Applied Mathematics & Information Sciences

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Air pollution is a global issue that affects humans’ health and economic growth. In the field of meteorology, numerical models play an essential role in weather and air quality forecast. For more accurate prediction of pollutants concentrations in the atmosphere, an efficient parameterization of the planetary boundary layer is required. In this paper, performances of three different planetary boundary layer schemes were investigated through estimating PM10 pollutant mass concentration during a sand storm using the regional climate model. Wind speed and planetary boundary layer height were also evaluated to examine the consistency of the model. The simulated results were validated by comparing the estimated values to the observed and reanalysis data. The results showed that the model provided good forecast for the dust event. However, one scheme had been recommended for predicting the PM10 concentration.

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