• Sara Karami Atmospheric Science and Meteorological Research Center (ASMERC(, Tehran, Iran
  • Abbas Ranjbar Atmospheric Science and Meteorological Research Center (ASMERC(, Tehran, Iran
  • Amirhossein Nikfal Atmospheric Science and Meteorological Research Center (ASMERC(, Tehran, Iran
  • Faezeh Noori Atmospheric Science and Meteorological Research Center (ASMERC(, Tehran, Iran
  • Saviz Sehatkashani Atmospheric Science and Meteorological Research Center (ASMERC), Tehran, Iran
Keywords: Air pollution, WRF model, YUS scheme, boundary layer, LASAT Model.


Introduction: Nowadays, air pollution is one of the most important problems, leading to serious financial and human health concerns. On the 15th to 17th days of November, 2016 an intense air pollution episode occurred in Tehran, Iran.


Materials and methods: In this study, the meteorological data, pollutant concentration, and the data related to this severe air pollution episode, required to implement the model, besides, a brief account, pertinent to the configuration of atmospheric model WRF and air quality model LASAT is presented and certain meteorological quantity are studied.


Results: Statistical analysis indicates in this case study, negative wind speed anomaly and positive mean temperature anomaly related to the average 65 years for Novembers. The minimum visibility, is reported for the two days of November 15 and 16. Atmospheric vertical structure analysis shows the temperature inversion at 950 hPa height on November 14th, 2016, it causes stable atmospheric conditions.


Conclusions: Running WRF model, with YSU boundary layer scheme, shows that it can well simulate the atmospheric quantities, however, the 10 m wind speed has more errors among the quantities. In this case study LASAT Model is applied for simulation of different pollutant concentrations. The results indicate the underestimation of model by using the output of WRF as atmospheric model is not dependent on the meteorological data, whereas the reference error is driven either from the parameterization, or from the estimation of pollutants emission related to ground level.


Bidokhti AA, Shariepour Z, Sehatkashani S. Some resilient aspects of urban areas to air pollution and climate change, case study: Tehran, Iran. Scientia Iranica Transaction A, Civil Engineering. 2016;23(6):1994.

Brook RD, Franklin B, Cascio W, Hong Y, Howard G, Lipsett M, et al. Air pollution and cardiovascular disease: a statement for healthcare professionals from the Expert Panel on Population and Prevention Science of the American Heart Association. Circulation. 2004;109(21):2655-71.

Ruckerl R, Ibald-Mulli A, Koenig W, Schneider A, Woelke G, Cyrys J, et al. Air pollution and markers of inflammation and coagulation in patients with coronary heart disease. American journal of respiratory and critical care medicine. 2006;173(4):432-41.

O’Neill MS, Veves A, Sarnat JA, Zanobetti A, Gold DR, Economides PA, et al. Air pollution and inflammation in type 2 diabetes: a mechanism for susceptibility. Occupational and environmental medicine. 2007;64(6):373-9.

Mills NL, Donaldson K, Hadoke PW, Boon NA, MacNee W, Cassee FR, et al. Adverse cardiovascular effects of air pollution. Nature Reviews. Cardiology. 2009;6(1):36.

Samet JM, Speizer FE, Bishop Y, Spengler JD, Ferris Jr BG. The relationship between air pollution and emergency room visits in an industrial community. Journal of the Air Pollution Control Association. 1981;31(3):236-40.

Peters A, Dockery DW, Muller JE, Mittleman MA. Increased particulate air pollution and the triggering of myocardial infarction. Circulation. 2001;103(23):2810-5.

Hosseinpoor AR, Forouzanfar MH, Yunesian M, Asghari F, Naieni KH, Farhood D. Air pollution and hospitalization due to angina pectoris in Tehran, Iran: a time-series study. Environmental Research. 2005;99(1):126-31.

Kermani M, Dowlati M, Jonidi Jafari A, Rezaei Kalantari R, Sadat Sakhaei F. Effect of air pollution on the emergency admissions of cardiovascular and respiratory patients, using the air quality model: A study in Tehran, 2005-2014. Health in Emergencies and Disasters Quarterly. 2016;1(3):137-46.

Peng RD, Chang HH, Bell ML, McDermott A, Zeger SL, Samet JM, et al. Coarse particulate matter air pollution and hospital admissions for cardiovascular and respiratory diseases among Medicare patients. Jama. 2008;299(18):2172-9.

Dadbakhsh M, Khanjani N, Bahrampour A. Death from respiratory diseases and air pollutants in Shiraz, Iran (2006-2012). Journal of Environment Pollution and Human Health. 2015;1(3):4-11.

Samet JM, Dominici F, Curriero FC, Coursac I and Zeger SL. Fine particulate air pollution and mortality in 20 US cities, 1987–1994. New England journal of medicine. 2000;343(24):1742-1749.

ALIAKBARI BA, SHAREIPOUR Z. Upper air meteorological conditions of acute air pollution episodes (case study: Tehran). 2010.

Dayan U, Levy I. Relationship between synoptic‐scale atmospheric circulation and ozone concentrations over Israel. Journal of Geophysical Research: Atmospheres. 2002;107(D24).

Levy I, Mahrer Y, Dayan U. Coastal and synoptic recirculation affecting air pollutants dispersion: a numerical study. Atmospheric Environment. 2009;43(12):1991-9.

Kallos G, Kassomenos P, Pielke RA. Synoptic and mesoscale weather conditions during air pollution episodes in Athens, Greece. Transport and Diffusion in Turbulent Fields: Springer; 1993 .p. 163-84.

Halek F, Kianpour-Rad M, Kavousirahim A. Seasonal variation in ambient PM mass and number concentrations (case study: Tehran, Iran). Environmental monitoring and assessment. 2010;169(1-4):501-7.

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.

Scire JS, Strimaitis DG, Yamartino RJ. A user’s guide for the CALPUFF dispersion model. Earth Tech, Inc. Concord, MA. 2000;10.

Stein AF, Draxler RR, Rolph GD, Stunder BJ, Cohen MD and Ngan F. NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society. 2015; 96(12): 2059-2077.

Carruthers DJ, Holroyd RJ, Hunt JC, Weng WS, Robins AG, Apsley D, et al. UK-ADMS: A new approach to modelling dispersion in the earth's atmospheric boundary layer. Journal of wind engineering and industrial aerodynamics. 1994; 52:139-53.

Janicke U. Disperison model LASAT. Rference Book for Version 2.12. Janicke Consulting; 2003.

Safavi Y, Alijani B. Geographical agents analyzing in air pollution in Tehran. Geographical Research. 2006;58(1):106–151.

Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated‐k model for the longwave. Journal of Geophysical Research: Atmospheres. 1997;102(D14):16663-82.

Chou MD, Suarez MJ. An efficient thermal infrared radiation parameterization for use in general circulation models: Citeseer; 1994.

Noh Y, Cheon WG, Hong SY, Raasch S. Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data. Boundary-layer meteorology. 2003;107(2):401-27.

Hu XM, Nielsen-Gammon JW, Zhang F. Evaluation of three planetary boundary layer schemes in the WRF model. Journal of Applied Meteorology and Climatology. 2010;49(9):1831-44.

Hong SY, Noh Y, Dudhia J. A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly weather review. 2006;134(9):2318-41.

How to Cite
Original Research