Spectral analysis of vehicle pollutants at traffic intersection in Hong Kong

Stochastic Environmental Research and Risk Assessment

Volumn 26, Issue 8, 2012, Pages 1053-1061

  He, Hong Di ^a   Lu, Wei Zhen ^b  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Carbon monoxide; Particulate matter; Singular spectrum analysis; Traffic intersection

Indexed keywords

CARBON DIOXIDE; CARBON MONOXIDE; PARTICLES (PARTICULATE MATTER); POLLUTION; POWER SPECTRAL DENSITY; SPECTRAL DENSITY;

PARTICULATE MATTER; PERIODIC OSCILLATION; PERIODIC VARIATION; POLLUTANT CONCENTRATION; POWER SPECTRAL DENSITIES (PSD); PRINCIPAL COMPONENTS; SINGULAR SPECTRUM ANALYSIS; TRAFFIC INTERSECTIONS;

TRAFFIC SIGNALS;

ATMOSPHERIC POLLUTION; CARBON DIOXIDE; CARBON MONOXIDE; CHEMICAL POLLUTANT; CONCENTRATION (COMPOSITION); PARTICULATE MATTER; PRINCIPAL COMPONENT ANALYSIS; SPECTRAL ANALYSIS; TIME SERIES ANALYSIS; TRAFFIC EMISSION;

CHINA; HONG KONG;

EID: 84871493586     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-012-0560-6     Document Type: Article

References (22)

1. Allen MR, Smith LA (1994) Investigating the origins and significance of low-frequency modes of climate variability. Geophys Res Lett 21: 883-886.
2. Allen MR, Smith LA (1996) Monte Carlo SSA: detecting irregular oscillations in the presence of colored noise. J Clim 9(12): 3373-3404.
3. Bayraktar H, Turalioǧlu FS, Tuncel G (2010) Average mass concentrations of TSP, PM10 and PM2. 5 in Erzurum urban atmosphere, Turkey. Stoch Env Res Risk Assess 24: 57-65.
4. Cassidy BE, Alabanza-Akers MA, Akers TA, Hall DB, Ryan PB, Bayer CW, Naeher LP (2007) Particulate matter and carbon monoxide multiple regression models using environmental characteristics in a high diesel-use area of Baguio City, Philippines. Sci Total Environ 381: 47-58.
5. 10 mass concentration and meteorological conditions over China. Atmos Environ 42: 655-666.
6. Chu AKM, Kwok RCW, Yu KN (2005) Study of pollution dispersion in urban areas using computational fluid dynamics (CFD) and geographic information system (GIS). Environ Model Softw 20: 273-277.
7. Elsner JB, Tsonis AA (2001) Singular spectrum analysis: a new tool in time series analysis. Plenum Press, New York.
8. Ghil M, Allen MR, Dettinger MD, Ide K, Kondrashov D, Mann ME, Robertson AW, Saunders A, Tian Y, Varadi F, Yiou P (2002) Advanced spectral methods for climatic time series. Rev Geophys 40: 1003.
9. Gokhale S, Khare M (2007) Statistical behavior of carbon monoxide from vehicular exhausts in urban environments. Environ Model Softw 22: 526-535.
10. Gokhale S, Pandian S (2007) A semi-empirical box modelling approach for predicting the carbon monoxide concentrations at an urban traffic intersection. Atmos Environ 41: 7940-7950.
11. He HD, Lu WZ (2012) Urban aerosol particulates on Hong Kong roadsides: size distribution and concentration levels with time. Stoch Env Res Risk Assess 26: 177-187.
12. Hies T, Treffeisen R, Sebald L, Reimer E (2000) Spectral analysis of air pollutants. Part 1: elemental carbon time series. Atmos Environ 34: 3495-3502.
13. Kai S, Liu CQ, Ai NS, Zhang XH (2008) Using three methods to investigate time-scaling properties in air pollution indexes time series. Nonlinear Anal Real Word Appl 9: 693-707.
14. Kandlikar M (2007) Air pollution at a hotspot location in Delhi: detecting trends, seasonal cycles and oscillations. Atmos Environ 41: 5934-5947.
15. 2 and CO). Stoch Env Res Risk Assess 24: 751-760.
16. Larsen RI (1969) A new mathematical model for air pollutant concentration averaging time and frequency. J Air Poll Control Assoc 19: 24-30.
17. Lu WZ, Wang XK (2004) Interaction patterns of major air pollutants in Hong Kong territory. Sci Total Environ 324: 247-259.
18. Moron V, Vautard R, Ghil M (1998) Trends, interdecadal and interannual oscillations in global sea surface temperatures. Clim Dyn 14: 545-569.
19. Oettl D, Almbauer RA, Sturm PJ, Pretterhofer G (2003) Dispersion modelling of air pollution caused by road traffic using a Markov Chain-Monte Carlo model. Stoch Env Res Risk Assess 17: 58-75.
20. Oppenheim AV, Schafer RW, Buck JR (1999) Discrete-time signal processing. Prentice-Hall, Upper Saddle River.
21. Welch PD (1967) The use of fast Fourier transforms for the estimation of power spectra: a method based on time averaging over short modified periodograms. IEEE Trans Audio Electroacoust 15: 70-73.
22. Yang T, Chen X, Xu CY, Zhang ZC (2009) Spatio-temporal changes of hydrological processes and underlying driving forces in Guizhou region, Southwest China. Stoch Env Res Risk Assess 23: 1071-1087.