Spectrum of Hydrocarbon Contaminated Soil in North-West Suez Gulf of Egypt

Mostafa Atwa, Aymanman Hamed, Asmaa Hassan, Fares Khedr
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Abstract

Oil spills are one of the major environmental challenges affecting urban coastal cities globally. A critical industrial area, known as El-Suez refining plant, located in the Suez city in the northwestern Gulf of Suez, was chosen as a case study. Therefore, this study aims to detect spatial-temporal contaminated soil from oil seepage events to understand the role of human activities and the physical condition of the study area. This was achieved using maximum likelihood classification, using multi-spectral satellite data of Sentinel-2 integrated with field sampling and previous studies on the same area. Analyzing Sentinel-2 data from 2015 to 2021 revealed a potential increase in contamination, coinciding with darker areas observed in the images. Additionally, spectral reflectance analysis confirmed the presence of hydrocarbons, with the 1700nm wavelength being the most reliable for detection. The resulting Land use Land cover (LU-LC) shows acceptable accuracy, with 83.33% overall and 80% for detecting contaminated soil, showcasing its potential for large-scale monitoring. The study successfully identified contaminated areas near pipelines and deactivated land farms, suggesting past bioremediation attempts. This study can be applied in similar areas to mitigate the oil spills from storage tanks and oil transfer pipelines, enhancing the environmental management strategy of oil pollution.
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埃及苏伊士湾西北部受碳氢化合物污染的土壤光谱
石油泄漏是影响全球沿海城市的主要环境挑战之一。本研究选择了位于苏伊士湾西北部苏伊士市的一个重要工业区(El-Suez 炼油厂)作为案例。因此,本研究旨在检测石油渗漏事件造成的时空污染土壤,以了解人类活动的作用和研究区域的物理条件。本研究采用最大似然分类法,利用哨兵-2 号多光谱卫星数据,并结合实地采样和以往对同一地区的研究,实现了这一目标。对哨兵-2 号卫星 2015 年至 2021 年的数据进行分析后发现,污染可能有所增加,这与图像中观察到的较暗区域相吻合。此外,光谱反射分析证实了碳氢化合物的存在,其中 1700nm 波长的检测最为可靠。结果显示,土地利用土地覆被 (LU-LC) 的准确率可以接受,总体准确率为 83.33%,检测受污染土壤的准确率为 80%,显示了其在大规模监测方面的潜力。该研究成功识别了管道和停用土地农场附近的污染区域,这表明过去曾尝试过生物修复。这项研究可应用于类似地区,以减少储油罐和输油管道的石油泄漏,从而加强石油污染的环境管理策略。
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8
审稿时长
6 weeks
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