2001) Seasonal variation and their characterization of suspended particulate matter in the air of subway stations. J Trace Microprobe Tech 19(4):469–485

    Google Scholar 

  • Gan M, Cheng Y, Liu K, Zhang GL (2014) Seasonal and trend time series forecasting based on a quasi-linear autoregressive model. Appl Soft Comput 24:13–18

    Google Scholar 

  • Gilmore M, Yu C, Rhodes T, Peebles W (2002) Investigation of rescaled range analysis, the hurst exponent, and long-time correlations in plasma turbulence. Phys Plasmas 9(4):1312–1317

    Google Scholar 

  • Granero MS, Segovia JT, Perez JG (2008) Some comments on hurst exponent and the long memory processes on capital markets. Physica A 387(22):5543–5551

    Google Scholar 

  • Grivas G, Chaloulakou A (2006) Artificial neural network models for prediction of pm 10 hourly concentrations in the greater area of Athens, Greece. Atmos Environ 40(7):1216–1229

    Google Scholar 

  • Hand JL, Schichtel BA, Pitchford M, Malm WC, Frank NH (2012) Seasonal composition of remote and urban fine particulate matter in the United States. J Geophys Res 117:D05209

    Google Scholar 

  • Hayakawa M, Hobara Y (2010) Current status of seismo-electromagnetics for short-term earthquake prediction. Geom Nat Hazards Risk 1(2):115–155

    Google Scholar 

  • Hayakawa M, Kawate R, Molchanov O, Yumoto K (1996) Results of ultra-low-frequency magnetic field measurements during the Guam earthquake of 8 August 1993. Geophys Res Lett 23:241–244

    Google Scholar 

  • Hayakawa M, Itoh T, Hattori K, Yumoto K (2000) Ulf electromagnetic precursors for an earthquake at Biak, Indonesia on February 17, 1996. Geophys Res Lett 27:1531–1534

    Google Scholar 

  • Hayakawa M, Ida Y, Gotoh K (2005) Multifractal analysis for the Ulf geomagnetic data during the Guam earthquake. Electromagnetic compatibility and electromagnetic ecology. In: IEEE 6th international symposium on June 2005, vol 239–243, pp 21–24

  • He Y, Gu Z, Lu W, Zhang L, Okuda T, Fujioka K, Luo H, Yu C (2019) Atmospheric humidity and particle charging state on agglomeration of aerosol particles. Atmos Environ 197:141–149

    Google Scholar 

  • Ho KF, Lee SC, Cao CJJ, J C W, J G CK Chan (2006) Seasonal variations and mass closure analysis of particulate matter in Hong Kong. Sci Tot Environ 355(1–3):276–287

  • Hong L (2011) Decomposition and forecast for financial time series with high-frequency based on empirical mode decomposition. Energy Proc 5:1333–1340

    Google Scholar 

  • Hooyberghs J, Mensink C, Dumont G, Fierens F, Brasseur O (2005) A neural network forecast for daily average pm10 concentrations in Belgium. Atmos Environ 39(18):3279–3289

    Google Scholar 

  • Hu K, Ivanov P, Chen Z, Carpena P, Stanley H (2001) Effect of trends on detrended fluctuation analysis. Phys Rev E 64(011 114):1–19

    Google Scholar 

  • Hu K, Ivanov PC, Chen Z, Hilton MF, Stanley HE, Shea S (2004) Statistical mechanics and its applications. Physica A 337:2004

    Google Scholar 

  • Hu Z, Li W, Qiao J (2016) Prediction of pm2.5 based on Elman neural network with chaos theory. In: 2016 35th Chinese control conference (CCC), pp 3573–3578

  • Hurst H (1951) Long term storage capacity of reservoirs. Trans Am Soc Civ Eng 116:770–808

    Google Scholar 

  • Hurst H, Black R, Simaiki Y (1965) Long-term Storage: An Experimental Study. Constable, London, hurst H, Black R, Simaiki Y (1965) Long-term storage: an experimental study. Constable, London

    Google Scholar 

  • Ibarra-Berastegi G, Elias A, Barona A, Saenz J, Ezcurra A, de Argandona JD (2008) From diagnosis to prognosis for forecasting air pollution using neural networks: air pollution monitoring in Bilbao. Environ Model Softw 23:622–637

    Google Scholar 

  • Ivanov PC, Rosenblum MG, Peng CK, Mietus JE, Havlin S, Stanley HE, Goldberger AL (1999) Multifractality in human heartbeat dynamics. Nature 399:461–465

    Google Scholar 

  • Ivanova K, Ausloos M (1999) Application of the detrended fluctuation analysis (dfa) method for describing cloud breaking. Physica A 274(1–2):349–354

    Google Scholar 

  • Kai S, Chun-qiong L, Nan-shan A, Xiao-hong Z (2008) Using three methods to investigate time-scaling properties in air pollution indexes time series. Nonlinear Anal Real World Appl 9:693–707

    Google Scholar 

  • Khokhlov VN, Glushkov AV, Bunyakova Loboda YY N S (2008) Short-range forecast of atmospheric pollutants using non-linear prediction method. Atmos Environ 42:7284–7292

    Google Scholar 

  • Kilcik A, Anderson C, Rozelot J, Ye H, Sugihara G, Ozguc A (2009) Nonlinear prediction of solar cycle 24. Astrophysics J 693:1173–1177

    Google Scholar 

  • Koelemeijer RBA, Homan CDM (2006) Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe. Atmos Environ 40(27):5304–5315

    Google Scholar 

  • Koscielny-Bunde E, Bunde A, Havlin S, Roman HE, Goldreich Y, Schellnhuberet H (1998) Indication of a universal persistence law governing atmospheric variability. Phys Rev Lett 81:729–732

    Google Scholar 

  • Kourentzes N, Barrow DK, Crone SF (2014) Neural network ensemble operators for time series forecasting. Expert Syst Appl 41:4235–4244

    Google Scholar 

  • Larissi IK, Koukouletsos MKV, K P AA, Paliatsos AG (2010) Pm10 concentration levels in the greater Athens area, Greece. Fresen Environ Bull 19(2):226–231

  • Lau JC, Hung WT, Yuen DD, Cheung CS (2009) Long-memory characteristics of urban roadside air quality. Transp Res D 14:353–359

    Google Scholar 

  • Lee CK (2002) Multifractal characteristics in air pollutant concentration time series. Water Air Soil Pollut 135(1–4):389–409

    Google Scholar 

  • Lee CK, Ho DS, Yu CC, Wang CC, H HT (2003) Simple multifractal cascade model for the air pollutant concentration time series. Environmetrics 14:255–269

  • Lee CK, Juang LC, Wang CC, Liao YY, Yu CC, Liu YC, Ho DS (2006) Scaling characteristics in ozone concentration time series (octs). Chemosphere 62:934–946

    Google Scholar 

  • Li X, Polygiannakis J, Kapiris P, Peratzakis A, Eftaxias K, Yao X (2005) Fractal spectral analysis of pre-epileptic seizures in terms of criticality. J Neural Eng 2:11–16

    Google Scholar 

  • Liu N, Yu HY, Zhao JJS (2013) Integrated modeling of urban-scale pollutant transport: application in a semi-arid urban valley, northwestern China. Atmos Pollut Res 4:306–314

    Google Scholar 

  • Liu Z, Wang L, Zhu H (2015) A time-scaling property of air pollution indices: a case study of Shanghai. China Atmos Pollut Res 6(5):886–892

    Google Scholar 

  • Liu ZH, Zhang B, Wang L, Qin FC, Liu LJ (2010) Unsteadiness of COD in the upper and middle reaches of Minjiang river. Chin J Popul Resour Environ 8:65–68

    Google Scholar 

  • Lo AW (1989) Long-term memory in stock market prices. In: National bureau of economic research (working paper no. 2984), pp. 1–47

  • Lopez T, Martınez-Gonzalez C, Manjarrez J, Plascencia N, Balankin A (2009) Fractal analysis of eeg signals in the brain of epileptic rats, with and without biocompatible implanted neuroreservoirs. AMM 15:127–136

    Google Scholar 

  • Lorentzen T (2014) Statistical analysis of temperature data sampled at station-m in the Norwegian sea. J Mar Syst 130:31–45

    Google Scholar 

  • Lu W, Wang D (2009) Assessing the relative importance of surface ozone influential variables in regional-scale analysis. Atmos Environ 43(22):3621–3629

    Google Scholar 

  • Lu W, Xue Y, di He H (2014) Detrended fluctuation analysis of particle number concentrations on roadsides in Hong Kong. Build Environ 82:580–S587

    Google Scholar 

  • Maheswaran R, Khosa R (2015) Wavelet volterra coupled models for forecasting of nonlinear and non-stationary time series. Neurocomputing 149:1074–1084

    Google Scholar 

  • Mandelbrot BB, Ness JWV (1968) Fractional Brownian motions, fractional noises and applications. J Soc Ind Appl Math 10(4):422–437

    Google Scholar 

  • May RM (1976) Simple mathematical models with very complicated dynamics. Nature 261:459–467

    Google Scholar 

  • Mayzaud P, Chanut JP, Ackman RG (1989) Seasonal changes of the biochemical composition of marine particulate matter with special reference to fatty acids and sterols. Mar Ecol Prog Ser 56:189–204

    Google Scholar 

  • Montzka SA, Krol M, Dlugokencky E, Hall B, Jockel P, Lelieveld J (2011) Small interannual variability of global atmospheric hydroxyl. Science 331(6013):67

    Google Scholar 

  • Morales IO, Landa O, Fossion R, Frank A (2012) Scale invariance, self-similarity and critical behaviour in classical and quantum system. J Phys Conf Ser 380(012020)

  • Moustris KP, Ziomas IC, Paliatsos AG (2010) 3-day-ahead forecasting of regional pollution index for the pollutants NO2, CO, SO2 and O3 using artificial neural networks in Athens, Greece. Water Air Soil Pollut 224(1634):29–43

    Google Scholar 

  • Moustris KP, Nastos PT, Larisssi IK, Paliatsos AG (2012) Application of multiple linear regression models and artificial neural networks on the surface ozone forecast in the greater Athens area, Greece. Adv Meteorol 894714:1–8

    Google Scholar 

  • Moustris KP, Larisssi IK, Nastos PT, Koukouletsos KV, Paliatsos AG (2013) Development and application of artificial neural network modeling in forecasting pm10 levels in a mediterranean city. Water Air Soil Pollut 224(1634)

  • Moustris KP, Proias GT, Larisssi IK, Nastos PT, Koukouletsos KV, Paliatsos AG (2014) Air quality prognosis using artificial neural networks modeling in the urban environment of Volos, Central Greece. Fres Environ Bull 13(12):2967–2975

    Google Scholar 

  • Musa M, Ibrahim K (2012) Existence of long memory in ozone time series. Sains Malays 41(11):1367–1376

    Google Scholar 

  • Nastos PT, Philandras CM, Paliatsos AG (2002) Fourier analysis of the mean monthly nox concentrations in the Athens basin. Global Nest 4(2–3):145–152

    Google Scholar 

  • Nikolopoulos D, Petraki E, Marousaki A, Potirakis S, Koulouras G, Nomicos C, Panagiotaras D, Stonhamb J, Louizi A (2012) Environmental monitoring of radon in soil during a very seismically active period occurred in south west Greece. J Environ Monit 14:564–578

    Google Scholar 

  • Nikolopoulos D, Petraki E, Vogiannis E, Chaldeos Y, Yannakopoulos P, Kottou S, Nomicos C, Stonham J (2013) Traces of self-organisation and long-range memory in variations of environmental radon in soil: comparative results from monitoring in Lesvos Island and Ileia (greece). J Radioanal Nucl Chem (in press)

  • Nikolopoulos D, Petraki E, Vogiannis E, Chaldeos Y, Giannakopoulos P, Kottou S, Nomicos C, Stonham J (2014) Traces of self-organisation and long-range memory in variations of environmental radon in soil: Comparative results from monitoring in lesvos island and ileia (greece). J Radioanal Nucl Chem 299(1):203–219

    Google Scholar 

  • Nikolopoulos D, Petraki E, Nomicos C, Koulouras G, Kottou S, Yannakopoulos PH (2015) Long-memory trends in disturbances of radon in soil prior ml = 5.1 earthquakes of 17 November 2014 Greece. J Earth Sci Clim Change 6(244):1–11

    Google Scholar 

  • Nikolopoulos D, Cantzos D, Petraki E, Yannakopoulos PH, Nomicos C (2016a) Traces of long-memory in pre-seismic mhz electromagnetic time series-part 1: Investigation through the r/s analysis and time-evolving spectral fractals. J Earth Sci Clim Change 7(359)

  • Nikolopoulos D, Petraki E, Cantzos D, Yannakopoulos PH, Panagiotaras D, Nomicos C (2016b) Fractal analysis of pre-seismic electromagnetic and radon precursors: a systematic approach. J Earth Sci Clim Change 7(376):1–11

    Google Scholar 

  • Nikolopoulos D, Valais I, Michail C, Bakas A, Fountzoula C, Cantzos D, Bhattacharyya D, Sianoudis I, Fountos G, Yannakopoulos PH, Panayiotakis G, Kandarakis I (2016c) Radioluminescence properties of the cdse/zns quantum dot nanocrystals with analysis of long-memory trends. Radiat Meas 92:19–31

    Google Scholar 

  • Nikolopoulos D, Matsoukas C, Yannakopoulos PH, Petraki E, Cantzos D, Nomicos C (2018a) Long-memory and fractal trends in variations of environmental radon in soil: results from measurements in Lesvos Island in Greece. J Earth Sci Clim Change 9(460):1–11

    Google Scholar 

  • Nikolopoulos D, Yannakopoulos PH, Petraki E, Cantzos D, Nomicos C (2018b) Long-memory and fractal traces in khz-mhz electromagnetic time series prior to the ml = 6.1, 12/6/2007 Lesvos, Greece earthquake: investigation through DFA and time-evolving spectral fractals. J Earth Sci Clim Change 9(465):1–15

    Google Scholar 

  • Nikolopoulos D, Moustris K, Petraki E, Koulougliotis D, Cantzos D (2019) Fractal and long-memory traces in pm10 time series in Athens, Greece. Environments 6(3). https://www.mdpi.com/2076-3298/6/3/29

  • Olsson J (1996) Validity and applicability of a scale-independent, multifractal relationship for rainfall. Atmos Res 42:53–65

    Google Scholar 

  • Peng C, Mietus J, Havlin S, Stanley H, Goldberger A (1993) Long-range anti-correlations and non-gaussian behavior of the heartbeat. Phys Rev Lett 70:1343–1346

    Google Scholar 

  • Peng C, Buldyrev S, Simons M, Havlin S, Stanley H, Goldberger A (1994) On the mosaic organization of dna sequences. Phys Rev E 49:1685–1689

    Google Scholar 

  • Peng C, Havlin S, Stanley H, Goldberger A (1995) Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 5:82–87

    Google Scholar 

  • Peng C, Hausdor J, Havlin S, Mietus J, Stanley H, Goldberger A (1998) Multiple-time scales analysis of physiological time series under neural control. Physica A 249:491–500

    Google Scholar 

  • Perez IA, Sanchez ML, Garcia MA, Paredes V (2011) Persistence analysis of CO2 concentrations recorded at a rural site in the upper Spanish Plateau. Atmos Res 100:45–50

    Google Scholar 

  • Pérez P, Trier A, Reyes J (2000) Prediction of pm2.5 concentrations several hours in advance using neural networks in Santiago, Chile. Atmos Environ 34(8):1189–1196

    Google Scholar 

  • Petraki E (2016) Electromagnetic radiation and radon-222 gas emissions as precursors of seismic activity. PhD thesis, Department of Electronic and Computer Engineering, Brunel University London, UK

  • Petraki E, Nikolopoulos D, Fotopoulos A, Panagiotaras D, Koulouras G, Zisos A, Nomicos C, Louizi A, Stonham J (2013a) Self-organised critical features in soil radon and mhz electromagnetic disturbances: results from environmental monitoring in Greece. Appl Radiat Isotop 72:39–53

    Google Scholar 

  • Petraki E, Nikolopoulos D, Fotopoulos A, Panagiotaras D, Nomicos C, Yannakopoulos P, Kottou S, Zisos A, Louizi A, Stonham J (2013b) Long-range memory patterns in variations of environmental radon in soil. Anal Methods 5:4010–4020

    Google Scholar 

  • Petraki E, Nikolopoulos D, Nomicos C, Stonham J, Cantzos D et al (2015a) Electromagnetic pre-earthquake precursors: mechanisms, data and models—a review. J Earth Sci Clim Change 6(244):1–11

    Google Scholar 

  • Petraki E, Nikolopoulos D, Panagiotaras D, Cantzos D, Yannakopoulos P et al (2015b) Radon-222: a potential short-term earthquake precursor. J Earth Sci Clim Change 6(282):1–11

    Google Scholar 

  • Pino-Vallejo M, Tierra A, Haro A, Perugachi N (2003) Prediction of concentrations of $\text{ PM }_{2.5}$ in downtown quito using the chaos theory. AIP Conf Proc 02013:1–8

    Google Scholar 

  • Rehman S, Siddiqi A (2009) Wavelet based hurst exponent and fractal dimensional analysis of Saudi climatic dynamics. Chaos Solitons Fractals 39(4):1081–1090

    Google Scholar 

  • Saeed S, Aziz W, Rafique M, Ahmad I, Kearfott KJ, Batool S (2017) Quantification of non-linear dynamics and chaos of ambient particulate matter concentrations in Muzaffarabad city. Aerosol Air Qual Res 17(3):849–856

    Google Scholar 

  • Sarlis N, Skordas E, Varotsos P, Nagao T, Kamogawa M, Uyeda S (2013) Minimum of the order parameter fluctuations of seismicity before major earthquakes in Japan. Proc Natl Acad Sci USA 110:13734–13738

    Google Scholar 

  • Schauer C, Niessner R, Poschl U (2003) Polycyclic aromatic hydrocarbons in urban air particulate matter: decadal and seasonal trends, chemical degradation, and sampling artifacts. Environ Sci Technol 37(13):2861–2868

    Google Scholar 

  • Schlink U, Herbarth O, Richter M, Dorling S, Nunnari G, Cawley G, Pelikan E (2006) Statistical models to assess the health effects and to forecast ground-level ozone. Environ Model Softw 21:547–558

    Google Scholar 

  • Scott LS, Varian HR (2014) Predicting the present with bayesian structural time series. Int J Math Model Numer Optim 5:4–23

    Google Scholar 

  • Sefidmazgi G, Sayemuzzaman M, Homaifar M, Jha MK, Liess S (2014) Trend analysis using non-stationary time series clustering based on the finite element method. Nonlinear Process Geophys 21:605–615

    Google Scholar 

  • Shi K, Liu CQ (2009) Self-organized criticality of air pollution. Atmos Environ 43:3301–3304

    Google Scholar 

  • Shi K, Liu CQ, Ai NS (2009) Monofractal and multifractal approaches in investigating temporal variation of air pollution indexes. Fractals 17:513–521

    Google Scholar 

  • Shi K, Liu C, Huang Y (2015) Multifractal processes and self-organized criticality of pm2.5 during a typical haze period in Chengdu, China. Aerosol Air Qual Res 15:926–934

    Google Scholar 

  • Sivakumar B (2001) Is a chaotic multi-fractal approach for rainfall possible? Hydrol Process 15:943–955

    Google Scholar 

  • Skordas ES (2014) On the increase of the “non-uniform” scaling of the magnetic field variations before the m(w)9.0 earthquake in Japan in 2011. Chaos 24:023131

  • Smirnova N, Hayakawa M (2007) Fractal characteristics of the ground-observed Ulf emissions in relation to geomagnetic and seismic activities. J Atmos Sol Ter Phys 69:1833–1841

    Google Scholar 

  • Smirnova N, Hayakawa M, Gotoh K (2004) Precursory behavior of fractal characteristics of the ulf electromagnetic fields in seismic active zones before strong earthquakes. Phys Chem Earth 29:445–451

    Google Scholar 

  • Smirnova NA, Kiyashchenko DAT, N V, Hayakawa M (2013) Multifractal approach to study the earthquake precursory signatures using the ground-based observations. Rev Appl Phys 2:3

  • Stanley HE (1995) Powerlaws and universality. Nature 378:597–600

    Google Scholar 

  • Stratakos J, Sakellariou M (2006) An evaluation of methods for the estimation of the fractal dimension of rock surfaces. Tech Chron Sci J I:1–2

    Google Scholar 

  • Stratonovich RL (1981) Topics in the theory of random noise, vol I. Gordon and Breach, New York

    Google Scholar 

  • Sugihara G, May R (1990) Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344:734–741

    Google Scholar 

  • Telesca L, Lapenna V, Vallianatos F (2002) Monofractal and multifractal approaches in investigating scaling properties in temporal patterns of the 1983–2000 seismicity in the western corinth graben, greece. Phys Earth Planet Int 131:63–79

    Google Scholar 

  • Telesca L, Lapenna V, Macchiato M (2004) Mono- and multi-fractal investigation of scaling properties in temporal patterns of seismic sequences. Chaos Solit Fractals 19:1–15

    Google Scholar 

  • Vandewalle N, Ausloos M (1997) Coherent and random sequences in financial fluctuations. Physica A 246(3–4):454–459

    Google Scholar 

  • Varotsos C, Kirk-Davidoff D (2006) Long-memory processes in ozone and temperature variations at the region 600s-600n. Atmos Chem Phys 6:4093–4100

    Google Scholar 

  • Varotsos C, Ondov J, Efstathiou M (2005) Scaling properties of air pollution in Athens, Greece and Baltimore. Md Atmos Environ 39:4041–4047

    Google Scholar 

  • Varotsos CA, Ondov JM, Cracknell AP, Efstathiou MN, Assimakopoulos MN (2006) Long-range persistence in global aerosol index dynamics. Int J Remote Sens 27(16):3593–603

    Google Scholar 

  • Varotsos P, Sarlis N, Skordas E (2009) Natural time analysis of critical phenomena. Chaos 19(023114)

  • Varotsos P, Sarlis N, Skordas E (2011) Scale-specific order parameter fluctuations of seismicity in natural time before mainshocks. EPL 96(59002):1–6

    Google Scholar 

  • Varotsos P, Sarlis N, Skordas E (2017) Identifying the occurrence time of an impending major earthquake: a review. Earthq Sci 30(4):209–218

    Google Scholar 

  • Vlachogianni A, Kassomenos P (2007) One day ahead prediction of morning max CO concentration in Athens, Greece. In: Proceedings of the international conference on environmental management engineering, planning and economics, IV, pp 2411–2416

  • Wang Z, Lu F, di He H, Lu QC, Wang D, Peng ZR (2015) Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm. Atmos Environ 104:264–272

    Google Scholar 

  • Wawszczak J (2005) Methods for estimating the hurst exponent. the analysis of its value for fracture surface research. Mater Sci Poland 23(2):585–590

    Google Scholar 

  • Weng YC, Chang NB, Lee TY (2008) Nonlinear time series analysis of ground-level ozone dynamics in southern Taiwan. J Environ Manag 405–414

  • Windsor HL, Toumi R (2001) Scaling and persistence of UK pollution. Atmos Environ 35:4545–4556

    Google Scholar 

  • Xue Y, Pan W, Wz Lu, He HD (2015) Multifractal nature of particulate matters (pms) in Hong Kong urban air. Sci Total Environ 532:744–751

    Google Scholar 

  • Yu HL, Lin YC, Sivakumar B, Kuo Y (2015) A study of the temporal dynamics of ambient particulate matter using stochastic and chaotic techniques. Atmos Environ 69:37–45

    Google Scholar 

  • Yuval Broday D (2010) Studying the time scale dependence of environmental variables predictability using fractal analysis. Environ Sci Technol 44:4629–4634

    Google Scholar 

  • Zhu J, Liu Z (2003) Long-range persistence of acid deposition. Atmos Environ 37(26052):613

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dimitrios Nikolopoulos.

Additional information

Responsible Editor: S.-W. Kim.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nikolopoulos, D., Moustris, K., Petraki, E. et al. Long-memory traces in \(\hbox {PM}_{10}\) time series in Athens, Greece: investigation through DFA and R/S analysis. Meteorol Atmos Phys 133, 261–279 (2021). https://doi.org/10.1007/s00703-020-00744-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00703-020-00744-3

Navigation