閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2011, Vol. 26 鈥衡�� Issue (2): 215-219.DOI: 10.11873/j.issn.1004-0323.2011.2.215

鈥� 鐮旂┒涓庡簲鐢� 鈥� 涓婁竴绡�    涓嬩竴绡�

GIS鍜孏oogle Earth寮�鍙戝湪婧㈡补棰勬祴涓殑鏁村悎搴旂敤

鐒︿繆瓒�1,椹畨闈�1,濞勫畨鍒�1,闄堢埥1,鏉ㄥ皯纾�2
  

  1. 锛�1.涓浗娴锋磱澶у鐜绉戝涓庡伐绋嬪闄�,灞变笢 闈掑矝266100锛�2.灞变笢鐪佹捣浜嬪眬,灞变笢 闈掑矝266002 锛�
  • 鏀剁鏃ユ湡:2010-08-15 淇洖鏃ユ湡:2010-10-26 鍑虹増鏃ユ湡:2011-04-20 鍙戝竷鏃ユ湡:2011-07-25
  • 閫氳浣滆��: 椹畨闈掞紙1970-锛�,鐢�,瀹夊窘澶拰浜�,鍗氬+,涓昏浠庝簨閬ユ劅涓庡湴鐞嗕俊鎭郴缁熷湪璧勬簮涓庣幆澧冩柟闈㈢殑搴旂敤涓庡紑鍙戠爺绌躲�侲mail:maanqing538@sina.com銆�
  • 浣滆�呯畝浠�:鐒︿繆瓒咃紙1985-锛�,鐢�,娌冲崡椹婚┈搴椾汉,纭曞+鐮旂┒鐢�,涓昏浠庝簨GIS寮�鍙戠爺绌躲�侲mail:zmdjjchjjch@163.com銆�
  • 鍩洪噾璧勫姪:

    灞变笢鐪佹捣浜嬪眬“娓ゆ捣婀炬孩娌规薄鏌撻娴嬮璀︽妧鏈�”椤圭洰锛�2008\|311\|000\|035锛�,鎴戝浗娴峰哺甯︿富瑕佸湴璐ㄧ伨瀹抽璀﹂鎶ョ郴缁熷墠鏈熺爺绌堕」鐩�(200705021)銆�

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. (1.College of Environmental Science and Engineering,Ocean University of China,顎�
    Qingdao 266100,China;2.Shandong Maritime Safety Administration,Qingdao 266002,China)
  • Received:2010-08-15 Revised:2010-10-26 Online:2011-04-20 Published:2011-07-25

鎽樿锛�

涓洪槻姝㈡孩娌规薄鏌撴墿鏁h敁寤�,浠ユ袱娴锋咕涓虹爺绌跺璞�,鏍规嵁娴锋磱鐜鍔ㄥ姏瀛﹀缓绔嬪姩鎬佹孩娌规ā鍨嬪苟鐢熸垚DLL銆傚湪Visual Studio.net璇█鐜涓嬪熀浜嶢rcEngine鎺т欢杩涜缁勪欢寮廏IS寮�鍙戝苟宓屽叆DLL,寮�鍙戝嚭GIS婧㈡补棰勬祴绯荤粺銆傝緭鍏ユ孩娌逛簨鏁呯浉鍏冲弬鏁�,DLL灏辫嚜琛岃繍绠楃敓鎴怱HP鏍煎紡婧㈡补杞ㄨ抗鏂囦欢,绯荤粺鍙皢鍏惰浆鎴怟ML鏍煎紡鏂囦欢,鐒跺悗鑷鍚姩Google Earth骞跺姞杞終ML,閫氳繃Google Earth鏉ユ樉绀烘孩娌硅建杩�,涓烘孩娌瑰簲鎬ユ不鐞嗘彁渚涜緟鍔╁喅绛栥�傜粨鏋滆〃鏄庢暣鍚圙IS鍜孏oogle Earth寮�鍙戝彲浠ユ彁楂樻晥鐜囥�佽妭鐪佽垂鐢�,鑳借緝鍑嗙‘鍦板娴蜂笂婧㈡补杞ㄨ抗杩涜棰勬祴,鏈夎繘涓�姝ユ帹骞跨殑娼滃姏銆�

鍏抽敭璇�: GIS, Google Earth, 婧㈡补, 棰勬祴

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

涓浘鍒嗙被鍙�: