Seasonal characterization of tropospheric ozone fluctuation in Mexico City
DOI:
https://doi.org/10.31349/RevMexFis.69.021402Keywords:
structure function, Ozone, air pollution in Mexico City, Hurst exponent, monitoring stations, persistenceAbstract
The air pollution due to tropospheric ozone (O3) is one of the most serious problems of large industrialized cities in the world. The excessive increase in O3 has a negative impact on the population health. Consequently, researchers have focused their efforts establishing measures to characterize the statistical analysis of spatio-temporal data. This work shows a study based on seasonal analysis of spatio-temporal data through second order structure function to and the scale behavior in power law by using the Hurst exponent (H) and analyzing the trend of fluctuations associated with O3 pollution concentration records at four monitoring stations in the Metropolitan Area of Mexico City (MAMC) considering the four season of the year. The records were consulted from the database of the Automatic Atmospheric Monitoring Network (AAMN) in Mexico City from 2010 to 2018. The results show the differences in behavior of ozone according to the seasons of the year in this megacity. The behavior of statistical persistence predominates in spring, with 63.89% of occurrence over the total of the samples analyzed. In winter, the observed regime is antipersistent, with 80.56%. The three regimes: persistence, randomness and antipersistence were observed in summer and autumn, with a similar proportion of occurrence of 33% ± 3%. Given the above, the climatological characteristics of each season could be associated with the regimes of persistent, random and antipersistent behavior of the fluctuation of the concentration of the pollutant O3
References
K. Y. Kondratyev and C. A. Varotsos, Global total ozone dynamics, Environmental Science and Pollution Research 3 (1996) 153
W. Lei, et al., Characterizing ozone production in the Mexico City Metropolitan Area: a case study using a chemical transport model, Atmos. Chem. Phys. 7 (2007) 1347
J. Samet and D. Krewski, Health effects associated with exposure to ambient air pollution, Journal of toxicology and environmental health, Part A 70 (2007) 227
L. Curtis et al., Adverse health effects of outdoor air pollutants, Environment international 32 (2006) 815
K. R. Smith, Biofuels, air pollution, and health: a global review (Springer Science & Business Media, 2013)
H. Zhao et al., Investigation of ground-level ozone and highpollution episodes in a megacity of Eastern China, PloS one 10 (2015) e0131878
N. R. Awang et al., Diurnal variations of ground-level ozone in three port cities in Malaysia, Air Quality, Atmosphere & Health 9 (2016) 25
A. Gorai et al., Influence of local meteorology and NO2 conditions on ground-level ozone concentrations in the eastern part of Texas, USA, Air Quality, Atmosphere & Health 8 (2015) 81
K. Binaku and M. Schmeling, Multivariate statistical analyses of air pollutants and meteorology in Chicago during summers 2010-2012, Air Quality, Atmosphere & Health 10 (2017) 1227
S. Z. Azmi et al., Trend and status of air quality at three different monitoring stations in the Klang Valley, Malaysia, Air Quality, Atmosphere & Health 3 (2010) 53
N. R. Awang et al., The influence of spatial variability of critical conversion point (CCP) in production of ground level ozone in the context of tropical climate, Aerosol Air Qual Res. 16 (2016) 153
N. Bauri et al., Evaluation of seasonal variations in abundance of BTXE hydrocarbons and their ozone forming potential in ambient urban atmosphere of Dehradun (India), Air Quality, Atmosphere & Health 9 (2016) 95
J. M. Baldasano and J. Massague, Trends and patterns of air quality in Santa Cruz de Tenerife (Canary Islands) in the period 2011-2015, Air Quality, Atmosphere & Health 10 (2017) 939
D. Tarasick et al., Quantifying stratosphere-troposphere transport of ozone using balloon-borne ozonesondes, radar windprofilers and trajectory models, Atmospheric Environment 198 (2019) 496
R. S. Williams et al., Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes, Atmos. Chem. Phys. 19 (2019) 3589
S. B. Shams et al., Variations in the vertical profile of ozone at four high-latitude Arctic sites from 2005 to 2017, Atmos. Chem. Phys. 19 (2019) 9733
T. Cieplak, T. Rymarczyk, and R. Tomaszewski, A concept of the air quality monitoring system in the city of Lublin with machine learning methods to detect data outliers (2019) https://doi.org/10.1051/matecconf/201925203009
A. B. Chelani, Statistical persistence analysis of hourly ground level ozone concentrations in Delhi, Atmospheric Research 92 (2009) 244
A. Gaur et al., Four-year measurements of trace gases (SO2, NOx, CO, and O3) at an urban location, Kanpur, in Northern India, J. Atmospheric Chemistry 71 (2014) 283
M. Meraz et al., Statistical persistence of air pollutants (O3, SO2, NO2 and PM10) in Mexico City, Physica A: Statistical Mechanics and its Applications 427 (2015) 202
Z. Chen, C. P. Barros, and L. A. Gil-Alana, The persistence of air pollution in four mega-cities of China, Habitat International 56 (2016) 103
L. Tohid et al., Spatiotemporal variation, ozone formation potential and health risk assessment of ambient air VOCs in an industrialized city in Iran, Atmospheric Pollution Research 10 (2019) 556
H. Guo et al., Simulation of summer ozone and its sensitivity to emission changes in China, Atmospheric Pollution Research 10 (2019) 1543
A. M. Diosdado, et al., Multifractal analysis of air pollutants time series, Rev. Mex. Fis. 59 (2013) 7
C.-H. Shen, Y. Huang, and Y.-N. Yan, An analysis of multifractal characteristics of API time series in Nanjing, China, Physica A: Statistical Mechanics and its Applications 451 (2016) 171
H.-d. He, Multifractal analysis of interactive patterns between meteorological factors and pollutants in urban and rural areas, Atmospheric Environment 149 (2017) 47
Q. Dong, Y. Wang, and P. Li, Multifractal behavior of an air pollutant time series and the relevance to the predictability, Environmental pollution 222 (2017) 444
Q. Wang, Multifractal characterization of air polluted time series in China, Physica A: Statistical Mechanics and its Applications 514 (2019) 167
C. Xi et al., A comparative study of two-dimensional multifractal detrended fluctuation analysis and two-dimensional multifractal detrended moving average algorithm to estimate the multifractal spectrum, Physica A: Statistical Mechanics and its Applications 454 (2016) 34
H. L. Windsor and R. Toumi, Scaling and persistence of UK pollution, Atmospheric Environment 35 (2001) 4545
C. A. Varotsos, J. M. Ondov, and M. Efstathiou, Scaling properties of air pollution in Athens, Greece and Baltimore, Maryland, Atmospheric Environment 39 (2005) 4041
M. B. Musa and A. A. Jemain, Persistency of ozone concentrations in urban and suburban area of Peninsular Malaysia (2017). https://doi.org/10.1063/1.4983870
A. Manju et al., Spatio-seasonal variation in ambient air pollutants and influence of meteorological factors in Coimbatore, Southern India, Air Quality, Atmosphere & Health 11 (2018) 1179, https://doi.org/10.1007/s11869-018-0617-x
M. L. Mansfield and C. F. Hall, Statistical analysis of winter ozone events, Air Quality, Atmosphere & Health 6 (2013) 687, https://doi.org/10.1007/s11869-013-0204-0
A. Mukherjee, S. B. Agrawal, and M. Agrawal, Intra-urban variability of ozone in a tropical city-characterization of local and regional sources and major influencing factors, Air Quality, Atmosphere & Health 11 (2018) 965, https://doi.org/10.1007/s11869-018-0600-6
A. S. Balankin, Dynamic scaling approach to study time series fluctuations, Phys. Rev. E 76 (2007) 056120
Y.-H. Shao et al., Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time series, Scientific reports 2 (2012) 835
K. Hu et al., Effect of trends on detrended fluctuation analysis, Phys. Rev. E. 64 (2001) 011114. 39. U. Frisch, Turbulence: The Legacy of A. N. Kolmogorov (Cambridge University Press, 1996)
P. Meakin, The growth of rough surfaces and interfaces, Physics Reports 235 (1993) 189
A.-L. Barabasi and T. Vicsek, Multifractality of self-affine frac- ´ tals, Physical Review A 44 (1991) 2730
M. Rak, Fractals, Scaling and Growth Far from Equilibrium (Universitetet i Oslo, 1999)
H.-O. Peitgen, H. JA˜ 1 4 rgens, and D. Saupe, Chaos and fractalsnew frontiers of science (Springer-Verlag New York, 2004)
B. B. Mandelbrot and I. Stewart, Fractals and scaling in finance, Nature 391 (1998) 758
WHO, Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide: global update 2005: summary of risk assessment (2006), https://apps.who.int/iris/handle/10665/107823
SSA, Valor limite permisible para la concentracion de ozono (O3) en el aire ambiente y criterios para su evaluacion (2014), https://www.dof.gob.mx/nota detalle.php?codigo=5356801&fecha=19/08/2014
I. Jhun et al., The impact of nitrogen oxides concentration decreases on ozone trends in the USA, Air Quality, Atmosphere & Health 8 (2015) 283
A. Monteiro et al., Investigating ozone episodes in Portugal: a wavelet-based approach, Air Qual Atmos Health 9 (2016) 775
A. Sharma et al., Influence of ozone precursors and particulate matter on the variation of surface ozone at an urban site of Delhi, India, Sustainable Environment Research 26 (2016) 76
A. Kumar et al., Dynamic interaction of trace gases (VOCs, ozone, and NOx) in the rural atmosphere of sub-tropical India, Air Quality, Atmosphere & Health 10 (2017) 885
M. A. Iqbal et al., Comparison of ozone pollution levels at various sites in Seoul, a megacity in Northeast Asia, Atmospheric Research 138 (2014) 330
E. Kovač-Andrić, J. Brana, and V. Gvozdić, Impact of meteorological factors on ozone concentrations modelled by time series analysis and multivariate statistical methods, Ecological Informatics 4 (2009) 117, https://doi.org/10.1016/j.ecoinf.2009.01.002
C.-Z. Yao, J.-N. Lin, and X.-Z. Zheng, Coupling detrended fluctuation analysis for multiple warehouse-out behavioral sequences, Physica
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