用户名: 密码: 验证码:
内河水面溢油在线监测方法研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
船舶溢油污染是内河的主要污染之一。随着内河航运业的快速发展,内河船舶的数量不断增加,溢油污染的潜在风险越来越大。一旦发生大型溢油事故,内河沿线的居民生活、生态、水上生物、旅游景区等将受到严重危害,而且这种危害在短时间内很难消除。溢油事故的发生是很难预测的,当溢油事故发生时,如果能及时监测到溢油发生的地点以及当地的水文和气象信息,并迅速采取有效的防扩散措施,将可以减少溢油污染的不良影响。因此,内河溢油的实时监测对于减少内河油污染的危害具有很重要的意义。
     本论文根据内河河道和内河溢油的特点,对内河溢油监测方法进行了研究,并将溢油监测技术、气象监测技术、水文监测技术、无线通信技术以及溢油应急技术相结合,构建了一套全天候实时在线的内河溢油监测系统。论文主要研究工作如下:
     (1)进行了可见光传感器和红外传感器的溢油监测实验研究。通过可见光和红外传感器采集了水面油膜图像,并应用图像处理软件对采集的图像进行了处理,实验结果表明:当水面有水草、泡沫等物质干扰时,可见光传感器和红外传感器均无法清楚区地分水和油。此外,当传感器晃动时,也很难区分水和油。
     (2)进行了能量吸收传感器ID-227的溢油监测实验研究。建立了ID-227传感器溢油数据采集实验平台,通过该实验平台进行了ID-227传感器在空气、净水静止、净水波动、水面漂浮0#柴油、重柴油、原油、航空煤油、滑油、食用油、水草、树叶、泡沫以及不同环境温度下的实验数据采集,并运用快速傅里叶滤波、中位值平均滤波、小波变换等多种滤波方法对实验采集的数据进行了处理,最后根据数据处理结果对传感器在空气、净水静止、净水波动、水面油膜和油膜波动等5种状态进行了特征提取和分类,实现了水面油膜的识别。
     (3)进行了激光反射传感器OFD-1的溢油监测实验研究。建立了OFD-1传感器溢油数据采集实验平台,并通过该平台进行了OFD-1传感器在净水静止、净水波动、水面漂浮0#柴油、原油、航空煤油、滑油、食用油、水草、树叶、泡沫、油面波动等多种环境下的输出信号数据采集,同时对不同环境温度、以及降雨条件下传感器的输出也进行了采集,然后运用快速傅里叶滤波、中位值平均滤波、小波变换等滤波方法对采集数据进行了处理,根据数据处理结果对传感器在净水静止、净水波动、水面油膜和油膜波动等状态进行了特征提取和分类。实现了水面油膜的识别。
     (4)根据内河溢油特点,通过对可见光、红外、ID-223、ID-227、油份浓度仪等不同水面油膜监测传感器的实验研究和分析比较,最终选定ID-227作为基于内河航标的溢油监测设备,OFD-1作为基于内河桥梁的溢油监测设备。
     (5)分析了内河溢油、内河水文以及内河航标的特点,根据这些特点和当前内河溢油监测现状设计了基于多功能航标和桥梁的内河水面油膜监测系统。
     (6)根据航标特点开展了与内河溢油应急相关的温度、水流速度、风速、降雨量以及能见度等传感器的选型研究并进行了整个传感系统的电路和电源设计。
     (7)构建了内河溢油远程监测信息的传输系统,并分别在实验室和内河进行了测试,测试结果表明该信息传输系统数据掉包率低,运行良好。
     (8)应用层次分析法对溢油监测传感网络的布设与优化进行了研究,根据溢油监测系统监测的数据建立了溢油量估算模型,并结合OILMAP软件对溢油的动态归宿进行了模拟,研究了溢油拦截点的确定方法和围油栏的选择方法。
Oil spill is one of the main pollutant of the inland river. As the rapid development of the river shipping industry, the number of the river ship is continuously increasing, and the potential risk of oil spill is larger and larger. Once the oil spills in river, both the social economic and residents health of the coastal areas would be damaged seriously, which would not be easy to eliminate in a short period. Because of the difficulty of the oil spill forecasting, when the oil spill occurs, if the pollution location can be detected timely, along with the quick response and the effective measures, the negative effect of the oil spill pollution could be reduced. So the real-time monitoring of oil film on the river is of great importance to reduce the negative effect from the oil spill pollution. The monitoring methord of oil spill is studied according to the characteristics of the river channel and oil spill accident. The oil spill monitoring, weather monitoring, hydrology monitoring, communication technology and the oil spill emergency technology are combined, an all-weather and real-time monitoring system for oil spill in river is developed, and the main research work includes:
     (1) The image collection experiments for oil spill and floating debris under both visible and infrared sensors were implemented. The imagines were treated by image processing software, and the results showed that the sensors can not distinguish water from oil clearly with the disturbance from aquatic or foam exists, besides when the sensor is swaying.
     (2) An experiment platform for collecting data from the energy-absorption ID-227sensor was constructed, and data collection was implemented for ID-227under different circumstance, including air, static pure water, fluctuant pure water,0#diesel oil, heavy diesel oil, crude oil, aviation kerosene, lubrication oil, edible oil, aquatic, leaves and foam, the data under different temperature were also collected, by the use of fast Fourier filtering, median values filtering and wavelet transformation, the data was processed, and the results was compared, by the feature extracting and classification for the status like air, static pure water, fluctuant pure water, oil film and fluctuant oil film, the identification of the oil film was realized.
     (3) An experiment platform for collecting data from OFD-1sensor was constructed, and data collection was implemented for OFD-1under different circumstance, including static pure water, fluctuant pure water,0#diesel oil, heavy diesel oil, crude oil, aviation kerosene, lubrication oil, edible oil, aquatic, leaves and foam, the data under different temperature and rain were also collected, by the use of fast Fourier filtering, median values filtering and wavelet transformation, the data was processed, and the results was compared, by the feature extracting and classification for the status like air, static pure water, fluctuant pure water, oil film and fluctuant oil film, the identification of the oil film was realized.
     (4) According to the characteristics of the oil spill in river, and by the experiment research and comparison of visible, infrared, ID-223, ID-227and oil concentration apparatus, the ID-227was finally selected to monitor the oil spill on the base of river navigation mark, and the OFD-1can be equipped on the bridge as the monitor equipment.
     (5) The characteristics of the oil spill, hydrology and navigation mark of the river were analyzed, according to these characteristics and the current oil spill monitoring research status, an oil spill film monitor system based on the multi-functional navigation mark or bridge was designed.
     (6) According to the characteristics of the navigation mark, the sensors for monitor temperature, water speed, wind speed, rain and visibility which related to the oil spill emergency response were selected, the corresponding electric circuit and power supply were both designed.
     (7) The communication system for oil spill monitor information was constructed, and the test was implemented in laboratory and river, which shows this information communication system is of the low frame lose rate and works well.
     (8) The layout and optimization of the oil spill sensor network was researched with the application of the analytic hierarchy process, the oil spill volume estimation model was developed based on the data from oil spill monitor system, and the dynamic destination of the spilled oil was simulated with the combination of OILMAP software, so the determination method of the oil intercept point and the selection method of the oil containment boom are researched.
引文
[1]贾元生,戴颜文.国际河流可持续利用思考[J].环境与开发.2000,15(2):39-41.
    [2]胡承兵.建立完善中国船舶污染防治法规体系的必要性及建议[J].交通环保.2001,22(2):8-10.
    [3]胡承兵.长江干线船舶防污工作的现状、存在的问题及对策[J].交通环保,2000,21(2): 24-28.
    [4]施欣,袁群.长江流域航运水污染影响与调控研究[M].上海:上海交通大学出版社,2007.
    [5]Shcherbak S S,Lavrova O Y, Mityaqina M I. Multisensor satellite monitoring of seawater state and oil pollution in the northeastern coastal zone of the Black Sea[J]. International Journal of Remote Sensing,2008,29(21):6331-6345.
    [6]Karantzalos K,Arqialas D. Automatic detection and tracking of oil spills in SAR imagery with level set segmentation [J]. International Journal of Remote Sensing,2008,29(21):6281-6296.
    [7]张万良,刘德长.卫星遥感及其应用的发展态势[J].世界核地质科学,2005,22(1):55-62.
    [8]Li Yang, Yu Shuiming, Long M A, et al. Satellite image processing and analyzing for marine oil spills[J]. The International Society for Optical Engineering,2008.
    [9]Casciello, Daniele, Lacava, et al. Robust Satellite Techniques (RST) for oil spill detection and monitoring [C]. International Workshop on the Analysis of Multi-Temporal Remote Sensing Images,2007.
    [10]牛莹.基于纹理特征的星载SAR溢油监测研究[D].大连:大连海事大学,2009.
    [11]杨红,唐泽艳.基于NOAA18的渤海烟台海域溢油遥感研究[J].遥感技术与应用,2010,25(2):217-222.
    [12]Adamo M,De Carolis G, De Pasquale V. Oil spill surveillance and tracking with combined use of SAR and Modis imagery:A case study, international geoscience and remote sensing symposium (IGARSS)[C]//IEEE International Geoscience and Remote Sensing Symposium,2006:1327-1330.
    [13]Litovchenko, Konstantin, Ivanov,et al.. Monitoring of oil spills in the north Caspian sea using sar imagery and multi-sensor satellite data[C]//IEEE International Geoscience and Remote Sensing Symposium,2008:605-608.
    [14]Kim, Duk-Jin, Moon, Wooil M, Kim, Youn-Soo, Application of TerraSAR-X data for emergent oil-spill monitoring, IEEE Transactions on Geoscience and Remote Sensing, v 48, n 2, p 852-863, February 2010
    [15]Li Ying, Ma Long, Yu Shuiming. Remote sensing of marine oil spills and its applications[C]. 16th National Symposium on Remote Sensing of China,2008.
    [16]Shi Lijian, Zhao Chaofang, Fan Kaiguo. Texture feature application in oil spill detection by satellite data[C].1st International Congress on Image and Signal Processing,2008.
    [17]白春江.遥感监测渤海海域溢油技术及系统研究[D].大连:大连海事大学,2007.
    [18]马龙,李颖,兰国新.多源卫星遥感溢油信息提取方法[J].大连海事大学学报,2009,35(4):79-80.
    [19]苏伟光.海洋卫星遥感溢油监测技术与应用研究[D].长沙:中南大学,2008.
    [20]高思福.关于建立渤海海面防止船舶污染立体监测体系的研究(D).大连:大连海事大学,2004.
    [21]Tufte, Lars, Trieschmann,et al. Development of an oil spill information system combining the remote sensing data and the surveillance metadata[J]. The International Society for Optical Engineering,2004:72-80.
    [22]Donnay, Eric. Use of unmanned aerial vehicle (UAV) for the detection and surveillance of marine oil spills in the belgian part of the north sea[C]. Proceedings of the 32nd AMOP Technical Seminar on Environmental Contamination and Response,2009.
    [23]安居白.航空遥感探测海上溢油的技术[J].交通环保,2002,23(1):24-26.
    [24]石世云.VTS在水上防污染中的职责[J].世界海运,2008,31(1):53-54.
    [25]梅安新,彭望禄,秦其明,等.遥感导论[M].北京:高等教育出版社,2002.
    [26]Inbar,Jacob. Get wise to oil leaks[J]. International Water Power and Dam Construction, 1999:38-39.
    [27]汪渝,熊德琪.基于GPRS_GPS_GIS的船舶溢油远程监测系统的研究[C].中国大连国际海事论坛,2006.
    [28][2011-08-23]. www.dtic.mil/ndia/expeditionary/stack.pdf.
    [29]Arora A, Dutta P, Bapat S, et al. A wireless sensor network for target detection, classification, and tracking[J]. Computer Networks,2004:605-634.
    [30]P Ramanathan, K Saluja, K C Wang. A network routing application programmer's interface [C]//Technical Documentation for DARPA SensIT Program,2001.
    [31]DARPA SensIT Program. Location-centric distributed computation and signal processing inmicro-sensor networks. [2011-08-23]http://www.ece.wisc.edu/-sensit/
    [32]Essa I A. Ubiquitous sensing for smart and aware environment[J]. IEEE Personal Communication,2000:47-49.
    [33]Herring C, Kaplan S. Component-based software systems for smart environments[J]. IEEE Personal Communications,2000:60-61.
    [34]Petriu E M, Geoganas N D, D C Petru,et al. Sensor-based information appliances[J]. IEEE Instrumentation and Measurement Magazine,2000:31-35.
    [35]Mani Srivastava, Richard Muntz, Miodrag Potkonjak. Sensor-based wireless networks for smart developmental problem-solving environments [C]. In the Proceedings of the 7th ACM MOBICOM,Rome,Italy, ACM Press,2001:132-138.
    [36]P Johnsonetal, remote continuous. Physiological monitoring in the home[J]. Journal of Telemedicine and Telecare,1996:107-113.
    [37]M Ogawa. Fully automated bio-signal acquisition in daily routine through 1 month[C]. HongKong:IEEE Press,1998:1947-1950.
    [38]B G Celler, et al. An instrumentation system for the remote monitoring of changes in functional health status of the elderly. New York:IEEE Press,1994:908-909.
    [39]O Coyle, et al. Home tele-care for the elderly[J]. Journal of Telemedicine and Tele-care,1995:183-184.
    [40]Arslan Basharat, Necati Catbas, Mubarak Shah. A framework for intelligent sensor network with video camera for structural health monitoring of bridges[C]//In the Proceedings of the 3rd International Conference on Pervasive Computing and Communications Workshops. [S.1.]:Institute of Electrical and Electronics Engineers Computer Society,2005:385-389.
    [41]任毅.基于无线传感器网络的远程医疗监护系统研究[D].武汉:武汉理工大学,2007.
    [42]曹靖华.基于无线传感器网络的远程医疗监护系统研究[D].上海:上海交通大学,2008.
    [43]L S chwiebert, S K S Gupta, J.Weinmann, et al. Research challenges in wireless networks of biomedical sensors[C]//Proceedings of the Annual International Conference on Mobile Computing and Networking. [S.1.]:Association for Computing Machinery,2001: 151-165.
    [44]王雪梅,徐本崇,陈俊杰.用于环境监测的无线传感器网络节点的设计与实现[J].测控技术,2007,(11):1-6.
    [45]饶云华,代莉,赵存成,等.基于无线传感器网络的环境监测系统[J].武汉大学学报:理学版,2006(3):345-348.
    [46]耿军涛,周小佳,张冰洁.基于无线传感器网络的大气环境监测系统设计[J].西华大学学报:自然科学版,2007,(4):44-46.
    [47]宫鹏.环境监测中无线传感器网络地面遥感新技术[J].遥感学报,2007(4):545-551.
    [48]杨扬,朱善安.基于无线传感网络的环境监控系统的设计和实现[J].工业控制计算机,2007(9):6-8.
    [49]J Burrell, T Brooke, R Beckwith. Sensor networks in agricultural production[C]//IEEE Pervasive Computing. [S.1.]:Institute of Electrical and Electronics Engineers Inc,2004: 38-45.
    [50]张利琼.无线传感网络在农业生产中的应用[J].现代农业科学,2008(3):49-53.
    [51]D C Steere, A.Baptista, D.McName, et al. Research challenges in environmental observation and forecasting systems[C]//Proceedings of the Annual International Conference on Mobile Computing and Networking. [S.1.]:ACM,2000:292-299.
    [52]周延颖.基于无线传感网络的山体滑坡实时监测系统[D].重庆:西南交通大学,2008.
    [53]Geoff Werner-Allen, Jeff Johnson, Mario Ruiz, ET al. Monitoring volcanic eruptions with a wireless sensor network[C]//In the proceedings of the 2nd European Workshop on Wireless Sensor Networks. Institute of Electrical and Electronics Engineers Computer Society,,2005.
    [54]Abdelzaher T, EnviroTrack:Towards an Environmental Computing Paradigm for Distributed Sensor Networks[C]. ICDCS,2004.
    [55]P Bonnet, J Gehrke, P Seshadri. Querying the physical world[C]//IEEE Personal Communications. [S.1.]:,2000,10-15.
    [56]A Mainwaring, J Polastre, R Szewczyk, et al. Wireless sensor networks for habit monitoring[C]. Atlanta:ACM WSNA,2002.
    [57]Habitat monitoring on great duck island. [2011-08-24] http://www.greatduckisland.net/ index, php.
    [58]Arampatzis Th, Lygeros J, Manesis S. A survey of applications of wireless sensors and wireless sensor networks [C]//In the Proceedings of IEEE Internationa] Symposium on. Mediterrean Conference on Control and Automation,2005:719-724.
    [59]周丹.无线传感网络在大坝安全监测中的应用研究[D].武汉:武汉理工大学,2008.
    [60]B Rickett. A vision of future applications for an automotive radar network[C]. Hamburg:In the 1st International Workshop on Intelligent Transportation,2004:23-24.
    [61]杨丽琴,赵进创,周毅,等.基于无线传感器网络的数据采集系统设计[J].微电子学与计算机,2007(9):68-71.
    [62]马善伟,刘赟.无线传感网络系统在船舶机舱中的应用研究[J].上海造船,2008(01):34-36.
    [63]邓鳌.无线传感网络在大型机电系统健康监测中的应用[J].武汉理工大学学报:信息与管理工程版,2006(11):125-127.
    [64]李群,姜连轶,张艾萍,等.无线传感网络在汽轮发电机组状态监测系统中的应用[J]燃气轮机技术,2008(4):6-8.
    [65]高岩,陈亚西,张良伟,等.一种基于无线传感局域网络的钻井多参数监测系统的现场应用[J].录井工程,2007(6):54-59.
    [66]Nst E, Egset C.N. Oil spill detection system-Results from field trials[J]. OCEANS,2006: 1-6.
    [67]Martin Jr Robert D, Kelly F J, Lee Linwood L, et al. Texas automated buoy system: Real-time currents for oil spill response[C]//2005 International Oil Spill Conference. [S.I.]: Global Engineering Documents,2005:8350-8353.
    [68]万炼,程木林,孔祥昆,等.港口溢油监测报警系统在深圳盐田国际港口的应用[C].延吉:船舶防污染国际公约实施学术交流研讨会论文集,2008.
    [69]冯浩然,胡建斌.基于无线传感器网络的水面溢油监测系统[J].微计算机信息,2009(4):1-3.
    [70]孙俊,俞济清,黄立文.基于OILMAP的中国舟山港溢油管理信息系统[J].计算机仿真,2002,19(4):76-78.
    [71]Leech M V, Tyler A, Wiltshire M. A pc-based oil spill information system[C]//2005 International Oil Spill Conference. [S.1.]:Global Engineering Documents,2005:6037.
    [72]Roberts, Julian, Lamarche, et al. An oil spill information management system for New Zealand[C]//2005 International Oil Spill Conference. [S.1.]:Global Engineering Documents,2005:10901-10908.
    [73]Douligeris, Christos, Collins, et al.OSIMS:Oil spill information management system[C]// 2005 International Oil Spill Conference. [S.1.]:Global Engineering Documents,2005: 6035-6036.
    [74]Runghen H, Bhuruth M, Rughooputh S.D.D.V., et al. Oil spill information system for mauritius:Oil spill shoreline sensitivity mapping & analysis [C]//Proceedings of the IEEE International Conference on Industrial Technology. [S.1.]:Institute of Electrical and Electronics Engineers Inc,2003:450-455.
    [75]刘彦呈,袁士春,孙才勤,等.海上溢油应急反应电子海图系统的研制开发[J].世界海运,2001,24(3):38-39.
    [76]熊德琪,杜川,杨为群.大连港油码头溢油预测信息系统及其应用研究[G].大连:2004年大连国际海事技术交流会论文集,2004.
    [77]熊德琪,杨建立,严世强.珠江口区域海上溢油应急预报信息系统的开发研究[J].海洋环境科学,2005,24(2):63-66.
    [78]庄学强,陈坚,孙倩.基于“3S”技术的海上溢油信息系统设计与初步实现[J].集美大学学报:自然科学版,2008,13(3):237-240.
    [79]廖国祥,熊德琪,翟伟康,等.基于WebGIS的海上溢油应急信息系统的构建[J].计算机工程,2007,33(12):272-274.
    [80]Neralla V, Venkatesh R. Real time application of an oil spill motion prediction system[C]// 2005 International Oil Spill Conference. [S.1.]:Global Engineering Documents,2005: 6708.
    [81]Sebastiao P Guedes, Soares C. Uncertainty in predictions of oil spill trajectories in a coastal zone[J]. Journal of Marine Systems,2006,63(3-4):257-269.
    [82]娄安刚,奚盘根.海面溢油轨迹的分析与预报[J].青岛海洋大学学报,1994(4):477-484.
    [83]Zhao W Q, Wu Z H. A model of spreading,dispersion and advection caused by an oil slick on the unstable sea surface[C]. Kyoto:[s.n.],1988.
    [84]武周虎,赵文谦,伶仃.海洋溢油污染风险区划及防污染对策[J].水利学报,1992(10):42-46.
    [85]金梅兵.近岸溢油的全动力预测方法研究[J].海洋环境科学,1997,16(1):30-36.
    [86]Diaz B,Pavon A. Use of a probabilistic particle tracking model to simulate the Prestige oil spill[J]. Journal of Marine Systems,2008,72(1-4):159-166.
    [87]Perianez R, Pascual-Granqed. Modelling surface radioactive, chemical and oil spills in the Strait of Gibraltar[J]. Computers and Geosciences,2008,34(2):163-180.
    [88]张存智,窦振兴,韩康,等.三维溢油动态预报模式[J].海洋环境科学,1997,16(1):22-29.
    [89]刘彦呈,殷佩海,林建国,等.基于GIS的海上溢油扩散和漂移的预测研究[J].大连海事大学学报,2002,28(3):41-44.
    [90]Brown, Carl E, Finqas, Mervin, F. Review of the development of laser fluorosensors for oil spill application. Marine Pollution Bulletin[J].2003,47(9-12):P477-484.
    [91]Yamaqishi, Susumu, Hitomi, Kazuo. Detection and classification of oil spill using a compact imaging lidar system[C]//2005 International Oil Spill Conference,2005:1627-1634.
    [92]赵冬至,丛丕福.海面溢油的可见光波段地物光谱特征研究[J].遥感技术与应用.2000,15(3):161-164.
    [93]李四海.海上溢油遥感探测技术及其应用进展[J].遥感信息.2004(2):53-57.
    [94]吴锡英.红外光谱法在船舶溢油鉴别中的应用[J].交通部上海船舶运输科学研究所学报,1993,16(1):102-108.
    [95]Finqas, Mwev F, Fruhwirth, Mathias. Assessment of sensors and aircraft for oil spill remote sensing.2005 International Oil Spill Conference[C].2005:502.
    [96]Brown, Carl E, Marois, Richard. Laser fluorosensor demonstration flights over Newfoundland coastal waters. [C]//Proceedings of the 30th Arctic and Marine Oil spill Program, AMOP Technical Seminar.2007:437-450.
    [97]Cormack, Douqlas, Hurford, Neil, Tookey, David. Remote sensing techniques for detecting oil slicks at sea-a review of work carried out in the United Kingdom.2005 International Oil Spill Conference.2005:6941.
    [98]Maurer A T, Eduerton A T, Meeks D C. U.S. coast guard airborne oil surveillance system status report.2005 International Oil Spill Conference.2005:8679.
    [99]韩坤MODIS溢油监测研究[D].大连:大连海事大学.2008.
    [100]Jha, Maya Nand, Gao Yang, Levy, Jason. An analysis of oil spill detection algorithms using Laser Fluorosensor data. Proceedings of the 31st AMOP Technical Seminar on Environmental Contamination and Response.2008,2:P 741-757.
    [101]Brown, Carl E, Marois, Richard, Myslicki, Greqory. Remote detection of submerged orimulsion with a range-gated laser fluorosensor.2005 International Oil Spill Conference. 2005:8655-8656.
    [102]马森.海表层叶绿素和溢油机载海洋荧光激光雷达实验与方法研究[D].青岛:中国海洋大学.2007.
    [103]2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007.2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007.
    [104]瑞典航空海洋环境监测系统.海洋技术[C].1997,16(1).57-76.
    [105]周成虎,骆剑承,刘庆生,等.遥感影像地学理解与分析[M].北京:科学出版社.2001.
    [106]G A Mastin, J J Mason, J D Bradley, et al. A Comparative Evaluation of SAR and SLAR [A]. Proceeding of the Second Thematic Conference on Remote Sensing for Marine and Coastal Environments:Needs, Solution and Applications, ERIM Conference, Ann Arbor, Michigan,1994,7-17.
    [107]杨红,洪波,陈莎.海洋溢油模型及其应用研究进展[J].海洋湖沼报,2007,29(2):156-163.
    [108]赵冬至,张存智,徐恒振.海洋溢油灾害应急响应技术研究[M].北京:海洋出版社.2006.
    [109]赵文谦,晁晓波,黄勤生.泥沙吸附石油的数学模型与试验研究[J].水利学报,1997,42(12):51-58.
    [110]刘彦呈,殷佩海,林建国,等.基于GIS的海上溢油扩散和漂移的预测研究[J].大连海事大学学报,2002,28(3):41-44.
    [111]Petre S,Randolph M.现代信号谱分析[M].吴仁彪,韩萍,冯青译.北京:电子工业出版社,2007.
    [112]Steven M K.统计信号处理基础——估计与检测理论[M].罗鹏飞,张文明,刘忠,等译.北京:电子工业出版社,2003.
    [113]Johm G P. Dimitris G M数字信号处理[M].4版.方艳梅,等译.北京:电子工业出版社,2007.
    [114]Donald B P, Andrew T W.时间序列分析的小波方法[M].程正兴,等译.北京:机械工业出版社,2006.
    [115]杨福生.小波变换的工程分析与应用[M].北京:科学出版社,2000.
    [116]成礼智,郭汉伟.小波与离散变换理论及工程实践[M].北京:清华大学出版社,2005.
    [117]崔建平.内河AIS通信系统可靠性仿真分析研究[D].武汉:武汉理工大学,2010.
    [118]黄鹏飞,周建文,黄艳玉.AIS在海事调查处理中的应用[J].集美大学学报(自然科学版),2010,(06)
    [119]吴青,崔建平,马枫,等.基于奥村模型的内河AIS基站监测范围研究[J].武汉理工大学学报:信息与管理工程版,2011,(01)
    [120]余昆.多用途AIS组网协议研究[D].成都:电子科技大学,2010.
    [121]王淑美.溢油应急培训教程[M].北京:人民交通出版社,2004.
    [122]Williams G N,Hann R W. Simulation Models for Oil Spill Transport and diffusion[C]. Summer Computer Simulation Conference,1975:748-752.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700