晶质铀矿自发裂变产生钌,银,碲的同位素探索

为了阐明对铀的自发裂变现象，采用热电离质谱测定法对几种类型晶质铀矿样品的Ｒｕ，ｔＥ和Ａｇ的同位素组成作了测定，由于自发裂变碎片有可能加入天然同位素中，在几个样品中的Ｒｕ，Ｔｅ清楚地显示出了＾９９Ｒｕ，＾１０１Ｒｕ，＾１０２Ｒｕ，＾１０４Ｒｕ，＾１２８Ｔｅ，＾１３０Ｔｅ同位素测量中得到裂变成因的Ａｇ，从Ｍｏｒｏｇｏｒｏ（坦桑尼亚）某晶质铀矿得到的Ｒｕ裂变模式表明，这种晶质铀矿可能已经处于中子诱发＾２     

平凉隐伏岩溶水环境同位素研究

地下水资源可持续利用的一个急待解决的重要问题,是对地下水补给和更新能力的评价.利用环境同位素技术研究地下水的补给和可更新性是当前较为新颖的方法之一.在西北干旱、半干旱的隐伏岩溶地区,地下水埋藏条件复杂,常规的地质勘探方法所能提供的水文地质信息有限,环境同位素方法在研究地下水的补给及可更新能力方面发挥了优势,可对传统方法进行补充和验证.其结果表明,研究区隐伏岩溶水形成较早,且有大量现代水的混入,平均混入量为54%.说明区内隐伏岩溶水的补给和更新能力较好.环境同位素分析结果还显示,大岔河隐伏岩溶水为一相对独立、半开放的水文地质单元,其补给来源部分为流域内大气降水、地表水的补给,部分为东南部三道沟岩溶地下水的补给;根据环境同位素EPM模型计算,地下水的滞留时间为36 a.地下水储存量为1.314×108 m3; 储水系数为7.29×10-3.这一结果与传统勘探方法的计算结果基本吻合,说明环境同位素方法的实用性.     

苏格兰西南部达拉德变质带中的大气降水渗入和氧前锋：区域金活动性的新假？

产于达拉德变质带黑云带中变质期后石英脉由三种主要类型组成：含黄铁矿的他形成英型，含赤铁矿的他形石英型和含赤铁矿或金红石的柱状石英型。他形石英脉中的氧化矿物由先存硫化物氧化而成，金在此氧化过程中被活化。成分相似的晚期柱状结构石英晶体经历了相分离的流体形成。脉中石英的氧同位素比值不等。成矿流体含有大量大气降水的成分，其同们素组成和化学成分随着水－岩相互作用而逐渐变化。金的活化转移与再沉积在片岩地层中随     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.