山东省海洋灾害观测预警系统
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摘要
山东省所辖海域海洋灾害种类繁多、发生频率高,给山东省的社会经济发展及人民群众生命财产安全带来巨大压力。介绍了国家海洋局北海预报中心(山东省海洋预报台)基于山东省立体海洋观测网、海洋精细化预报系统和防灾减灾综合信息平台构建的山东省海洋灾害观测预警系统。该系统在海洋防灾减灾工作中得到广泛应用,并取得了明显的社会、经济、生态效益,为山东省港口安全生产、渔船海上作业、石油开发及应急指挥决策、风暴潮灾害辅助决策、沉船及落水人员搜救等提供了有力的支持。
In recent years,Shandong Province has been suffering from various kinds of marine disasters,which have caused huge economic losses to its social development and people's life and property safety. This paper introduces the operational system of monitoring,forecasting and warning on marine disasters for Shandong Province,which is developed by North China Sea Marine Forecasting Center of State Oceanic Administration. This system is based on three- dimensional marine monitoring sub- system,high- resolution marine forecasting and warning sub- system and integrated information platform for disaster prevention and mitigation. This system has been widely used and provided scientific support for port safety guarantee,fishery at sea,oil development and emergency decision support,action plan for storm surge disaster,search and rescue for sunken ships and overboard man. Hence,it has significant social,economic and ecological benefit.
In recent years,Shandong Province has been suffering from various kinds of marine disasters,which have caused huge economic losses to its social development and people's life and property safety. This paper introduces the operational system of monitoring,forecasting and warning on marine disasters for Shandong Province,which is developed by North China Sea Marine Forecasting Center of State Oceanic Administration. This system is based on three- dimensional marine monitoring sub- system,high- resolution marine forecasting and warning sub- system and integrated information platform for disaster prevention and mitigation. This system has been widely used and provided scientific support for port safety guarantee,fishery at sea,oil development and emergency decision support,action plan for storm surge disaster,search and rescue for sunken ships and overboard man. Hence,it has significant social,economic and ecological benefit.
引文
[1]国家海洋局.2010年中国海洋灾害公报[EB/OL].(2011-04-22)[2011-04-28].http://www.soa.gov.cn/soa/hygb/zhgb/webinfo/2010/03/1303019794552461.Htm.
[2]国家海洋局.2009年中国海洋灾害公报[EB/OL].(2010-03-04)[2011-06-11].http://www.soa.gov.cn/soa/hygbml/zhgb/nine/webinfo/2010/03/1271382650760154.Htm.
[3]靳熙芳,王硕.北海区海洋环境监测要素动态集成与分析系统总体设计[J].科技信息,2010,29:37-38.
[4]Xu J L,Huang J,Gao S,et al..Assimilation of High Frequency Radar Data into a Shelf Sea Circulation Model[J].Journal of Ocean University of China,2014,13(4):572-578.
[5]曹丛华,白涛,高松,等.胶州湾高分辨率三维风暴潮漫滩数值模拟[J].海洋科学,2013,37(2):118-125.
[6]吴玲娟,曹丛华,黄娟,等.黄海绿潮应急溯源数值模拟[J].海洋科学,2011,35(6):44-47.
[7]黄娟,吴玲娟,等.黄海绿潮应急漂移数值模拟[J],海洋预报,2011,28(1):25-32.
[8]黄娟,吴玲娟,高松,等.黄海绿潮分布年际变化分析[J].激光生物学报,2013,23(6):576-582.
[9]吴玲娟,高松,刘桂艳,等.青岛近海大型水母漂移集合预测方法研究[J].海洋预报,2014,32(2):62-71.
[10]黄娟,曹雅静,高松,等.渤海海上溢油漂移扩散数值模拟研究[J].海洋科学,2014,38(9):1-8.
[11]高松,黄娟,白涛,等.无主漂油源集合预测方法研究[J].海洋科学,2014,38(3):43-46.
[12]黄娟,徐江玲,高松,等.基于海上试验对海上漂移物漂移轨迹影响因素的分析[J].海洋预报,2014,31(4),97-104.
[13]吴玲娟,高松,丁一,等.黄海绿潮灾害应急遥感监测和预测预警系统[J].防灾科技学院学报,2015.17(1),59-67.
[2]国家海洋局.2009年中国海洋灾害公报[EB/OL].(2010-03-04)[2011-06-11].http://www.soa.gov.cn/soa/hygbml/zhgb/nine/webinfo/2010/03/1271382650760154.Htm.
[3]靳熙芳,王硕.北海区海洋环境监测要素动态集成与分析系统总体设计[J].科技信息,2010,29:37-38.
[4]Xu J L,Huang J,Gao S,et al..Assimilation of High Frequency Radar Data into a Shelf Sea Circulation Model[J].Journal of Ocean University of China,2014,13(4):572-578.
[5]曹丛华,白涛,高松,等.胶州湾高分辨率三维风暴潮漫滩数值模拟[J].海洋科学,2013,37(2):118-125.
[6]吴玲娟,曹丛华,黄娟,等.黄海绿潮应急溯源数值模拟[J].海洋科学,2011,35(6):44-47.
[7]黄娟,吴玲娟,等.黄海绿潮应急漂移数值模拟[J],海洋预报,2011,28(1):25-32.
[8]黄娟,吴玲娟,高松,等.黄海绿潮分布年际变化分析[J].激光生物学报,2013,23(6):576-582.
[9]吴玲娟,高松,刘桂艳,等.青岛近海大型水母漂移集合预测方法研究[J].海洋预报,2014,32(2):62-71.
[10]黄娟,曹雅静,高松,等.渤海海上溢油漂移扩散数值模拟研究[J].海洋科学,2014,38(9):1-8.
[11]高松,黄娟,白涛,等.无主漂油源集合预测方法研究[J].海洋科学,2014,38(3):43-46.
[12]黄娟,徐江玲,高松,等.基于海上试验对海上漂移物漂移轨迹影响因素的分析[J].海洋预报,2014,31(4),97-104.
[13]吴玲娟,高松,丁一,等.黄海绿潮灾害应急遥感监测和预测预警系统[J].防灾科技学院学报,2015.17(1),59-67.