پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 748 |
| تعداد مقالات | 7,122 |
| تعداد مشاهده مقاله | 10,274,935 |
| تعداد دریافت فایل اصل مقاله | 6,910,519 |
Gaseous air pollutants dispersion emitted from point and line sources by coupling WRF-AERMOD models (Case study: Lowshan, Guilan Province, Iran) | ||
| Caspian Journal of Environmental Sciences | ||
| دوره 19، شماره 4، دی 2021، صفحه 649-660 اصل مقاله (1.32 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22124/cjes.2021.5138 | ||
| نویسندگان | ||
| Sima Farivar Ghaziani1؛ Ali Ahmadi Orkomi* 1؛ Mohammad Ali Rajabi2 | ||
| 1Department of Environmental Sciences, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Guilan, Iran | ||
| 2Department of Environmental Engineering, Faculty of Environment, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| The cement factories in urban areas can affect the air quality of cities due to the variety of pollutants emitted from cement production processes. In the present study, the impacts of the Khazar cement factory and two transportation axes between Guilan and Qazvin provinces were investigated on the air quality of Lowshan in Guilan Province, Iran in 2019. Due to the lack of suitable meteorological data for dispersion modeling, the WRF model was used to predict the meteorological parameters. The pollutants dispersion modeling was conducted by AERMOD software and the accuracy of results was confirmed by field measurements of NO2 obtained by passive samplers. The CO and NO2 dispersion modeling results showed that the air quality of Lowshan is in an acceptable situation compared to the ambient air quality standards. So that, the maximum one-hour concentration of NO2 in most residential areas was lower than the ambient standard, and only in small parts of the areas close to line sources, the concentration value was close to the standard limits. The maximum value of annually-averaged concentration of NO2 and the maximum one-hour concentration of CO were 17 ppb and 2.5 ppm, respectively, which are much lower than the clean air standards. Further investigation showed that in the cold weather seasons, due to the less vertical displacement of air and the decrease in the boundary layer height, the concentration of pollutants in the urban environment is higher than that in the warm weather seasons. Considering the night and day time wind roses showed that despite the existence of valley-mountain structure in the city, the air quality of the city is not affected by the mountain and valley breezes and also night and day wind roses do not follow the trend of these breezes. | ||
| کلیدواژه‌ها | ||
| cement factory؛ air pollutant؛ passive samplers؛ WRF؛ AERMOD | ||
| مراجع | ||
|
Afzali, A, Rashid, M, Afzali, M & Younesi, V 2017, Prediction of air pollutants concentrations from multiple sources using AERMOD coupled with WRF prognostic model. Journal of Cleaner Production, 166: 1216-1225.
Azadi, M, Shirgholami, MR, Hajjam, S & Sahraian, F 2012, WRF model output post processing for daily precipitation over Iran. Iran-Water Resources Research, 7: 71-81(In Persian).
Adeniran, JA, Yusuf, RO, Fakinle, BS & Sonibare, JA 2019, Air quality assessment and modelling of pollutants emission from a major cement plant complex in Nigeria. Atmospheric Pollution Research, 10: 257-266.
Almasi, A, Asadi, F, Mohamadi, M, Farhadi, F, Atafar, Z, Khamutian, R & Mohamadi, A 2013, Survey of pollutant emissions from stack of Saman cement factory of Kermanshah city from year 2011 to 2012. Journal of Health in The Field, 1(2) (In Persian).
Atabi, F, Jafarigol, F, Momeni, MR, Salimian, M & Bahmannia, GR 2014, Dispersion modeling of CO with AERMOD in the South Pars Fourth Gas Refinery. Journal of Environmental Health Engineering, 1(4) (In Persian).
Baroutian, S, Mohebbi, A & Goharrizi, AS 2006, Measuring and modeling particulate dispersion: A case study of Kerman Cement Plant. Hazardous Materials,136: 468-474.
Barjoee, SS, Azimzadeh, HR, kuchakzadeh, MR, Arani, AM & Sodaiezadeh, H 2019, Dispersion and health risk assessment of PM 10 emitted from the stacks of a ceramic and tile industry in Ardakan, Yazd, Iran, using the AERMOD model. Iranian South Medical Journal, 22: 317-332 (In Persian).
Boudaghpour, S & Jadidi, A 2009, Investigation of the effect of outlet pollutants of cement production industries around Tehran and approaches to control and eliminate pollutants. International Journal of Physical Sciences, 4(9): 486-495.
Chang, JC & Hanna, SR 2004, Air quality performance evaluation. Meteorology and Atmospheric Physics, 87: 167-196.
EPA 2004, User’s guide for the AMS/EPA regulatory model. Washington DC: United States Environmental Protection Agency.
Fakinle, BS, Oki, AA & Sonibare, JA 2018, Dispersion modelling of air emission from all cement plants in Nigeria. International Journal of Mechanical Engineering and Technology, 9: 1155-1171.
Goudarzi, G, Geravandi, S, Ahmadi Angali, K, Neisi, AK, Yari, AR, Dobaradaran, S & Mohammadi, MJ 2016, Modeling of sulfur dioxide emissions in Ahvaz City, southwest of Iran during 2013. Caspian Journal of Environmental Sciences, 14: 205-213.
GPSIS 2018, Management and planning organization of Guilan Province. Statistical information system of Guilan Province. Guilan Province Statistical Information System, http://sdi.mpogl.ir/, (In Persian).
Hangartner, M, Burri, P & Monn, C 1989, Passive sampling of nitrogen dioxide, sulfur dioxide and ozone in ambient air. Proceedings of the 8th World Clean Air Congress, Man and His Ecosystem, 681-686.
Hanna, SR, Strimaitis, DG & Chang, JC 1991, Evaluation of fourteen hazardous gas models with ammonia and hydrogen fluoride field data. Journal of Hazardous Materials, 26: 127-158.
Hanna, SR, Chang, JC & Strimaitis, DG 1993, Hazardous gas model evaluation with field observations. Atmospheric Environment, 27A: 2265-2285.
Holmes, NS & Morawska, L 2006, A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available. Atmospheric Environment, 40: 5902-5928.
Honsa, JD & McIntyre, DA, 2003, ISO 17025: Practical benefits of implementing a quality system. Journal of AOAC International, 86: 1038-1044.
Jayadipraja, EA, Daud, A, Assegaf, AH & Maming, M 2016, Applying spatial analysis tools in public health: the use of AERMOD in modelling the emission in modelling the emission dispersion of SO2 and NO2 to identify area exposed to health risks. Public Health of Indonesia, 2: 20-27.
Khaniabadi, YO, Emaeili, S, Goudarzi, GG, Rashidi, R & Khoshgoftar, M 2018, Assessment of Particulate Matter Dispersion Using Gaussian Plume Model: A Case Study of Doroud Cement Factory. Journal of Knowledge & Health, 12: 16-25 (In Persian).
Kumar, A, Patil, RS, Dikshit, AK & Kumar, R 2017, Application of AERMOD for short-term air quality prediction with forecasted meteorology using WRF model. Clean Technologies and Environmental Policy, 19: 1955-1965
Marro, M, Salizzoni, P, Cierco, FX, Korsakissok, I, Danzi, E & Soulhac, L 2014, Plume rise and spread in buoyant releases from elevated sources in the lower atmosphere. Environmental Fluid Mechanics, 14: 201-219.
Masoudi, M 2014, Status and prediction of ozone as an air pollutant in Ahvaz City, Iran. Caspian Journal of Environmental Science, 12: 215-224.
Mirrezaei, MA & Orkomi AA 2020, Gas flares contribution in total health risk assessment of BTEX in Asalouyeh, Iran. Process Safety and Environmental Protection, 137: 223-237.
Mishra, AK, Jain, MK & Dash, SK 2019, Ambient air quality and indexing with reference to suspended particulate matter and gaseous pollutants around a cement plant in OCL India Limited, Rajgangpur, Odisha, India. Current Science, 116(11).
Moein, M, khebri, Z & Shamsaei, S 2018, A Study of Sensitivity of AERMOD Model in Relation to Physical Factors of Stack. Journal of Research in Environmental Health, 4(3): 185-193(In Persian).
Monn, C & Hangartner, MJET 1996, Passive sampling of aromatic volatile organic compounds (VOC) in ambient air in Switzerland. Environmental Technology, 17: 301-307.
Orkomi, AA, Kamkar, A & Aghajani, Z 2019, Spatial and temporal variations of air pollutants from motor vehicles using MOVES software: case study of Beheshti and Modarres boulevards in Rasht, Iran. Journal of Health and Environment, 12(2): 203-2016 (In Persian).
Ramavandi, B, Moghaddam, MA, Shahheidar, N & Bighami, M 2016, Estimation of volatile organic compounds emissions from the fuel storage tanks using TANKS model and its distribution modeling by AERMOD model. Journal of Sabzevar University of Medical Sciences, 23: 261 (In Persian).
Salem, AA, Soliman, AA & El-Haty, IA 2009, Determination of nitrogen dioxide, sulfur dioxide, ozone, and ammonia in ambient air using the passive sampling method associated with ion chromatographic and potentiometric analyses. Air Quality, Atmosphere & Health, 2: 133-145.
Seangkiatiyuth, K, Surapipith, V, Tantrakarnapa, K & Lothongkum, AW 2011, Application of the AERMOD modeling system for environmental impact assessment of NO2 emissions from a cement complex. Journal of Environmental Sciences, 23: 931-940.
Vallamsundar, S & Lin, J 2011, Overview of US EPA new generation emission model: MOVES. International Journal on Transportation and Urban Development, 1: 39-43.
Zhang, S, Wu, Y, Huang, R, Wang, J, Yan, H, Zheng, Y & Hao, J 2016, High-resolution simulation of link-level vehicle emissions and concentrations for air pollutants in a traffic-populated eastern Asian city. Atmospheric Chemistry and Physics, 16: 9965-9981. | ||
|
آمار تعداد مشاهده مقاله: 1,026 تعداد دریافت فایل اصل مقاله: 1,054 |
||