长江三角洲北翼J9孔揭示地层和古地磁特征

长江三角洲北翼地区缺少较长尺度的第四纪海陆变迁及环境演变的深入探讨,深达423m的海安县基岩标J9孔为此提供了较好的研究对象。通过观察该孔松散层岩心,总结其沉积特征,认为岩心可明显地划分为6个特征岩性段。同时,地层古地磁测试结果显示:0～200m为布容正极性世,200～334m为松山负极性世,334m以下为高斯正极性世。综合分析岩心沉积特征并参考古地磁测试结果对地层进行了初步划分,认为:0～39m为全新世地层,39～153m为晚更新世地层,153～200m为中更新世地层,200-334m为早更新世地层,之下为新近纪地层。地层中存在晚更新世晚期特征的硬粘土标志层,指示本地不是冰后期古河谷的发育地。     

敦化盆地上侏罗统-上新统地层划分对比讨论

利用野外资料、地震资料、煤田钻孔资料以及古生物资料,对松辽盆地外围探区敦化盆地的代表性地层划分方案进行了梳理,通过敦化盆地与周缘盆地之间的对比和分析,得出下列认识:(1)明确了珲春组的时代为始新世—渐新世;(2)指出白垩系上统龙井组地层在敦化盆地内可能是不存在的;(3)将原帽儿山组上段和下段分别划归泉水村组和长财组;(4)认为大砬子组、泉水村组、长财组和屯田营组在敦化盆地内是存在的,并通过盆间岩性地层和古生物地层对比指出大砬子组的时代可能为早白垩世阿普特期(Aptian)—阿尔布期(Albian),长财组时代可能为早白垩世贝利阿斯期—阿普特期;(5)对敦化盆地内几个地方地层名称的使用进行了修正;(6)建立了敦化盆地内目前可供参考使用的地层序列。     

矿物数字博物馆的建设构想与实现

在基于互联网的应用、信息数字化、多种技术发展较为成熟及适应公众需求的基础上,对矿物数字博物馆的建设做了简要的分析,将矿物按矿物一结晶学分类方案将馆藏矿物进行合理的分类,设计了七大功能结构和相应的子结构,并对矿物所要展示的内容设定了标准.建设矿物数字博物馆旨在利用三维技术、多媒体技术、文字信息等,将矿物从宏观的外形到抽象的晶体形态和微观的晶体结构及其最小单位结构通过网络的形式具体展现给观众.矿物数字博物馆的建设可以为人们认知整个矿物世界搭建一个良好的平台,在科研教学、推动国民科学普及教育、培养创新人才方面发挥重要作用.     

中国沿海星虫动物门名录

取1980～1989年间在我国沿海进行星虫动物区系调查的标本和有关资料做了整理、鉴定,共39种,分隶于2纲,4目,6科,12属。其中1种在我国为首次记录。     

Descriptive Analysis and Classification of Benthic Communities in Some Mediterranean Coastal Lagoons (Central Italy)

Abstract. Benthic samples were taken seasonally at 32 stations in five coastal lagoons of Central Italy (Fogliano, Monaci, Caprolace, Fondi, and Lungo) during a two-year period (1982–1984). Composition and distribution of benthic populations in each lagoon as well as seasonal trends of species richness, density, diversity, and redundancy are presented and discussed.
The faunal differentiation appeared to be mainly due to the different degree of water exchange, both with marine and continental systems.     

红树林遥感智能分类方法研究

利用ＧＩＳ信息中的红树林地域分布规律作向导，充分利用械树林区的光谱信息进行红树林植被信息提取。在对比研究常规的红树林图象自理方法的基础上，提出了适用于红树林植被信息遥感监测的智能分类方法。     

利用X射线衍射测定单斜辉石中硬玉组分含量

硬玉是单斜辉石中十分重要的端元组分,是单斜辉石分类的主要基础。利用x射线衍射分析确定的硬玉组分含量计算式为Jd(％)=[A-2.235]×25.741,其中Jd为硬玉组分百分含量,A为2—Theta角为30°(d=2.97)时峰值的相对强度Ⅰ与半高宽的乘积,其计算误差仅6.32％。     

用于数值分类的聚类分析

这里所谓聚类分析包括传统的聚类分析和作者提出的聚类统计检验分析。传统的聚类分析是常用的重要数值分类方法。但是，这个方法由于缺乏显著性检验，在国际上已长期公认是一个在多元统计中并不完整的方法。本文把聚类统计检验分析在其具有显著性检验的优越性上，和传统聚类分析作了对比分析。聚类统计检验分析区分有均匀聚类与中心聚类。前者用（１６）作为聚类判据，后者则用（２７），并且各用相应的公式（１７）－（２１）与（２     

Hydrocarbon Potential of Pre-cenozoic Strata in the North Yellow Sea Basin

The North Yellow Sea Basin ( NYSB ), which was developed on the basement of North China (Huabei) continental block, is a typical continental Mesozoic Cenozoic sedimentary basin in the sea area. Its Mesozoic basin is a residual basin, below which there is probably a larger Paleozoic sedimentary basin. The North Yellow Sea Basin comprises four sags and three uplifts. Of them, the eastern sag is a Mesozoic Cenozoic sedimentary sag in NYSB and has the biggest sediment thickness; the current Korean drilling wells are concentrated in the eastern sag. This sag is comparatively rich in oil and gas resources and thus has a relatively good petroleum prospect in the sea. The central sag has also accommodated thick Mesozoic-Cenozoic sediments. The latest research results show that there are three series of hydrocarbon source rocks in the North Yellow Sea Basin, namely, black shales of the Paleogene, Jurassic and Cretaceous. The principal hydrocarbon source rocks in NYSB are the Mesozoic black shale. According to the drilling data of Korea, the black shales of the Paleogene, Jurassic and Cretaceous have all come up to the standards of good and mature source rocks. The NYSB owns an intact system of oil generation, reservoir and capping rocks that can help hydrocarbon to form in the basin and thus it has the great potential of oil and gas. The vertical distribution of the hydrocarbon resources is mainly considered to be in the Cretaceous and then in the Jurassic.