Skip to main content

Advertisement

Springer Nature Link
Log in

The statistical evaluation and comparison of ADMS-Urban model for the prediction of nitrogen dioxide with air quality monitoring network

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

In many countries, road traffic is one of the main sources of air pollution associated with adverse effects on human health and environment. Nitrogen dioxide (NO2) is considered to be a measure of traffic-related air pollution, with concentrations tending to be higher near highways, along busy roads, and in the city centers, and the exceedances are mainly observed at measurement stations located close to traffic. In order to assess the air quality in the city and the air pollution impact on public health, air quality models are used. However, firstly, before the model can be used for these purposes, it is important to evaluate the accuracy of the dispersion modelling as one of the most widely used method. The monitoring and dispersion modelling are two components of air quality monitoring system (AQMS), in which statistical comparison was made in this research. The evaluation of the Atmospheric Dispersion Modelling System (ADMS-Urban) was made by comparing monthly modelled NO2 concentrations with the data of continuous air quality monitoring stations in Kaunas city. The statistical measures of model performance were calculated for annual and monthly concentrations of NO2 for each monitoring station site. The spatial analysis was made using geographic information systems (GIS). The calculation of statistical parameters indicated a good ADMS-Urban model performance for the prediction of NO2. The results of this study showed that the agreement of modelled values and observations was better for traffic monitoring stations compared to the background and residential stations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Batterman, S. A., Zhang, K., & Kononowech, R. (2010). Prediction and analysis of near-road concentrations using a reduced-form emission/dispersion model. Environmental Health, 9(29), 1–18.

    Google Scholar 

  • Briant, R., Seigneur, C., Gadrat, M., & Bugajny, C. (2013). Evaluation of roadway gaussian plume models with large-scale measurement campaigns. Geoscientific Model Development, 6, 445–456.

    Article  Google Scholar 

  • Carruthers, D. J., Edmunds, H. A., Lester, A. E., McHugh, C. A., & Singles, R. J. (2000). Use and validation of ADMS-urban in contrasting urban and industrial locations. International Journal of Environment and Pollution, 14, 364–374.

    Article  CAS  Google Scholar 

  • Carslaw, D., ApSimon, H., Beevers, S., Brookes, D., Carruthers, D., Cooke, S., et al. (2013). Defra Phase 2 urban model evaluation. http://uk-air.defra.gov.uk/assets/documents/reports/cat20/1312021020_131031urbanPhase2.pdf. Accessed 16 Nov 2014.

  • CERC. (2011). ADMS-Urban User Guide. Version 3.1. Cambridge, UK, 324. http://www.cerc.co.uk/environmental-software/assets/data/doc_userguides/CERC_ADMS-Urban3.1_User_Guide.pdf. Accessed 4 Sept 2014.

  • Chang, J. C., & Hanna, S. R. (2004). Air quality model performance evaluation. Meteorology and Atmospheric Physics, 87, 167–196.

    Article  Google Scholar 

  • Council Directive 2008/50/EC (2008). On ambient air quality and cleaner air for Europe. From the Official Journal of the European Union, 11.6.2008, En series, L152/1.

  • Debry, E., Malherbe, L., Schillinger, C., Bessagnet, B., Rouil, L. (2009). Uncertainty characterization and quantification in air pollution models. Application to the ADMS-Urban model. Geophysical Research Abstracts. EGU General Assembly. Vienna April 19–24.

  • Dėdelė, A., & Miškinytė, A. (2015). Estimation of inter-seasonal differences in NO2 concentrations using a dispersion ADMS-urban model and measurements. Air Quality, Atmosphere and Health, 8, 123–133.

    Article  Google Scholar 

  • DEFRA (2010). Evaluating the performance of air quality models. http://uk-air.defra.gov.uk/assets/documents/reports/cat05/1006241607_100608_MIP_Final_Version.pdf. Accessed 9 August 2014.

  • Di Sabatino, S., Buccolieri, R., Pulvirenti, B., & Britter, R. E. (2008). Flow and pollutant dispersion in street canyons using FLUENT and ADMS-urban. Environmental Modeling and Assessment, 13(3), 369–381.

    Article  Google Scholar 

  • Elbir, T. (2003). Comparison of model predictions with the data of an urban air quality monitoring network in Izmir, Turkey. Atmospheric Environment, 37, 2149–2157.

    Article  CAS  Google Scholar 

  • Elbir, T., Mangirb, N., Karaa, M., Simsira, S., Erena, T., & Ozdemirb, S. (2010). Development of a GIS-based decision support system for urban air quality management in the city of Istanbul. Atmospheric Environment, 44(4), 441–454.

    Article  CAS  Google Scholar 

  • European Environment Agency. (2009). Ensuring quality of life in Europe’s cities and towns. Copenhagen: EEA. Report No5/2009.

    Google Scholar 

  • European Environment Agency. (2011). The application of models under the European union’s air quality directive: a technical reference guide. EEA technical report No10/2011. Copenhagen. https://www.eionet.europa.eu/events/EIONET/Technical%20report_3. Accessed 10 Aug 2014.

  • Gillespie-Bennett, J., Pierse, N., Wickens, K., Crane, J., Howden-Chapman, P., & Housing Heating and Health Study Research Team. (2011). The respiratory health effects of nitrogen dioxide in children with asthma. European Respiratory Journal, 38, 303–309.

    Article  CAS  Google Scholar 

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

    Article  CAS  Google Scholar 

  • Hanna, S. R. (1993). Uncertainties in air quality model predictions. Boundary-Layer Meteorology, 62, 3–20.

    Article  Google Scholar 

  • Heck, J. E., Wu, J., Lombardi, C., Qiu, J., Meyers, T. J., Wilhelm, M., et al. (2013). Childhood cancer and traffic-related air pollution exposure in pregnancy and early life. Environmental Health Perspectives, 121(11–12), 1385–1391.

    Google Scholar 

  • Heist, D., Isakov, V., Perry, S., Snyder, M., Venkatram, A., Hood, C., et al. (2013). Estimating near-road pollutant dispersion: a model inter-comparison. Transportation Research Part D: Transport and Environment, 25, 93–105.

    Article  Google Scholar 

  • Hirtl, M., & Baumann-Stanzer, K. (2007). Evaluation of two dispersion models (ADMS-roads and LASAT) applied to street canyons in Stockholm, London and berlin. Atmospheric Environment, 41(28), 5959–5971.

    Article  CAS  Google Scholar 

  • Jerrett, M., Arain, A., Kanaroglou, P., Beckerman, B., Potoglou, D., Sahsuvaroglu, T., et al. (2005). A review and evaluation of intraurban air pollution exposure models. Journal of Exposure Analysis and Environmental, 15, 185–204.

    Article  CAS  Google Scholar 

  • Johns, D. O., Stanek, L. W., Walker, K., Benromdhane, S., Hubbell, B., Ross, M., et al. (2012). Practical advancement of multipollutant scientific and risk assessment approaches for ambient air pollution. Environmental Health Perspectives, 120(9), 1238–1242.

    Article  Google Scholar 

  • Kostrzewa, A., Reungoat, P., & Raherison, C. (2009). Validity of a traffic air pollutant dispersion model to assess exposure to fine particles. Environmental Research, 109(6), 651–656.

    Article  CAS  Google Scholar 

  • Kwon, H. J., Lee, S. G., Jee, Y. K., Lee, S. R., & Hwang, S. S. (2007). Effects of personal exposure to nitrogen dioxide on peak expiratory flow in asthmatic patients. Journal of Preventive Medicine and Public Health, 40, 59–63.

    Article  Google Scholar 

  • Latza, U., Gerdes, S., & Baur, X. (2009). Effects of nitrogen dioxide on human health: systematic review of experimental and epidemiological studies conducted between 2002 and 2006. International Journal of Hygiene and Environmental Health, 212, 271–287.

    Article  CAS  Google Scholar 

  • Lewné, M., Cyrys, J., Meliefste, K., Hoek, G., Brauer, M., Fischer, P., Gehring, U., Heinrich, J., Brunekreef, B., Bellander, T. (2004). Spatial variation in nitrogen dioxide in three European areas. Science of The Total Environment, 332(1-3), 217–230.

  • Lioy, P. J., & Smith, K. R. (2013). A discussion of exposure science in the 21st century: a vision and a strategy. Environmental Health Perspectives, 121(4), 405–409.

    Google Scholar 

  • Liu, L., Poon, R., Chen, L., Frescura, A., Montuschi, P., Ciabattoni, G., et al. (2009). Acute effects of Air pollution on pulmonary function, airway inflammation, and oxidative stress in asthmatic children. Environmental Health Perspectives, 117, 668–674.

    Article  CAS  Google Scholar 

  • McConnell, R., Islam, T., Shankardass, K., Jerrett, M., Lurmann, F., Gilliland, F., et al. (2010). Childhood incident asthma and traffic-related air pollution at home and school. Environmental Health Perspectives, 118(7), 1021–1026.

    Article  CAS  Google Scholar 

  • McHugh, C. A., Carruthers, D. J., & Edmunds, H. A. (1997). ADMS-urban: an air quality management system for traffic, domestic and industrial pollution. International Journal of Environment and Pollution, 8, 666–674.

    CAS  Google Scholar 

  • Mohan, M., Bhati, S., Sreenivas, A., & Marrapu, P. (2011). Performance evaluation of AERMOD and ADMS-urban for total suspended particulate matter concentrations in megacity Delhi. Aerosol and Air Quality Research, 11, 883–894.

  • Nguyen, H.T., Kim, K.-H. (2006). Comparison of spatiotemporal distribution patterns of NO2 between four different types of air quality monitoring stations. Chemosphere, 65(2), 201–212.

  • Ozkaynak, H., Palma, T., Touma, J., & Thurman, J. (2008). Modeling population exposures to outdoor sources of hazardous air pollutants. Journal of Exposure Science and Environmental Epidemiology, 18, 45–58.

    Article  Google Scholar 

  • Patela, M. M., Chillrudb, S. N., Deeptic, K. C., Rossb, J. M., & Kinneya, P. L. (2013). Traffic-related air pollutants and exhaled markers of airway inflammation and oxidative stress in New York city adolescents. Environmental Research, 121, 71–78.

    Article  Google Scholar 

  • Pénard-Morand, C., Schillinger, C., Armengaud, A., Debotte, G., Chrétien, E., Pelllier, S., et al. (2006). Assessment of schoolchildren’s exposure to traffic-related air pollution in the French six cities study using a dispersion model. Atmospheric Environment, 40(13), 2274–2287.

    Article  Google Scholar 

  • Perry, S. G., Cimorelli, A. J., Paine, R. J., Brode, R. W., Weil, J. C., Venkatram, A., et al. (2005). AERMOD: a dispersion model for industrial source applications. Part II: model performance against 17 field study databases. Journal of Applied Meteorology, 44, 694–708.

    Article  Google Scholar 

  • Rao, K. S. (2005). Uncertainty analysis in atmospheric dispersion modeling. Pure and Applied Geophysics, 162, 1893–1917.

    Article  Google Scholar 

  • Righi, S., Lucialli, P., & Pollini, E. (2009). Statistical and diagnostic evaluation of the ADMS-urban model compared with an urban air quality monitoring network. Atmospheric Environment, 43(25), 3850–3857.

    Article  CAS  Google Scholar 

  • Sayegh, A. S., Munir, S., & Habeebullah, T. M. (2014). Comparing the performance of statistical models for predicting PM10 concentrations. Aerosol and Air Quality Research, 14, 653–665.

    CAS  Google Scholar 

  • Shad, R., Mesgari, M. S., Abkar, A., & Shad, A. (2009). Predicting air pollution using fuzzy genetic linear membership kriging in GIS. Computers Environment and Urban Systems Spatial Data Mining–Methods and Applications, 33(6), 472–481.

    Article  Google Scholar 

  • Stocker, J., Hood, C., Carruthers, D., & McHugh, C. (2012). ADMS-urban: developments in modelling dispersion from the city scale to the local scale. International Journal of Environment and Pollution, 50, 308–316.

    Article  CAS  Google Scholar 

  • Van den Hooven, E. H., Pierik, F. H., Van Ratingen, S. W., Zandveld, P. Y. J., Meijer, E. W., Hofman, A., et al. (2012). Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands. Environmental Health, 11(9), 1–11.

    Google Scholar 

  • Wiemann, S., Richtera, S., Karrascha, P., Braunera, J., Pechb, K., Bernarda, L. (2012). Classification-driven air pollution mapping as for environment and health analysis. International Environmental Modelling and Software Society (iEMSs) conference. Leipzig, Germany. July 1–5.

  • Zou, B., Wilson, J. G., Zhan, F. B., & Zeng, Y. (2009). Air pollution exposure assessment methods utilized in epidemiological studies. Journal of Environmental Monitoring, 11(3), 475–490.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the use of air quality data from the Kaunas city Municipality and Environmental Protection Agency.

Author information

Authors and Affiliations

  1. Department of Environmental Sciences, Vytautas Magnus University, 8 Vileikos Street, Kaunas, LT-44404, Lithuania

    Audrius Dėdelė & Auksė Miškinytė

Authors
  1. Audrius Dėdelė
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Auksė Miškinytė
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Audrius Dėdelė.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dėdelė, A., Miškinytė, A. The statistical evaluation and comparison of ADMS-Urban model for the prediction of nitrogen dioxide with air quality monitoring network. Environ Monit Assess 187, 578 (2015). https://doi.org/10.1007/s10661-015-4810-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-015-4810-1

Keywords

Search

Navigation

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy