Abstract

Air pollution susceptibility maps are important for planning and dealing with natural disasters in Kirkuk province such as Kirkuk study area. The present study uses Analytic hierarchy process (AHP) models to analyse the susceptibility of Kirkuk and its surrounding area to air pollution. Three data sources are used to create the air pollution inventory map, such as previous studies, field investigation and monitoring image. The satellite image used in this investigation is a monitoring image, which was downloaded from the USGS website and consists of 11 bands with temporal and spatial resolutions of 16 days and 10 meters respectively. Twelve factors of air pollution conditioning were studied in this case study to build Analytical Hierarchy Process (AHP) models to produce an air pollution assessment map. These factors include: aspect, slope, land use, elevation, gemi; NDVI; ndwi; ndmi, lai, savi, fvc. According to the AUC area under the curve, the result reveals that the model's disturbance level scale with AUC value of 0.6 has the maximum prediction accuracy of 65.416 percent and the accuracy area according to the method is 31.276. The pollution susceptibility maps generated by AHP produce an accurate prediction of the susceptibility of Kirkuk part to air pollution, which can be used as a tool for land use planning and disaster mitigation.