Other Memberships/Affiliations
Engineering, New Zealand
Institute of Engineers Sri Lanka
Degrees:
2015
Doctorate Engineering sciences
Thesis title: Application of Semi-empirical and statistical techniques in urban air pollution modelling
2008
Master Engineering sciences
2001
Undergraduate Engineering sciences
Specialized in Chemical Engineering
Publications resulting from Research
Elangasinghe. M.A., Dirks, K.N., Singhal, N., Salmond, J.A., Longley, I., Dirks, V.I. (2016). A simple Tool to Identify Representative Wind Sites for Air Pollution Modelling Applications. Advances in Meteorology. Hindawi Publishing Corporation. Article ID 5494585. http://dx.doi.org/10.1155/2016/5494585 Number of citations: 3 Journal Impact Factor: 1.962
Elangasinghe, M. A., Dirks, K. N., Singhal, N., Costello, S. B., Longley, I., & Salmond,J. A. (2014). A simple semi-empirical technique for apportioning the impact of roadways on air quality in an urban neighborhood. Atmospheric Environment, 83, 99-108. https://doi.org/10.1016/j.atmosenv.2013.11.005 Number of citations: 13 Journal Impact Factor: 4.012
Elangasinghe, M. A., Singhal, N., Dirks, K. N., Salmond, J. A., & Samarasinghe, S. (2014). Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering. Atmospheric Environment, 94, 106- 116. https://doi.org/10.1016/j.atmosenv.2014.04.051 Number of citations: 135 Journal Impact Factor: 4.01
Elangasinghe, M. A., Singhal, N., Dirks, K. N., & Salmond, J. A. (2014). Development of an ANN-based air pollution forecasting system with explicit knowledge through sensitivity analysis. Atmospheric Pollution Research, 5(4), 696-708 https://doi.org/10.5094/APR.2014.079
Number of citations: 120 Journal Impact Factor: 4.352
Elangasinghe, M.A., Shanthini, R. (2008). Determination of atmospheric PM10 concentration in Kandy in relation to traffic intensity. Journal of National Science Foundation, Sri Lanka, 36(3), 245-249. http://doi.org/10.4038/jnsfsr.v36i3.162
Number of citations: 4 Journal Impact Factor: 0.515
Dirks, K.N., Singhal, N., Austin, G.L., Elangasinghe M.A. & Nanni, A. (2012). A Methodology for Quantifying the Contribution of Volcanic Ash to Urban Air Pollution. Air Pollution Modeling and its Application XXI, NATO Science for Peace and Security Series C: Environmental Security 2012, 285-288. DOI:10.1007/978-94-007-1359-8_48
Elangasinghe, M.A., Singhal, N., Dirks, K.N., Salmond, J.A. (2013). Development of a practically-significant ANN-based air pollution forecasting tool with the aid of explicit knowledge through sensitivity analysis. Oral presentation at International Congress on Modelling and Simulation (MODSIM) 2013, 1-6 December 2013, Adelaide, Australia
Elangasinghe, M.A., Dirks, K.N., Singhal, N. (2012). Importance of anemometer siting characteristics for traffic air pollution modelling in urban areas. Oral presentation at Urban Science Symposium โ CSIRO Complex Systems Science Networks, 13-15 Feb, 2012, Melbourne, Australia.
Elangasinghe, M.A., Dirks, K.N., Singhal, N. (2012). Prediction of carbon monoxide concentrations in Auckland, New Zealand using a site-optimized semi-empirical model and artificial neural networks. Oral presentation at Extreeme Weather 2011 โ Joint Conference of the MSNZ and AMOS, 9-11 Feb, 2011, Wellington, New Zealand (p. 69)
Anushka Elangasinghe, Naresh Singhal, Kim Dirks (2012). Artificial Neural Network as a useful tool in meteorological modelling of Air Pollutants. Oral presentation at 33rd Annual Conference of Meteorological Society of New Zealand, 19-20 Nov, 2012, Wellington, New Zealand.
Elangasinghe, M. A., Dirks, K. N., Singhal, N., Costello, S. B., Longley, I., & Salmond,J. A. (2014). A simple semi-empirical technique for apportioning the impact of roadways on air quality in an urban neighborhood. Atmospheric Environment, 83, 99-108. https://doi.org/10.1016/j.atmosenv.2013.11.005 Number of citations: 13 Journal Impact Factor: 4.012
Elangasinghe, M. A., Singhal, N., Dirks, K. N., Salmond, J. A., & Samarasinghe, S. (2014). Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering. Atmospheric Environment, 94, 106- 116. https://doi.org/10.1016/j.atmosenv.2014.04.051 Number of citations: 135 Journal Impact Factor: 4.01
Elangasinghe, M. A., Singhal, N., Dirks, K. N., & Salmond, J. A. (2014). Development of an ANN-based air pollution forecasting system with explicit knowledge through sensitivity analysis. Atmospheric Pollution Research, 5(4), 696-708 https://doi.org/10.5094/APR.2014.079
Number of citations: 120 Journal Impact Factor: 4.352
Elangasinghe, M.A., Shanthini, R. (2008). Determination of atmospheric PM10 concentration in Kandy in relation to traffic intensity. Journal of National Science Foundation, Sri Lanka, 36(3), 245-249. http://doi.org/10.4038/jnsfsr.v36i3.162
Number of citations: 4 Journal Impact Factor: 0.515
Dirks, K.N., Singhal, N., Austin, G.L., Elangasinghe M.A. & Nanni, A. (2012). A Methodology for Quantifying the Contribution of Volcanic Ash to Urban Air Pollution. Air Pollution Modeling and its Application XXI, NATO Science for Peace and Security Series C: Environmental Security 2012, 285-288. DOI:10.1007/978-94-007-1359-8_48
Elangasinghe, M.A., Singhal, N., Dirks, K.N., Salmond, J.A. (2013). Development of a practically-significant ANN-based air pollution forecasting tool with the aid of explicit knowledge through sensitivity analysis. Oral presentation at International Congress on Modelling and Simulation (MODSIM) 2013, 1-6 December 2013, Adelaide, Australia
Elangasinghe, M.A., Dirks, K.N., Singhal, N. (2012). Importance of anemometer siting characteristics for traffic air pollution modelling in urban areas. Oral presentation at Urban Science Symposium โ CSIRO Complex Systems Science Networks, 13-15 Feb, 2012, Melbourne, Australia.
Elangasinghe, M.A., Dirks, K.N., Singhal, N. (2012). Prediction of carbon monoxide concentrations in Auckland, New Zealand using a site-optimized semi-empirical model and artificial neural networks. Oral presentation at Extreeme Weather 2011 โ Joint Conference of the MSNZ and AMOS, 9-11 Feb, 2011, Wellington, New Zealand (p. 69)
Anushka Elangasinghe, Naresh Singhal, Kim Dirks (2012). Artificial Neural Network as a useful tool in meteorological modelling of Air Pollutants. Oral presentation at 33rd Annual Conference of Meteorological Society of New Zealand, 19-20 Nov, 2012, Wellington, New Zealand.
International Congress on Modelling and Simulation (MODSIM)
2025
Urban Science Symposium โ CSIRO Complex Systems Science Networks
2025
33rd Annual Conference of Meteorological Society of New Zealand
2025
International workshop-Better Air Quality
2025