Shoreline oiling from the Deepwater Horizon oil spill Marine Pollution Bulletin

We build on previous work to construct a comprehensive database of shoreline oiling exposure from the Deepwater Horizon (DWH) spill by compiling field and remotely-sensed datasets to support oil exposure and injury quantification. We compiled a spatial database of shoreline segments with attributes summarizing habitat, oiling category and timeline. We present new simplified oil exposure classes for both beaches and coastal wetland habitats derived from this database integrating both intensity and persistence of oiling on the shoreline over time. We document oiling along 2113 km out of 9545 km of surveyed shoreline, an increase of 19% from previously published estimates and representing the largest marine oil spill in history by length of shoreline oiled. These data may be used to generate maps and calculate summary statistics to assist in quantifying and understanding the scope, extent, and spatial distribution of shoreline oil exposure as a result of the DWH incident. (C) 2016 The Authors. Published by Elsevier Ltd.

本研究基于前期工作成果，通过整合实地观测与遥感数据集，构建了一套覆盖深水地平线（Deepwater Horizon, DWH）溢油事故的岸线油类暴露综合数据库，用于支撑油类暴露与生态损伤量化研究。本研究搭建了岸线分段空间数据库，其属性涵盖生境类型、油污类别与时间序列等核心信息。基于该数据库，本研究整合岸线油污随时间变化的强度与持续性特征，提出了适用于海滩与滨海湿地生境的简化油类暴露分级标准。经统计，本次调研的9545 km岸线中，2113 km岸线存在油污现象，较此前公开的估算结果提升19%；按受油污岸线长度计算，本次溢油为历史上规模最大的海上溢油事件。本数据集可用于生成可视化地图与计算统计汇总指标，助力量化并解析DWH溢油事件引发的岸线油类暴露的范围、规模与空间分布特征。© 2016 作者群体，由爱思唯尔（Elsevier Ltd.）出版。