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城市应急管理GIS模型与算法应用——以广州大学城为例 被引量:3
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作者 陈颖彪 陈健飞 苏琪信 《地球信息科学》 CSCD 北大核心 2009年第1期62-69,共8页
随着城市建设的快速发展,各类危及国家和人民群众生命财产安全的突发性事故灾害时有发生。因此,为应对城市各种重大突发事件,城市必须建立一种应急机制或综合的应急管理信息系统。管道分析是GIS技术在城市应急管理模型中的具体应用,利... 随着城市建设的快速发展,各类危及国家和人民群众生命财产安全的突发性事故灾害时有发生。因此,为应对城市各种重大突发事件,城市必须建立一种应急机制或综合的应急管理信息系统。管道分析是GIS技术在城市应急管理模型中的具体应用,利用城市应急管理系统对地下网管进行综合管理,可以将管线信息有序的存入计算机管理系统,实现数据的更新和资源共享。本文以广州大学城管道数据为数据研究基础,结合国内外管网数据模型,在先前开发完成的广州大学城可视化平台基础上加入横断面分析、垂距分析和爆管分析三个分析模块,对管网模型进行了算法改进并编程进行了技术实现,这三个功能模块可以直观地让管理员清晰地了解地下管线的走向和它们之间的空间关系,方便管理各种事务,防止和控制突发事件的发生,尽可能地减少灾害的影响范围。这三个功能可以应用于管道设计、铺设、维修等工作,对社会的经济发展和建设起着保障的作用。 展开更多
关键词 城市应急管理 横断面分析 垂距分析 爆管分析 广度优先算法
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Study on the relationship between ENSO and tropical Indian Ocean temperature 被引量:1
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作者 蔡怡 李海 《Marine Science Bulletin》 CAS 2011年第1期1-9,共9页
The relationship between ENSO and Indian Ocean Dipole was discussed by using the data set of sea temperature from Scripps Institute of Oceanography, the air temperature at 1000hPa from the NCEP reanalysis data and the... The relationship between ENSO and Indian Ocean Dipole was discussed by using the data set of sea temperature from Scripps Institute of Oceanography, the air temperature at 1000hPa from the NCEP reanalysis data and the Nino3 index from the Climate Prediction Center (CPC) of U.S.A. during the period from 1955 to 2001. The results show that there exists a Dipole on the maximum temperature anomalous level (MTAL) in the Indian Ocean, which close relates to ENSO in the Pacific Ocean. During El Nino periods there are good relationships between ENSO and Indian Ocean Dipole which maximum correlation occurring when ENSO leads by one month, but in La Nina periods the relationship is not so good. The distribution of Dipole in Indian Ocean is from northeast to southwest, which one (west) pole in 65°E - 75°E, 6°S - 10°S and the other in 85°E - 95°E, 2°N - 6°N, which is different from that defined by Saij. The correlation coefficients of Nino3 index with temperature anomalies in the west/east poles on the MTAL are over 0.4 - 0.15, respectively. It is a main sea temperature system in the tropical Indian Ocean. However, in the surface layer from sea surface to the depth of 20 m - 30 m there is no such a dipole with opposite sea temperature anomalies in the NE and SW of tropical Indian Ocean. The SSTA in the NE might be influenced by the sensible exchange process because the evolution of sea and 1 000 hPa air temperature anomaly time series of the NE of tropical Indian Ocean is quite similar except those during 1962 - 1963 and 1986. The periods of Indian Ocean Dipole are shorter than that of ENSO, and about 1 to 6-year. 展开更多
关键词 Pacific Ocean ENSO Indian Ocean dipole vertical maximal temperatureanomalous level EOF analysis
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