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ABSTRACTOil spill forecast modelling is typically used immediately after a spill to predict oil dispersal and promote mobilisation of more effective response operations. The aim of this work was to map oil dispersal after the grounding of the MV Rena on Astrolabe Reef and to verify the results against observations. Model predictions were broadly consistent with observed distribution of oil contamination. However, some hot spots of oil accumulation, likely due to surf-zone and rip current circulation, were not well represented. Additionally, the model was run with 81 differing wind conditions to show that the events occurring during the grounding represented the typical likely behaviour of an oil spill on Astrolabe Reef. Oil dispersal was highly dependent on prevailing wind patterns; more accurate prediction would require better observations of local wind patterns. However, comparison of predictions with observations indicated that the GNOME model was an effective low-cost approach. 相似文献
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《Marine pollution bulletin》2013,68(1-2):107-120
Coastal benthic habitats are usually in a state of continuous recolonization as a consequence of natural disturbances or human activities. Recolonization patterns can be strongly affected by the quality of the sediment. We evaluated herein the macrobenthic recolonization of organically enriched sediments through a manipulative experiment involving reciprocal transplants between contaminated and non-contaminated intertidal areas. Regardless of the experimental treatments, the density of the polychaete Capitella sp. was extremely high in the contaminated area as well as the density of the gastropod Cylichna sp. in the non-contaminated area. We rejected the hypothesis that differences in sediment quality would determine macrofaunal recolonization at least in the considered scales of space in meters and time in weeks. The recolonization process in a subtropical estuarine environment was strongly dependent on the migration of adults present in the sediments adjacent to the experimental units. 相似文献
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Zengan Deng Ting Yu Suixiang Shi Jiye Jin Xiaoyi Jiang Linchong Kang 《Marine Geodesy》2013,36(4):351-364
Sixteen numerical experiments are conducted using the General NOAA Operational Modeling Environment (GNOME) to numerically study the oil spill trajectory in the Bohai Sea, China, for the purpose of providing information for the oil cleanup and disaster mitigation. High resolution coastline and topography data investigated by China's 908 Program are used to accurately describe the regional geographic feature of the Bohai Sea. Currents and waves required by GNOME are generated by the Hybrid Coordinate Ocean Model and Simulating Wave Nearshore, respectively. Experimental results show that oil spilled in different seasons and at different locations will result in completely different spilling trajectories, traveling distances, and polluting areas. Knowing that information comprehensively is vital to pollution control. Another important goal of this work is to provide users with simulated oil spill trajectory information through China Digital Ocean Prototype System (CDOPS), a grand marine information platform for managing, displaying, and public sharing of the data investigated by the China 908 Program. Users can obtain the trajectory, spreading, and potential impact area of the spilled oil through the oil spill module in CDOPS. 相似文献
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NOAA的GNOME溢油模型在湄洲湾的应用 总被引：2，自引：0，他引：2
在湄洲湾试用GNOME溢油模型模拟溢油扩散．先用EFDC建立潮流场,并选用主导风形成常风场,一并输入GNOME建立起溢油模型,模拟涨、落潮过程叠加不同风况下敏感海域的溢油扩散．模拟结果：初始溢油量为100t,扩散到第6小时,8种不同条件下挥发油量都为7．7t,附岸和漂浮油量和为92．3t,其中漂浮油量为6．4～92．0t,相应附岸油量为85．9～0．3t;溢油扩散最大范围为1．3～30．0km。,90％置信区间为2．0～56．0km。,最大距离为1．2～14．6km;与前人模拟溢油扩散结果相比基本一致．经分析,溢油扩散主要受3个方面影响：（1）岸线走向：当岸线靠近油膜漂移的路线时,大量油膜附着在岸上,扩散范围较小;（2）风况与流场关系：如果两者方向一致,油膜会扩散较远;（3）风区长度：风区越长,油膜扩散范围越大．总之,建立GNOME溢油模型较好地模拟了溢油扩散趋势,对溢油应急响应具有参考作用． 相似文献
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Cheng Y Li X Xu Q Garcia-Pineda O Andersen OB Pichel WG 《Marine pollution bulletin》2011,62(2):350-363
Oil spills are a major contributor to marine pollution. The objective of this work is to simulate the oil spill trajectory of oil released from a pipeline leaking in the Gulf of Mexico with the GNOME (General NOAA Operational Modeling Environment) model. The model was developed by NOAA (National Oceanic and Atmospheric Administration) to investigate the effects of different pollutants and environmental conditions on trajectory results. Also, a Texture-Classifying Neural Network Algorithm (TCNNA) was used to delineate ocean oil slicks from synthetic aperture radar (SAR) observations. During the simulation, ocean currents from NCOM (Navy Coastal Ocean Model) outputs and surface wind data measured by an NDBC (National Data Buoy Center) buoy are used to drive the GNOME model. The results show good agreement between the simulated trajectory of the oil spill and synchronous observations from the European ENVISAT ASAR (Advanced Synthetic Aperture Radar) and the Japanese ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array L-band Synthetic Aperture Radar) images. Based on experience with past marine oil spills, about 63.0% of the oil will float and 18.5% of the oil will evaporate and disperse. In addition, the effects from uncertainty of ocean currents and the diffusion coefficient on the trajectory results are also studied. 相似文献
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