蒙塔那州博耳德地区岩基中的铀矿化

本文介绍了花岗岩类(石英二长岩及花岗闪长岩)岩基型侵入体中矽化带型热液铀矿床的岩体、区域构造、伴生有色金属矿床、铀矿床本身及成矿年代。铀矿化和灰色及黑色微粒石英脉或玉髓脉的关系密切。铀矿化晚于锌铅矿化。铀矿化年代为6000万年。其后有英安岩的侵入。     

六价铀的比色测定

本文提出了一种新的极灵敏的试剂用于六价铀的比色测定。这个试剂的名称是1-苯-3-甲基-4-(3-羧基-4-羟基苯-偶氮)-吡-唑-5-酮。     

黑云母热光性的研究

一、概述本文研究的黑云母(少铁黑云母Meroxen),颜色为黑褐色,折射率Ng=1.6112,光轴角(-)2V=4°,色散V>γ.其化学成分(重量%)如下:SiO_2 36.95,Al_2O_3 16.69,Fe_2O_3 1.94,FeO6.37,MgO 20.22,CaO 0.14,Na_2O 0.45,K_2O 9.63,H_2O~+ 3.96,H_2O~- 0.68,TiO_2 2.38,P_2O_5 0.12,MnO O.12,F 0.62,总和为100.27.晶体化学式为:(K_(0.90)Na_(0.06)Ca_(0.01))_(0.97)(Mg_(2.21)Fe_(0.39)~(2+)Fe_(0.11)~(3+)Mn_(0.01)Ti_(0.13)Al_(0.15))_(3.00)(Si_(2.71)Al_(1.29))_(4.00)O_(10)(O_(1.23)OH_(0.62)F_(0.15))_(2.00).从常温到1500℃,每隔100℃,在高温炉内加热一个样品,恒温一小时后取出淬火.对加热后的样品分别作了肉眼及光性鉴定,其中折射率用油浸法,光轴角用弗氏台干涉图法测定.     

Use of Surface Observations to Estimate Upper Air Humidity for the Objective Analysis of Relative Humidity over Indian Region

In the present study objective analyses of relative humidity (RH) at surface and at the levels of 850,700 and 500 hPa have been made using Gandin’s (1963) optimum interpolation scheme. As the horizontal resolution of the radiosonde stations is rather inadequate for upper air humidity analysis, a scheme has been developed, following Rasmussen (1982) to estimate the upper air RH from the surface observations like surface RH, present weather and cloud cover. The relative humidities at the levels 850, 700 and 500 hPa were related to the surface observations through three separate regression relations. The RH values at 850, 700 and 500 hPa levels were estimated from the surface RH, cloud coverage and present weather using the above regression relations and subsequently the objective analyses at 00 GMT for the period from 4 July to 8 July 1979, were made using these estimated data along with the observed radiosonde data. Objective analyses were also made for the same period using only the radiosonde data for comparison to study the impact of those estimated data. Root mean square errors were computed for all the five days by interpolating RH at the observing stations from the objectively analysed field and comparing them with the actually observed RH to examine how best the analyses (with and without estimated data) fitted the observations. Lastly they were compared with satellite cloud pictures. This study shows that the estimated upper air RH values have positive impact on the analysis of upper air RH and could be used over radiosonde date sparse region and even over oceanic regions.     

Substrate selection and seasonal variation in abundance and size composition of isopod Lirceus fontinalis in Ontario streams, Canada

The abundance and size composition of stream isopods Lirceus fontinalis were investigated from April 2001 to August 2002 in 3 streams in southern Ontario, Canada. Effects of current speed was released from the analysis by choosing slow flowing water. The effects of substrate, season and water depth on the abundance, distribution and size composition of the isopods were analyzed. It was found that substrate and season influence isopods the most. The rocky substrate with attached filamentous macro-algae contains an isopod abundance 7.05 times that of bare rock substrate and 14.6 times that of fine-sand and mud substrate. There was a large variation with respect to seasonality in both abundance and size composition of the isopods, with the highest abundance occurring in summer and the lowest in winter and spring; individual isopods also tend to be larger in the winter and spring. In all substrates, shallow areas tend to support higher densities of isopods than deeper areas.     

Modelling of sediment movement in the surf and swash zones

Under the action of marine currents, non-cohesive sediments evolve by bed-load, by saltation or suspension depending on their granulometry. Several authors have considered that the movement of sediment...     

Latin hypercube approach to estimate uncertainty in ground water vulnerability

A methodology is proposed to quantify prediction uncertainty associated with ground water vulnerability models that were developed through an approach that coupled multivariate logistic regression with a geographic information system (GIS). This method uses Latin hypercube sampling (LHS) to illustrate the propagation of input error and estimate uncertainty associated with the logistic regression predictions of ground water vulnerability. Central to the proposed method is the assumption that prediction uncertainty in ground water vulnerability models is a function of input error propagation from uncertainty in the estimated logistic regression model coefficients (model error) and the values of explanatory variables represented in the GIS (data error). Input probability distributions that represent both model and data error sources of uncertainty were simultaneously sampled using a Latin hypercube approach with logistic regression calculations of probability of elevated nonpoint source contaminants in ground water. The resulting probability distribution represents the prediction intervals and associated uncertainty of the ground water vulnerability predictions. The method is illustrated through a ground water vulnerability assessment of the High Plains regional aquifer. Results of the LHS simulations reveal significant prediction uncertainties that vary spatially across the regional aquifer. Additionally, the proposed method enables a spatial deconstruction of the prediction uncertainty that can lead to improved prediction of ground water vulnerability.     

Towards an operational use of space imagery for oil pollution monitoring in the Mediterranean basin: a demonstration in the Adriatic Sea

Studies of operational pollution carried out by European commission - Joint Research Centre in the Mediterranean Sea for the years 1999-2004 are briefly introduced. The specific analysis of the Adriatic Sea for the same period demonstrates that this area has been characterized by a relevant number of illegal discharges from ships. After setting the historical background of the project AESOP (aerial and satellite surveillance of operational pollution in the Adriatic Sea), the content, partners and aim of the project are presented. Finally, the results of the first phase of the AESOP project are presented. The results seem very encouraging. For the first time in the Adriatic, real time detection of oil spills in satellite images and an immediate verification by the Coast Guard has been undertaken. An exploratory activity has also been carried out in collaboration with the University of Ljubljana to use automatic information system (AIS) to identify the ships detected in the satellite images.