基于选权拟合法的电离层电子密度层析重构

附加约束的电离层层析算法是解决电离层电子密度反演中不适定问题的主要方法,为避免此类方法中约束权阵的选取不当对电子密度分布重构产生的不良影响,本文将选权拟合法应用到电离层层析成像技术中.该方法特别设计了依据电子密度空间分布特性构造参数权矩阵的方案.新方法有明确的物理意义,挖掘了隐含的信息量,为解决电离层电子密度反演中由于观测数据的不足等因素引起的不适定问题提供了一种新途径,可以得到符合客观实际的结果.数值模拟实验和实测数据的反演结果证实了该算法有效性、可靠性和优越性.     

人工越冬对虾体内寄生纤毛虫——旋毛蟹栖拟阿脑虫,新亚种的记述

报导了从中国对虾(Penaeus orientalis Kishnouye)越冬亲虾血淋巴内分离的盾纤毛目纤毛虫一新亚种,隶属于嗜污科(Philasteridae)拟阿脑虫属(Paranophrys),系蟹栖拟阿脑虫(Paranophrys carcini)一新地理亚种,定名为旋毛蟹栖拟阿脑虫,新亚种(Paranophrys carcini spiralis subsp.nov.)。本工作对该亚种做了蛋白银染色、银浸法、孚尔根染色,以显示其银线系、纤毛下器及细胞核器,并结合扫描电镜对虫体形态作了观察与鉴定。文内对该亚种的形态学作了描述并列表比较了所在属诸种主要性状特征以及本新亚种与相似种在形态特征上的主要差别,以确定新亚种的成立。     

银川盆地中更新世以来的孢粉记录及古气候研究

银川盆地中更新世以来的孢粉记录及据此所重建的古气候参数，揭示了该区中更新世以来的古气候演变特征，其演变经过了温湿→凉湿→温和→冷湿→温干→凉较湿→冷湿→温干→凉润→温较干→温干的变化，并与新疆地区，黄土高原以及深海δ^18O曲线进行了对比，结果表明，各地的古环境变化大致同步，该区由于位置靠西，邻近沙漠，最近地质历史时期的区域性干旱特色明显。     

中国大陆东南边缘海现时地壳运动与地震动力学综合研究

在东亚大陆动力学和西太平洋动力学背景下 ,定量研究中国大陆东南边缘海的现今区域地壳运动、动力学及地震危险性。基于 1994～ 1998年福建 -台北网、中国大陆网、台湾 -吕宋 (菲律宾 )网和东亚大陆及西太平洋的 IGS网等 4种不同空间尺度的 GPS测量结果 ,结合近 10 0年来的强震震源机制解、近 2 0余年来跨断层形变网、精密水准网、激光测距网及原地应力测量等结果 ,以及地球物理数值模拟与地质学成果 ,通过对多层次构造运动的分析、多学科结果的互验互补和整体综合研究 ,获得如下结果 :( 1)本研究区同时存在陆、海相互对进的两种地壳水平运动 :大陆东南沿海 11～ 12 mm/ a向东南、海洋对大陆 3mm/ a向西北以及台湾东海岸 53mm/ a向西北的运动 ;( 2 )台湾岛可能存在着以 2 4°N附近为其旋转轴的右旋运动 ;( 3) GPS和地形变测量求出现今区域应力场主压应力方向为 NW( NWW)向 ,与不同时间尺度的地震学和地质学结果一致 ;( 4 )观测与数值模拟共同证实 ,印度板块和菲律宾海板块对欧亚板块的联合动力作用是导致本区上述地壳运动的原因 ;前者导致的地壳运动速度比后者约大 4倍 ,但前者仅导致准均匀场 ,而后者则可产生变形局部化过程的非均匀场 ,从而为强震孕育提供动力 ;( 5)菲律宾海板块在台湾东侧对欧亚板块     

碧口岩群硅质岩成因及地质意义

碧口块状硫化物矿床直接赋矿主岩硅质岩地质特征及常量、微量、稀土元素组成表明,碧口岩群硅质岩为同火山岩喷流热水沉积成因。碧口岩群硅质岩常量元素富Fe、贫Si,为典型热水沉积成因;其微量元素、稀土元素特征均与现代大洋热水沉积物相似。热水硅质岩Eu异常与古流体温度存在密切关系,Eu／Eu特征显示筏子坝、铜矿坡为较高温度喷流产物,而大茅坪、黑窝子、铜矿梁、周家坡则为较低温度下的产物。     

海底声学底质分类的ELM-AdaBoost方法

基于自适应增强算法（AdaBoost）结合极限学习机（ELM）,通过迭代、调整、优化ELM分类器之间的权值,从而构建了具有强鲁棒性、高精度的ELM-AdaBoost强分类器,增强了现有的ELM分类器的稳定性。以珠江口海区侧扫声呐图像为实验数据,对礁石、砂、泥3类典型底质进行分类识别,该方法的平均分类精度超过90%,优于单一ELM分类器的平均分类精度85.95%,也优于LVQ、BP等传统分类器,且在分类所耗时间上也远少于传统分类器。实验结果表明,本文构建的ELM-AdaBoost方法可有效应用于海底声学底质分类,可满足实时底质分类的需求。     

基于耳石微结构的西北太平洋秋刀鱼(Cololabis saira)年龄与生长研究

根据2014年6月和10-11月在西北太平洋公海采集的168尾秋刀鱼样本,基于耳石微结构并结合基础生物学数据,鉴定了秋刀鱼的日龄,推算了孵化日期,并建立了生长模型和生长率。研究发现:耳石微结构从核心到透明区边缘,轮纹宽度由宽至窄,亮度由暗至明,标记轮多分布在透明区。日龄范围为204~549 d,优势日龄组为231~290 d和381~470 d,日龄最小个体体长207 mm,体质量39 g,日龄最大个体体长291 mm,体质量131 g。孵化日期为2012年12月至2014年4月,孵化高峰期出现在1-3月和8-10月,初步推算秋刀鱼主要分为春生群和秋生群产卵群体。体长和体质量生长模型符合Logistic生长模型。体长平均绝对生长率和相对生长率别为0.224 mm/d和0.000 88,绝对生长率随着日龄增加而减小。体质量平均绝对生长率和相对生长率别为0.293 g/d和0.003 25,最大绝对生长率（0.504 mm/d）和最大相对生长率（0.004 86）出现在351~400 d。     

Effects of engineering geological condition on response of suspension bridges

The geological condition may vary largely from one support to another for a long span bridge. The effect of geological variability and spatial variation produced by propagation and coherence loss of seismic ground motion on the response of long span suspension bridges is investigated in this article. The case of Jiangyin Yangtse River Bridge, a suspension bridge with a main span of 1385 m, is studied in detail. Numerical results show that the geological difference at the supports has a significant effect on the seismic response of long span suspension bridges and, that it is unacceptable to neglect the difference. The effect of the propagation of seismic ground motion on the response of long span suspension bridges is far more important than that of the coherence loss. The response of bridges varies greatly with the horizontal apparent velocity in a very complex way, and there is a critical horizontal velocity for a given response quantity.     

Estimation of potential evapotranspiration over the Yellow River basin: reference crop evaporation or Shuttleworth–Wallace?

Potential evapotranspiration (PET) is a key input to hydrological models. Its estimation has often been via the Penman–Monteith (P–M) equation, most recently in the form of an estimate of reference evapotranspiration (RET) as recommended by FAO‐56. In this paper the Shuttleworth–Wallace (S–W) model is implemented to estimate PET directly in a form that recognizes vegetation diversity and temporal change without reference to experimental measurements and without calibration. The threshold values of vegetation parameters are drawn from the literature based on the International Geosphere–Biosphere Programme land cover classification. The spatial and temporal variation of the LAI of vegetation is derived from the composite NOAA‐AVHRR normalized difference vegetation index (NDVI) using a method based on the SiB2 model, and the Climate Research Unit database is used to provide the required meteorological data. All these data inputs are publicly and globally available. Consequently, the implementation of the S–W model developed in this study is applicable at the global scale, an essential requirement if it is to be applied in data‐poor or ungauged large basins. A comparison is made between the FAO‐56 method and the S–W model when applied to the Yellow River basin for the whole of the last century. The resulting estimates of RET and PET and their association with vegetation types and leaf area index (LAI) are examined over the whole basin both annual and monthly and at six specific points. The effect of NDVI on the PET estimate is further evaluated by replacing the monthly NDVI product with the 10‐day product. Multiple regression relationships between monthly PET, RET, LAI, and climatic variables are explored for categories of vegetation types. The estimated RET is a good climatic index that adequately reflects the temporal change and spatial distribution of climate over the basin, but the PET estimated using the S–W model not only reflects the changes in climate, but also the vegetation distribution and the development of vegetation in response to climate. Although good statistical relationships can be established between PET, RET and/or climatic variables, applying these relationships likely will result in large errors because of the strong non‐linearity and scatter between the PET and the LAI of vegetation. It is concluded that use of the implementation of the S–W model described in this study results in a physically sound estimate of PET that accounts for changing land surface conditions. Copyright © 2006 John Wiley & Sons, Ltd.