Relationship Between the Concentrations of Black Carbon and some Meteorological Parameters Over Iraq using GIS Techniques

Abstract

Abstract Black carbon is a significant cause of global warming, and anthropogenic activity along with weather conditions affects its long-term variability. Numerous regional and socioeconomic factors have influenced the distribution of Black Carbon (BC) concentration. In this work, monthly black carbon remote sensing data were used to interpolate the yearly regional distributions of black carbon concentrations in order to investigate the link between black carbon concentrations and climatic factors and their spatial variance in Iraq during the period (1980 to 2022). The correlation coefficient between black carbon and several climatic variables, such as precipitation, temperature, wind speed, and pressure, has been calculated using the Pearson correlation coefficient model. The findings also revealed that pressure has the strongest relationship with BC, with substantial positive correlations of more than 0.7 extending from the northeast through the centre to the extreme southeast. It becomes evident to us that the relationships between small particles and meteorological variables vary depending on the areas, the topography, the local climate, human and natural variances, and weather variations.