模拟酸雨及施磷对水稻土中铅的淋溶特性影响

采用pH=3.0、pH=4.5与对照pH=5.6的3种模拟酸雨淋溶土柱的方法,研究酸雨及含磷酸雨淋溶下合肥市郊水稻土中铅的释放特征与规律。结果表明:经过相当于1 980 mm降水量的淋溶后,铅释放量总体上表现为随着酸雨强度增加累积淋溶量也增加的现象。酸雨作用下,施磷量越多土壤中铅的淋失总量越大。在酸雨及施磷条件下,大兴地区黄褐土中Pb较义城地区水稻土中易于淋失。     

汞元素的石油地质意义

油气中都含有汞元素组分,汞的物理化学性质决定其可以从油气藏中向上垂向运移,根据采样介质类型及样品预处理的手段不同,地表中汞的分析方法可分为壤气、热释汞及土壤总汞分析方法。壤气汞、热释汞及土壤总汞指标都有着很好的示油气意义,同时也有着示断裂带的地质意义。     

油气化探同步荧光技术中的若干问题

在试验的基础上,对油气化探固定波长同步荧光测试技术中光谱图的认识、波长差与方法灵敏度的关系以及同步荧光与其他荧光方法的内在关系等问题作了深入的研究和探讨,澄清了该技术在实际应用工作中较易产生混淆的几个问题,旨在推动该项技术在油气化探工作中的进一步应用和发展.     

Magnetite-Fluorite Rock: A New Rock Type of Hot Water Sedimentation

The new type hot water sedimentary rock - magnetite-fluorite rock occurs as quasi-layers inflat parts of contact zones between rock body and strata in Bamiaushan of Changshan County,Zhejiang Province, China. The main mineral assemblage is fluorite magnetite cassiterite. The rockshows typical laminated structure and obvious mosaic texture. Its formation temperature is between123℃-160℃, averaging at 142℃. The major chemical composition of the rock includes CaF2, SiO2,Al2O3, FeO, and Fe2O3; the high-content microelement association includes W, Sn, Be, Rb, Sr, S, andCl; and the total content of REE is low (∑REE between 35.34x10-6-38.35x10-6), showing LREEenrichment type of distribution pattern. Diagenesis: driven by the tectonic stress, the formation waterheated in the deep strata had moved along the fissures or fractures in strata and had extractedcomponents from the strata on the way, and finally stagnated in the flat parts of contact zones betweenrock body and strata. With drop in temperature, magnetite and fluorite were separated from the hotwater and precipitated alternately, forming this hot water sedimentary rock with new typemineralogical composition, typical laminated structure, obvious mosaic texture and sub-horizontaloccurrence. The characteristics of the new type mineralogical composition, sedimentary tectonicenvironment and chemical composition are different from that of the well-known traditionalhydrothermai sedimentary rocks.     

A New Genus and Species of Sapeornithidae from Lower Cretaceous in Western Liaoning, China

Sapeornithidae is a basal pygostylian family of Early Cretaceous primitive birds, in which only one genus and species, Sapeornis chaoyangensis, was reported before. This paper deals with a new genus and species of this family, Didactylornis jii gen. et sp. nov., which was unearthed from the Early Cretaceous Jiufotang Formation in western Liaoning. According to our phylogenetic analyses, both Didactylornis gen. nov. and Sapeornis form a sister group, which is basal to the clade formed by Confuciusornis and all the more derived birds, and more closely related to the short-tailed pygostylian birds than to the long-tailed avialian birds. The early history of pygostylian birds is poorly documented except for the studies of Confuciusornis and Sapeornis. The discovery ofDidactylornisjii gen. et sp. nov. adds the new material for the study on the early evolution of birds.     

南海北部深水盆地沉积-构造的差异性及其油气意义

南海北部深水区自西向东依次分布着琼东南盆地、珠江口盆地、台西南盆地等新生代被动陆缘盆地,这些盆地经历了大致相当的从裂陷到坳陷的构造演化史,但在张裂活动过程中存在着明显的沉积-构造的差异性。构造沉降特征分析显示:在同一构造带上自西向东有盆地主要构造沉降发生的时段逐步变晚的趋势;在不同构造带上自北向南有盆地主要构造沉降发生的时段逐步变晚的趋势。这种沉积-构造的差异性对烃源岩的发育类型、分布及生储盖组合等方面有明显的控制作用,表现为:裂谷期构造沉降幅度大的盆地,陆相烃源岩发育,以陆生陆储陆盖型成藏组合为主;裂后期构造沉降幅度大的盆地,海相烃源岩发育规模较大,海生海储海盖型成藏组合及混生海储海盖型生储盖组合所占分量逐渐增多。推测渐新统湖相-湖沼相及海陆过渡相源岩和中新统海相烃源岩应是南海北部深水区油气的主要来源,陆生海储海盖型、海生海储海盖型及混生海储海盖型生储盖组合应是深水区基本生储盖组合类型。     

层次分析法在生态环境综合评价应用中的优化

层次分析法（Analytical Hierarchy Process,AHP）,是一种常用的系统分析与决策方法,但在应用于青藏高原区域生态环境综合评价时,由于因素的权重值只能为正数,影响了表达效果。为此,本文对其进行了优化,改进了构造判断矩阵时的赋值方法,在评价过程中引入了负数。实验证明,优化后的方法能准确地评价青藏高原的生态环境。     

区域似大地水准面确定的最小二乘支持向量机方法

支持向量机(SVM)是近年来发展起来的机器学习的新方法,它较好地解决小样本、非线性、高维数、局部极小点等实际问题.文中研究支持向量机的拓展算法--最小二乘支持向量机(LSSVM),并将其应用于确定大面积复杂似大地水准面.通过工程实例并与神经网络模型和二次曲面多项式拟合模型相比较,验证确定区域似大地水准面的LSSVM方法的有效性.     

天宝GEOXT数据采集模式及精度研究

随着经济的不断发展,移动GIS越来越受到人们的关注,而GEOXT的出现正是符合这一发展趋势的产物。GEOXT这一款仪器将GPS与GIS结合在一起,利用GPS技术得出GIS的成果。文中在说明天宝GEOXT数据采集系统配置及特点的基础上,通过实验总结了数据采集的3种模式：单机码相位测距、后差分改正和实时差分改正数据采集,并对数据采集的技术流程、点位精度、特点和应用范围进行了阐述。最后对不同采集时间间隔对精度的影响进行了试验研究。     

Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization

Exploiting hyperspectral imagery without prior information is a challenge. Under this circumstance, unsupervised target detection becomes an anomaly detection problem. We propose an effective algorithm for target detection and discrimination based on the normalized fourth central moment named kurtosis, which can measure the flatness of a distribution. Small targets in hyperspectral imagery contribute to the tail of a distribution, thus making it heavier. The Gaussian distribution is completely determined by the first two order statistics and has zero kurtosis. Consequently, kurtosis measures the deviation of a distribution from the background and is suitable for anomaly/target detection. When imposing appropriate inequality constraints on the kurtosis to be maximized, the resulting constrained kurtosis maximization (CKM) algorithm will be able to quickly detect small targets with several projections. Compared to the widely used unconstrained kurtosis maximization algorithm, i.e., fast independent component analysis, the CKM algorithm may detect small targets with fewer projections and yield a slightly higher detection rate.