上地幔含水量对海底扩张过程中洋壳厚度的影响:数值模拟

地幔中不同含量的水会对洋壳的生成产生重要影响,但目前不同含水量下的均匀和局部含水地幔会怎样影响洋壳厚度还不清楚.利用动力学数值模拟的方法,对上地幔均匀含水和局部含水两种情况下洋壳的生成过程展开研究.结果表明:当上地幔均匀含水时,含水量的增加在减小最大熔融分数的同时,会增大初始熔融深度和熔融面积,因而生成的洋壳厚度会增加...     

中国西南地区晚二叠世泥炭地净初级生产力及其控制因素

米兰科维奇旋回理论是古环境研究中重要的时间“度量”工具.文中以贵州普安糯东17号煤层和云南富源天佑10号煤层为例,对晚二叠世煤层的地球物理测井信号进行频谱分析,以获得其中的米兰科维奇轨道周期参数.研究发现,测井信号所反映出的煤层灰分含量变化受泥炭地发育时期的米兰科维奇轨道周期(123 ka(偏心率):35.6 ka(斜...     

复杂勘探目标区岩性预测技术及其在海拉尔盆地乌南地区的应用

海拉尔盆地乌尔逊凹陷南部地区构造和断裂复杂,多物源,短物源,相变快,因而导致下白垩统南屯组岩性有利目标区预测难度大。根据层序地层学和坡折带理论,以地震资料为基础,建立了一套新的地震精细解释、复杂勘探目标区岩性体识别及三维可视化刻画等全三维地震解释技术体系。认为乌东斜坡发育三个坡折带,第三坡折带下倾方向和第二坡折带具备形成岩性油气藏的地质条件,应用频谱分析和三维可视化技术在乌东斜坡带南屯组识别有利扇体10个,面积145km2,部署探井5口,其中4口获工业性油流,1口获低产工业性油流,探井符合率100%。     

A self‐consistent approach for micro–macro modeling of elastic–plastic deformation in polycrystalline geomaterials

This paper is devoted to multi‐scale modeling of elastic–plastic deformation of a class of geomaterials with a polycrystalline microstructure. We have extended and improved the simplified polycrystalline model presented in [Zeng T. et al., 2014. Mech. Mater. 69 (1):132–145]. A rigorous and fully consistent self‐consistent (SC) scheme is proposed to describe the interaction among plastic mineral grains. We have also deeply discussed the numerical issues related to the numerical implementation of the proposed micromechanical model. The efficiency of the proposed model and the related numerical procedure is evaluated in several representative cases. We have compared the numerical results respectively obtained from the fully SC model and two simplified ones. It is found that the SC model produces a softer stress–strain response than that of the simplified models. The comparisons between the estimation of overall behavior of a granite in different loading conditions and experimental data are also conducted. Copyright © 2015 John Wiley & Sons, Ltd.     

三峡库区山地生态系统预警

论述了三峡库区山地生态系统的特征，建立山地生态系统预警评价的指标体系和预警，在假定不作重大投资进行调控修复的前提下对三峡库区山地生态系统进行预警分析，复合生态系统及各子系统都将处于逆向演替状态，绝大多数子系统及复合生态系统在2010年前将处于各种预警状态。在预警分析基础上，提出优化调控战略要点，其核心是经济、社会发展与生态环境建设的协调。     

An extreme learning machine approach for slope stability evaluation and prediction

This paper presents slope stability evaluation and prediction with the approach of a fast robust neural network named the extreme learning machine (ELM). The circular failure mechanism of a slope is formulated based on its material, geometrical and environmental parameters such as the unit weight, the cohesion, the internal friction angle, the slope inclination, slope height and the pore water ratio. The ELM is proposed to evaluate the stability of slopes subjected to potential circular failures by means of prediction of the factor of safety (FS). Substantial slope cases collected worldwide are utilized to illustrate and assess the capability and predictability of the ELM on slope stability analysis. Based on the mean absolute percentage errors and the correlation coefficients between the original and predicted FS values, comparisons are demonstrated between the ELM and the generalized regression neural network (GRNN) as well as the prediction models generated from the genetic algorithms. Moreover, sensitivity analysis of the slope parameters and the ELM model parameters is carried out based on the two utilized evaluation functions. The time expense of the ELM on slope stability analysis is also investigated. The results prove that the ELM is advantageous to the GRNN and the genetic algorithm based models in the analysis of slope stability. Hence, the ELM can be a promising technique for approaching the problems in geotechnical engineering.     

生物炭对土壤理化性质影响的研究进展简

Biochar is an organic material with high carbon content, most aromatic structure and great stability resulting from high temperature thermal conversion (usually < 700 ℃) of organic materials under the completely or in part anoxic condition. Due to its stable chemical properties, biochar has received widely attention as a strategy to reduce greenhouse gas emissions. In addition, biochar shows great potential in soil improvement and environmental pollution remediation, and provides a comprehensive solution for the global climate change, food crisis and ecological pollution remediation. Biochar is a carbon rich material, in association with porous characteristics and high surface area which are favorable to accumulating soil moisture, to increasing the porosity, to reducing density and bulk density, and to promoting the formation of soil aggregation. All the above soil physical improvement can provide a good environment for the growth of plants. Furthermore, biochar is an ideal acidic soil amendment which can improve the pH of acidic soil. It contains nutrient element which can be directly released into soil, and its surface charge and functional groups are conducive to soil nutrient retention, such as the reduced leaching of NH⁺₄ and NO^-₃, PO^3-₄, therefore improve the efficiency of nutrient elements. However, the effect of biochar amendments highly influenced by raw materials and pyrolysis conditions is of inconsistent and sometimes even contrast results can be concluded. In this paper, we summarize the current status and knowledge gaps about the effect of biochar amendments on soil physical and chemical properties and some suggestions are also strengthened. Finally, some possible negative impacts of biochar application and research suggestions are discussed in order to better use of biochar in agriculture.     

植物样品中金的分析方法研究

植物样品中金的分析方法很多。通过大量试验表明,植物样品的灰化温度和分解方式对金的分析结果影响很大。为此,在大量试验的基础上确立了植物样品在650℃灰化,王水溶解,泡沫塑料分离富集,硫脲解脱金,石墨炉原子吸收测定植物样品中金的分析方法。该方法快速、简单、准确、可靠,方法的检出限为0.29×10~(-9)。用3个含量分别为115.4×10~(-9).15.0×10~(-9),18.1×10~(-9)的植物样品做精密度试验。其相对标准偏差分別是5.26％、21.5％、7.37％。     

广西春播期降水与北太平洋海温耦合特征分析

运用奇异值方法 (SVD)对北太平洋前期海温场与广西 2～ 3及 4月降水进行分解 ,分析二者的耦合关系和变化特征 ,得出影响降水空间分布的关键区域。在此基础上 ,对 2 0 0 1年 2 - 4月降水进行试报 ,效果较好     

内蒙古喀喇沁早中生代闪长岩的岩石学,地球化学及其成因

本文研究了内蒙古喀喇漏沁地区含镁铁质－超镁铁质堆晶岩和基性麻粒岩捕虏体的闪长岩的同位素年代学、岩石学及地球化学,得到以下几点认识：（１）闪长岩全岩和单矿物Ｋ－Ａｒ年龄为２１９～２２３Ｍａ。（２）闪长岩与其中的堆晶岩和基性麻粒岩捕虏无成因联系;（３）各类闪长岩可能是太古宙斜长角闪岩高度部分熔融的产物;（４）闪长岩的形成与研究区早中生代的底侵作用有关,反映了伸展构造背景。