Abstract
The pollutants and its effects on human health are now a major issue around the world. The impact of traffic and the resulting vehicle emissions has come to the forefront. Particulate matter is one among six criteria pollutants and air pollution related to particulate matter is now becoming a serious problem in developing as well as developed countries. One of the main sources is from the vehicles and the resuspension caused by the vehicular movement. Source apportionment studies of Chennai (Clean Air Asia: Air quality profile 2010 edition) showed that from the residential monitoring stations levels of particulate matter in Chennai lies in the range of 51–70 µg/m3. According to DoT of the total road emissions in UK, about 80% is generated from particulate matter which is due to road traffic even though there are no factors like resuspension in this country. In UK, 103 areas have been declared as local air quality management areas (LAQMA), while in India, 72 cities have been identified as non-attainment area with respect to various air pollutants. Chennai, India and Newcastle City, UK which are the cities under study are the one among them facing severe air pollution problems. The main objective of the paper is application and evaluation of UK ADMS-Urban and AERMOD model for the prediction of particulate matter (PM10) concentrations at urban roadways in Chennai and in Newcastle. The model evaluation has been carried out using traffic data of 2009, meteorological data provided by Laga Systems, Hyderabad for both the cities and the real-time monitored data of the year 2009. The results of the study identified the trends in pollutant patterns and its variation with the different parameters of meteorological data. The statistical descriptors, namely index of agreement (IA), fractional bias (FB), normalized mean square error (NMSE), geometric mean bias (MG) and geometric mean variance (VG) were used to understand the performance of the model. Results indicated that both the models have been able to predict the pollutant concentration with reasonable accuracy. The IA values for ADMS and AERMOD are found to be 0.39 and 0.37, and 0.48 and 0.44, respectively, for Chennai and Newcastle City.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carruthers, DJ, Singles, RJ, Nixon, SG, Ellis, KL, Pendrey, M, Harwood, J (1999). Modelling air quality in central London. Cambridge Environmental Research Consultants Ltd. Report FM327 to the London Borough of Camden, the Central London Cluster Group of local authorities and the UK Department of the Environment, Transport and the Regions
CERC (2006a) http://www.cerc.co.uk
CERC (2006b) Cambridge environmental research consultants, ADMS—Urban user guide, http://www.cerc.co.uk/environmental-software/ADMSUrban-model.html
Colvile, RN, Woodfield, NK, Carruthers, DJ, Fisher, BEA, Rickard, A, Neville, S, Hughes, A (2002). Uncertainty in dispersion modelling and urban air quality mapping, J Environmental Science & Policy 5:207–220
Kumar A, Dixit S, Varadarajan C, Vijayan A, Masuraha A (2006) Evaluation of the AERMOD dispersion model as a function of atmospheric stability for an urban area. Environ Progr 25(2)
Kumar, A., Luo, J, Bennet, FG (1993). Statistical evaluation of lower flammability distance, process safety progress. Wiley InterScience, vol 12, p 1–11
McHugh, TE, Connor, JA., Ahmad F (2004). An empirical analysis of the groundwater-to-indoor air exposure pathway: The role of background concentrations in indoor air. Environmental Forensics, 5, p 33–44
Owen, B, Edmunds, HA., Carruthers, DJ, Singles, RJ (2000). Prediction of total oxides of nitrogen and nitrogen dioxide concentrations in a large urban area using a new generation urban scale dispersion model with integral chemistry model. Atmospheric Environment, 14:397–406
Righi, S, Lucialli, P, Pollini, E (2009). Statistical and diagnostic evaluation of the ADMS-Urban model compared with an urban air quality. J Atmospheric Environment 43: 3850–3857
Sharma, N, Chaudhry KK, Chalapati Rao, CV (2005). Vehicular pollution modeling in India. J Institution of Engineers (India) 85:46–63
Acknowledgements
The research work was a part of UKIERI funded research project titled “Evaluation of Quantitative Dispersion Models for Urban Air Quality Assessment”. We wish to thank UKIERI New Delhi. We also acknowledge CERC, UK who provided the ADMS for academic and research purpose; and Laga Systems Hyderabad for providing the meteorological data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Vijay, P., Shiva Nagendra, S.M., Gulia, S., Khare, M., Bell, M., Namdeo, A. (2021). Performance Evaluation of UK ADMS-Urban Model and AERMOD Model to Predict the PM10 Concentration for Different Scenarios at Urban Roads in Chennai, India and Newcastle City, UK. In: Shiva Nagendra, S.M., Schlink, U., Müller, A., Khare, M. (eds) Urban Air Quality Monitoring, Modelling and Human Exposure Assessment. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5511-4_12
Download citation
DOI: https://doi.org/10.1007/978-981-15-5511-4_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5510-7
Online ISBN: 978-981-15-5511-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)