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     

九龙江口红树林上附着动物的生态

福建九龙江口红树林附着动物７种，白脊藤壶Ｂａｌａｎｕｓ ａｌｂｉｃｏｓｔａｔｕｓ和白条地藤壶Ｅｕｒａｐｈｉａ ｗｉｔｈｅｒｓｉ在数量上占绝对优势，是危害红树的主要附着动物。附着动物在河口红树林区的数量分布随着盐度的降低而减少，其栖息密度和生物量的高峰期在夏，秋两季。生长茂密的红树林（郁蔽度大于０．５），附着动物主要分布于水流畅通的向海边缘和潮沟边缘的红树上。水流畅通程度是影响附着动物在红树林区向纵     

Spatial Variation in the Structure of Kelp Forest Communities Along a Wave Exposure Gradient

Abstract. Four sites were sampled in kelp (Macrocysiis pyrifera) forests occupying rocky bottom habitats along a wave exposure gradient in central California. Consistent betwecn-site differences were found in the three major structural elements - the surface canopy, the undcrstory assemblage, and the ground cover/turf assemblage - of kelp forest communities. Macrocysiis pyrifera was found at all four sites. Nereucyslis tuelkeana only at the most exposed site. The understory kelps Laminaria setchellii and Pterygopltora californica were also characteristic of exposed sites. Articulated coralline algae were more abundant at exposed sites than protected, while fleshy red algae showed the opposite pattern. All four study sites were located along 8.5 km of coastline, and thus were assumed to have available to them the same species pool for colonization. The substrate composition was the same and the amount of unconsolidated substrate was similar at all four sites. We suggest that exposure to wave-generated water motion, through its influence on the surface canopy and therefore on the amount of light reaching the bottom, is responsible for these between-site differences.     

简化模糊H-ARTMAP神经网络在高光谱遥感分类中的应用

人工神经网络作为一种不需估计类别分布参数的遥感影像分类方法,能够克服分类中的不确定性,提高分类精度。模糊ARTMAP人工神经网络具有稳定、泛化性能好、支持增量式学习等特点,通过对简化模糊AR-TMAP神经网络和H-ARTMAP神经网络的分析和集成,构造了一种用于高光谱遥感影像分类的简化模糊H-ART-MAP网络。实验证明该方法在分类效率、运算时间和分类精度等方面都优于最大似然分类、BP神经网络、最小距离分类、光谱角制图模型等分类方法。