浙赣皖交界区新元古代火山-沉积岩系的比较——有关火山作用同期异相的探讨

本文综合野外地质、同位素年代学和岩石地球化学资料,对浙赣皖交界区,即江南造山带东段发育的众多新元古代火山—沉积岩系进行了对比研究。从岩石组合及其大地构造含义和火山作用同期异相的观点加以认识.揭示它们的内在联系,为该区地层单元的清理和归并提供依据。     

岩土工程数值模拟新方法

论述了岩土工程数值模拟的新进展和近年来新出现的数值模拟方法,重点介绍了无网络伽辽金法（ＥＦＧＭ）和数值流形法（ＭＭ）的原理及其在岩土工程中的应用,指出了今后研究的重点方向。     

遗传规划在岩石力学中的应用

本文探讨了遗传规划这一新的优化方法在岩石力学参数确定中的应用。由于影响岩石力学性能的各因素之间关系不明确,而遗传规划特别适用于各影响因素之间因果关系不明确的复杂非线性问题。它为预测岩石力学性能提供了一条新的技术途径。通过例子,说明该方法的实用性。     

贵金属资源的应用及开发

将贵金属的应用,资源分布,生产和贵金属的分析化学结合在一起进行了综述,由于贵金属资源的短缺性及考虑可持续发展战略,特别介绍了贵金属资源的二次回收问题,并对其将来的发展作了一定的评价和展望。     

中国地区地震P波和S波走时表的实用检验

中国地区地震P波和S波走时表实测地震的效果如何?本文给出了一系列地震的实测结果,对比J—B表和其他走时表分析表明,建立在中国地区实际观测数据所独立算出的中国地区地震波走时表,更适合于实际情况,用以测定中国地区震中的参数具有较高的精确度。     

1980～1994年台湾海峡两岸的地热涡与降水季度预报初探

利用１９８０～１９９４年大陆３．２ｍ深度和台湾３．０ｍ深度的地温资料,分析了１５ａ来的逐季地气图,统计了台湾海峡两岸的地热涡活动,发现平均每季有１个地热涡活动,其水平尺度比大陆内部的地热涡要小,生命史也要短,进入台湾地区的地热涡绝大多数是从西方和北方进入,其移动速度比大陆内部的要快得多。９０％以上的地热涡在同期有多雨区与其对应,热涡中心与多雨中心相距在１００ｋｍ以内者占６８％。最后给出了一个季度降水的定性预测方案,其步骤为：预报地热涡的中心位置、强度和水平尺度;推算降水正距平区的水平尺度、中心位置和强度;根据本区发生的地震等情况进行预报订正。     

一次弓状降雹回波区流场的反演

通过对一次典型弓状降雹回波区的流场进行反及特点分析,发现用矩不变量法反演出的回波区流场结构,与藤田关于弓状回波的概念模式非常吻合,利用该方法估测出的流场,散度场、涡度场所表现出的信息,与降雹实况是一致的,该研究可为中小尺度强天气的监测,提供高时空分辨率的流场资料。     

一种以能量平衡为基础的干旱指数

本文以能量平衡公式为基础,根据实际蒸发与潜在蒸发的关系依赖于土壤水分含量的事实,导出一种表达干湿状况的指标——土壤水分干旱指数。     

A study of arctic sea ice and sea‐level pressure using POP and neural network methods

Abstract

We examine Arctic sea‐ice concentration (SIC) and sea‐level pressure (SLP) data using principal oscillation pattern (POP) and neural network methods. The POP method extracts oscillating patterns from multivariate time series, each pattern being characterized by an oscillation period and a decay time. Predictions can be made for patterns whose decay time is comparable with the period. For both the SIC and SLP, however, the decay times are much shorter than the oscillation periods, and therefore the forcast skill is poor. A neural network is a model of the learning behaviour of a living neural system. Presented with training data, a neural network can learn the linear or non‐linear rules embedded in the data. We trained neural networks with sea‐ice and sea‐level pressure data, and estimated the forecast skill using a cross‐validation technique. The neural networks did not exhibit forecast skill significantly better than that of persistence. We contrast the Arctic situation with previous studies in which POP and neural networks were successfully used to forecast El Niño at lead times up to 6 months. Reasons for the lack of skill in both methods are discussed.     

CHINA’S FOUR MAJOR METEOROLOGICAL SCIENTIFIC EXPERIMENTS

China lies in East-Asian monsoon region,which is one of the well-known active monsoon zones around the world.Monsoon anomaly results in frequent natural disasters,such as drought,torrential rain and flood.In 1998,joint intensified observations for 4 major meteorological scientific experiments have been carried out over Chinese major monsoon affected areas.A number of valuable data have been obtained and some observational facts have come out after initial analysis.The present paper is to give an introduction to the 4 major meteorological scientific experiments conducted in 1998 in China.including its origin and scientific goals,implementation and planning,equipment and progress,and initial findings from the important observational facts.It aims to provide a comprehensive report on the progress of the above experiments for those who are interested in.