Investigation of smoke movement patterns from the Haur-Al-Azim wetland fire using a combination of MODIS imagery and the CALPUFF model

Haur-Al-Azim, an important ecosystem in the southwest of Iran, suffered numerous wildfires in 2018. This study aims to model the dispersal of smoke resulting from those wildfires. In order to achieve this, the emission rate of particulate matter was calculated utilizing MODIS products. The study made use of data from seven climate stations in Iran and Iraq, together with local ecological conditions and emission rates, to simulate 24-hour means of PM10 through the use of the CALMET/CALPUFF package model. The study found that on September 9, 2018, the highest emission rate was measure at 0.0024 g/m2/s. This resulted in more than 42700 individuals being exposed to PM10 concentrations that exceeded the standard. Integrating remote sensing data into an air pollution modeling system can be used as an identification method to asses air quality from a spatial and temporal perspective.