Skip to main content

Modelling Street-Scale Resolution Air Quality for the West Midlands (UK) Using the ADMS-Urban RML System

  • Conference paper
  • First Online:
Air Pollution Modeling and its Application XXVIII (ITM 2021)

Abstract

Air pollution is a major environmental concern in urban areas, causing substantial adverse effects on human health. This study simulated street-scale resolution air quality for the West Midlands region in the UK using a regional-to-local coupled system, which combined the regional CMAQ model with the local ADMS-Urban model, without double-counting emissions. CMAQ was used to represent dispersion on large temporal and spatial scales, while ADMS-Urban represents the local short-term dispersion from explicit point and road sources. Both models were evaluated against observations with reasonable performance, i.e. CMAQ captured measured air pollutant concentrations at background sites, while coupled ADMS-Urban RML (Regional Model Link) also captured air pollution concentrations at roadside sites, where local effects were important. Street scale air quality maps were produced from the ADMS-Urban RML, which can be linked to health-related exposure studies. The coupled air quality modelling system for WM serves as an effective tool to evaluate potential regional and local air pollution mitigation policies.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., & Wang, X. (2012). The model of emissions of gases and aerosols from nature version 2.1 (MEGAN2.1): An extended and updated framework for modeling biogenic emissions. Geoscientific Model Developement, 5, 1471–1492. https://doi.org/10.5194/gmd-5-1471-2012

  • Granier, C., Darras, S., Denier Van Der Gon, H., Jana, D., Elguindi, N., Bo, G., Michael, G., Marc, G., Jalkanen, J.-P., Kuenen, J., et al. (2019). The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version); Copernicus Atmosphere Monitoring Service.

    Google Scholar 

  • Hood, C., MacKenzie, I., Stocker, J., Johnson, K., Carruthers, D., Vieno, M., & Doherty, R. (2018). Air quality simulations for London using a coupled regional-to-local modelling system. Atmospheric Chemistry and Physics, 18, 11221–11245. https://doi.org/10.5194/acp-18-11221-2018

  • NAEI. (2019). Retrieved July 18, 2019, from http://naei.beis.gov.uk/data

  • Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., et al. (2012). The EMEP MSC-W chemical transport model—Technical description. Atmospheric Chemistry and Physics, 12, 7825–7865.

    Article  CAS  Google Scholar 

  • Zhong, J., Hood, C., Johnson, K., Stocker, J., Handley, J., Wolstencroft, M., Mazzeo, A., Cai, X., & Bloss, W. J. (2021). Using task farming to optimise a street-scale resolution air quality model of the West Midlands (UK). Atmosphere, 12, 983.

    Google Scholar 

Download references

Acknowledgements

This research was funded by the UK Natural Environment Research Council (NERC) project WM-Air, grant number NE/S003487/1.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Zhong .

Editor information

Editors and Affiliations

Questions and Answers

Questions and Answers

Question::

How did the ADMS-Urban RML system avoid double-counting the local emissions?

Answer::

The local ADMS-Urban model used concentrations from the regional CMAQ model as urban background conditions. These also included contributions from local emissions, so the concentration field due to initial dispersion from gridded local emissions in the ADMS-Urban model was removed before adding the contribution from the explicit street-scale local emissions.

Question::

Can you explain PM2.5 evaluation results from the RML system?

Answer::

For urban background sites, the RML system predicted concentrations similar to those from the regional CMAQ model, as there was little influence from the explicit road sources. For the roadside site, RML predicted only slightly higher concentrations than the regional CMAQ model as the PM2.5 contribution from long-range regional background remained dominant. There were a limited number of available sites for PM2.5 within the region.

Question::

How did the model capture the effect caused by buildings on air pollution dispersion?

Answer::

The ADMS-Urban RML system has a street canyon module which calculates street canyon effects on air pollution dispersion from explicit road sources, and also an urban canopy module which represents the overall flow and turbulence effects caused by buildings within the grids.

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhong, J. et al. (2022). Modelling Street-Scale Resolution Air Quality for the West Midlands (UK) Using the ADMS-Urban RML System. In: Mensink, C., Jorba, O. (eds) Air Pollution Modeling and its Application XXVIII. ITM 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-12786-1_10

Download citation

Publish with us

Policies and ethics