富钴锰结壳分析技术评介

简要评介了用于富钴锰结壳成分分析的现代分析技术,包括船上现场分析、陆上实验室的多元素分析、矿物微区分析和元素微区分布特征研究的微探针方法及相关标准物质的研制。讨论了结壳品位分析时的取样问题及干基温度的确定和对“绿色”分析技术的需求。     

稳健协同克立格因子分析及其在化探中的应用

稳健协同克立格因子分析集稳健统计、协同克立格和因子分析的优点于一体,可同时研究多个变量不同方向的结构差异及变化性,用该方法研究次生晕指示的结构特征可在一定程度反映原生晕的特征,揭示其深层次信息．对团结沟金矿区次生晕分析表明：在矿产预测中矿床原生晕组合标志并不适用于次生晕及分散流的研究,本方法对大（中）比例尺次生晕、分散流与原生晕的信息转换和关联有独到之处．     

Component在流域管理信息系统设计中的应用

介绍了Component的概念、特征,并以Windows操作系统下的OLEComponet为例,从对象分析、对象结构,到对象构造,介绍了Component在流域管理信息系统设计中的应用.     

Relative Roles of Intraseasonal and Above-seasonal Components in the South China Sea Summer Monsoon Onset

Multi-scale contributions are involved in the South China Sea (SCS) summer monsoon (SCSSM) onset process. The relative roles of intraseasonal oscillation and above-seasonal component in the year-to-year variation of the SCSSM onset are evaluated in this study. The 30-90-day and above-90-day components are major contributors to the year-to-year variation of the SCSSM onset, and the former contributes greater portion, while the 8-30-day component has little contribution to the onset. In the early onset cases, the 30-90-day westerly winds move and extend eastward from the tropical Indian Ocean (TIO) to the SCS monsoon region relatively earlier, and replace the easterly winds over the SCS with the cooperation of the 30-90-day cyclone moving southward from northern East Asia. The westerly anomalies of the above-90-day component in spring jointly contribute to the early SCSSM onset. In the late onset cases, the late eastward expansion of 30-90-day westerly wind over the TIO, accompanied by the late occurrence and weakening of the 30-90-day anticyclone over the SCS, and its late withdraw from the SCS, as well as the persistent easterly anomalies of above-90-day component, suppress the SCSSM onset. However, the SCSSM outbreaks in the obvious weakening stage of 30-90-day easterly anomalies. The easterlies-to-westerlies transition of the 30-90-day 850- hPa zonal wind over the SCS in spring is closely associated with sea surface temperature in the tropical western Pacific in preceding winter and spring, while the interannual variation of the above-90-day zonal wind in April-May is closely related to the decaying stage of the El Ni?o-Southern Oscillation events.     

1968—2017年湖南省冰雹时空分布特征

基于湖南省92个站点1968—2017年冰雹观测资料,采用回归分析、小波分析、主成分分析等方法,研究了湖南冰雹时空分布特征。结果表明,湖南近50年冰雹天气年际下降趋势显著,近20年来有记录的冰雹天气发生频次明显降低。湖南初次降雹的时间都集中在1—3月。冰雹月季变化显著,一年中以3月冰雹最多,2月的次之,从5月份起雹日骤然减少。春季是降雹最多的季节,占雹灾总数的56.06%,冬季的次之,夏季和秋季冰雹发生频率分别仅为全年的2.53%和0.69%。年冰雹日数主要存在4~5 a和19 a左右的振荡周期,20世纪90年代前还存在明显的9~10 a的振荡周期。各季节冰雹日数振荡周期不一。湖南冰雹空间分布呈自湘西北向湘东南递减的规律,年冰雹日数的空间分布特征与春季、冬季冰雹分布特征相似。湘北和湘中地区冰雹天气年际变化以下降趋势为主,湘南地区其气候趋势变化不明显。对湖南近50年冰雹日数进行主成分分析的前3个主要模态,在空间向量场上分别呈现出全省一致型、地势主导型和南北呼应型。     

Hydrochemical variations during flood pulses in the south‐west China peak cluster karst: impacts of CaCO3–H2O–CO2 interactions

High‐resolution measurements of rainfall, water level, pH, conductivity, temperature and carbonate chemistry parameters of groundwater at two adjacent locations within the peak cluster karst of the Guilin Karst Experimental Site in Guangxi Province, China, were made with different types of multiparameter sonde. The data were stored using data loggers recording with 2 min or 15 min resolution. Waters from a large, perennial spring represent the exit for the aquifer's conduit flow, and a nearby well measures water in the conduit‐adjacent, fractured media. During flood pulses, the pH of the conduit flow water rises as the conductivity falls. In contrast, and at the same time, the pH of groundwater in the fractures drops, as conductivity rises. As Ca²⁺ and HCO₃^? were the dominant (>90%) ions, we developed linear relationships (both r² > 0·91) between conductivity and those ions, respectively, and in turn calculated variations in the calcite saturation index (SI_C) and CO₂ partial pressure (P) of water during flood pulses. Results indicate that the P of fracture water during flood periods is higher than that at lower flows, and its SI_C is lower. Simultaneously, P of conduit water during the flood period is lower than that at lower flows, and its SI_C also is lower. From these results we conclude that at least two key processes are controlling hydrochemical variations during flood periods: (i) dilution by precipitation and (ii) water–rock–gas interactions. To explain hydrochemical variations in the fracture water, the water–rock–gas interactions may be more important. For example, during flood periods, soil gas with high CO₂ concentrations dissolves in water and enters the fracture system, the water, which in turn has become more highly undersaturated, dissolves more limestone, and the conductivity increases. Dilution of rainfall is more important in controlling hydrochemical variations of conduit water, because rainfall with higher pH (in this area apparently owing to interaction with limestone dust in the lower atmosphere) and low conductivity travels through the conduit system rapidly. These results illustrate that to understand the hydrochemical variations in karst systems, considering only water–rock interactions is not sufficient, and the variable effects of CO₂ on the system should be evaluated. Consideration of water–rock–gas interactions is thus a must in understanding variations in karst hydrochemistry. Copyright © 2004 John Wiley & Sons, Ltd.     

海温与鲁西南夏季降水分析及在长期预报中的应用

本文对北太平洋海温与鲁西南夏季降水关系进行相关分析建立１２个相关场，得出赤道海域，黑潮海域和北太平洋海域三大主要优势相关区。选出３５个预报因子进行主成份分析，应用前１０个合成主成份变量建立预报方程，收到了较好的预报效果。     

Environmental influences on temporal patterns of settlement in two littoral labrid fishes in the Mediterranean Sea

Correlations between daily fish settlement and environmental and physical parameters were examined during two consecutive years in two labrid species (Symphodus roissali and Symphodus ocellatus) in the NW Mediterranean Sea. Both these species have a short planktonic larval duration (12±0.3 and 9±0.4 days, respectively) and limited offshore larval dispersal. Time-series analysis was used to compare the daily settlement patterns with various environmental variables, and non-linear generalized additive models (GAM) were used to examine the relationship between environmental conditions averaged over larval period and daily settlement patterns. Settlement was not uniform and took place as pulses of different length. Although the analyses detected a few significant correlations between day-to-day patterns in environmental variables and settlement (e.g. solar radiation, atmospheric pressure, daytime or nocturnal wind components), these were not consistent among years. In S. ocellatus, however, wind components (daytime or nighttime) explained part of the variance in settlement intensity. The correlations (GAM outputs) observed between settlement patterns and environmental variables (averaged during the whole planktonic period) suggest that calm weather during the planktonic period usually increases settlement success.     

Using chemometrics to evaluate anthropogenic effects in Daya Bay, China

In this work, we have monitored 12 stations to study the effects caused by natural, marine and anthropogenic activities on water quality in Daya Bay, China. Results show that the N:P ratios are 71.54, 41.29, 81.50 and 98.27 in winter, spring, summer and autumn, respectively. Compared with the data of the past 20 years, the atomic N:P ratios have increased, indicating increased potential for P limitation; the atomic Si:N ratios have decreased; the nutrient structure has substantially changed over a period of 20 years. These findings show that the nutrient structure may be related to anthropogenic influence. The data matrix has been built according to the results, which were analyzed by principal component analysis (PCA). This analysis extracted the first four principal components (PC), explaining 73.58% of the total variance of the raw data. PC1 (25.53% of the variance) is associated with temperature, salinity and nitrate. PC2 (21.64% of the variance) is characterized by dissolved oxygen and silicate. PC3 (15.91% of the variance) participates mainly by nitrite (NO₂-N) and ammonia (NH₄-N). PC4 explaining 10.50% of the variance is mainly contributed by parameters of organic pollution (dissolved oxygen, 5-day biochemical oxygen demand and chemical oxygen demand).PCA has found the important factors that can describe the natural, marine and anthropogenic influences. Temperature and salinity are important indicators of natural and marine characters in this bay. The northeast monsoons from October to April and southwest monsoons from May to September have important effects on the waters in Daya Bay. It has been demonstrated that anthropogenic activities have significant influence on nitrogen form character. In spatial pattern, a marine aquaculture area and a non-aquaculture area are widely identified by the scores of stations. In seasonal pattern, dry and wet season characters have been demonstrated.