Original Research

DEVELOPING A METHOD FOR POLLUTANT EMISSION RATE CAUSED BY FUEL CONSUMPTION FROM INDUSTRIAL TOWNS

Abstract

Introduction: Predicting the concentration and emission rates of air pollutants before constructing industrial towns via modeling can be an appropriate method for determining the industrial towns’ construction sites. For this purpose, it is necessary to compile proper information about fuel consumption rate by industrial units in various groups.
Materials and methods: In order to obtain the average fuel consumption in different groups, some questionnaires were prepared, then, filled in 5 industrial towns. Subsequently, using the AP - 42 emission factors, the production rate of various pollutants produced by these industrial groups was estimated. Later, the collected data were used to investigate the effect of constructing phase-II of Baharan Industrial Town, Hamadan, on the area’s weather in an area of 15*15 km2 using AERMOD.
Results: Based on the results derived from the questionnaires, the highest natural gas consumption rate was related to the food and textile zones with the estimated average consumption rates of 0.023532 (m3 / ha.s) and 0.021785 (m3 / ha.s), respectively. However, the lowest rate was related to the non - metallic minerals zone with the estimated average consumption rate of 0.00097 (m3/ ha.s).
Conclusions: Zoning the modeling results indicated that constructing phase-II of Baharan Industrial Town, Hamadan, would not increase the average concentration of air pollutants in the area to above the standard level.

Bhanarkar A, Goyal S, Sivacoumar R, Rao CC. Assessment of contribution of SO2 and NO2 from different sources in Jamshedpur region, India. Atmospheric Environment. 2005;39(40):7745-60. [2] Talaiekhozani A, Nasiri A. The modeling of carbon dioxide, methane and non-methane organic gases emission rates in solid waste landfill in city of jahrom, iran. Journal of Air Pollution and Health. 2016;1(3):191-204

Guerrieri P, Pietrobelli C. Industrial districts’ evolution and technological regimes: Italy and Taiwan. Technovation. 2004;24(11):899-914. [4] Hsu C-W, Chiang H-C. The government strategy for the upgrading of industrial technology in Taiwan. Technovation. 2001;21(2):123-32. [5] Saxenian A. Transnational communities and the evolution of global production networks: the cases of Taiwan, China and India. Industry and Innovation. 2002;9(3):183-202. [6] Peddle MT. Planned industrial and commercial developments in the United States: a review of the history, literature, and empirical evidence regarding industrial parks and research parks. Economic Development Quarterly. 1993;7(1):107-24. [7] Seangkiatiyuth K, Surapipith V, Tantrakarnapa K, Lothongkum AW. Application of the AERMOD modeling system for environmental impact assessment of NO2 emissions from a cement complex. Journal of Environmental Sciences. 2011;23(6):931-40. [8] Benis KZ, Shakerkhatibi M, Yousefi R, Kahforoushan D, Derafshi S. Emission patterns of acrylonitrile and styrene around an industrial wastewater treatment plant in Iran. International Journal of Environmental Science and Technology. 2016;13(10):2353-62. [9] Jayadipraja EA, Daud A, Assegaf AH, Maming M. Applying Spatial Analysis Tools in Public Health: The Use of AERMOD in Modeling the Emission Dispersion of SO2 and NO2 to Identify Exposed Area to Health Risks. Public Health of Indonesia. 2016;2(1):20-7. [10] Kumar A, Patil RS, Dikshit AK, Kumar R. Application of WRF Model for Air Quality Modelling and AERMOD–A Survey. Aerosol and Air Quality Research. 2017;17(7):1925-37. [11] Zade S, Ingole NW. Air Dispersion Modelling to Assess Ambient Air Quality Impact Due to Carbon Industry. [12] Ma J, Yi H, Tang X, Zhang Y, Xiang Y, Pu L. Application of AERMOD on near future air quality simulation under the latest national emission control policy of China: A case study on an industrial city. Journal of Environmental Sciences. 2013;25(8):1608-17. [13] Mokhtar MM, Hassim MH, Taib RM. Health risk assessment of emissions from a coal-fired power plant using AERMOD modelling. Process Safety and Environmental Protection. 2014;92(5):476-85. [14] Jampana SS, Kumar A, Varadarajan C. Application of the United States environmental protection agency’s AERMOD model to an industrial area. Environmental Progress & Sustainable Energy. 2004;23(1):12-8. [15] Afzali A, Rashid M, Afzali M, Younesi V. Prediction of Air Pollutants Concentrations from Multiple Sources Using AERMOD Coupled with WRF Prognostic Model. Journal of Cleaner Production. 2017. [16] Gibson MD, Kundu S, Satish M. Dispersion model evaluation of PM2.5, NOx and SO2 from point and major line sources in Nova Scotia, Canada using AER. MOD Gaussian plume air dispersion model. Atmospheric Pollution Research. 2013;4(2):157-67. [17] Perry SG, Cimorelli AJ, Paine RJ, Brode RW, Weil JC, Venkatram A, et al. AERMOD: A dispersion model for industrial source applications. Part II: Model performance against 17 field study databases. Journal of applied meteorology. 2005;44(5):694-708. [18] Cimorelli AJ, Perry SG, Venkatram A, Weil JC, Paine RJ, Wilson RB, et al. AERMOD: A dispersion model for industrial source applications. Part I: General model formulation and boundary layer characterization. Journal of applied meteorology . 2005;44(5):682-93. [19] Available at: https://www.amar.org.ir/. 2013. [20] Blackman A, Harrington W. The use of economic incentives in developing countries: Lessons from international experience with industrial air pollution. The Journal of Environment & Development. 2000;9(1):5-44. [21] Cimorelli AJ, Perry SG, Venkatram A, Weil JC, Paine RJ, Peters WD. AERMOD–Description of model formulation. 1998. [22] Kesarkar AP, Dalvi M, Kaginalkar A, Ojha A. Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India. Atmospheric Environment. 2007;41(9):1976-88. [23] Caputo M, Giménez M, Schlamp M. Intercomparison of atmospheric dispersion models. Atmospheric Environment. 2003;37(18):2435-49. [24] Jafarigol F, Atabi F, Moattar F, Nouri J. Predicting ambient concentrations of NO2 in a gas refinery located in South Pars Gas Complex. International Journal of Environmental Science and Technology. 2016;13(3):897906. [25] Huertas JI, Huertas ME, Díaz J. Assessing precision and accuracy of atmospheric emission inventories. International Journal of Environmental Science and Technology. 2012;9(2):195-202. [26] Noorpoor A, Rahman H. Application of AERMOD to local scale diffusion and dispersion modeling of air pollutants from cement factory stacks (Case study: Abyek Cement Factory). Pollution. 2015;1(4):417-26. [27] Jittra N, Pinthong N, Thepanondh S. Performance evaluation of AERMOD and CALPUFF air dispersion models in industrial complex area. Air, Soil and Water Research. 2015;8:87. [28] Nadoushan N, Mansouri N, Nezhadkurki F. ASSESSMENT OF AERMOD MODEL’S SENSITIVITY TO TERRAIN FEATURES FOR IDENTIFYING AIR POLLUTANTS RECEPTOR POINTS IN STEEL INDUSTRY. Journal of Fundamental and Applied Sciences. 2016;8(3S):1399-413. [29] Zou B, Wilson JG, Zhan FB, Zeng Y, Wu K. Spatialtemporal variations in regional ambient sulfur dioxide concentration and source-contribution analysis: A dispersion modeling approach. Atmospheric environment. 2011;45(28):4977-85. [30] Momeni I, Danehkar,A., Karimi, S, Khorasani, N,A. Dispersion modelling of SO2 pollution Emitted from Ramin Ahwaz power plant using AERMOD model. Human and Environment. 2011;9(3):3-8. [31] Samadi R, Nouri J, Karbassi AR, Arjomandi R. Developing a conceptual model for the environmental management of power plant wastes. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2018;40(2):134-41.

Files
IssueVol 3 No 2 (2018): Spring 2018 QRcode
SectionOriginal Research
Keywords
AERMOD emission modeling emission rate prediction fuel consumption GIS industrial Source

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Alizadeh Z, Hassanvand MS, Gholampour A. DEVELOPING A METHOD FOR POLLUTANT EMISSION RATE CAUSED BY FUEL CONSUMPTION FROM INDUSTRIAL TOWNS. JAPH. 2018;3(2):83 - 94.