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Risk assessment of traffic-related air pollution in a world heritage city

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Abstract

To support environmental risk management in a world heritage city, this paper presents high spatial-resolution maps of air pollutants for the Macao Peninsula. In particular, the risk of exposure to traffic-related nitrogen dioxide pollution for the 22 world heritage monuments in the Historic Center of Macao was assessed. The air-pollution mapping was performed by a building-based air quality model system, in which the traffic-related air pollutions at 5,965 receptor points in the Macao Peninsula were modeled and the average spatial resolution was 727 receptors/km2. The results indicate that under the conditions of the evening peak hour and the north wind direction sector 0–20°, air quality in the Macao Peninsula is the worst. About 14.1% of the modeled nitrogen dioxide concentrations at the 5,965 receptor points exceed the national ambient air quality standard for scenic spot of 120 μg/m3 in China. Two world heritage monuments, i.e., the “Leal Senado” Building and the Cathedral, are exposed to excessively high nitrogen dioxide concentrations of 135.9 and 121.1 μg/m3, respectively. The results in this paper could help decision makers to develop effective strategies to protect the world cultural heritages in Macao for future human generations to appreciate and enjoy.

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References

  • Berkowicz R (2000) OSPM: a parameterised street pollution model. Environ Monitor Assess 65(1/2):323–331

    Article  CAS  Google Scholar 

  • Berkowicz R, Ketzel M, Jensen SS, Hvidberg M, Raaschou-Nielsen O (2008) Evaluation and application of OSPM for traffic pollution assessment for a large number of street locations. Environ Model Softw 23:296–303

    Google Scholar 

  • Carruthers DJ, Edmunds HA, Lester AE, McHugh CA, Singles RA (2000) Use and validation of ADMS-Urban in contrasting urban and industrial environments. Int J Environ Pollut 14:1–6

    Google Scholar 

  • De la Fuente D, Vega JM, Viejo F, Díaz I, Morcillo M (2011) City scale assessment model for air pollution effects on the cultural heritage. Atmos Environ 45:1242–1250

    Article  Google Scholar 

  • DSEC (2011) Statistics and Census Service, Macao SAR Government. Retrieved 19 August 2011

  • Elbir T (2004) A GIS based decision support system for estimation, visualization and analysis of air pollution for large Turkish cities. Atmos Environ 38:4509–4517

    Article  CAS  Google Scholar 

  • Elbir T, Mangir N, Kara M, Simsir S, Eren T, Ozdemir S (2010) Development of a GIS-based decision support system for urban air quality management in the city of Istanbul. Atmos Environ 44:441–454

    Article  CAS  Google Scholar 

  • Guerrero PJ, Jorba O, Baldasano JM, Gasso S (2008) The use of a modeling system as a tool for air quality management: annual high-resolution simulations and evaluation. Sci Total Environ 390:323–340

    Article  Google Scholar 

  • Gulliver J, Briggs D (2011) STEMS-Air: a simple GIS-based air pollution dispersion model for city-wide exposure assessment. Sci Total Environ 409:2419–2429

    Article  CAS  Google Scholar 

  • Jensen SS (1998) Mapping human exposure to traffic air pollution using GIS. J Hazard Mater 61(1–3):385–392

    Article  CAS  Google Scholar 

  • Jensen SS, Berkowicz R, Hansen HS, Hertel O (2001) A Danish decision-support GIS tool for management of urban air quality and human exposures. Transport Res Part D-Trans Environ 6:229–241

    Article  Google Scholar 

  • Jensen SS, Larson T, Deepti KC, Kaufman JD (2009) Modeling traffic air pollution in street canyons in New York City for intra-urban exposure assessment in the US multi-ethnic study of atherosclerosis and air pollution. Atmos Environ 43:4544–4556

    Article  CAS  Google Scholar 

  • Jerrett M, Arain A, Kanaroglou P, Beckerman B, Potoglou D, Sahsuvaroglu T, Morrison J, Giovis C (2005) A review and evaluation of intraurban air pollution exposure models. J Exposure Anal Environ Epidemiol 15(2):185–204

    Article  CAS  Google Scholar 

  • Kesarkar AP, Dalvi M, Kaginalkar A, Ojha A (2007) Coupling of the weather research and forecasting model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India. Atmos Environ 41(9):1976–1988

    Article  CAS  Google Scholar 

  • Lahr J, Kooistra L (2010) Environmental risk mapping of pollutants: state of the art and communication aspects. Sci Total Environ 408:3899–3907

    Article  CAS  Google Scholar 

  • Malakootian M, Yaghmaeian K (2004) Investigation of carbon monoxide in heavy traffic intersections of municipal districts. Int J Environ Sci Tech 1:227–231

    CAS  Google Scholar 

  • McHugh CA, Carruthers DJ, Edmunds HA (1997) ADMS and ADMS-Urban. Int J Environ Pollut 8:438–440

    CAS  Google Scholar 

  • Sheng N, Tang UW (2011a) Spatial analysis of urban form and pedestrian exposure to traffic noise. Int J Environ Res Public Health 8:1977–1990

    Article  Google Scholar 

  • Sheng N, Tang UW (2011b) A building-based data capture and data mining technique for air quality assessment. Front Environ Sci Eng China 5:543–551

    Article  Google Scholar 

  • Simkhada K, Murthy VK, Khanal SN (2005) Assessment of ambient air quality in Bishnumati corridor, Kathmandu metropolis. Int J Environ Sci Tech 2:217–222

    CAS  Google Scholar 

  • Skene KJ, Gent JF, McKay LA, Belanger K, Leaderer BP, Holford TR (2010) Modeling effects of traffic and landscape characteristics on ambient nitrogen dioxide levels in Connecticut. Atmos Environ 44:5156–5164

    Article  CAS  Google Scholar 

  • State of Environmental Protection Administration of China (1996) Ambient air quality standard (GB3095-1996). China Environmental Science Press, Beijing

    Google Scholar 

  • Tang UW, Sheng N (2009) City profile: Macao. Cities 26:220–231

    Article  Google Scholar 

  • Tang UW, Wang ZS (2006) Determining gaseous emission factors and driver’s particle exposures during traffic congestion by vehicle-following measurement techniques. J Air Waste Manage Assoc 56:1532–1539

    Article  CAS  Google Scholar 

  • Tang UW, Wang ZS (2007) Influences of urban forms on traffic-induced noise and air pollution: results from a modeling system. Environ Model Softw 22:1750–1764

    Article  Google Scholar 

  • United Nations World Population Prospects (2004 revision). UN Statistics Division. Retrieved 2008-01-07

  • Vienneau D, de Hoogh K, Briggs D (2009) A GIS-based method for modelling air pollution exposures across Europe. Sci Total Environ 408:255–266

    Article  CAS  Google Scholar 

  • Wilson JG, Zawar-Reza P (2006) Intraurban-scale dispersion modelling of particulate matter concentrations: applications for exposure estimates in cohort studies. Atmos Environ 40:1053–1063

    Article  Google Scholar 

  • Yassin MF (2009) Numerical simulation on pollutant dispersion from vehicle exhaust in street configurations. Environ Monitor Assess 156:257–273

    Article  CAS  Google Scholar 

  • Yassin MF (2011) Impact of height and shape of building roof on air quality in urban street canyons. Atmos Environ 45:5220–5229

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The first author was supported by the Macau Foundation and Macau University of Science and Technology under Grand No. 0126.

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Correspondence to U. W. Tang.

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Sheng, N., Tang, U.W. Risk assessment of traffic-related air pollution in a world heritage city. Int. J. Environ. Sci. Technol. 10, 11–18 (2013). https://doi.org/10.1007/s13762-012-0030-1

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  • DOI: https://doi.org/10.1007/s13762-012-0030-1

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