February 2010
Anushka Elangasinghe > Other Awards
New Zealand Commonwealth Scholar to pursue a PhD at the University of Auckland, New Zealand
Other Memberships/Affiliations
Engineering, New Zealand
Institute of Engineers Sri Lanka
Degrees:
2015
Doctorate
Engineering sciences
2008
Master
Engineering sciences
2001
Undergraduate
Engineering sciences
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