ARIMA analysis of the effect of land surface coverage on PM10 concentrations in a high-altitude megacity

Atmospheric Pollution Research

Volumn 8, Issue 4, 2017, Pages 660-668

  Zafra, Carlos ^a   Ángel, Yenifer ^a   Torres, Eliana ^a  

^a UNIVERSIDAD DISTRITAL FRANCISCO JOSÉ DE CALDAS   (Colombia)

Author keywords

ARIMA; Bogota; Land surface coverage; PM10; Urban air quality

Indexed keywords

EID: 85009502186     PISSN: 13091042     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apr.2017.01.002     Document Type: Article

References (59)

1. Argiriou, A.A., Use of neural networks for tropospheric ozone time series approximation and forecasting-A review. Atmos. Chem. Phys. Discuss. 7 (2007), 5739–5767.
2. Athanasiadis, I.N., Karatzas, K., Mitkas, P., Contemporary air quality forecasting methods: a comparative analysis between classification algorithms and statistical methods. Fifth International Conference on Urban Air Quality Measurement, Modelling and Management, March 29-31, 2005, Valencia, Spain, 2005, 1–12.
3. 10 emission from agricultural soils. Aeolian Res. 22 (2016), 73–83.
4. Bach, P.M., Staalesen, S., McCarthy, D.T., Deletic, A., Revisiting land use classification and spatial aggregation for modelling integrated urban water systems. Landsc. Urban Plann 143 (2015), 43–55.
5. 1 emissions from the heterogeneous traffic near an urban roadway. Atmos. Pollut. Res. 1 (2010), 184–194.
6. Box, G.E.P., Jenkins, G.M., Time Series Analysis, Forecasting and Control. first ed., 1970, Holden-Day, San Francisco.
7. 2.5 Emission Potential from Soil Using the UC Davis Resuspension Test Chamber. Geomorphology 59 (2004), 75–80.
8. Chambers, S.D., Wang, F., Williams, A.G., Xiaodong, D., Zhang, H., Lonati, G., Crawford, J., Griffiths, A.D., Ianniello, A., Allegrini, I., Quantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitor. Atmos. Environ. 107 (2015), 233–243.
9. 10): a street scale investigation in Wuhan, China. Urban For. Urban Gree 14 (2015), 354–360.
10. Chow, J.C., Watson, J.G., Mauderly, J.L., Costa, D.L., Wyzga, R.E., Vedal, S., Hidy, G.M., Altshuler, S.L., Marrack, D., Heuss, J.M., Wolff, G.T., Pope, C.A., Dockery, D.W., Health effects of fine particulate air pollution: lines that connect. Japca J. Air Waste Ma 56 (2006), 1368–1380.
11. 2.5 concentrations using hourly air monitoring data. Japca J. Air Waste Ma 55 (2005), 559–573.
12. Díaz-Robles, L.A., Ortega, J.C., Fu, J.S., Reed, G.D., Chow, J.C., Watson, J.G., Moncada-Herrera, J.A., A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: the case of Temuco, Chile. Atmos. Environ. 42 (2008), 8331–8340.
13. Fowler, D., Skiba, U., Nemitz, E., Choubedar, F., Branford, D., Donovan, R., Rowland, P., Measuring aerosol and heavy metal deposition on urban woodland and grass using inventories of 210PB and metal concentrations in soil. Water Air Soil Pollut. Focus 4 (2004), 483–499.
14. Funk, R., Reuter, H.I., Hoffmann, C., Engel, W., Öttl, D., Effect of moisture on fine dust emission from tillage operations on agricultural soils. Earth Surf. Process. Landf. 33 (2008), 1851–1863.
15. Gallagher, M.W., Nemitz, E., Dorsey, J.R., Fowler, D., Sutton, M.A., Flynn, M., Duyzer, J., Measurements and parameterizations of small aerosol deposition velocities to grassland, arable crops, and forest: influence of surface roughness length on deposition. J. Geophys. Res. D. Atmos., 107(D12, 10), 2002, 10.1029/2001JD000817 issn:0148–0227.
16. Gifford, F.A., Turbulent diffusion typing schemes: a review. Nucl. Saf. 17 (1976), 68–86.
17. Gocheva-Ilieva, S.G., Ivanov, A.V., Voynikova, D.S., Boyadzhiev, D.T., Time series analysis and forecasting for air pollution in small urban area: an SARIMA and factor analysis approach. Stoch. Environ. Res. Risk Assess. 28 (2014), 1045–1060.
18. 10 and particle number concentration during the AUPHEP – project. Atmos. Environ. 38 (2004), 3917–3934.
19. Hernández, E., Martín, F., Valero, F., Statistical forecast models for daily air particulate iron and lead concentrations for Madrid. Spain. Atmos. Environ. Part B Urban Atmos. 26 (1992), 107–116.
20. Hsu, H., Adamkiewicz, G., Houseman, E.A., Spengler, J.D., Levy, J.I., Using mobile monitoring to characterize roadway and aircraft contributions to ultrafine particle concentrations near a mid-sized airport. Atmos. Environ. 89 (2014), 688–695.
21. Irga, P.J., Burchett, M.D., Torpy, F.R., Does urban forestry have a quantitative effect on ambient air quality in an urban environment?. Atmos. Environ. 120 (2015), 173–181.
22. Islam, M.N., Rahmanb, K.S., Bahar, M.M., Habib, M.A., Andoa, K., Hattoria, N., Pollution attenuation by roadside greenbelt in and around urban areas. Urban For. Urban Gree 11 (2012), 460–464.
23. Jian, L., Zhao, Y., Zhu, Y., Zhang, M., Bertolatti, D., An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China. Sci. Total Environ. 426 (2012), 336–345.
24. Kumar, U., De Ridder, K., GARCH modelling in association with FFT-ARIMA to forecast ozone episodes. Atmos. Environ. 44 (2010), 4252–4265.
25. 2 and CO). Stoch. Environ. Res. Risk Assess. 24 (2010), 751–760.
26. 10 episode in Seoul. Korea for the period October 16-20, 2008 Atmos. Environ. 77 (2013), 430–439.
27. Liu, J., Mo, L., Zhu, L., Yang, Y., Liu, J., Qiu, D., Zhang, Z., Liu, J., Removal efficiency of particulate matters at different underlying surfaces in Beijing. Environ. Sci. Pollut. Res. 23 (2016), 408–417.
28. 10 concentrations at Ta-Liao with Box-Jenkins time series models and multivariate analysis. Atmos. Environ. 43 (2009), 2104–2113.
29. Ljung, G.M., Box, G.E.P., On a measure of a lack of fit in time series models. Biometrika 65 (1978), 297–303.
30. 10) in Mexico City. Phys. A Stat. Mech. Appl. 427 (2015), 202–217.
31. 10 in two UK conurbations. Atmos. Environ. 41 (2007), 8455–8467.
32. Minguillon, M.C., Querol, X., Baltensperger, U., Prevot, A.S.H., Fine and coarse PM composition and sources in rural and urban sites in Switzerland: local or regional pollution?. Sci. Total Environ. 427 (2012), 191–202.
33. Montoya, G.J., Cepeda, W., Eslava, J.A., Características de la turbulencia y de la estabilidad atmosférica en Bogotá. Rev. Acad. Colomb. Cienc. 28 (2004), 327–335.
34. Nelson, G., Maisonet, M., Miyashiro, M., An Assessment of Health Effects of Ambient Air Pollution in Latin America and the Caribbean. first ed., 2005, Pan Americana Health Organization, Washington D.C.
35. Pasquill, F., The estimation of the dispersion of windborne material. Meteorol. Mag. 90 (1961), 33–49.
36. Perrino, C., Catrambone, M., Pietrodangelo, A., Influence of atmospheric stability on the mass concentration and chemical composition of atmospheric particles: a case study in Rome, Italy. Environ. Int. 34 (2008), 621–628.
37. Pope, C.A., Dockery, D.W., Health effects of fine particulate air pollution: lines that connect. Japca J. Air Waste Ma 56 (2006), 709–742.
38. 10 concentrations by a seasonal long-memory model with volatility. Environ. Model. Softw. 51 (2014), 286–295.
39. Sarmiento, R., Hernández, L.J., Medina, E.K., Rodríguez, N., Reyes, J., Respiratory symptoms associated with air pollution in five localities of Bogotá, 2008-2011, a dynamic cohort study. Biomedica 35 (2015), 167–176.
40. Schwarz, G., Estimating the dimension of a model. Ann. Stat. 6 (1978), 461–464.
41. Seinfeld, J., Pandis, S., Atmospheric Chemistry and Physics: from Air Pollution to Climate Change. third ed., 2016, John Wiley & Sons, New Jersey.
42. Soni, K., Kapoor, S., Parmar, K.S., Kaskaoutis, D.G., Statistical analysis of aerosols over the Gangetic-Himalayan region using ARIMA model based on long-term MODIS observations. Atmos. Res. 149 (2014), 174–192.
43. Soto, D.F.P., Mejía, C.A.Z., Miranda, J.P.R., Evaluation of the air quality by using a mobile laboratory: Puente Aranda (Bogotá D.C., Colombia). Rev. Fac. Ing. 71 (2014), 153–166.
44. Sun, L., Wei, J., Duan, D.H., Guo, Y.M., Yang, D.X., Jia, C., Mi, X.T., Impact of Land-Use and Land-Cover Change on urban air quality in representative cities of China. J. Atmos. Sol–Terr. Phys. 142 (2016), 43–54.
45. Taneja, K., Ahmad, S., Ahmad, K., Attri, S., Time series analysis of aerosol optical depth over New Delhi using Box–Jenkins ARIMA modeling approach. Atmos. Pollut. Res. 7 (2016), 585–596.
46. 10-1) sources of particulate matter in an urban environment. Atmos. Environ. 89 (2014), 593–602.
47. 2 concentrations in the Campo de Gibraltar Region, Spain: a multiple comparison strategy. Environ. Monit. Assess. 143 (2008), 131–146.
48. Turner, D.B., A diffusion model for an urban area. J. Appl. Meteorol. 3 (1964), 83–91.
49. U.S.EPA (Environmental Protection Agency), Compendium of Methods for the Determination of Inorganic Compounds in Ambient Air. U.S.EPA/625/R-96/010a, Washington D.C. 1999, 723.
50. 10 concentration and elemental composition in relation to atmospheric dispersion in the urban area of Milan (Italy). Atmos. Environ. 41 (2007), 2136–2144.
51. 10 in a north-western Europe regional urban background site (Lens, France) using positive matrix factorization and including primary biogenic emissions. Atmos. Chem. Phys. 14 (2014), 3325–3346.
52. 2 daily concentrations. Sci. Total Environ. 505 (2015), 1202–1212.
53. Wolf-Benning, U., Draheim, T., Endlicher, W., Spatial and temporal differences of particulate matter in Berlin. Int. J. Environ. Waste Manag. 4 (2009), 3–16.
54. Yin, S., Cai, J.P., Chen, L.P., Shen, Z.M., Zou, X.D., Wu, D., Wang, W.H., Effects of vegetation status in urban green spaces on particle removal in a street canyon atmosphere. Acta Ecol. Sin. 27 (2007), 4590–4595.
55. 10 forecasting based on the artificial neural network model and intake fraction in an urban area: a case study in Taiyuan City, China. J. Air Waste Manag. Assoc. 63 (2013), 755–763.
56. Zhang, Y., Bocquet, M., Mallet, V., Seigneur, C., Baklanov, A., Real-time air quality forecasting, part I: history, techniques, and current status. Atmos. Environ. 60 (2012), 632–655.
57. 2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network. Sci. Total Environ. 496 (2014), 264–274.
58. 10 concentrations at far distance from elevated point sources in complex terrain: worst-case episode study. J. Environ. Manag. 80 (2006), 295–302.
59. Zou, B., Xu, S., Sternberg, T., Fang, X., Effect of land use and cover change on air quality in urban sprawl. Sustain. Switz., 8, 2016, 10.3390/su8070677.