Applied Geo-Informatics Research Group, Department of Meteorology, COMSATS University Islamabad (CUI), Islamabad, Pakistan.
Applied Geo-Informatics Research Group, Department of Meteorology, COMSATS University Islamabad (CUI), Islamabad, Pakistan.
Mar Pollut Bull. 2021 Jan;162:111921. doi: 10.1016/j.marpolbul.2020.111921. Epub 2020 Dec 17.
Four oil spill events over the Indian Ocean including Chennai, Sharjah, Al Khiran and Mubarak Village are analyzed using Sentinel-1 satellite data. General National Oceanic and Atmospheric Administration (NOAA) Operational Modeling Environment (GNOME) model is utilized for oil spills trajectory production, whereas oil spills weathering processes are modeled using Automated Data Inquiry for Oil Spill (ADIOS). Synthetic Aperture Radar (SAR) based oil spill detection technique provided reliable results at the wind speed between 3 to 9 m/s for all events. Maximum oil spill movement (33 km) from the source point is observed in the Al Khiran, whereas evaporation rate of crude (degraded) oil is observed as high (low). The Near Real Time (NRT) detection of oil spill using SAR imagery needs high computational power, however, provides better results. This study concludes that SAR based oil spill detection is a cost-effective technique and can be utilized for mapping of oil spills.
利用 Sentinel-1 卫星数据对印度洋发生的四起溢油事件（包括钦奈、沙迦、阿尔希兰和穆巴拉克村）进行了分析。一般国家海洋和大气管理局（NOAA）业务建模环境（GNOME）模型用于生成溢油轨迹，而利用自动溢油数据查询（ADIOS）模型来模拟溢油风化过程。基于合成孔径雷达（SAR）的溢油检测技术在所有事件中，风速在 3 至 9 m/s 之间时提供了可靠的结果。在阿尔希兰，观测到溢油从源头点的最大移动距离（33 公里），而原油（降解）油的蒸发率则较高（低）。SAR 图像的近实时（NRT）溢油检测需要较高的计算能力，但可提供更好的结果。本研究得出结论，基于 SAR 的溢油检测是一种具有成本效益的技术，可用于溢油测绘。
