甘肃黄土的粒度分维特征及意义

依据分形理论分析了甘肃黄土粒度分布的分形结构特征。黄土具有良好的统计自相似性。随着空间位置和黄土形成时代的不同,黄土的分形结构特征有明显的变化特征,其分维值介于2.29至2.56之间;且粒度分维值的大小与分选好坏密切相关,即:分选系数大则分维值大,反之则分维值小。这表明黄土的粒度分维在一定程度上可以反映黄土的形成演化特征。在此基础上进一步研究了黄土粒度分维与干密度、孔隙比、湿陷系数之间的定量关系,指出黄土分维值可以定量表征黄土的物理、水理性质。与地形地貌、水文和气候等因素一样,它也可作为自然区划的一个主要指标。     

Abundances of chemical elements of the granitoids in different geotectonic units of China and their characteristics

On the basis of actual analytical data of 767 composited samples collected mainly from about 750 large to middle representative granitoid bodies all over China, the average chemical compositions and element abundances of about 70 chemical elements of SiO₂, Al₂O₃, Fe₂O₃, FeO, MgO, CaO, Na₂O, K₂O, H₂O⁺, CO₂, TFe₂O₃, Ag, As, Au, B, Ba, Be, Bi, Cd, Cl, Co, Cr, Cs, Cu, F, Ga, Ge, Hf, Hg, Li, Mn, Mo, Nb, Ni, P, Pb, Rb, S, Sb, Sc, Se, Sn, Sr, Ta, Th, Ti, Tl, U, V, W, Zn, Zr, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu and Y in alkalifeldspar granite, syenogranite and adamellite in 7 geotectonic units in China such as Tianshan-Xing’an orogenic series, Sino-Korean metaplatform, Kunlun-Qilian-Qinling orogenic series, Yunnan-Tibet orogenic series, Yangtze metaplatform, South China-Youjiang orogenic zone and Himalayan orogenic belt, are calculated and presented in this paper. In addition, the characteristics of petrochemical parameters, trace element contents and rare earth element distributions of different rock types of the granitoids in different geotectonic units are also sufficiently discussed. Translated from Acta Geologica Sinica, 2007, 81(1): 47–59 [译自: 地质学报]     

GIS空间分析建模构想

目前GIS与模型的集成只是针对某一专业领域,不同领域需要做大量的重复工作,而模型的无限重用是不可能的。实现在GIS环境中建模是增强GIS空间分析功能的必由之路。文献[1]提出的用空间分析的基本算子和对象,以某种运算逻辑积木式组合为复杂的分析模型,具有较大的研究前景。     

浅埋硬土层小截面短桩沉桩分析

在地层比较特殊的地段,往往由于经验及对地质情况认识不深而出现沉桩困难、桩头开裂等现象。文章针对浅埋硬土层采用小截面短桩情况,应用静力触探测试指标计算沉桩阻力,结合考虑桩身强度的方法进行沉桩分析,并统计了不同锤型入持力层不同深度的实际锤击数,为以后类似工程的选锤提供参考。     

Origin of coarse-crystalline calcite cement in Early Ordovician carbonate rocks, Ordos basin, northern China: Insights from oxygen and carbon isotopes and fluid inclusion microthermometry

The calcite cement in the Lower Ordovician Majiagou Formation in the Ordos basin in northern China can be subdivided into three groups based on preliminary results of oxygen and carbon isotopes and fluid inclusion microthermometry. Group 1 has low oxygen isotopes (− 14‰ to − 18‰), low T_h values (92–103 °C), and low salinities (1.7–4.9 wt.% NaCl equivalent) and is interpreted to have precipitated during early burial from porewater influenced by meteoric water. Group 2 has much higher oxygen isotope values (− 5‰ to − 8‰), which, coupled with the higher T_h values (136–151 °C), suggest that the calcite was precipitated from fluids that were significantly enriched in ¹⁸O, possibly resulting from fluid–rock reaction during burial. Group 3 occurring along fractures is characterized by high salinities (21–28 wt.% NaCl equivalent) and is interpreted to have been precipitated from locally preserved residual evaporitic brines. The occurrence of primary hydrocarbon inclusions and its low carbon isotopes (− 11‰ to − 15‰) suggest that precipitation of group 3 calcite took place in the presence of hydrocarbons.     

初始场与云微物理参数方案在飑线数值模拟中的对比研究

采用CM1模式以200 m的高精度水平网格距对一次东北冷涡下的飑线过程进行模拟,采用1 km的水平网格距进行对比试验探究网格距的影响,并通过探空资料的替换与修改研究不稳定能量和垂直风切变对飑线发展的影响。研究表明,水平网格距增大主要使系统演变减缓,强度也有一定的减弱;初始场的不稳定能量减小会使飑线减弱明显,直至无法生成;垂直风切变对飑线的形成影响较小,主要改变了飑线的结构,没有垂直风切变时形成的飑线更为松散。最后的敏感性试验研究了7种云微物理参数方案对飑线内水粒子分布的影响,发现不同的云微物理参数方案会使水粒子的含量和分布出现变化,进一步影响固、液态的降水,飑线模拟采用的NA方案高层冰和雪含量最高,但由于雨和降落到地表的雹、霰含量低,使得累计降水量最小。     

Zinc,copper, and strontium isotopic variability in the Baiyangping Cu–Pb–Zn–Ag polymetallic ore field,Lanping Basin,Southwest China

Acta Geochimica - The Baiyangping Cu–Ag polymetallic ore district is located in the northern part of the Lanping-Simao foreland fold belt, between the Jinshajiang-Ailaoshan and Lancangjiang...     

基于深度置信网络的煤层含气量测井解释研究

为了解决煤层含气量定量解释问题,将煤层测井数据与煤心解吸数据作为输入和输出参数,构建深度置信网络(DBN),进而预测煤层含气量。研究以甘肃合水地区测井数据为例,筛选出该地区120组煤层样品作为DBN样本分析数据。选择短源距自然伽马、自然伽马、密度、长源距自然伽马和浅侧向5条测井曲线,作为DBN的输入参数,煤层气含量作为DBN的输出参数,研究RBM数量和隐藏神经元数量对计算结果的影响。并通过概率统计法、BPNN、DBN和SVM计算了30组煤层的煤层气含量,比较不同方法的预测效果。结果表明:①受限玻尔兹曼机(RBM)对DBN计算结果的精度有一定的影响,RBM数量达到7层时,预测结果准确性更高;②选择合适的隐藏层神经元数量,可以保证计算结果的精度和稳定性,神经元数量为20时,预测结果精度更高,稳定性更好;③RBM使得DBN的准确性高于BPNN,此外,DBN的计算准确性和稳定性高于概率统计法和SVM。