Study of the Behavior of Air Parcels, using PIXE, Hysplit and Wind Rose in the Metropolitan Zone of Toluca Valley, Mexico
Journal of Energy Research and Reviews,
Aim: The objective of this work was to determine the behavior of the trajectories of the air plots in two sites (San Mateo Atenco-(SM) and San Lorenzo Tepaltitlán-(SL)), in the atmosphere of the Metropolitan Zone of the Toluca Valley (MZTV).
Methodology: In the atmosphere of the MZTV, using HYSPLIT a Backward trajectory direction analysis was performed from June 29 to July 8, 2021, considering for each day the summertime schedules of the center, indicating its Coordinated Universal Time (UTC). An ANOVA analysis (with a significance level of α=0.05) was performed for the concentrations of SM and SL obtained with PIXE, with the objective of seeing the equality of their behavior.
Results: The behavior of the direction of the trajectories of the air plots in both sites is similar and the trajectories for the same day are the same in both sites but different on another day; It was determined that during night-day (19 to 12 h of the following day) the behavior is similar and changes during the remaining time, being variable. In general, the origin of the trajectories of the air plots for both sites of the MZTV is predominantly from the southeast, a situation that was confirmed with Wind Roses. Of the ANOVA analysis, the p-value was in all cases greater than the significance level of 0.05, the null hypothesis was accept, and it is possible to conclude that the elemental chemical composition of PM2.5 have equal means in both sites.
Conclusion: Among other, it is possible to consider the behavior of meteorological parameters and thus take them into account for sampling studies of criteria pollutants such as PM2.5.
- wind roses
How to Cite
Díaz-Godoy RV, López-Monroy J, Moreno-Alcántara J, Castellanos-Moguel J, Nuñez-Cardona MT, Sierra-Vargas MP, Aztatzi-Aguilar OG, Flores-Ortiz A. Spatial Evaluation of Health Risk due to Inhalation of PM2.5 Pollutants in the Metropolitan Areas of Toluca Valley and Mexico Valley. Journal of Energy Research and Reviews. 2021; 8(3), 1-16. Avaialable:https://doi.org/10.9734/jenrr/2021/v8i330210
Ortínez-Álvarez A, Ruiz-Suárez LG. Ortega E, García-Reynoso A, Peralta O, López-Gaona A, Castro T, Martínez-Arroyo A. Emission inventory point source source visualization on Google Earth and integrated with HYSPLIT model. Atmósfera. 2021; 34(2), 143-156. Avaialble:https://doi.org/10.20937/ATM.52834
Lee D, Choi JY, Myoung J, Kim O, Park J, Shin HJ, Ban SJ, Park HJ, Nam KP. Analysis of a Severe PM2.5 Episode in the Seoul Metropolitan Area in South Korea from 27 February to 7 March 2019: Focused on Estimation of Domestic and Foreign Contribution. Atmosphere. 2019;10(12):756.
Molina M, Mena C, Meviavilla-Sahagún A, Gómez-Sánchez MD, Barrera-Huertas HA, García-Escalante J, Hernández-Valdez N, CONACYT et al. (2019). Analysis of PM2.5 pollution in the city of Monterrey, Nuevo León, focused on the identification of strategic control measures, Centro Mario Molina para estudios estratégicos sobre energía y medio ambiente A. C; 2019. [online]. Available:http://aire.nl.gob.mx/docs/reportes/An%C3%A1lisis_de_la_Contaminaci%C3%B3n_PM2_5_Monterrey.pdf 02/08/2021
Yang W, Wang G, Bi C. Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China. Aerosol Air Qual. Res. 2017; 17(6): 1610-1622. Avaialble:https://doi.org/10.4209/aaqr.2016.06.0220.
Ramírez-Hernández O. J. Origin of air masses in four cities of Colombia using the HYSPLIT model. RIAA. 2014;5(1): 103-119.
Connan O, Smith K, Organo C, Solier L, Maro D, Hébert D. Comparison of RIMPUFF, HYSPLIT, ADMS atmospheric dispersion model outputs, using emergency response procedures, with 85Kr measurements made in the vicinity of nuclear reprocessing plant. J. Environ. Radioact. 2013; 124, 266-277.
Bowyer TW, Kephart R, Eslinger PW, Friese JI, Miley HS, Saey PRJ. Maximum reasonable radioxenon releases from medical isotope production facilities and their effect on monitoring nuclear explosions. J. Environ. Radioact. 2013;115:192-200. Available:https://doi.org/10.1016/j.jenvrad.2012.07.018.
Jeong H, Park M, Jeong H, Hwang W, Kim E, Han M. Radiological risk assessment caused by RDD terrorism in an urban area. Appl. Radiat. Isot. 2013;79:1-4. Available:https://doi.org/10.1016/j.apradiso.2013.04.018
Rolph GD, Draxler RR, Stein AF, Taylor A, Ruminski MG, Kondragunta S, Zeng J, Huang H, Manikin G, McQueen JT, Davidson PM. Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season. Weather and Forecasting. 2009;24(2):361-378.
Escudero MA, Stein A, Draxler RR, Querol X, Alastuey A, Castillo S, Avila A. Determination of the contribution of northern Africa dust source areas to PM10 concentrations over the central Iberian Peninsula using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) model. J. Geophys. Res. 2006; 111 (D6210).
Gaiero DM, Simonella L, Gassó S, Gili AF, Stein P, Sosa R, Becchio R, Arce J, Marelli H. Ground/satellite observations and atmospheric modeling of dust storms originated in the high Puna-Altiplano deserts (South America): Implications for the interpretation of paleo-climatic archives. J. Geophys. Res. 2013; 118 (9): 3817-3831.
Chen B, Stein AF, Castell N, de la Rosa JD, Sánchez de la Campa AM. González-Castanedo Y. and Draxler R. R. Modeling and surface observations of arsenic dispersion from a large Cu-smelter in southwestern Europe. Atmos. Environ. 2012;49:114-122, Avaialble:https://doi.org/10.1016/j.atmosenv.2011.12.014
Efstathiou C, Isukapalli S, Georgopoulos P. A mechanistic modeling system for estimating large-scale emissions and transport of pollen and co-allergens. Atmos. Environ. 2011;45(13):2260- 2276.
Stunder BJB. An Assessment of the Quality of Forecast Trajectories. J. Appl. Meteor. 1996;35(8):1319-1331.
Machta L. Finding the site of the first Soviet nuclear test in 1949. Bull. Amer. Meteor. Soc. 1992;73(11):1797-1806.
Angell JK, Pack DH, Holzworth GC, Dickson CR. Tetroon Trajectories in an Urban Atmosphere. Journal of Applied Meteorology and Climatology. 1966;5(5): 565-572. Avaialble:https://doi.org/10.1175/1520-0450(1966)005<0565:TTIAUA>2.0.CO;2
Angell JK, Pack DH, Machta L, Dickson CR, Hoecker WH. Three-Dimensional Air Trajectories Determined from Tetroon Flights in the Planetary Boundary Layer of the Los Angeles Basin. Journal of Applied Meteorology and Climatology. 1972;11(3):451-471. Avaialble:https://doi.org/10.1175/1520-0450(1972)011<0451:TDATDF>2.0.CO;2
Angell JK, Dickson CR, Hoecker Jr WH, Tetroon Trajectories in the Los Angeles Basin Defining the Source of Air Reaching the San Bernardino-Riverside Area in Late Afternoon. Journal of Applied Meteorology and Climatology. 1976;15(3):197-204.
Stein AF, Draxler RR, Rolph GD, Stunder BJB, Cohen MD, Ngan F. NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling System. BAMS. 2015;96 (12):2059-2077.
Draxler RR, Hess GD. An overview of the HYSPLIT_4 modeling system for trajectories, dispersion, and deposition. Aust. Meteor. Mag. 1998;47(4):295-308. ISSN: 0004-9743.
Fay B, Glaab H, Jacobsen I, Schrodin R. Evaluation of Eulerian and Lagrangian atmospheric transport models at the Deutscher Wetterdienst using anatex surface tracer data. Atmos. Environ. 1995; 29 (18):2485-2497.
INEGIa. Socio-demographic Panorama of Mexico, Population and Housing Census 2020, National Institute of Statistics and Geography; 2020. [online].
INEGIb. Population and Housing Census 2020, Main results by locality (ITER), National Institute of Statistics and Geography; 2020. [online].
Ipomex. Risk Atlas 2014, H. Ayuntamiento de Toluca. 2015. [online].
Ipomex. Risk Atlas. H. Ayuntamiento de San Mateo Atenco; 2018. [online].
NOAA. HYSPLIT. Air Resources Laboratory; 2021 [online].
Lakes Software. WRPLOT viewTM, Wind Rose Plots Metereological Data. 2021; version 8.0.2-20.6.
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