用统计模式预测2002年El Nino

根据对赤道太平洋22年次表层温度、流场及其诊断量的EOF分析，提取出三个对El Nino有预测意义的物理量，它们分别是赤道太平洋温度距平 EOF第二个特征量的时间系数、赤道太平洋纬向流距平EOF第二个特征量的时间系数和赤道太平洋温度垂直差分距平EOF第一个特征量的时间系数，其中超前于 ElNino的时间分别为1 年、8个月和4 个月，用该三个量，建立Nino3区海温距平回归预测方程，根据目前我们可以得到的截止到2001年12月的资料，对直到2002年4 月、8月和12月的Nino3区海温距平进行预测，根据计算结果和分析得出我们的预测结论：2002年 4～5月前后将有一次中等强度的 El Nino过程。     

Application of Subbottom Profiler for Coastal Engineering

Experimental studies have been conducted on the acoustic effects of KLEIN-510 subbottom profiler for different sedimentary layers in estuary and bay areas. Sedimentary layer boundaries can be recorded clearly and continuously by this instrument and then compared with the results from drilling cores to reveal some variations of sedimentary environments. With this instrument, the average deposit rate can be determined and the bed-rock beneath the sea bottom can be found out.     

宁波海岛期间带生态学研究──Ⅱ．数量组成与分布

本文研究了宁波海岛潮间带的生物数量组成与分布规律。岩礁潮间带平均生物量（２５１２．９４ｇ／ｍ２）高于沙质潮间带（４７．６４ｇ／ｍ２）高于泥沙质潮间带（２２．３６ｇ／ｍ２），而密度为岩礁潮间带（９８７．２个／ｍ２）高于泥沙质潮间带（２８１．２个／ｍ２）高于沙质潮间带（２０．０个／ｍ２）。主要生物类群有甲壳动物、藻类及软体动物。岩礁潮间带生物量从近岸向外海增加。泥沙质潮间带的生物量和密度从北至南增加。     

Vertical distribution of zooplankton in centre of South China Sea

Four comprehensive surveys with different depths and subjects were performed byState Oceanic Administration (SOA), China in the centre of the South China Sea(12°-19°30′N, 111°-118°E) from September 1983 to January 1985. According to the data,the vertical distribution pattern of the total biomass and species of zooplankton down to a4000 m depth was for the first time reported and analysed, and the vertical composition ofpopulation was studied.     

多波束测深系统最优声速公式的确定

本文对现有的7种声速经验公式，根据其不同的适用范围，不同的水文环境，计算出各自不同的声速和声速变率，并对这些数据进行统计分析，得出了适合不同水层的最优声速公式，该结论在浅水区被验证是正确的。     

大地构造研究在我国东部油气勘查中的应用

中国含油气区大地构造研究,从槽台观点到板块构造基础理论,应用到东部地区着重研究了陆缘地壳和上地幔岩石圈层结构、运动和发展规律。阐明自印支期以来新全球构造阶段地壳深部活动机制,有效地解释了中新生代裂谷,裂陷盆地的起源和演化,以及构造对油气的生成、运移、聚集、保存直至成藏的控制作用,为油气勘查从陆地到海域发现大批油气田做出了积极贡献。     

临海工程建设对厦门北面海域底质粒级组成的影响

本文根据1980年厦门港湾底质调查的70个样品,应用R型因子分析方法,对沉积物粒级组成的成因进行分析。结果表明,该海域陆续修建的临海工程对其沉积物组成影响明显,使其由粗粒组成向细粒组成变化。尤其是高集海堤的兴建,泥沙大量淤积;海堤建成后,沉积环境日益稳定,接受沉积物以粉砂、粘土占主导地位。     

三峡库首区最小一维速度模型研究

根据三峡台网2001～2006年记录的490个地震事件中的7 330条P波和3 524条S波到时资料,利用Kissling方法得到了三峡库区最小一维P波和S波速度模型以及台站校正值,并应用于地震的精定位.重新定位后地震走时残差均方根从原来的0.56 s下降到0.41 s,地震定位精度在经度、纬度、深度方向上有了较大提高.     

Mining spatiotemporal association patterns from complex geographic phenomena

ABSTRACT

Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors.