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遥感技术与应用  2011, Vol. 26 Issue (2): 215-219    DOI: 10.11873/j.issn.1004-0323.2011.2.215
研究与应用     
GIS和Google Earth开发在溢油预测中的整合应用
焦俊超1,马安青1,娄安刚1,陈爽1,杨少磊2
(1.中国海洋大学环境科学与工程学院,山东 青岛266100;2.山东省海事局,山东 青岛266002 )
The Integration Application of GIS and Google Earth Development in Oil Spill Prediction
JIAO Jun-chao1,MA An-qing1,LOU An-gang1,CHEN Shuang1,YANG Shao-lei2
(1.College of Environmental Science and Engineering,Ocean University of China,
Qingdao 266100,China;2.Shandong Maritime Safety Administration,Qingdao 266002,China)
 全文: PDF(1066 KB)  
摘要:

为防止溢油污染扩散蔓延,以渤海湾为研究对象,根据海洋环境动力学建立动态溢油模型并生成DLL。在Visual Studio.net语言环境下基于ArcEngine控件进行组件式GIS开发并嵌入DLL,开发出GIS溢油预测系统。输入溢油事故相关参数,DLL就自行运算生成SHP格式溢油轨迹文件,系统可将其转成KML格式文件,然后自行启动Google Earth并加载KML,通过Google Earth来显示溢油轨迹,为溢油应急治理提供辅助决策。结果表明整合GIS和Google Earth开发可以提高效率、节省费用,能较准确地对海上溢油轨迹进行预测,有进一步推广的潜力。

关键词: GISGoogle Earth溢油预测    
Abstract:

Taking Bohai Bay as a case constructed dynamic oil spill model and resulted in DLL in terms of marine environment dynamics in order to prevent the spread of spill oil pollution.We developed component GIS embedded with DLL based on ArcEngine controllers under Visual Studio.net program language circumstance to obtain GIS spill oil system.First,input parameters on spill oil accidents,then DLL automatically processed this data to generate SHP file of spill oil trajectory,and the system could convert the former SHP file into KML file,following which the system would start Google Earth and also load the KML file obtained in the above step.The movement trajectory of marine spill oil was revealed through Google Earth,which provided decision support to urgently manage spill oil incidents for government department.The results demonstrated that the combination development of GIS and Google Earth could enhance the run efficiency and also save cost as well as accurately predict the spill oil change on the sea,therefore,which had a potential meaning for further promotion.

Key words: GIS    Google Earth    Oil spill    Prediction
收稿日期: 2010-08-15 出版日期: 2011-07-25
:  X 820.4  
基金资助:

山东省海事局“渤海湾溢油污染预测预警技术”项目(2008\|311\|000\|035),我国海岸带主要地质灾害预警预报系统前期研究项目(200705021)。

通讯作者: 马安青(1970-),男,安徽太和人,博士,主要从事遥感与地理信息系统在资源与环境方面的应用与开发研究。Email:maanqing538@sina.com。     E-mail: zmdjjchjjch@163.com
作者简介: 焦俊超(1985-),男,河南驻马店人,硕士研究生,主要从事GIS开发研究。Email:zmdjjchjjch@163.com。
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引用本文:

焦俊超,马安青,娄安刚,陈爽,杨少磊. GIS和Google Earth开发在溢油预测中的整合应用[J]. 遥感技术与应用, 2011, 26(2): 215-219.

JIAO Jun-chao,MA An-qing,LOU An-gang,CHEN Shuang,YANG Shao-lei. The Integration Application of GIS and Google Earth Development in Oil Spill Prediction. Remote Sensing Technology and Application, 2011, 26(2): 215-219.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.2.215        http://www.rsta.ac.cn/CN/Y2011/V26/I2/215

[1]Zhang Heqing,Li Fujiao.Study and Practice of the Oil Drift and Diffusion on the Sea Surface in the Offshore[J].Journal of Tropical Meteorology,2001,17(1):83-89.[张和庆,李福娇.近海海面油类漂流扩散的研究和预测实践[J].热带气象学报,2001,17(1):83-89.]


[2]Chen Guohua.Oil Pollution of Water[M].Beijing:Chemical Industry Press,2002.[陈国华.水体油污染治理[M].北京:化学工业出版社,2002.]


[3]Lou Sha,Liu Shuguang.Review in Theory and Study of Oil Spill Models[J].Environmental Science and Management,2008,33(10):33-37.[娄厦,刘曙光.溢油模型理论及研究综述[J].环境科学与管理,2008,33(10):33-37.]


[4]Liu Yancheng,Yin Peihai,Lin Jianguo,et al.Prediction of Oil Spill Spreading and Transport over the Sea[J].Journal of Dalian Maritime University,2002,28(3):41-44.[刘彦呈,殷佩海,林建国,等.基于GIS的海上溢油扩散和飘移的预测研究[J].大连海事大学学报,2002,28(3):41-44.]


[5]Liu Yang,Shao Yun,Yu Wuyi,et al.Analysis on Radar Backscatter Feature and Evolution of Ocean Pollution Oil Slick with ENVISat SAR[J].Remote Sensing Technology and Application,2010,25(3):311-317.[刘扬,邵芸,于五一,等.基于ENVISat的海洋污染性油膜雷达散射特征与扩散趋势分析[J].遥感技术与应用,2010,25(3):311-317.]


[6]Anderson E L.The OILMAPWin/WOSM Oil Spill Model:Application to Hindcast a River Spill[C]//Proceeding of the 18th Arctic and Marine Oil Spill Program,Technical Seminar,Edmonton,Alberta,Canada,1995:793-817.


[7]Leech M.OSIS:A Windows Oil Spill Information System[C]//Proceeding of the 16th Arctic and Marine Oil Spill Program,Technical Seminar.Calgary,Alberta,Canada:1983,5(1):27-30.


[8]Reed M,Ekrol N,Rye H,et al.Oil Spill Contingency and Response(OSCAR)Analysis in Support  of Environmental Impact Offshore Namibia[J].Spill Science and Technology Bulletin,1999,5(1):29-38.


[9]Long Shaoqiao,Lou Angang,Tan Haitao,et al.Comparision of Two Numerical Methods for Solving the Model for Oil Spill Particle Trajectory on  the Sea[J].Periodical of Ocean University of China,2006,36(Sup.):157-162.[龙绍桥,娄安刚,谭海涛,等.海上溢油粒子追踪预测模型中的两种数值方法比较[J].中国海洋大学学报(自然科学版),2006,36(Sup.):157-162.]


[10]Peng Guolun.Fortran 95 Program[M].Beijing:China Electric Power Press,2002.[彭国伦.Fortran 95程序设计[M].北京:中国电力出版社,2002.]

[11]Liu Peng,Pu Junping.Application of VB and Fortran Mixed Programming in Structural Dynamic Analysis[J].Journal of Zhejiang University of Technology,2010,38(1):102-106.[刘鹏,蒲军平.VB 和Fortran语言混合编程在结构动力分析中的应用[J].浙江工业大学学报,2010,38(1):102-106.]


[12]Chen Shupeng,Lu Xuejun.Introduction to Geographic Information Systems[M].Beijing:Science Press,2001.[陈述彭,鲁学军.地理信息系统导论[M].北京:科学出版社,2001.]


[13]Song Guanfu,Zhong Ershun.Research and Development of Components Geographic Information Systems[J].Journal of Image and Graphics,1998,3(4):313-317.[宋关福,钟耳顺.组件式地理信息系统研究与开发[J].中国图象图形学报,1998,3(4):313-317.]


[14]Jiang tong,Zhao Yanyan,Wang Siwei.Ambulance Decision\|making System in Flood Risk at Floodplain in Yellow River Downstream based on Google Eearth[J].Yellow River,2009,31(12):20-21,82.[姜彤,赵彦彦,王四巍.基于GE的黄河滩区迁安救护决策系统开发[J].人民黄河,2009,31(12):20-21,82.]


[15]Lu Baishu,Liu Yunbiao.Program Realizaiton of Exploration Spots Display in Google Earth[J].Resources Environment and Engineering,2007,21(4):450-454.[陆柏树,刘云彪.勘测点在Google Earth中显示的程序实现[J].资源环境与工程,2007,21(4):450-454.]

 

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