基于核Fisher判别的碎屑岩储层流体识别

流体识别是致密碎屑岩储层预测中的难点之一.本文把核Fisher判别分析用于致密碎屑岩储层流体识别,首先较全面的介绍了核Fisher判别分析理论基础,再利用测井属性参数计算出弹性属性参数,并将这两类参数作为特征变量,最后进行核Fisher判别分析建模和致密碎屑岩储层流体识别.四川盆地XC地区致密碎屑岩储层流体识别结果表明,对致密碎屑岩储层中的气层和气水同层两类线性不可分的样本数据,使用核Fisher判别分析均能实现分离,说明该方法在识别致密碎屑岩储层流体识时准确率高,具有很好的应用前景.     

应用模式识别方法预测油气储集层

本文论述了模式识别在地震油气解释中的应用,并提出了一套实现的方法.在地震资料处理中提出了信息保持的思想和处理方法.从特殊处理后的地震记录中提取多种地震特征,这些特征主要来自地震道的自回归系数、最大熵频谱和自相关函数.利用聚类分析和判别分析方法对地震特征向量进行分类,实例表明,本文提出的地震模式识别方法能有效地划分油气储集层,即使在油层较薄或是反射变化不明显的地区也能奏效.     

南堡5号构造火山岩岩性识别技术研究

南堡5号构造具有火山多期喷发、岩相岩性复杂的地质特征,岩性识别困难.本文在取心分析、薄片鉴定、电镜扫描的基础上,分析总结不同岩性的测井响应特征,综合应用常规测井、ECS测井和成像测井资料,采用"结构"-"成分"-"粒级"的三级分类方法,利用交会图技术进行岩性识别.同时为能利用多条测井曲线识别岩性,并能避免分析问题的难度和复杂性,采用自动判别分析、主成分分析方法进行岩性自动识别,取得了较好的效果.     

Bayes判别分析法与地震短临预测

建立了一套完整的Bayes判别分析方法,并提出了明确的衡量综合预测结果所冒风险大小的风险代价比Kdn该方法可用于不同时间尺度的地震综合预测。选取云南地区1994～1996年的水氡观测资料,采用X2统计检验法识别前兆异常,利用Bayes判别分析方法对云南地区的强震活动性进行了内符检验和外推预测。在风险代价比Kdn取4的情况下,内符检验的R值可达0．54,外推时空占有率0．07,获得了满意的效果。     

基于贝叶斯判别分析的地震应急响应等级初判方法

破坏性地震发生后, 相关部门须启动适当的应急响应等级并按照应急预案开展救灾。 对响应等级的判断可视为对一个地震灾害事件严重程度分类判别的问题。 贝叶斯判别分析法是一种应用广泛的判别分析统计方法, 本文论述了贝叶斯判别分析法在判断地震应急响应等级中的应用; 通过对1949—2008年中国大陆成灾震例的整理分析, 以震级、 震区人口密度等地震有关信息为依据, 建立起地震应急响应等级的分类判别规则, 从而提供了一种简便、 快速的地震应急响应等级初判方法; 经检验该方法是有效的。     

脑转移瘤的MRI研究进展

脑转移瘤是颅内肿瘤的一种,多指原发于身体其他部位的肿瘤细胞通过某种途径转移到颅内,并在颅内形成新的病灶。早期诊断及鉴别脑转移至关重要,以便及时治疗,延长患者生命及提高其生存质量。MRI具备无辐射、多方位、多序列及软组织分辨率高等优点,尤其是功能成像的发展及新技术的应用使其在脑转移瘤的诊断、鉴别诊断、监测和评估预后中发挥了重要作用。本文就MR功能成像及新技术在小转移灶的检测、脑转移的鉴别诊断及疗效监测中的应用予以综述。      

多元统计组合模型在地震综合预报中的应用

针对目前地震综合预报中的一些问题，利用近30年来迅速发展的多元统计分析中主成分分析、判别分析组成多元统计组合模型，在众多的地震预报指标（预报因子）中采用信息最大化方法，选择对中期预测信息累积贡献率大于90%地震预报指标，分别进行相关分析、预测、检验，最终应用马氏距离判别作外推综合预报；并以华北地区（30~42N，108~125E）为例进行模型的应用检验，初步研究已取得了较好的效果.      

能谱CT成像瞬时切换技术对于肺结节的临床价值

目前的研究已证实能谱CT成像技术可用于评价病灶性质的判断。对于肺结节,能谱CT成像技术有助于肺结节良恶性的鉴别;对于肺癌患者,能谱CT成像技术也可以提供有关定性、分期及疗效监测的信息。本文对目前肺结节的能谱CT成像技术的临床应用进行综述;包括肺结节的能谱CT成像扫描技术、肺结节的鉴别诊断、肺癌分期、与临床指标的相关性以及其在疗效监测等方面的应用。      

高分辨磁共振血管壁成像在颅内动脉狭窄病因鉴别中的研究进展

颅内动脉狭窄（ICAS）导致的缺血性脑卒中,具有高致残率和致死率的特点。临床上常规检查方法包括经颅多普勒超声、CT血管造影、磁共振血管造影和X射线数字减影血管造影等,上述方法都是针对血管狭窄,不能显示血管壁病变。高分辨磁共振血管壁成像技术（HR-VWI）是一种新出现的影像学检查手段,能够无创性显示血管壁病变,对判断ICAS病变性质具有重要价值。本文针对HR-VWI在ICAS病因鉴别中的应用研究进展进行综述。     

基于HRCT诊断模型鉴别纯磨玻璃结节样肺腺癌浸润程度研究进展

鉴别肺纯磨玻璃结节样肺腺癌的浸润程度对于临床管理及改善患者预后有重要的指导意义,目前已开发出多种诊断模型用于此。本文结合国内外相关文献,介绍基于HRCT表现的诊断模型在鉴别肺纯磨玻璃结节样肺腺癌的浸润程度研究现状及价值评估等,对其研究进展及临床应用前景进行综述。      

鲚属两种群的形态变异及综合判别

测量了代表刀鲚种群和湖鲚种群形态特征的传统可量性状和框架参数,采用主成分分析法和逐步判别法,对它们进行形态综合分析.结果表明:两种群的形态差异主要是受额部有鳞部最前缘到背鳍起点的距离所影响的;所有25个形态参数数据判别分析,表明两种群形态差异极显著(P<0.01),判别准确率100％;利用挑选后的9项参数判别分析,表明两种群的形态差异极显著(P<0.01),判别准确率P1是95％-100%,P2是95.2％-100％,综合判别率为97.5％.对各形态参数进行单因子方差分析,计算各参数的差异系数,根据Mayr提出的75％规则,认为它们的形态差异仍然是种内不同地理种群的差异,还没有上升到亚种水平.     

基于矩阵模型进行抗荧光干扰的蓝藻原位检测方法

藻蓝蛋白与叶绿素a作为特征色素常用于表征蓝藻的生物量.藻蓝蛋白与叶绿素a通常用荧光光谱或原位荧光强度检测,但是在实际水体中藻蓝蛋白与叶绿素a的荧光效应相互干扰会影响测量精度,极大限制了该方法的应用.本文根据朗伯比尔定律,利用二阶矩阵模型设计了一套在荧光检测过程中"激发光-发射光"优化抗干扰的波长选择方法,并利用多元线性回归分析建立了两种色素浓度与荧光强度之间的多元校正线性模型,实验验证了所筛选蓝藻荧光分析法中特定激发光和发射光波长的有效性.本研究实现了两种色素检测过程中的成功解耦,可在藻蓝蛋白的原位检测中排除水体中藻蓝蛋白与叶绿素a之间的相互干扰,提高藻蓝蛋白和叶绿素a的原位检测精度,为开发便携式蓝藻检测传感器时的波长选择提供理论基础.     

The distribution of large mixotrophic ciliates (Stentor) in deep North Patagonian lakes (Chile): First results

This study showed first results on the geographical distribution of mixotrophic ciliates of the genus Stentor in the Chilean North Patagonian Lake District. Thirteen deep North Patagonian lakes were sampled during 2004 and 2005, and important ecological parameters as nutrients, light climate, chlorophyll a and all plankton groups were analysed. The data were evaluated using correlation, cluster and discriminant function analyses.In four of 13 lakes, Stentor was an important constituent of the plankton community and contributed significantly to the total zooplankton biomass. It coinhabited lakes with calanoid copepods (Boeckella, Tumeodiaptomus) and small cladocerans (Eubosmina, Ceriodaphnia). Stentor was negatively correlated with cyclopoid copepods and large cladocerans. Cyclopoid copepods were a very good predictor to discriminate between lakes with and without Stentor. It is suggested that cyclopoid copepods have top-down impact on Stentor.     

微囊藻(FACHB-905)和鱼腥藻(FACHB-82)响应温度变化的功能特性权衡

微囊藻和鱼腥藻是水华蓝藻的两个主要类群,两种藻均可调节自身形态及生理特性来维持快速生长,这也是两个类群蓝藻水华维持的基础.本研究分析了微囊藻(FACHB-905)和鱼腥藻(FACHB-82)生长、形态及叶绿素荧光参数对温度变化的响应,以及生长与特性间的权衡关系.结果显示:该微囊藻细胞直径随温度升高而降低,但是比增长速率维持稳定,表明在高温条件下,其可能通过减小细胞大小的方式维持比增长速率;该鱼腥藻在不同温度下,平均细胞直径和藻丝长度呈现显著变化,高温条件下,其维持较高的比增长速率,但是细胞直径增大,藻丝长度缩短,这可能是其调节自身形态以维持较高比增长速率的方式.该微囊藻和鱼腥藻分别在细胞较大和较小时,藻细胞潜在的光化学效率更高.本研究表明这两种蓝藻可以通过权衡藻细胞形态、生理特性两者与生长速率之间的关系来适应温度的变化以达到自身最佳的生长状态,微囊藻(FACHB-905)通过调节细胞大小和光合活性来维持生长优势,而鱼腥藻(FACHB-82)则通过细胞大小、藻丝长度和光合活性的调节来维持生长优势.本研究的结果有助于提升对于水华蓝藻生长维持机制的认识.     

Rescaled range ( R/S ) analysis on seismic activity parameters

The rescaled range (R/S) analysis, proposed by Hurst, is a new statistical method. Being different from traditional statistical method, R/S analysis can provide the information of maximum fluctuation (range) of statistical parameters. At present paper, several modern instrumental earthquake catalogues in different spatial scale, temporal scale, and with different seismic activity background are studied, and R/S method is used to analyze the variation of range of seismic parameters such as earthquake frequency, and earthquake time interval. For different seismic parameters, the ratio of range to standard deviation — R/S is a power law function of the length of time, and the exponent H of power law is always greater than 0.5. As we know, H=0.5 is the characteristics of all ideal random processes. Our results indicate that earthquake series is not an ideal Poisson process, on the contrary, the earthquake as a phenomenon bears dual characteristics of randomicity and regularity, and the greater H departs from 0.5, the more regularity the time series will show, and vice versa. With time scale changing, one can give the conservative estimate of the fluctuation, which might occur in a relatively long time scale, only by using the limited and known time records. Foundation item: State Natural Science Foundation of China (40074023).     

Application of Fisher method to discriminating earthquakes and explosions using criterion m b/ M S

We try to give a quantitative and global discrimination function by studying m _b/M _S data using Fisher method that is a kind of pattern recognition methods. The reliability of the function is also analyzed. The results show that this criterion works well and has a global feature, which can be used as first-level filtering criterions in event identification. The quantitative and linear discrimination function makes it possible to identify events automatically and achieve the goal to react the events quickly and effectively. Contribution No.05FE3018, Institute of Geophysics, China Earthquake Administrtion.     

同形溞(Daphnia similis)对幽蚊幼虫反捕食策略的模拟研究

枝角类溞会由于捕食者的存在而发生形态、行为、生活史等的变化.通过为期10 d对太湖春、夏季优势种同形溞(Daphnia similis)在有幽蚊幼虫(CL)、无幽蚊幼虫(CK)及培养过幽蚊幼虫的过滤水(FL)3个环境水平的模拟实验,发现同形溞在有幽蚊幼虫和培养过幽蚊幼虫的过滤水处理下平均体长、累积产仔数及平均产仔数均显著大于无幽蚊幼虫组,表明幽蚊幼虫释放的信息素能改变同形溞的体长、产仔数等生活史参数,这种改变会降低同形溞被捕食的风险.说明在自然环境下,幽蚊幼虫等无脊椎捕食者能通过直接捕食和信息素的间接作用共同影响枝角类种群.     

Alien cyanobacteria Anabaena bergii var. limnetica Couté et Preisig from Lithuania: Some aspects of taxonomy, ecology and distribution

The anthropogenic eutrophication of surface waters and the global climate warming promoted some bloom-forming tropical cyanobacteria, including Anabaena, distribution northwards. Anabaena bergii var. limnetica was for the first time recorded in Lithuania from the hypertrophic Lake Gineitišk?s in 2008. It developed when the water temperature reached its annual maximum (July–August); its highest biomass (0.26 mg L⁻¹) was reached at the end of July. Akinetes formation started in the middle of August. The morphological variability of A. bergii var. limnetica morphospecies is presented. The morphological, ecological differences and distribution of A. bergii var. limnetica and the related morphospecies A. bergii, A. bergii f. minor, Anabaena minderi are discussed.     

The empirical relationships between M s, m b and M L for China and vicinity

Data from 753 earthquakes are used to determine a relationship between surface-wave magnitude (M _s) and bodywave magnitude (m _b), and from 541 earthquakes to determine a relationship between surface-wave magnitude (M _s) and local magnitude (M _L) for China and vicinity: M _s=0.9883 m _b-0.0420, M _s=0.9919 M _L-0.1773. The relationship of M _s versus m _b is obtained for 292 events occurred in the Chinese mainland in the time period from 1964 to 1996, 291 events occurred in Taiwan in the time period from 1964 to 1995 and 170 events occurred in the surrounding area. Standard deviation of the fitting is 0.445. Relationship of M _s versus M _L is obtained for 36 events occurred in the Chinese mainland, 293 events occurred in Taiwan, China and 212 events occurred in the surrounding area. The total amount is 541 events. Standard deviation of the fitting is 0.4673. The uncertainties of the converted M _s in different magnitude intervals can be estimated using complementary cumulative distribution function (CCDF). In the relationship of M _s versus m _b, taking ±0.25 as a range of uncertainties, in magnitude interval m _b 4.0–4.9, the probabilities for the converted M _s taken value less than (M _s-0.25) and more than (M _s+0.25) are 17% and 27% respectively. Similarly, we have probabilities for m _b 5.0–5.9 are 34% and 20% and that for m _b 6.0–6.9 are 11% and 47%. In the relationship of M _s versus M _L, if the range of uncertainties is still taken as ±0.25, the corresponding probabilities for magnitude interval M _L 4.0–4.9 are 22% and 38%, for M _L 5.0–5.9 are 20% and 15% and for magnitude interval M _L 6.0–6.9, are 15% and 29%, respectively. The relationships developed in this paper can be used for the conversion of one magnitude scale into another magnitude scales conveniently. The estimation of uncertainties described in this paper is more accurate and more objective than the usual estimation expressed by deviation. The estimations described in this paper indicate various dispersions in different magnitude intervals of original data. The estimations of uncertainties described by probabilities can be well connected with the total estimations of uncertainties in seismic hazard assessment.