共查询到18条相似文献，搜索用时 109 毫秒
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开展了星载SAR遥感影像的上海沿海溢油监测应用研究,建立了SAR影像的快速订购,数据预处理,SAR溢油特征和干扰因素分析、溢油信息提取的监测流程。研究过程中通过人工干预下的SAR溢油半自动检测方法提取历史SAR影像溢油信息,应用在油膜漂移预测预报模型检验案例中,两者结果吻合较好。在历史溢油事故案例中,利用SAR和光学遥感影像对油膜同时进行监测,结果在离岸海域,SAR溢油监测具有明显优势,但在长江口或近岸海域的岸滩地带需光学遥感进行辅助监测。从获取的上海沿海历史SAR遥感影像溢油监测初步统计结果来看,该海域溢油主要发生在长江口锚地和主要航线附近。 相似文献
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蓬莱19-3 油田事故溢油数值模拟 总被引：2，自引：0，他引：2
利用FVCOM(Finite-volume coastal ocean numerical model)数值模型和MM5风场预报模式,在对渤海海域水动力场进行数值模拟的基础上,基于"油粒子"的欧拉-拉格朗日跟踪法和随机走动原理,并考虑风对溢油油膜漂移扩散的直接作用,建立了海洋溢油油膜漂移轨迹和扩散的数值预测模型。利用建立的模型对2011年6月蓬莱19-3油田事故溢油进行了数值模拟,模拟结果与RADARSAT卫星遥感监测数据相吻合。研究结果表明:在渤海中部地区夏季事故溢油模拟预测中,风漂移因子取0.024最为合理,模型可用于渤海蓬莱19-3油田附近事故溢油轨迹和扩散的快速预报,从而为该区域的溢油事故应急响应提供科学依据。 相似文献
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渤海海域油气开发和输运活动频繁，溢油风险源较多，无主漂油事件时有发生。本文采用海洋溢油溯源数值模拟方法对山东长岛国家级自然保护区（即长岛保护区）进行了污染风险分析。利用非结构有限体积法海洋模式（Finite-Volume Community Ocean Model,FVCOM）模拟了渤海海域的潮流，结合欧洲中期天气预报中心的ERA5风场资料，通过一次真实溢油事故的后报验证方法的有效性。将该方法应用在长岛保护区的溯源模拟中，评估月平均统计条件下保护区整体污染危害风险。研究表明，溯源数值模拟方法可以提供对保护区造成危害的溢油来源区域及溢油对保护区造成污染影响的概率等信息，可为保护区相关工作提供参考。 相似文献
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研究了海域使用类型遥感监测的分类系统,探索建立了各类海域使用类型的卫星遥感监测方法。在此基础上,以葫芦岛试验区为例,对该验区海域使用格局进行了卫星遥感监测与评价。结果表明:卫星遥感技术结合地理信息系统技术与全球定位系统技术可以较好地对海域使用空间格局进行监测和评价。葫芦岛试验区海域使用类型以工矿业用海和渔业用海为主,工矿业用海以大斑块的集中用海为主要特征,而渔业用海则以小斑块的分散用海为主。在海域使用空间格局上,葫芦岛区块海域以工矿业用海为主,兴城区块海域以工矿业和渔业用海为主,绥中区块海域则是以渔业用海为主,葫芦岛试验区海域使用空间格局具有明显的空间分异特征。 相似文献
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本文针对普遍关注的溢油事件,分析了重大溢油事件应急监测中迫切需要解决的七个问题:溢油源确认核查、溢油面积准确估算、水下溢油探查、针对溢油应急过程的海洋环境监测、针对重点海域的溢油凝视监测、服务于溢油事件过程的次生事件风险观测;总结了溢油监测传感器的技术特点,分析了卫星、航空、固定式观测平台、移动式观测平台、水下固定和移动观测平台等5类溢油观测平台的技术现状与不足,提出了溢油跨学科组网观测构想,并初步设计了观测网络的组成及运行模式,以期对溢油组网观测系统的建设有所推动。 相似文献
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我国卫星海洋遥感监测 总被引：1，自引：0，他引：1
卫星遥感是20世纪50年代发展起来的一种新技术.运用这项新技术,可以对浩瀚的海洋进行实时、全方位的立体监测,长期获得稳定可靠的海洋观测资料.本文介绍了我国卫星海洋遥感监测现状,包括对海上台风、海洋赤潮、海冰、溢油、海温、海岸带等方面的监测,还简要介绍了我国海洋卫星和海洋卫星遥感监测的未来发展. 相似文献
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MODIS多光谱信息在海上溢油检测中的应用 总被引：1，自引：0，他引：1
利用搭载在EOS-Aqua/Terra卫星上的MODIS数据,对长江口溢油、委内瑞拉的马拉开波湖溢油等4次事故进行光谱分析和研究.在对出事海域的卫星数据进行图像处理的基础上,利用MODIS数据的多光谱信息,分析溢油在各个波段的特征,并确定油膜特征比较明显的波段范围,为可见光/近红外卫星监测溢油提供参考. 相似文献
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Numerical modeling is an important tool to study and predict the transport of oil spills. However, the accu- racy of numerical models is not always good enough to provide reliable information for oil spill transport. It is necessary to analyze and identify major error sources for the models. A case study was conducted to analyze error sources of a three-dimensional oil spill model that was used operationally for oil spill forecast- ing in the National Marine Environmental Forecasting Center （NMEFC）, the State Oceanic Administration, China. On June 4, 2011, oil from sea bed spilled into seawater in Penglai 19-3 region, the largest offshore oil field of China, and polluted an area of thousands of square kilometers in the Bohai Sea. Satellite remote sensing images were collected to locate oil slicks. By performing a series of model sensitivity experiments with different wind and current forcings and comparing the model results with the satellite images, it was identified that the major errors of the long-term simulation for oil spill transport were from the wind fields, and the wind-induced surface currents. An inverse model was developed to estimate the temporal variabil- ity of emission intensity at the oil spill source, which revealed the importance of the accuracy in oil spill source emission time function. 相似文献
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Along with the rapid advance in global industrialization, oil spill events caused by offshore operations, trans- portation and accidents are increasing. Compared with ship surveys, monitoring oil spills through remote sensing has real-time, comprehensive, low-cost advantages, which can effectively guide cleaning and evalu- ation, and reduce the marine ecological destruction resulting from oil spills. Therefore, studying the remote sensing mechanism used to monitor marine oil spills is of great significance for ecological environmen- tal protection. This paper describes an experiment and corresponding analysis based on the above-water method, using the East China Sea coastal turbid water. The analysis shows that ＂upward short-wave＂ in ultraviolet and blue-purple bands and its displacement, along with the changing thickness, are important characteristics for distinguishing between the oil slick and the sea water, and also to differentiate oil slicks of different thicknesses. From blue to near-infrared bands, the spectrum of lube oil is flatter than that of diesel, and the diesel spectrum rises faster than the lube spectrum on the right side of the trough at 400 nm. These two features form an important basis for differentiating diesel from lube oil. These analyses will further the development of oil spill remote sensing in the East China Sea. 相似文献
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海上溢油极化特征及其探测研究 总被引：3，自引：3，他引：0
The SAR(Synthetic Aperture Radar) has the capabilities for all-weather day and night use. In the case of determining the effects of oil spill dumping, the oil spills areas are shown as dark spots in the SAR images.Therefore, using SAR data to detect oil spills is becoming progressively popular in operational monitoring, which is useful for oceanic environmental protection and hazard reduction. Research has been conducted on the polarization decomposition and scattering characteristics of oil spills from a scattering matrix using allpolarization of the SAR data, calculation of the polarization parameters, and utilization of the CPD(Co-polarized Phase Difference) of the oil and the sea, in order to extract the oil spill information. This method proves to be effective by combining polarization parameters with the characteristics of oil spill. The results show that when using Bragg, the oil spill backscattering machine with Enopy and a mean scatter α parameter. The oil spill can be successfully identified. However, the parameter mechanism of the oil spill remains unclear. The use of CPD can easily extract oil spill information from the ocean, and the polarization research provides a base for oil spill remote sensing detection. 相似文献
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Accurate detection of an oil spill is of great significance for rapid response to oil spill accidents. Multispectral images have the advantages of high spatial resolution, short revisit period, and wide imaging width, which is suitable for large-scale oil spill monitoring. However, in wide remote sensing images, the number of oil spill samples is generally far less than that of seawater samples. Moreover, the sea surface state tends to be heterogeneous over a large area, which makes the identification of oil spills more difficult because of various sea conditions and sunglint. To address this problem, we used the F-Score as a measure of the distance between forecast value and true value, proposed the Class-Balanced F loss function (CBF loss function) that comprehensively considers the precision and recall, and rebalances the loss according to the actual sample numbers of various classes. Using the CBF loss function, we constructed convolution neural networks (CBF-CNN) for oil spill detection. Based on the image acquired by the Coastal Zone Imager (CZI) of the Haiyang-1C (HY-1C) satellite in the Andaman Sea (study area 1), we carried out parameter adjustment experiments. In contrast to experiments of different loss functions, the F1-Score of the detection result of oil emulsions is 0.87, which is 0.03–0.07 higher than cross-entropy, hinge, and focal loss functions, and the F1-Score of the detection result of oil slicks is 0.94, which is 0.01–0.09 higher than those three loss functions. In comparison with the experiment of different methods, the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.05–0.12 higher than that of the deep neural networks, supports vector machine and random forests models, and the F1-Score of the detection result of oil slicks is 0.15–0.22 higher than that of the three methods. To verify the applicability of the CBF-CNN model in different observation scenes, we used the image obtained by HY-1C CZI in the Karimata Strait to carry out experiments, which include two studies areas (study area 2 and study area 3). The experimental results show that the F1-Score of CBF-CNN for the detection result of oil emulsions is 0.88, which is 0.16–0.24 higher than that of other methods, and the F1-Score of the detection result of oil slicks is 0.96–0.97, which is 0.06–0.23 higher than that of other methods. Based on all the above experiments, we come to the conclusions that the CBF loss function can restrain the influence of oil spill and seawater sample imbalance on oil spill detection of CNN model thus improving the detection accuracy of oil spills, and our CBF-CNN model is suitable for the detection of oil spills in an area with weak sunglint and can be applied to different scenarios of CZI images. 相似文献
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Yingcheng Lu Xiang Li Qingjiu Tian Guang Zheng Shaojie Sun Yongxue Liu 《Marine Geodesy》2013,36(3):334-346
Different oil spill pollution types could be produced in oil transport and weathering processes. Investigation of these pollution types is beneficial for oil spill recovery and processing. Optical remote sensing techniques play an important role in marine oil spill monitoring and have the ability to identify different oil spill pollution types. Recently, research on oil spill optical remote sensing has made much progress in detecting targets, identifying spectral response characteristics, and formulating theories. Floating black oil, oil slicks, and oil-water mixture in marine oil spill accidents are the main targets to be investigated by optical remote sensors. The visible spectral response differences of these targets are the base of oil spill optical remote sensing research. Bi-directional reflectance distribution function, light interference, absorption, and scattering of targets produce different spectra. Therefore, oil spill optical remote sensing could be used to identify the main oil spill pollution types and estimate oil spill volume. 相似文献
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海上环境变化多端,造成溢油的漂移和扩散会出现不可预测的情况,精确、实时地监测海上溢油是现今亟待解决的问题.无人机以其部署快、成本低、环境适应性强的优势在海上溢油监测领域得到重视,但单架无人机监测能力弱,而多架无人机监测的准确性仍需提高.为此,本文提出一种无人机群海面溢油自动导航跟踪监测的架构和方法,根据海上溢油浓度的变化进行路径规划.该方法包括建立溢油模型和设计无人机跟踪控制系统.溢油模型主要描述海上溢油时空变化的形态复杂性;控制器可控制无人机追踪和监测溢油漂移及扩散的情况.同时,将无人机跟踪控制系统与人工势场法相结合,避免无人机相撞.最后,进行数值仿真,结果表明该跟踪系统与溢油的重合率达到70％～80％,验证了该方法的可行性.未来,该系统可广泛应用于无人机群对不同环境现象和灾害的跟踪监测. 相似文献
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应用极化合成孔径雷达检测海上溢油研究进展 总被引：4，自引：2，他引：2
海上溢油给海洋生态环境带来严重的影响,快速准确地探测溢油对于防灾减灾具有重要的意义。利用卫星遥感探测溢油已成为目前主要的检测手段,大多采用合成孔径雷达(SAR)数据,运用图像处理的方法,开展了多种溢油提取算法的研究,取得了较好的结果,但由于海洋的类溢油现象存在,造成提取信息的精度达不到要求。近年来,国内外运用极化SAR数据开展溢油信息提取研究,从极化分解与相位差等角度对溢油特性分析,能有效地区分一些类溢油现象,得到了较理想的结果。分析了应用SAR数据开展溢油信息提取的研究状况,总结了溢油极化SAR探测的研究,指出了目前研究中存在的不足,并提出了今后溢油极化SAR遥感监测的方向。 相似文献