黔南-桂中地区泥盆系层序地层格架中的储集体特征研究

通过对黔南坳陷和桂中坳陷的地层对比和分析,识别出了8种层序界面标志,共划分两个超(二级)层序SS1和SS2,并讨论了各体系域特征。在层序格架中对研究区内的储集体类型进行了总结,主要包括生物礁(滩)储集体、白云岩储集体和缝洞型储集体等3种类型。对层序格架中储集体的成因类型进行了总结归纳:有利的储集体主要有TST礁滩灰岩储集体、HST礁滩灰岩、白云岩储集体。     

Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones. Part Ⅱ: Model Uncertainty

This paper investigates the possible sources of errors associated with tropical cyclone (TC) tracks forecasted using the Global/Regional Assimilation and Prediction System (GRAPES). In Part I, it is shown that the model error of GRAPES may be the main cause of poor forecasts of landfalling TCs. Thus, a further examination of the model error is the focus of Part II. Considering model error as a type of forcing, the model error can be represented by the combination of good forecasts and bad forecasts. Results show that there are systematic model errors. The model error of the geopotential height component has periodic features, with a period of 24 h and a global pattern of wavenumber 2 from west to east located between 60°S and 60°N. This periodic model error presents similar features as the atmospheric semidiurnal tide, which reflect signals from tropical diabatic heating, indicating that the parameter errors related to the tropical diabatic heating may be the source of the periodic model error. The above model errors are subtracted from the forecast equation and a series of new forecasts are made. The average forecasting capability using the rectified model is improved compared to simply improving the initial conditions of the original GRAPES model. This confirms the strong impact of the periodic model error on landfalling TC track forecasts. Besides, if the model error used to rectify the model is obtained from an examination of additional TCs, the forecasting capabilities of the corresponding rectified model will be improved.     

流体因子关系分析以及新流体因子的构建

目前流体因子(ρf),泊松阻抗和,λρ,μρ等属性常用来进行流体识别和岩性预测.这些方法都能在流体识别中发挥作用,但是由于信息量比较单一,所以在地质情况比较复杂的时候不是很有效.本文以流体因子(ρf)和泊松阻抗(PI)为基础,构建了新的流体因子公式,提高了流体识别和岩性预测的敏感性.将构建的新流体因子属性应用到数值模拟...     

大地电场观测深埋铅电极测量系统试验

为使用铅电极替代不极化电极,以解决滨海地区大地电场观测系统稳定性差的问题,先后开展了浅埋的铅电极与不极化电极的大地电场对比观测,以及深埋铅电极与浅埋铅电极的对比观测试验。结果表明:铅电极与固体不极化电极的观测数据在短期内有较好的一致性;深埋铅电极的大地电场观测资料在长期稳定性上优于固体不极化电极;而观测数据的内在观测质量也高于浅埋铅电极。     

基于灰色支持向量机的地铁沉降滚动预测

为了确保地铁隧道主体结构和周边环境安全,必须对地铁隧道结构进行沉降监测,对监测数据进行及时分析与反馈,并对以后的沉降情况作出预测,对防止事故发生有着重要的现实意义。本文结合灰色系统理论和支持向量机(SVM)的基本原理,采用滚动预测的方式建立灰色支持向量机沉降预测模型,以提高沉降预测精度。通过工程实例的预测结果对比表明,组合模型与灰色和SVM两个单独预测模型相比能够更准确的反映实际的沉降过程,具有很大的应用价值。     

都匀市河床地区岩土层工程地质特征

本文对都匀河床地区各岩土层工程地质特征进行了较为详细的阐述,为该区拟建物基础设计提供了较为可靠的工程地质资料。     

基于全基因组重测序技术的浙江近岸海域耐盐金黄色葡萄球菌(Staphylococcus aureus)耐药机制解析<

金黄色葡萄球菌(Staphylococcus aureus)是近岸海域海水中的主要病原菌,严重威胁接触者的安全。抗生素处理是治疗金黄色葡萄球菌感染的重要手段,其耐药性的发生受到了高度重视。采用全基因组重测序与KEGG富集分析结合的方法,对红霉素(erythromycin)、氯霉素(chloramphenicol)和万古霉素(vancomycin)处理后的耐盐金黄色葡萄球菌(S.aureus ZS01)和不耐盐金黄色葡萄球菌(S.aureus 502A)进行耐药机制研究。结果表明,S.aureus 502A经抗生素处理后发生突变的程度大于S.aureus ZS01,二者在经过氯霉素处理发生了更大程度的突变。红霉素、氯霉素和万古霉素处理主要影响了金黄色葡萄球菌的致病能力;红霉素和氯霉素可能通过影响金黄色葡萄球菌脂类的代谢引起其耐药性的变化。除此之外,三种抗生素处理均出现了较多TIGR01741家族蛋白和假设蛋白基因的突变,推测与菌株的耐药性和致病性相关。耐盐金黄色葡萄球菌可通过外排系统作用产生红霉素耐药性,不耐盐菌株因细胞壁成分相关基因的突变提高了对万古霉素的耐受性。研究结果可为耐盐和不耐盐金黄色葡萄球菌的耐药机制及抗生素对金黄色葡萄球菌致病性影响的研究提供基础数据。     

土水特征曲线(SWCC)的滞回特性模拟研究

为了模拟非饱和土的水力、力学特性在多次降雨、蒸发过程中的变化特性,本文以传统域模型的基本原理为基础,推到得到了一个能够模拟SWCC滞后性的计算模型,该模型计算方法简单,易于通过程序实现,且通过与试验数据和其他模型的计算结果对比,验证了该模型的合理性,同时,这个模型可为研究在复杂吸力变化状态下非饱和土的渗流特性、强度特性以及本构模型的研究打下一定的基础。     

The Coarse-Grained Lacustrine Slope Apron Deposits in the Moliqing Area, Yitong Basin, Northeast China

Overlapping gravity accumulation bodies were formed on the northwestern steep slope of the Shuangyang Formation in the Moliqing fault depression of northeast China. This study analyzed in detail the spatial distribution of the lithofacies and lithofacies associations of these accumulation bodies based on more than 600 m of core sections, and summarized 12 major types of lithofacies and three types of lithofacies associations: (1) the proximal zone consists of gravelly debris flows dominated by alluvial channel conglomerates; (2) the middle zone is dominated by various gravity flow deposits and traction flow deposits; and (3) the distal zone is dominated by mudstones with intercalations of sandy debris and turbidites. Combining with the grain size cumulative probability curves analysis, we determined the transformation of debris flows to sandy debris flows and to turbidity currents in the slope zone of the basin margin, and further proposed a lacustrine slope apron model that is characterized by (1) an inconstant multiple source (line source), (2) an alternation of gravity flow deposits and traction flow deposits dominated by periodical changes in a source flood flow system, and (3) the transformation of sandy debris flow deposits into distal turbidity current deposits. This sedimentary model may be applicable to other fault depressions for predicting reservoir distribution.