Emission Inventory of Air Pollutants in a Metal Recycling Facility

M.A. Adeyeye^1, , F.A. Akeredolu¹, J.A. Sonibare¹, B.S. Fakinle¹, E.L. Odekanle¹ and I.M. Oloko-Oba²

¹Environmental Engineering Research Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

²African Regional Centre for Space Science and Technology Education-English (ARCSSTE-E), Obafemi Awolowo University, Ile-Ife, Nigeria

Cite this paper:
M.A. Adeyeye, F.A. Akeredolu, J.A. Sonibare, B.S. Fakinle, E.L. Odekanle and I.M. Oloko-Oba. Emission Inventory of Air Pollutants in a Metal Recycling Facility. American Journal of Environmental Protection. 2017; 5(1):9-12. doi: 10.12691/env-5-1-2

Abstract

Emission inventory plays important roles in the assessment, monitoring, modelling and management of emissions of air pollutants which have devastating impacts on human health, vegetation and climate. The study estimates the quantities of selected air pollutants generated from a metal recycling process involving charging, melting and tapping using standard emission factor approach. The pollutants considered include Nitrogen oxides (NO_x), Sulphur oxides (SO₂), Carbon monoxide (CO) and Total Suspended Particulate (TSP) matter. The total quantity of material consumption daily represents the activity level. The total quantity of material consumed was combined with appropriate published emission factors by United States Environmental Protection Agency (USEPA). The result showed that the quantities of NO_x, SO₂, CO, and total suspended particulate (TSP) matter emitted are 0.013, 0.012, 0.110 and 2.323 tonne/day, respectively. The percentage proportion of TSP emitted is 94.5 % followed by CO (4.5 %) while the quantities of NOx (0.5 %) and SO₂ (0.5 %) are similar. The inventory information in this study is expected to serve as a guide to researchers and policy makers to know the fate and effects of air pollutants in the study area for adequate air quality management.

Keywords:
emission inventory metal recycling emission factors air pollutants

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Gao, J., Wang, T., Zhou, X.H., Wu, W.X., and Wang, W.X. (2009). Measurement of aerosol number size distributions in the Yangtze River delta in China: Formation and growth of particles under polluted conditions. Atmos. Environ. 43: 829-836.
[2]	Geng, F.H., Zhang, Q., Tie, X.X., Huang, M.Y., Ma, X.C., Deng, Z.Z., Yu, Q., Quan, J.N., and Zhao, C.S. (2009). Aircraft measurement of O3, NOx, CO, VOCs, and SO2 in the Yangtze River Delta region. Atmos. Environ. 43: 584-593.
[3]	Tie, X.X. and Cao, J.J. (2009). Aerosol pollution in China: Present and future impact on environment. Particuology, 7(3): 426-431.
[4]	Lee, H.C., Kim, M.K. and Jo, W.K. (2011). Pb Isoopic Ratios in Airborne PM10 of an Iron/Metal Industrial Complex Area and nearby Residential Areas: Implications for Ambient Sources of Pb Pollution. Atmos. Res. 99: 462-470.
[5]	Owoade, O.K., Olise, F.S., Olaniyi, H.B., Obioh, I.B. and Bolzacchini, E. (2011). Mass and Energy audit in a Nigerian iron and steel smelting factory: An operational and efficiency study. Ife Journal of Science, 13(1): 133-142.
[6]	Norgate, T.E., Jahanshahi, S. and Rankin, W.J. (2007). Assessing the Environmental Impact of Metal Production Processes. J. of Cleaner Prod. 15 (8): 838-848
[7]	Health Effects Institute (2002) Understanding the health effects of components of the particulate matter mix: progress and next steps. HEI Perspectives. Health Effects Institute, Boston, MA.
[8]	Banerjee, T., Barman, S. C., and Srivastava, R. K. (2011). Application of air pollution dispersion modelling for source- contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar. Environmental Pollution, 159: 865-875.
[9]	de Kluizenaar, Y., Aherne, J., & Farrell, E. P. (2001). Modelling the spatial distribution of SO2 and NOx emissions in Ireland. Environmental Pollution, 112: 171-182.
[10]	Parra, R., Jimenez, P., & Baldasano, J. M. (2006). Development of the high spatial resolution EMICAT2000 emission model for air pollutants from the north-eastern Iberian Peninsula (Catalonia, Spain). Environmental Pollution, 140: 200-219.
[11]	Wang, H., Fu, L., Zhou, Y., Du, X., & Ge, W. (2010). Trends in vehicular emissions in China’s mega cities from 1995 to 2005. Environmental Pollution, 158: 394-400.
[12]	Su, S., Li, B., Cui, S., & Tao, S. (2011). Sulphur dioxide emissions from combustion in China: from 1990 to 2007. Environmental Science and Technology, 45: 8403-8410.
[13]	Streets, D. G., Bond, T. C., Carmichael, G. R., Fernandes, S. D., Fu, Q., He, D., Klimont, Z., Nelson, S. M., Tsai, N. Y., Wang, M. Q.,Woo, J. H., and Yarber, K. F. (2003). An inventory of gaseous and primary aerosol emissions in Asia in the year 2000. J. Geophys. Res., 108(D21): 8809.
[14]	Hao, J. M., Tian, H. Z., and Lu, Y. Q. (2002). Emission inventories of NOx from commercial energy consumption in China, 1995-1998, Environ. Sci. Technol., 36: 552-560.
[15]	Cao, G. L., Zhang, X. Y., and Zheng, F. C. (2006). Inventory of black carbon and organic carbon emissions from China, Atmos. Environ., 40: 6516–6527.
[16]	Lei, Y., Zhang, Q., He, K. B., and Streets, D. G. (2011). Primary anthropogenic aerosol emission trends for China, 1990-2005. Atmos. Chem. Phys., 11: 931–954.
[17]	Jimoda, L.A., Sonibare, J.A. and Akeredolu, F.A. (2009). Emission Inventory of Anthropogenic Activities at Southeastern Lagos. Ife Journal of Technology. 10(2): 35-41.
[18]	Zheng, J., Zhang, L., Che, W., Zheng, Z. And Yin, S. (2009). Highly Resolved Temporal and Spatial Air Pollutant Emission Inventory for the Pearl River Delta Region, China and its Uncertainty Assessment. Atmos. Environ. 43: 5112-5122.
[19]	USEPA. Air quality criteria for particulate matter. Vol. 1-3, Office of Research and Development, Washington DC ( EPA Report No. EPA/001a-c). 1995.