In recent years, the industrial demand for petcoke—a solid residue derived from the refinement of crude oil—has been growing due to its low cost. The use of petcoke is causing environmental concern associated with its high level of contaminants and air pollutant emissions, mainly particulate matter (PM). Given the impact of petcoke on the environment and human health, increased attention has been given to its production, storage, transportation, and application processes. The main goal of this work was to assess the effectiveness of placing a barrier to reduce PM emissions from petcoke in a harbor area. The Port of Aveiro, Portugal, was used as case study. Firstly, wind tunnel experiments were performed for different types of barrier to (i) assess the effect on PM emissions of different types of barriers, namely solid, porous, and raised porous barriers; (ii) determine the optimal size and location of the barrier to achieve maximum reduction of PM emissions; and (iii) estimate the impact of placing such barrier in the attenuation of petcoke emissions over the harbor area. Secondly, the numerical model VADIS (pollutant DISpersion in the atmosphere under VAriable wind conditions) was run to evaluate the effect of implementing the barrier on the local air quality. Results showed that the best solution would be the implementation of two solid barriers: a main barrier of 109 m length plus a second barrier of 30 m length. This measure produced the best results in terms of reduction of the dispersion of particulate matter from the petcoke stockpile and minimization of the PM concentrations in the harbor surrounding area.
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The authors are grateful to the Institute of Environment and Development, and to the Administration of the Port of Aveiro for promoting the work and allowing the results to be disseminated.
The authors wish to thank the financial support of FEDER through the COMPETE Programme and the national funds from FCT – Science and Technology Portuguese Foundation for financing the AIRSHIP project (PTDC/AAG-MAA/1581/2014), CESAM (UID/AMB/50017 - POCI-01-0145-FEDER-007638), and also for the PhD grant of S. Sorte (SFRH/BD/117164/2016).
McKee RH, Herron D, Beatty P, Podhasky P, Hoffman GM, Swigert J, Lee C, Wong D (2014) Toxicological assessment of green petroleum coke. Int J Toxicol 33:156S–167SCrossRefGoogle Scholar
Moreno T, Querol X, Alastruey A, Viana M, Salvador P, Campa AS, Artiñano B, Rosa J, Gibbons W (2006) Variations in atmospheric PM trace metal content in Spanish towns: illustrating the chemical complexity of the inorganic urban aerosol cocktail. Atmos Environ 40:6791–6803. https://doi.org/10.1016/j.atmosenv.2006.05.074CrossRefGoogle Scholar
Sorte S, Lopes M, Rodrigues V, Leitão J, Monteiro A, Ginja J, Coutinho M, Borrego C (2018) Measures to reduce air pollution caused by fugitive dust emissions from harbour activities. Int J Environ Impacts 1:115–126. https://doi.org/10.2495/EI-V1-N2-115-126Google Scholar
USEPA (United States Environmental Protection Agency) (2011) Exposure factors handbook: 2011 Edition. Washington D.C., U.S.A.Google Scholar
USEPA (United States Environmental Protection Agency) (2015) Emissions estimation protocol for petroleum refineries. Research Triangle Park, North CarolinaGoogle Scholar
Wainwright J, Mulligan M (eds) (2004) Environmental modelling: finding simplicity in complexity. Wiley, ChichesterGoogle Scholar