Monitoring Soil Contamination by Hydrocarbons and Heavy Metals in Parts of Basra Southern Iraq Using Remote Sensing and GIS Techniques

Abstract

The Sentinel-2B sensor was used to monitor oil spills using advanced techniques and methods. This study is considered one of the first local studies to use remote sensing techniques to watch oil spills and contaminated soil using an advanced support vector control machine with minimal noise. Algorithm Minimum Noise Fraction. The study area was on the main street near the oil depot in Al-Faw, located in southern Iraq. This study aims to use remote sensing techniques and geographic information systems to monitor the environment and find hydrocarbon pollution resulting from intentional and accidental oil spills from remote or large areas whose area is difficult to determine by traditional methods and access to this area. Surface soil samples were taken as an average of 4 from a polluted and uncontaminated area. Laboratory tests (PSD, Ph, EC, heavy metals, and TPH test) were performed on them. Based on the analysis of petroleum hydrocarbons, ENVI 5.3 and ArcGIS 10.8 were used in the study. the study area was polluted and toxic and needed to be treated. The study proved the success of remote sensing systems and geographic information. The monitoring of the environment and oil spill areas. It can be relied upon by using advanced remote sensing methods without needing to visit the site or rely on it in regions that cannot be accessed.