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1.
《中国海洋湖沼学报》2016,(1)
Based on a Lagrangian integral technique and Lagrangian particle-tracking technique,a numerical model was developed to simulate the underwater transport of oil from a deepwater spill. This model comprises two submodels: a plume dynamics model and an advection-diffusion model. The former is used to simulate the stages dominated by the initial jet momentum and plume buoyancy of the spilled oil,while the latter is used to simulate the stage dominated by the ambient current and turbulence. The model validity was verified through comparisons of the model predictions with experimental data from several laboratory flume experiments and a field experiment. To demonstrate the capability of the model further,it was applied to the simulation of a hypothetical oil spill occurring at the seabed of a deepwater oil/gas field in the South China Sea. The results of the simulation would be useful for contingency planning with regard to the emergency response to an underwater oil spill. 相似文献
2.
To the potential oil-spill risk caused by offshore pipeline more attention has been paid after the Dalian oil spill incident from oil-pipeline explosion. Since then an issue about how to prevent and control the sudden oil-spill from the offshore pipeline has been raised. In this paper, we proposed an optimized model to analyze the main causes （probability） of spill and the consequence with the fuzzy comprehensive assessment model. Considering the complicated assessment process for oil-spill, the assessment factor system involving the spill probability and consequence was established based on the operative manual and statistic leakage/damage data of offshore pipeline in order to estimate the integrated spill risk score automatically. The evaluated factors of spill probability could be grouped into five aspects：corrosion, fatigue, national damage, third party, and operational fault;the consequence evaluated factors of spill included hazard of oil and impact-controlling capability. With some modifications based on experts’ opinions, each of the evaluated factors in our work was developed with a relative weight and evaluation criterion. A test example for an offshore pipe-line in the Bohai waters was described to show how the model can be used for an actual case in more detail. By using the oil-spill risk assessment model, it is easy to determine the risk level associated with the ongoing activity and management level and hence to take the risk mitigation action immediately. 相似文献
3.
根据海上溢油试验结果，结合20a来对海上溢油事故的观察结果分析了油类入海后漂流和扩散过程。经分析认为1）海面油类漂流的速度和方向取决于风和表层海流的速度和方向，海面油类漂流的速度和方向基本符合UO=UC+ζW和D=C 相似文献
4.
《中国海洋湖沼学报》2021,(4)
Marine oil spills are among the most signifi cant sources of marine pollution. Synthetic aperture radar(SAR) has been used to improve oil spill observations because of its advantages in oil spill detection and identifi cation. However, speckle noise, weak boundaries, and intensity inhomogeneity often exist in the oil spill regions of SAR imagery, which will seriously aff ect the accurate identifi cation of oil spills. To enhance marine oil spill segmentation of SAR images, a fast, edge-preserving framework based on the distance-regularized level set evolution(DRLSE) model was proposed. Specifi cally, a bilateral fi lter penalty term is designed and incorporated into the DRLSE energy function(BF-DRLSE) to preserve the edges of oil spills, and an adaptive initial box boundary was selected for the DRLSE model to reduce the operation time complexity. Two sets of RadarSat-2 SAR data were used to test the proposed method. The experimental results indicate that the bilateral filtering scheme incorporated into the energy function during level set evolution improved the stability of level set evolution. Compared with other methods, the proposed improved BF-DRLSE algorithm displayed a higher overall segmentation accuracy(97.83%). In addition, using an appropriate initial box boundary for the DRLSE method accelerated the global search process, improved the accuracy of oil spill segmentation, and reduced computational time. Therefore, the results suggest that the proposed framework is eff ective and applicable for marine oil spill segmentation. 相似文献
5.
通过对比不同时段的MODIS和HJ-1卫星数据,监测墨西哥湾漏油面积变化与走向趋势,结果显示该法监测大面积溢油比较有效,可为漏油清理提供参考,并建议利用遥感手段对我省及南海海域类似海洋灾害进行实时监测。 相似文献
6.
随着海上石油运输业和海洋石油工业的迅速发展,海上溢油事故频繁发生,造成了巨大的生态和经济上的损失,因此,实时监测溢油信息对灾害防控具有重要意义。本文基于多源SAR影像数据,开展了溢油遥感监测研究,构建了基于GIS的海洋溢油业务化监测系统。系统基于GDAL对原始数据进行解析,实现影像输入和几何校正等处理;在此基础上,封装多尺度图像分割算法和灰度对比度特征提取算法,对SAR影像数据进行分块、分割、溢油识别、合并及参数赋值等自动化处理,实现溢油信息提取的一键化处理;面向溢油监测应用需求,制作各类标准化产品,自动添加制图整饰要素、影像参数、溢油面积和溢油源等各类信息,并实时生成专题快报。 相似文献
7.
The estimation of oil spill coverage is an important part of monitoring of oil spills at sea.The spatial resolution of images collected by airborne hyper-spectral remote sensing limits both the detection of oil spills and the accuracy of estimates of their size.We consider at-sea oil spills with zonal distribution in this paper and improve the traditional independent component analysis algorithm.For each independent component we added two constraint conditions:non-negativity and constant sum.We use priority weighting by higher-order statistics,and then the spectral angle match method to overcome the order nondeterminacy.By these steps,endmembers can be extracted and abundance quantified simultaneously.To examine the coverage of a real oil spill and correct our estimate,a simulation experiment and a real experiment were designed using the algorithm described above.The result indicated that,for the simulation data,the abundance estimation error is 2.52% and minimum root mean square error of the reconstructed image is 0.030 6.We estimated the oil spill rate and area based on eight hyper-spectral remote sensing images collected by an airborne survey of Shandong Changdao in 2011.The total oil spill area was 0.224 km~2,and the oil spill rate was 22.89%.The method we demonstrate in this paper can be used for the automatic monitoring of oil spill coverage rates.It also allows the accurate estimation of the oil spill area. 相似文献
8.
鉴于仅依赖光谱特征或纹理特征的传统溢油检测算法的信息检测精度较低的问题,本文提出了一种新的光学遥感数据的谱纹海面溢油检测方法。谱是光学遥感数据的油膜敏感波段图像,纹是利用灰度共生矩阵计算获得的图像纹理特征,将这些特征相结合,引入支持向量机方法（Support Vector Machine,SVM）,建立谱纹海面溢油检测模型。本文以2006年渤海溢油事故为例,利用中等分辨率成像光谱仪MODIS的光学遥感数据对溢油进行检测,MODIS的第2波段为油膜敏感波段,所以,第2波段图像即为选取的谱特征,经过对各个纹理特征的分析得到,均值、对比和相关3个特征量可作为溢油提取的纹理特征。检测结果的总体精度达91.23%。试验结果表明,将MODIS图像的光谱特征和纹理特征相结合,可有效地对渤海海洋油膜信息进行检测,并具有很强的抑制噪声能力。 相似文献
9.
Oil spill models can effectively simulate the trajectories and fate of oil slicks, which is an essential element in contingency planning and effective response strategies prepared for oil spill accidents. However, when applied to offshore areas such as the Bohai Sea, the trajectories and fate of oil slicks would be affected by time-varying factors in a regional scale, which are assumed to be constant in most of the present models. In fact, these factors in offshore regions show much more variation over time than in the deep sea, due to offshore bathymetric and climatic characteristics. In this paper, the challenge of parameterizing these offshore factors is tackled. The remote sensing data of the region are used to analyze the modification of wind-induced drift factors, and a well-suited solution is established in parameter correction mechanism for oil spill models. The novelty of the algorithm is the self-adaptive modification mechanism of the drift factors derived from the remote sensing data for the targeted sea region, in respect to empirical constants in the present models. Considering this situation, a new regional oil spill model (i4OilSpill) for the Bohai Sea is developed, which can simulate oil transformation and fate processes by Eulerian-Lagrangian methodology. The forecasting accuracy of the proposed model is proven by the validation results in the comparison between model simulation and subsequent satellite observations on the Penglai 19-3 oil spill accident. The performance of the model parameter correction mechanism is evaluated by comparing with the real spilled oil position extracted from ASAR images. 相似文献
10.
《中国海洋湖沼学报》2019,(6)
In this study, an operational forecasting system of sea dike risk in the southern Zhejiang Province, South China was developed based on a coupled storm-surge and wave model. This forecasting system is important because of the high cost of storm-surge damage and the need for rapid emergency planning. A comparison with astronomical tides in 2016 and the validation of storm surges and high water marks of 20 typhoons verified that the forecast system has a good simulation ability. The system can forecast relatively realistic water levels and wave heights as shown under the parametric atmospheric forces simulated in a case study; the sea dikes in credible high risk were mainly located in the estuaries, rivers, and around the islands in the southern Zhejiang. Therefore, the forecast system is applicable in the southern Zhejiang with a support to the effective prevention from typhoon storm-surge damage. 相似文献
11.
12.
多元指标的海上溢油信息提取 总被引：1，自引：0，他引：1
海上溢油给海洋生态环境带来了巨大的影响,甚至需要几十年才能恢复。运用卫星遥感进行海上溢油监测已成为目前溢油监测的主要手段。本文对海上溢油遥感监测方法进行了分析,鉴此,提出了一种SAR数据的多元指标溢油信息提取方法。首先,对图像进行分割,然后,建立溢油形状参数、纹理特征指数、物理特性指数等主要指标,并以层次分析法得出每一类指标的权重。针对每一类指标,以经现场验证的溢油图像为基础,选择形状参数,如周长与面积比值、复杂度等,建立溢油形状判读等级;选择纹理特征参数,以灰度共生矩阵的相关性、熵、变化等来表达溢油的纹理特性,建立溢油纹理特征判断等级;选择溢油物理特征,如溢油与海水的标准差、均方根差、对比度等,建立溢油物理参数判断等级。在此基础上,建立海上溢油遥感信息提取指数,计算分割图斑的溢油遥感信息提取指数,以此判断溢油遥感信息提取的置信度,为溢油识别提供依据。 相似文献
13.
海面溢油对海洋生态的影响具有频率高、范围广和危害大的特点。卫星遥感已成为海面溢油监测的重要手段。本文从海面油膜光谱特性出发,与常用的光学卫星传感器建立对应关系,根据对不同光学遥感卫星的空间分辨率、时间分辨率、幅宽和波段数等主要物理参数的对比分析认为,MODIS传感器和HJ-1卫星有较强的海面溢油监测能力。故此,采用MODIS、BJ-1、HJ-1和FY-3光学卫星影像,对2006年3月和2011年6月渤海海面溢油污染事故进行了遥感监测。MODIS遥感图像可以清晰反映出2006年和2011年这2次溢油污染事故中海面油膜信息,HJ-1卫星遥感影像则能反映出2011年溢油污染事故中海面油膜信息,而BJ-1和FY-3卫星遥感影像不能反映出海面油膜信息。HJ-1、BJ-1和FY-3卫星在波段设置上相似,但是,BJ-1和FY-3卫星不能反映出油膜信息,所以,本文进一步对这2次溢油事件中的MODIS遥感影像的油水光谱反差和海水光谱方差进行计算,并对结果进行比较分析,实验结果表明,当MODIS某一波段的海水光谱方差小于油水光谱反差时,则该波段可以显示出油膜信息;而当油水光谱反差小于或接近海水方差时,则不能反映出海面油膜信息。从波谱响应、空间分辨率和时间分辨率,以及监测实例中说明MODIS传感器有较强的海面溢油监测能力。 相似文献
14.
Christopher N.K. Mooers Inkweon Bang 《中国海洋大学学报(英文版)》2005,4(4):288-292
The Florida Current （FC） largely fills the Straits of Florida and is variable on a broad spectrum of time and space scales. Some portions of the variability are due to variable forcing by tides, winds, heating/cooling, and throughflow; other portions are due to intrinsic instabilities of the FC. To predict, as well as to better understand this complex regime, a nowcast/forecast system （East Florida Shelf Information System （EFSIS）） has been implemented and assessed （http：//efsis. rsmas. miami. edu）. EFSIS is based on an implementation of the Princeton Ocean Model （POM） with mesoscale-admitting resolution on a curvilinear grid. It is forced by a mesoscale numerical weather prediction system （called Eta） run operationally by the National Centers for Environmental Prediction （NCEP）, eight tidal constituents from a global tidal model, and lateral boundary conditions from an operational global ocean prediction model, i.e., the Navy Coastal Ocean Model （NCOM）. Real-time observations of coastal sea level, coastal sea surface temperature, coastal HF radar-derived surface current maps, and FC volume transport are used to verify and validate EFSIS. EFSIS is part of an evolving strategy for real-time predictive coastal ocean modeling methodology, and for fostering the understanding of the variability of the regime on several time and space scales. Here, some of the verification and validation results are provided, as well as diagnostic analyses of dynamical processes. The central point is that an example is provided of a ＇scientific revolution＇ in progress that combines real-time observations and numerical circulation models to yield a credible sequence of synoptic views of coastal ocean circulation for the first time. 相似文献
15.
High Frequency (HF) radar current data is assimilated into a shelf sea circulation model based on optimal interpolation (OI) method. The purpose of this work is to develop a real-time computationally highly efficient assimilation method to improve the forecast of shelf current. Since the true state of the ocean is not known, the specification of background error covariance is arduous. Usually, it is assumed or calculated from an ensemble of model states and is kept in constant. In our method, the spatial covariances of model forecast errors are derived from differences between the adjacent model forecast fields, which serve as the forecast tendencies. The assumption behind this is that forecast errors can resemble forecast tendencies, since variances are large when fields change quickly and small when fields change slowly. The implementation of HF radar data assimilation is found to yield good information for analyses. After assimilation, the root-mean-square error of model decreases significantly. Besides, three assimilation runs with variational observation density are implemented. The comparison of them indicates that the pattern described by observations is much more important than the amount of observations. It is more useful to expand the scope of observations than to increase the spatial interval. From our tests, the spatial interval of observation can be 5 times bigger than that of model grid. 相似文献
16.
南太平洋长鳍金枪鱼渔场预报模型研究 总被引：4，自引：0，他引：4
长鳍金枪鱼资源是南太平洋金枪鱼渔业的重要目标种类,也是我国金枪鱼延绳钓的主要捕捞对象之一。根据2008-2009年我国海洋渔业公司在南太平洋海域的生产数据,结合表层、105 m和205 m水层温度,以及海面高度、叶绿素a浓度等海洋环境数据,运用一元非线性回归方法,按季度建立基于各环境因子的长鳍金枪鱼栖息地适应性指数,采用算术平均法获得基于多环境因子的栖息地指数综合模型,并用于中心渔场的预报。通过与实际作业渔场的比较与验证,结果表明:模型预报准确性达到70%以上,具较高渔情预报准确度。 相似文献
17.
滑坡灾害应急处置能力是地质灾害减灾防灾的重要方面。目前,基于滑坡灾害预测和预警分级成果,系统性的应急措施分类研究还鲜有展开,因此,以三峡库区白水河滑坡为例,运用时间序列加法模型将滑坡累计位移分解为趋势项位移与周期项位移,并分别应用多项式拟合及自回归（AR）模型对2个分量进行预测,在此结果上采用聚类分析方法将滑坡变形分为匀速变形与加速变形阶段,综合判断滑坡灾害预警等级,开展了针对滑坡预警分级的应急措施研究。结果表明:白水河滑坡预警等级主要为蓝色和黄色2种类型,对处于不同的预警等级下的滑坡,可根据滑坡变形特征快速决策,基于滑坡灾害预测和预警分级结果能更有效地指导滑坡应急处置。 相似文献
18.
针对传统海浪建模方法中存在海洋表面真实感差、计算复杂的问题,本文进行了基于光滑粒子流体动力学算法（SPH）与移动立方体算法（MC）相结合的海浪建模仿真研究。通过基于空间网格的粒子分配,建立了粒子群单向列表存储结构,在海浪粒子物理量计算时,实现了其光滑核半径内粒子群的快速检索,并基于拉格朗日流体控制方程,进行了海浪粒子受力分析及状态计算;在模拟海浪与环境障碍物碰撞时,将碰撞问题简化为粒子在一定时间段内所经过的路径与障碍物表面三角面片是否相交来进行判定,并假设粒子为理想刚体,采用改进的欧拉方法实现了粒子新位置的动态计算;为增强海浪流体模拟的真实感,在移动立方体节点密度动态计算基础上,依据确定的海浪表面密度阈值,耦合MC算法进行了海浪表面的动态提取,从而实现了海浪三维表面建模与动态演变仿真。通过模拟验证了该算法的时效性与可行性,可为海洋环境信息三维可视化提供一定的参考。 相似文献
19.
Bioremediation, is an effective and environment-friendly method of cleaning up crude oil pollution after an oil spill. However, the in situ bioremediation of crude oil is usually inhibited by deficiency of inorganic nutrients. To understand the effects of nutrient addition on the bioremediation of crude oil and the succession of bacterial communities during process of bioremediation, microcosms containing oilcontaminated sediments were constructed and biodegradation of crude oil was assessed based on the depletion of different ingredients. We used two culture-independent methods, denaturing gradient gel electrophoresis and a 16 S rRNA gene based clone library, to analyze the succession of bacterial communities. The results suggested n-alkanes were degraded after 30 days and that nutrient amendments significantly improved the efficiency of their biodegradation. Moreover, oil contamination and nutrient amendments could dramatically change bacterial community structures. Lower diversity was detected after being contaminated with oil. For instance, bacterial clones affiliated with the phylum Armatimonadetes, Firmicutes, Gemmatimonadetes, and Planctomycetes and the class Deltaproteobacteria and Epsilonproteobacteria could not be identified after 30 days of incubation with crude oil. However, "professional hydrocarbonocastic bacteria" became abundant in samples treated with oil during the bioremediation period, while these clones were almost completely absent from the control plots. Interestingly, bioinformatics analysis showed that even when dramatic differences in oil biodegradation efficiency were observed, bacterial communities in the plots with nutrient amendments were not significantly different from those in plots treated with oil alone. These findings indicated that nutrient amendments could stimulate the process of biodegradation but had less impact on bacterial communities. Overall, nutrient amendments might be able to stimulate the growth of n-alkane degrading bacteria. 相似文献