Assessing methods of PM10 and NOx emission for EIA of roads
Author:
Lieplapa Liga,Blumberga Dagnija
Abstract
PurposeThe quantitative assessment of environmental effects should be carried out using the indicators that ensure the best objectivity and efficiency of the environmental impact assessment (EIA) process. The aim of this paper is to clarify the effectiveness of the methods used for prognoses of air pollution from roads. The benchmark method proposed in this paper is based on theoretical knowledge and on analysis of data collected from EIA reports.Design/methodology/approachThe paper includes a literature review and developing of the benchmark method. This research was based on data dispersion analysis, determination of benchmarks, usage of regression method, as well as confrontation of different methods of determination of air emission concentration used in EIA.FindingsThe simplified model has been designed for determination of concentration of dust emission in the air from motor roads, the building or reconstruction of which is planned. The results indicate that the benchmark method for determination of air pollution with particulate matter PM10 has been elaborated, which can be used for environmental impact evaluation in motor road construction. The method has been elaborated relying on measurement data of existing motor roads and displays a high level of probability of credibility.Practical implicationsThe method is simpler and less time‐consuming than the currently used calculation model. It produces a more precise result than the calculation model. It is outstanding and important since the further development of motor road projects can undoubtedly be judged by the results of EIA.Originality/valueThe results of this research provide a rational and comparative approach for finding the methods of determination of the air emission concentration used in EIA in producing the credible outcome. The results reported in the research show existing problems with calculation of emissions from roads. The proposed benchmark method is simple, easy to use and credible.
Subject
Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health
Reference15 articles.
1. Berger, J. and Denby, B. (2005), “A generalised model for traffic induced road dust emissions. Model description and evaluation”, Atmospheric Environment, Vol. 39 No. 13, pp. 2341‐7. 2. Dahl, A., Gharibib, A., Swietlickib, E., Gudmundssona, A., Bohgarda, M., Ljungmanc, A., Blomqvistd, G. and Gustafsson, M. (2006), “Traffic‐generated emissions of ultrafine particles from pavement – tire interface”, Atmospheric Environment, Vol. 40 No. 7, pp. 1314‐23. 3. Etyemezian, V., Kuhn, H., Gillies, J., Chow, J., Hendrickson, K., McGown, M. and Pitchford, M. (2003), “Vehicle‐based road dust emission measurement (III): effect of speed, traffic volume, location, and season on PM10 road dust emissions in the Treasure Valley, ID”, Atmospheric Environment, Vol. 37 No. 32, pp. 4583‐93. 4. Gillies, J.A., Etyemezian, V., Kuhns, H., Nikolic, D. and Gillette, D.A. (2005), “Effect of vehicle characteristics on unpaved road dust emissions”, Atmospheric Environment, Vol. 39 No. 13, pp. 2341‐7. 5. Gupta, A.K. and Sinha, R. (1999), “Criteria and indicators of sustainability: an executive summary”, Executive summary of the Proceedings of the International Training Workshop, “Criteria and Indicators of Sustainability in Rural Development: A Natural Resource Perspective”, Delhi, 11‐13 March.
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