辽宁水泉金矿综合信息找矿模型及预测

通过对辽宁水泉金矿的基础地质研究和综合找矿信息分析，并根据该矿区资源危机，缺乏后备金矿储备的实际情况建立了水泉金矿综合信息找矿模型。对远景成矿靶区进行了初步圈定，为详细地质勘查、扩大金矿资源提供了依据。     

Regionalization of unit hydrograph parameters: 1. Comparison of regression analysis techniques

Hydrologic regionalization is a useful tool that allows for the transfer of hydrological information from gaged sites to ungaged sites. This study developed regional regression equations that relate the two parameters in Nash's IUH model to the basin characteristics for 42 major watersheds in Taiwan. In the process of developing the regional equations, different regression procedures including the conventional univariate regression, multivariate regression, and seemingly unrelated regression were used. Multivariate regression and seeming unrelated regression were applied because there exists a rather strong correlation between the Nash's IUH parameters. Furthermore, a validation study was conducted to examine the predictability of regional equations derived by different regression procedures. The study indicates that hydrologic regionalization involving several dependent variables should consider their correlations in the process of establishing the regional equations. The consideration of such correlation will enhance the predictability of resulting regional equations as compared with the ones from the conventional univariate regression procedure.     

The organisation of fish assemblages in the regulated Lima basin, Northern Portugal

In order to understand the structure of fish assemblages in the modified Lima basin (Northern Portugal), two distinct datasets concerning the presence and abundance of fish species were subjected to multivariate analysis. On the River Lima two types of flow modification are present within kilometres of one another: (a) a reduced and constant flow due to hypolimnetic release; and (b) an intense and irregular flow. A comparison of their influence on fish assemblages revealed a gradient of assemblage types from tributaries to main river sites. The latter were characterised by a strong dominance of cyprinids, particularly Iberian barbel (Barbus bocagei). The former harboured two kinds of fish assemblages: those closer to the river mouth were dominated by the cyprinids Iberian chub (Squalius carolitertii) and Iberian nase (Chondrostoma polylepis), which were also frequently present in the main river; while in those further upstream the predominant species was the brown trout (Salmo trutta). Although explanatory variables such as distance from source, altitude, substrate coarseness and width were the primary correlates of fish assemblage composition, dam construction and flow regulation also had a significant effect upon assemblage structure, particularly by: i) reducing the importance of migratory species; ii) constraining the presence of trout in the regulated segments; and iii) simplifying the community, especially in the case of the constant and reduced flow regime.     

Fitting the Linear Model of Coregionalization by Generalized Least Squares

In geostatistical studies, the fitting of the linear model of coregionalization (LMC) to direct and cross experimental semivariograms is usually performed with a weighted least-squares (WLS) procedure based on the number of pairs of observations at each lag. So far, no study has investigated the efficiency of other least-squares procedures, such as ordinary least squares (OLS), generalized least squares (GLS), and WLS with other weighing functions, in the context of the LMC. In this article, we compare the statistical properties of the sill estimators obtained with eight least-squares procedures for fitting the LMC: OLS, four WLS, and three GLS. The WLS procedures are based on approximations of the variance of semivariogram estimates at each distance lag. The GLS procedures use a variance–covariance matrix of semivariogram estimates that is (i) estimated using the fourth-order moments with sill estimates (GLS₁), (ii) calculated using the fourth-order moments with the theoretical sills (GLS₂), and (iii) based on an approximation using the correlation between semivariogram estimates in the case of spatial independence of the observations (GLS₃). The current algorithm for fitting the LMC by WLS while ensuring the positive semidefiniteness of sill matrix estimates is modified to include any least-squares procedure. A Monte Carlo study is performed for 16 scenarios corresponding to different combinations of the number of variables, number of spatial structures, values of ranges, and scale dependence of the correlations among variables. Simulation results show that the mean square error is accounted for mostly by the variance of the sill estimators instead of their squared bias. Overall, the estimated GLS₁ and theoretical GLS₂ are the most efficient, followed by the WLS procedure that is based on the number of pairs of observations and the average distance at each lag. On that basis, GLS₁ can be recommended for future studies using the LMC.     

Texture and petrology of modern river, beach and shelf sands in a volcanic back-arc setting, northeastern Japan

Abstract The focus in the present study is on characterizing spatial patterns of textural and petrological variabilities, and on evaluating mechanisms influencing the textural and petrological components of modern river, beach and shelf sands in a volcanically active back‐arc tectonic setting. Abashiri Bay and the surrounding area in eastern Hokkaido, Japan, has volcanic source land within a back‐arc region associated with subduction of the Pacific Plate beneath the Okhotsk (North American) Plate. A total of 41 river, beach and shelf sands were obtained for grain‐size and modal composition analyses. Multivariate analytical techniques of hierarchical cluster and principal component analyses were performed on the textural and petrological data for investigating relations among quantitative variables. On the basis of grain‐size data, four sedimentary zones were identified: zone I, palimpsest zone; zone II, relict zone; zone III, modern (proteric) zone; zone IV, coastal sedimentary zone. All sands are feldspatholithic and quartz‐deficient. The framework (quartz, feldspar and rock fragment) modal compositions were also classified into four clusters, A–D. The characteristic components of each cluster are as follows: cluster A, felsic volcanic rock fragments; cluster B, andesitic–basaltic volcanic rock fragments; cluster C, mixed or plagioclase; cluster D, sedimentary rock fragments. Almost all sands in western and central Abashiri Bay belong to cluster A, where the original compositions are influenced by Kutcharo pyroclastic flow deposits. Andesitic–basaltic lava and Neogene volcaniclastic and sedimentary rocks have a major influence on the compositions of shelf sands in eastern Abashiri Bay. The modal compositions are basically controlled by the source lithology. Compositional maturity (percentage of quartz to feldspar and rock fragments; Q/FR%) slightly increased, in order, from river (1.2), zone IV (coastal, 1.7), zone II (relict, 2.2), zone I (palimpsest, 3.6), to zone III (modern proteric, 7.0). Greater maturity in the recycled sediments is indicative of weathering under the sea or abrasion by transportation induced by sea‐level fluctuations, waves, or sea currents. Several controlling factors – (i) source lithological; (ii) mineralogical; (iii) climatic; and (iv) geomorphological controls – might still cause low maturity through all sedimentary zones other than the continental margin sands previously reported.     

Conditional Simulation of Random Fields with Bivariate Gamma Isofactorial Distributions

This work focuses on a random function model with gamma marginal and bivariate isofactorial distributions, which has been applied in mining geostatistics for estimating recoverable reserves by disjunctive kriging. The objective is to widen its use to conditional simulation and further its application to the modeling of continuous attributes in geosciences. First, the main properties of the bivariate gamma isofactorial distributions are analyzed, with emphasis in the destructuring of the extreme values, the presence of a proportional effect (higher variability in high-valued areas), and the asymmetry in the spatial correlation of the indicator variables with respect to the median threshold. Then, we provide examples of stationary random functions with such bivariate distributions, for which the shape parameter of the marginal distribution is half an integer. These are defined as the sum of squared independent Gaussian random fields. An iterative algorithm based on the Gibbs sampler is proposed to perform the simulation conditional to a set of existing data. Such ‘multivariate chi-square’ model generalizes the well-known multigaussian model and is more flexible, since it allows defining a shape parameter which controls the asymmetry of the marginal and bivariate distributions.     

中国沿海多鳞四指马鲅(Eleutheronema rhadinum)与四指马鲅(E. tridactylum)形态与遗传位点差异分析

多鳞四指马鲅(Eleutheronema rhadinum)与四指马鲅(Eleutheronema tridactylum)是四指马鲅属(Eleutheronema)中的名贵经济鱼类,具有良好的养殖开发前景。本文对中国沿海多鳞四指马鲅与四指马鲅群体的26个形态特征值进行了多变量比较分析,提取了7个主成分,累计贡献率达到91.112%,前三个主成分贡献率分别为28.759%、21.467%、15.469%。多鳞四指马鲅与四指马鲅形态差异主要体现在头背部、尾柄部、背腹轴及头尾轴的特征。利用4个形态学参数建立了2群体判别公式,综合判别准确率高达100%,可作为多鳞四指马鲅与四指马鲅物种资源的初步判定方法。另外,利用简化基因组测序开发出多鳞四指马鲅与四指马鲅SNP标记69207个、In Del标记12884个,丰富了四指马鲅属鱼类遗传结构研究数据。本研究为进一步开展四指马鲅数属物种资源评估与保护、选育、功能基因研究提供基础资料。     

日本囊对虾(Marsupenaeus japonicus)秋繁仔虾形态表型与抗流性能间的相关性

于水温(18.0±1.0)°C、盐度20、pH 8.1±0.2条件下,以水流为胁迫因子(时长1min),以日本囊对虾秋繁同生群仔虾[总长(7.643±0.639)mm]为实验对象,以溢水口(实验初始时刻仔虾放置处)为起点,按等距离间距法将自制的水流测定装置(总长1m)依次划分为A(0—25cm)、B(25—50cm)、C(50—75cm)、D(75—100cm)和E(100cm)等五个区段,在确认实验终了时刻分布于A区段内仔虾数量占实验仔虾总数5%的水流速度为0.823cm/s后,以此为实验流速,借助显微扫描像素测量技术和多元分析方法定量研究了A、B、C、D、E实验群体(依次为实验终止时刻分布于A、B、C、D、E区段内的仔虾)个体间形态比例性状间的差异。结果表明:(1)在所涉15项形态测量指标中,各实验群体间均无显著差异(P0.05)的形态性状共计8项,依次为X_4(眼径)、X_5(头胸甲长)、X_6(头胸甲高)、X_7(第一腹节长)、X_8(第二腹节长)、X_9(第三腹节长)、X_~(10)(第四腹节长)和X_14(腹节高);(2)在所涉17项形态比例指标中,实验群体间均无显著差异(P0.05)的形态比例性状共计7项,依次为C_2(额剑长/总长)、C_9(第五腹节长/总长)、C_(10)(尾节长/总长)、C_(11)(尾扇长/总长)、C_(15)(头胸甲高/头胸甲长)、C_(16)(腹节高/第一腹节长)和C_(17)(尾节高/尾节长);(3)经主成分分析,提取到的5个特征值均大于1的主成分,累计贡献率达80.795%,其中第1主成分39.561%,其载荷绝对值大于0.5的主要影响变量占形态比例性状总数的47.059%;(4)将A实验群体定义为水流胁迫处理选留群,B、C、D、E实验群体统归为水流胁迫处理淘汰群。采用逐步判别法,以判别贡献率较大的C_1(第一触角柄长/总长)、C3(眼径/总长)、C7(第三腹节长/总长)、C13(额剑长/头胸甲长)为自变量,所建的Fisher分类函数方程组可较清晰地区分淘汰群和选留群个体,其中选留群的判别准确率P_1、P_2分别为98%和84.85%,淘汰群的判别准确率P_1、P_2分别为82.25%和97.63%,两者综合判别准确率为90.12%。综上可知,借助形态表型分型可实现日本囊对虾仔虾不同抗流性能群体间的筛选。     

层序地层学模拟研究进展及趋势

模拟层序地层学是层序地层学理论重要的研究手段之一,在国外该项技术较为成熟.层序地层计算机模拟软件采用的算法主要有扩散算法、流体流动算法、几何控制沉积算法、经验数值逼近算法、沉积物搬运的构造校正算法.目前,国外学者对以海平面升降、构造沉降和沉积物供应为主控因素的层序地层概念模拟的适用性提出了质疑,并对层序控制因素的多样性和不确定性进行了深入的研究.结合当前的研究进展,提出了层序控制因素的"多变量系统"观点,将层序的控制因素分为综合变量和独立变量,进一步指出如果假设综合变量为独立变量,则可以简化层序模拟,假设越多,模拟越简单,但模拟结果越粗略;要使模拟结果真实地反映实际地层特征,就要尽可能采用独立变量.     

Spatial changes in a macrozoobenthic community along environmental gradients in a shallow brackish lagoon facing Sendai Bay, Japan

The spatial distribution, abundance, and assemblage structure of macrozoobenthos were examined at 45 stations in a brackish lagoon (Idoura Lagoon, Japan) to examine the animal–environmental relations in estuarine soft-bottom habitats. We found a total of 23 taxa; the polychaetes Heteromastus sp., Hediste spp., and Prionospio japonica and the isopod Cyathura muromiensis numerically dominated the community. Cluster analysis and one-way analysis of similarity (ANOSIM) identified seven groups of stations that had significantly different macrozoobenthic communities; these were subsequently consolidated into five habitat groups according to their association with environmental characteristics. Canonical correspondence analysis (CCA) showed that salinity, silt-clay content, and the oxidation–reduction potential (ORP) of the sediment strongly affected the macrozoobenthos distribution pattern in the lagoon, whereas other factors (e.g., relative elevation of the habitat and sediment organic content) had much weaker effects. Similarity percentages (SIMPER) procedures indicated that the polychaete Notomastus sp. and the bivalve Macoma contabulata were specific to habitats with low salinity and reduced mud, whereas the bivalve Nuttallia olivacea was specific to sandy bottoms. Heteromastus sp. and Hediste spp. achieved their highest densities in rather oxidized sediments. The acid-volatile sulfide (AVS) content in the sediment was suggested as another possible factor affecting macrozoobenthic density. Our results clearly demonstrate that macrozoobenthic assemblages in estuarine soft-bottoms have high spatial heterogeneity on a small scale (e.g., hundreds of meters) related to physical and chemical environmental changes. Our data also suggested the importance of sediment redox condition (e.g., ORP and AVS content) and sediment grain size as structuring factors in estuarine soft-bottom communities as well as the salinity in the habitat.