Determination of PM10 emission rate in Vacant lands using CALPUFF dispersion model

Document Type : Original Article


1 Faculty of Natural Resources and Environment,, Science and Research Branch, Islamic Azad University, Tehran,Iran

2 Department of Environmental Technologies, Environmental Sciences Research Institute,, Shahid Beheshti University, Tehran, Iran


Introduction: Dust is one of the most important atmospheric phenomena It happens in spring and summer in many regions, including Iran and neighboring countries And it is one of the important challenges of the 21st century And this phenomenon in the global scale of arid and semi-arid regions and due to climate change, vegetation change, progressive processes of soil erosion and disturbances resulting from them, the sensitivity of the regions to rapid erosion which will have important reactions on the climate of the region and desertification. The purpose of this research is to determine the intensity of the pollution production rate of suspended particles less than 10 microns using modeling and comparing the output results with the measured data. and changing the intensity of the pollution production rate based on the measured data and calculating the formula for determining the PM10 emission rate It is caused by the dust incident in Ahvaz city.
Material and methods: Ahvaz metropolis considering the complex topography In a dry area and in the vicinity of the main and primary sources of dust, it has special conditions In this study, the concentration of suspended particles less than 10 microns was investigated on the 15th of June 2019. On this date, the maximum PM10 concentration in Ahvaz city was 1422 micrograms per cubic meter on June 15. that the concentration of these particles was more than 9 times the standard concentration of free air of the Environmental Protection Organization of Iran (150 micrograms per cubic meter). From the concentration data of the environmental protection organization measurement station and surface meteorological and upper atmosphere data of Ahvaz station have been used to implement CALPUFF model and concentration outputs
Results and discussion: By studying library documents, the basic calculation formula for determining the emission rate of PM10 pollutant has been estimated, and then it has been compared with the data of the monitoring stations located in the city of Ahvaz, and by modifying the calculation formula and implementing the CALPUFF diffusion and dispersion model, it has been calculated according to the actual concentration recorded by the online station. The monitoring of the Environmental Protection Organization was reached and finally the emission rate of suspended particles less than 10 microns from the centers around the city of Ahvaz was determined.
Conclusion: The emission rate of PM10 pollutant has been obtained using the calculation formula and the implementation of the CALPUFF diffusion and dispersion model, which is important in the prediction of the dust phenomenon and provides the possibility of calculating the amount of production and the movement path of the particles. He thought about taking the necessary decisions to reduce the possible damages caused by this phenomenon. And using the combination of measurement and modeling, he achieved a methodology to calculate PM10 dust emissions from city centers.


Alizadeh-Choobari, O., Zawar-Reza, P., Sturman, A. (2013). Low level jet intensification by mineral dust aerosols. Ann. Geophys. 31, 625–632.
Buchani, M.H. and Fazeli, D. (2012). Environmental Challenges and Their Consequences and Its Consequences in Western Iran. Quarterly Journal of Policy Making, 2 (3), 125-145.
Bahiraei, H., Ayazi, M. H., Rajaei, M. and Ahmadi, H. (2011). Synoptic Statistical Analysis of Dust Occurrence in Ilam Province. Journal of New Attitudes in Human Geography, 4, 47-67.
Crosbie, E., Sorooshian, A., Monfared, N.A., Shingler, T., Esmaili, O., 2014. A multi-year aerosol characterization for the greater tehran area using satellite, surface, and modeling data. Atmosphere 5(2), 178-197.
Chakravarty, K., Vincent, V., Vellore, R., Srivastava, AK., Rastogi, A., Soni, VK. (2021). Revisiting Andhi in northern India: A case study of severe dust-storm over the urban megacity of New Delhi. Urban Climate Volume 37, 100825.
CALPUFF, 2000. Dispersion Model (Version 5) A User’s Guide. Earth Tech Inc, Concord, MA, USA.
Cao, HuiAmiraslani, FarshadLiu, JianZhou, Na. (2015)Science of the Total Environment Identi fi cation of dust storm source areas in West Asia using multiple environmental datasets. 10.1016/j.scitotenv.2014.09.025
Goudie, A. (2009). Dust storms: Recent developments. Journal of Environmental Management 90, 89–94.
Goodarzi, M., Hosseini, S. A. and Ahmadi, H. (2018). Investigation of Time Distribution of Days Associated with Dust in West and Southwestern Iran. Iranian Watershed Management Science, 11(39), 1-10.
Hojati, S., Khademi, H., Faz Cano, A., and Landi, A. (2012). Characteristics of dust deposited along a transect between central Iran and Zagros Mountains. Catena, 88, 27-36.
Iraji, F., Memarian, MH., Joghataei, M., Ghafarian Malamiri, HR. (2021). Determining the source of dust storms with use of coupling WRF and HYSPLIT models: A case study of Yazd province in central desert of Iran. Dynamics of Atmospheres and Oceans Volume 93, 101197.
Jish Prakash, P., Stenchikov, G., Kalenderski, S., Osipov, S., Bangalath, H. (2015). The impact of dust storms on the Arabian Peninsula and the Red Sea. Atmos. Chem. Phys. 15, 199–222.
Jalali Farahani, V., Arhami, M., (2019). Contribution of Iraqi and Syrian dust storms on particulate matter concentration during a dust storm episode in receptor cities: Case study of Tehran. tmospheric Environment, AEA 117163.
Karami, S., Hossein Hamzeh, N., Kaskaoutis, D., Rashki, A., Alam, K., Ranjbar, A. (2021).  Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin. Aeolian Research 50, 100679.
Kontos, S., Kakosimos, K., Liora, M., Poupkou, A., Melas, D. (2021).  Towards a regional dust modeling system in the central Middle East: Evaluation, uncertainties and recommendations. Atmospheric Environment 246, 118160.
Meng, L., Yang, X., Zhao, T., He, Q., Lu, H., Mamtimin, A., Huo, W., Yang, F., Liu, C. (2019). Modeling study on three-dimensional distribution of dust aerosols during a dust storm over the Tarim Basin, Northwest China. Atmospheric Research 218, 285–295.
Mohammadpour, K., Sciortino, M., Saligheh, M., Raziei, T., Darvishi Boloorani, A. (2021). Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran. Atmos. Res. 249, 105322.
Moradi, P., Elmizadeh, H., (2012). The phenomenon of dust and its effects on health and the environment, with emphasis on state khozestan. National Conference on Air Flow and Pollution. University of Tehran, 14 ~ 15 November 2012. (In Persian with English abstract).
Nabavi, S.O., Haimberger, L., Samimi, C. (2017). Sensitivity of WRF-Chem predictions to dust source function specification in West Asia. Aeol. Res. 24, 115–131.
Perez, L., Tobías, A., Querol, X., Pey, J., Alastuey, A., Díaz, J., Sunyer, J. 2012. Saharan dust, particulate matter and cause-specific mortality: a case–crossover study in Barcelona (Spain). Environ. Int. 48, 150–155.
Pulugurtha, S., James, D. (2006). Estimating windblown PM-10 emissions from vacant urban land using GIS. Journal of Hazardous Materials 132, 47–57.
Rashki, A., Middleton, N.J., Goudie, A.S. (2021). Dust storms in Iran – Distribution, causes, frequencies and impacts. Aeol. Res. 48, 100655.
Ravi, s. and Bresheares, D.D, Huxman, T.E., D’odorico, P., (2010), “Land Degradation in Drylands: Interactions Among Hydrologic-Aeolian Erosion and Vegetation Dynamics”, Geomorphology 116, pp 236-245.
Salmabadi, H., Khalidy, R., Saeedi, M. (2020). Transport routes and potential source regions of the Middle Eastern dust over Ahvaz during 2005–2017. Journal Pre-proof, S0169-8095(19)31453-X.
Turtos Carbonell, L., Capote Mastrapa, G., Fonseca Rodriguez, Y., Alvarez Escudero, L., Sanchez Gacita, M., Bezanilla Morlot, A., Borrajero Montejo, M., Meneses Ruiz, E., Pire Rivas, S. (2013). Assessment of the Weather Research and Forecasting model implementation in Cuba addressed to diagnostic air quality modeling. Atmospheric Pollution Research 4 (2013) 64‐74.
Tsiouri, V., Kakosimos, K.E., Kumar, P., 2015. Concentrations, sources and exposure risks associated with particulate matter in the Middle East Area a review. Air Quality, Atmosphere & Health 8, 67–80.
Zoljoodi M., Didevarasl A., Ranjbar Saadatabadi A. (2013). Dust Events in the Western Parts of Iran and the Relationship with Drought Expansion over the Dust-Source Areas in Iraq and Syria. Atmospheric and Climate Sciences, 3, 321-336.