从太平洋底发现外星撞击地球的痕迹

通过对偶然发现于太平洋M₁₄岩心中的微玻璃陨石的显微特征和物质成分的全面研究,首次发现了撞击坑反弹结构、亲铁元素铱、锇等异常、不定形碳、未饱和无环碳氢化合物、有机质及多种挥发分子,根据这些痕迹和证据肯定了发生于大约2.14～2.30MaBP的一次外星撞击地球事件,并推测撞击地球的外星可能为一彗星碎片;另根据岩心中微玻璃陨石层同该岩心中地磁事件和地磁倒转的联系,进一步论证了这次外星撞击地球事件的发生.最后,笔者提出了发生撞击事件的时代──2.14～2.30MaBP可作为深入研究和划分地质历史中第三纪-第四纪界线的重要参考时代,有待科学家通过更多的发现和长期研究加以验证.     

紊流数值模拟中的图形动态显示

目前 ,紊流数值模拟程序几乎都是ＦＯＲＴＲＡＮ语言编写的 ,由于用此语言编写图形处理程序的能力较弱 ,所以现今绝大部分数值计算均是先计算出结果 ,然后将其输入图形处理软件 ,再进行显示和输出 ,这样一来 ,周期长且效率往往不高。这是因为数值计算的成果很多 ,仅凭某种法则难以判断计算是否成功 ,有时看似成功的计算 ,当进行图形处理后 ,发现计算成果与实际不符。其原因可能是程序中的某个地方有误 ,或者法则本身有误。这种有误的程序有时也能得出收敛的结果 ,但其结果显然与实际相差较远 ,以致编程者不得不重新检查程序和重新计算。对于…     

南海NO2-N薄层的研究

1982年6月和1985年6月调查表明,在南海东部和南部海区次表层存在NO₂-N薄层,分别约占总测站84%和71%,薄层平均厚度分别为20.5m和34.5m,NO₂-N平均含量为0.23μmol/dm3和0.19μmol/dm3,NO₂-N薄层中心位置分别是69m和71m。本文对NO₂-N薄层的成因、分布及亚硝酸氮的来源和影响其含量的主要因素等进行了研究。     

马里亚纳海槽沉积岩心主要元素的地球化学特征

深海沉积物地球化学的早期研究工作证明,岩性不同的深海沉积物中主要元素的含量差别很大,而且某些深海沉积物所聚集的痕量元素则明显不同于大陆和近岸环境下的沉积[1].本文研究的61KL和57KL岩心是在1988年7～8月,中国-联邦德国马里亚纳海槽和西菲律宾海盆海洋地质联合调查期间取得的.对岩心样品进行了9种主要化学元素的分析.     

长江口生源元素的生物地球化学特征与絮凝沉降的关系

本文研究了长江口区生源元素C、N、P的生物地球化学作用与悬浮物质絮凝沉降的关系.在不同的环境条件下,微生物和浮游生物的活动及水-颗粒物界面的生物地球化学作用不同,导致C、N、P等生源元素在运移过程中发生形态变化和物相转移,从而改变了颗粒的表面组分、性质及介质成分,影响胶粒分散系的稳定性.夏季出现NO₃-、PO₄3-与logSPM呈正相关,PON、POC、PP的重量百分比分别与logSPM呈负相关.颗粒物从河流向海方向运移过程中在盐度0.1～2.0出现絮凝速度的峰值区和在底层盐度2～11形成巨形网状絮凝团和高浊度区,并且在这两段盐度区间分别均出现C/N的峰值(亦即CEC的低谷区).说明生物地球化学作用是控制长江口区颗粒物絮凝的重要因素和主要机制之一.     

Benthic nutrient fluxes in the intertidal flat within the Changjiang （Yangtze River） Estuary

In an annual cycle from March 2005 to February 2006, benthic nutrient fluxes were measured monthly in the Dongtan intertidal flat within the Changjiang （Yangtze River） Estuary. Except for NH4^＋, there always showed high fluxes from overlying water into sediment for other four nutrients. Sediments in the high and middle marshes, covered with halophyte and consisting of macrofauna, demonstrated more capabilities of assimilating nutrients from overlying water than the low marsh. Sampling seasons and nutrient concentrations in the overlying water could both exert significant effects on these fluxes. Additionally, according to the model provided by previous study, denitrification rates, that utilizing NO3- transported from overlying water （Dw） in Dongtan sediments, were estimated to be from -16 to 193 μmol·h^-1·m^-2 with an average value of 63 μmol·h^-1·m^-2 （n=18）. These estimated values are still underestimates of the in-situ rates owing to the lack of consideration of DN, i.e., denitrification supported by the local NO3^- production via nitrification.     

Distribution Characteristics of Sulfur and the Main Harmful Trace Elements in China’s Coal

To promote the rational development and use of clean coal resources in China, data on the regional and age distribution of sulfur, arsenic and other harmful elements in Chinese coal was broadly collected, tested for content, and analyzed. Coal in northwestern China is characterized by low to extremely low levels of sulfur; the coal of the Taiyuan Formation in northern China mainly has high-sulfur content; that of the Shanxi Formation is mainly characterized by low sulfur coal; and the Late Permian coal in southern China has overall higher sulfur content; other regions have low sulfur coal. The average content of harmful trace elements in the bulk of China＇s coal is similar to the corresponding content in the coal of the North America and the rest of the world, whereas the content of various elements （Hg, Sb and Se） is different in magnitude to the corresponding percentage in the crust. The average content of the elements Cr, Se, Co, Be, U, Br in Late Permian coal in S China ranks first in the country whereas the average content of Hg and CI in the coals of Late Carboniferous to Early Permian age in N China are the highest. The average content of Mn in Early and Middle Jurassic coal is higher in NW China. The high content of harmful elements in some coal should cause particular concern both in the development and utilization of coal.     

RBF网络在地质样品非线性基体效应校正中的应用

基于RBF(Radial Basis Function)网络的正交最小平方算法,对攀枝花地质样品进行动态非线性基体效应校正.首先采用EDXRF仪器对样品进行测量,并对样品的荧光计数进行归一化,设计出自动分类模型和动态非线性数据基体效应校正模型的二级串联结构,用自组织神经网络(SOFM)进行分类,然后用RBF网络预测了未知样品元素Ti的百分含量.结果表明:对所预测样本的Ti的百分含量与化学分析相比的误差均小于0.5%.由此可见,用RBF方法可以有效地对地质样品进行非线性基体效应校正,能够达到工矿生产的要求.