Atmospheric gaussian dispersion modeling for central region of Iran

Paper Details

Research Paper 01/06/2014
Views (954)
current_issue_feature_image
publication_file

Atmospheric gaussian dispersion modeling for central region of Iran

Farzaneh Abdollahi, Victoria Ezzatian
J. Biodiv. & Environ. Sci. 4(6), 450-455, June 2014.
Copyright Statement: Copyright 2014; The Author(s).
License: CC BY-NC 4.0

Abstract

This paper describes the atmospheric dispersion modeling using radionuclides for a hypothesis plant in the central region of Iran. pollutants concentration is estimated by using a mathematical Gaussian plume model in Meso Scale based on 5-year meteorological data such as speed and direction wind, temperature, absolute humidity, stability classes and mixing layer height. This modeling is done first time in central region of Iran. Meteorological data has measured directly from automatic meteorology station in 2003 to 2008. The computation points are done up to 50 km in 16 geographical directions. The results indicate pollutants concentration is under the authorized limit and there is not any threat for people and environment.

P Demetri Lalas, CorradoF Ratto. 1996. modeling atmospheric flow fields.

Kallos George, Marina Astitha, Petros Katasfados. 2005. Air pollution Modeling in the Mediterranean Region: From Analysis of Episodes to forecasting, proceeding of the third international symposium on air quality management at urban and global scales.istanbul,turkey.

Kallos GV, Kotroni K, Lagouvardos A. Papadopoulos. 1999: On the transport of air pollutants from Europe to north Africa. Geophysical Research Letters 25(5), 619-622.

Kotroni V, Kallos G, Lagouvardos K, Varino M, Walko R. 1999: Numerical Ssimulations of the Meteorological and Dispersion Conditions During an air pollution episode over Athens, Greece.J.Appl. Meteorol 38, 432-447.

Schnelle B. 2000. Atmospheric dispersion modeling compliance guide”.

Slade David H. 1968, meteorology and atomic energy.

Stull, Ronald B. 1999: Meteorology for Scientists and Engineers 2nd ed., Brooks/Cole.Van Nostrand Reinhold, New York, 1990.

Wilks DS. 2006: Statistical Methods in the Atmospheric Sciences, 2nded Elsevier Inc.

Zannetti P. Air Pollution Modeling: Theories, Computational Methods and Available Software.

Related Articles

Value chain analysis and business model development of the Rizal mango growers agriculture cooperative

Macluven T. Gonzales, Diana O. Lim*, Karen Joy A. Abalos, J. Biodiv. & Environ. Sci. 29(1), 186-198, July 2026.

Susceptibility of Culex quinquefasciatus to insecticides in the industrial areas of Koumassi, Vridi, and Yopougon in Abidjan, Ivory Coast, during the rainy season

Gahapie Urbain Silue*, Koffi Ladji Yao, N’tamon Romeo N’tamon, Edmond Charles Basseli, Genevieve Lydie Acapovi-Yao, Yao Lucien Konan, J. Biodiv. & Environ. Sci. 29(1), 175-185, July 2026.

Optimization of maltodextrin as a bulking agent in mango (Mangifera indica) fruit bar: Physical, sensory, and nutritional evaluation

Macluven T. Gonzales*, Diana O. Lim, Jocelyn D. Tuliao, Hitler C. Dangatan, J. Biodiv. & Environ. Sci. 29(1), 150-163, July 2026.

An assessment of the effect of wind flow on the indoor thermal condition of some buildings in Benin City, Nigeria

Tashok, Yusuf Haruna*, J. Biodiv. & Environ. Sci. 29(1), 136-149, July 2026.

Analyzing roadside tree diversity reveals dominance, shadow diversity, and management archetypes: The case of Tagbilaran City, Bohol, Philippines

Johnuel Tac-on, Jesie Diola, Noel T. Lomosbog, Jairyl B. Oclarit, MA. Aneli A. Lanzaderas*, J. Biodiv. & Environ. Sci. 29(1), 122-135, July 2026.

Floristic diversity of major river systems in Zamboanga del Norte

Ma. Dulce C. Guillena*, Maria Rio A. Naguit, Ethel T. Cata-al, Tessie G. Pulido, J. Biodiv. & Environ. Sci. 29(1), 101-111, July 2026.