基于孔压静力触探试验的水运工程土分类方法研究     

杜宇  刘松玉  祝刘文  邹海峰  蔡国军 《岩土力学》2022,43(5):1353-1363

土的工程分类是工程勘察和设计应用的关键问题之一。基于孔压静力触探测试（piezocone penetration test,简称CPTU）原位测试参数进行土分类是高效实用的方法。国内外现有分类方法的名称及标准与我国《水运工程岩土勘察规范》（JTS 133－2013）不符合。因此,建立基于CPTU原位测试参数、符合我国行业标准的土工程分类方法具有重要工程意义。在收集大量国内外水运工程CPTU测试资料的基础上,对比分析了616个间距小于5 m的CPTU测试孔和相应钻孔取样与室内土工试验成果。选择国内外7种常用的CPTU土分类图进行应用比较,发现这些土分类图所采用的应力修正计算方法在考虑浅层土体的有效上覆应力修正时存在一定的缺陷,通过引入新的应力修正方法和修正土分类边界线,建立了适合我国水运工程的CPTU土分类方法。对比应用分析表明,该分类图能够准确地进行水运工程土类划分,尤其适合于软土、粉细砂和中粗砂的划分,可作为我国水运工程的土工程分类方法。  相似文献   

基于深部地球物理信息的构造变形岩相分类研究     

张宝林  吕古贤  余建国  梁光河  李志远  徐兴旺  胡宝群  王红才  毕珉峰  焦建刚  王翠芝 《地学前缘》2022,29(1):413-426

“构造变形岩相”填图方法的创立和应用为老矿区深部及外围的找矿工作指明了方向,在实践中取得了显著的效果,需要大力推广和深入研究。对于构造变形岩相带的深部结构认识,需要依靠地球物理信息的解译。与地球物理场性质相类似,构造变形岩相带也是一个现存的地质体;物探工作目的是要探测和揭示构造变形岩相带的埋深、轮廓、内部结构构造等特征,为确定其形成时间和演化过程提供依据。由于地质与地球物理的复杂时空关系,如果仅以新鲜岩石标本物性参数的差异作为判别标志,难以提高地球物理方法的分辨率和有效性。结合构造变形岩相进行综合解译,更能提高解释推断成果的多学科融合性。作为终极勘探目标,需要紧密结合构造控矿级序,建立构造变形岩相带的三级分类标准,提取对应的地球物理信息:一级构造变形岩相带为目标物所处的构造单元及构造应力场,及其所对应的区域地球物理场特征,如隆凹构造相间的伸展构造域;二级构造变形岩相带为目标物所处的控矿构造体系,及其所对应的矿田地球物理场特征,如岩浆核杂岩隆起-拆离构造系统;三级构造变形岩相带为目标物所在的有利成矿构造部位,及其所对应于关键剖面的地球物理特征,如侵入岩体与围岩的接触带或者含矿断裂带等。选择国际流行的典型金属矿床类型,介绍了三级构造变形岩相带的地球物理组合信息特征及其分级利用操作流程,为有效应用地球物理勘探方法开展深部找矿预测提供了范例。  相似文献   

基于可见—近红外反射光谱的典型农田重金属污染风险分类研究     

李全坤  赵万伏  文宇博  郭超  刘连文  季峻峰 《高校地质学报》2022,28(6):799-813

对于人为因素或自然因素造成的农田土壤重金属元素污染,需要进行大面积的土壤环境质量调查和分类管控,然而传统的采样测试方法存在工作量大、代价高等问题。可见—近红外（Vis-NIR）反射光谱是一种快速低成本获取土壤理化信息的手段。为研究Vis-NIR反射光谱预测模型划分土壤重金属污染风险类别的能力,文章以典型人为污染地区（浙江温岭）和典型地质高背景地区（广西横县）的390份农田土壤为样本,测定8种重金属元素（As、Cd、Cr、Cu、Hg、Ni、Pb和Zn）的含量和pH值,并测定土壤Vis-NIR光谱。使用偏最小二乘（PLS）和支持向量机（SVM）算法建立回归模型,对土壤重金属含量和pH值进行预测,并基于预测值进行土壤重金属污染风险分类。结果显示,温岭土壤主要污染元素Cd和Cu的光谱模型回归预测偏差（RPD）分别为1.23和1.19,预测机制与有机质有关。横县土壤主要污染元素As和Cd的RPD分别为1.98和1.93,预测机制与铁氧化物和粘土矿物有关。地质高背景土壤重金属与铁氧化物的正相关性普遍较强,使得光谱模型对重金属含量预测准确度较高。温岭和横县土壤pH值的光谱模型RPD分别为1.76和1.68。土壤重金属污染风险光谱分类的总体 准确度分别为75.0%~100%（温岭）和80.0%~100％（横县）。将Vis-NIR光谱与遥感技术相结合,对农田土壤重金属污染风险进行快速分类总体是可行的。  相似文献   

Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions     

《地学前缘(英文版)》2022,13(6):101435

The past two decades have seen a rapid adoption of artificial intelligence methods applied to mineral exploration. More recently, the easier acquisition of some types of data has inspired a broad literature that has examined many machine learning and modelling techniques that combine exploration criteria, or ‘features’, to generate predictions for mineral prospectivity. Central to the design of prospectivity models is a ‘mineral system’, a conceptual model describing the key geological elements that control the timing and location of economic mineralisation. The mineral systems model defines what constitutes a training set, which features represent geological evidence of mineralisation, how features are engineered and what modelling methods are used. Mineral systems are knowledge-driven conceptual models, thus all parameter choices are subject to human biases and opinion so alternative models are possible. However, the effect of alternative mineral systems models on prospectivity is rarely compared despite the potential to heavily influence final predictions. In this study, we focus on the effect of conceptual uncertainty on Fe ore prospectivity models in the Hamersley region, Western Australia. Four important considerations are tested. (1) Five different supergene and hypogene conceptual mineral systems models guide the inputs for five forest-based classification prospectivity models model. (2) To represent conceptual uncertainty, the predictions are then combined for prospectivity model comparison. (3) Representation of three-dimensional objects as two-dimensional features are tested to address commonly ignored thickness of geological units. (4) The training dataset is composed of known economic mineralisation sites (deposits) as ‘positive’ examples, and exploration drilling data providing ‘negative’ sampling locations. Each of the spatial predictions are assessed using independent performance metrics common to AI-based classification methods and subjected to geological plausibility testing. We find that different conceptual mineral systems produce significantly different spatial predictions, thus conceptual uncertainty must be recognised. A benefit to recognising and modelling different conceptual models is that robust and geologically plausible predictions can be made that may guide mineral discovery.  相似文献   

Distribution Prediction of Middle-deep Lacustrine Source Rocks in Eocene Wenchang Formation in the Kaiping Sag,Pearl Mouth Basin     

XIONG Lianqiao  XIE Xiaojun  ZHAO Zhao  ZHANG Chunyu  WANG Long  LIAO Jihu  CAI Lulu  XU Wei 《《地质学报》英文版》2021,95(1):248-258

Oil and gas shows are rich in drilling wells in Kaiping sag,however,large oilfield was still not found in this area.For a long time,it is thought that source rocks were developed in the middle-deep lacustrine facies in the Eocene Wenchang Formation,while there is no source rocks that in middle-deep lacustrine facies have been found in well.Thickness of Wenchang Formation is big and reservoirs with good properties could be found in this formation.Distribution and scale of source rock are significant for further direction of petroleum exploration.Distribution characterization of middle-deep lacustrine facies is the base for source rock research.Based on the sedimentary background,fault activity rate,seismic response features,and seismic attributes were analyzed.No limited classification method and multi-attributes neural network deep learning method were used for predicting of source rock distribution in Wenchang Formation.It is found that during the deposition of lower Wenchang Formation,activity rate of main fault controlling the sub sag sedimentation was bigger than 100 m/Ma,which formed development background for middle-deep lacustrine facies.Compared with the seismic response of middle-deep lacustrine source rocks developed in Zhu I depression,those in Kaiping sag are characterized in low frequency and good continuity.Through RGB frequency decomposition,areas with low frequency are main distribution parts for middle-deep lacustrine facies.Dominant frequency,instantaneous frequency,and coherency attributes of seismic could be used in no limited classification method for further identification of middle-deep lacustrine facies.Based on the limitation of geology knowledge,multi-attributes of seismic were analyzed through neural network deep learning method.Distribution of middle-deep lacustrine facies in the fourth member of Wenchang Formation is oriented from west to east and is the largest.Square of the middle-deep lacustrine facies in that member is 154 km²and the volume is 50 km³.Achievements could be bases for hydrocarbon accumulation study and for exploration target optimization in Kaiping sag.  相似文献   

热河生物群爬行类化石Monjurosuchus splendens中文译名讨论及其属种分类位置研究简史     

姬书安 《地质论评》2021,67(1):67020011-67020011

Monjurosuchus splendens是辽宁西部热河生物群中最早被正式命名的爬行类化石,该属种名称在最初以英文发表的论文中并没有明确其含义,导致它的中文称谓有“文珠龙”（属名）、“荣耀满洲鳄”、“楔齿满洲鳄”等几种说法。本文认为属名（Monjurosuchus）应尊重最初命名者论文中的日文摘要表述的含义,称之为“满洲鳄”,而种名（splendens）的拉丁文并不是“楔齿”之义,应按其本义译为“华丽”,因而Monjurosuchus splendens的正确中文译名应为“华丽满洲鳄”。华丽满洲鳄的分类位置、以及其与辽宁西部另一爬行类化石“东方喙龙Rhynchosaurus orientalis”的关系长期以来亦存在着不同看法,直到20世纪末和21世纪初Monjurosuchus splendens作为有效属种名称被再次确认且被正确归入离龙目（Choristodera）。本文回顾了该属种研究历史及其分类位置的认识变化情况,支持将其归入离龙目（Choristodera）满洲鳄科（Monjurosuchidae）、而且“东方喙龙Rhynchosaurus orientalis”为华丽满洲鳄Monjurosuchus splendens的晚出同物异名这一观点。  相似文献   

基于无人机倾斜摄影的黄土滑坡信息多维提取与应用分析   总被引：2，自引：0，他引：2       下载免费PDF全文

王俊豪  魏云杰  梅傲霜  管建军  丁祥  王双亭 《中国地质》2021,48(2):388-401

本文针对黄土地区地质灾害调查与评估需求,探索了一种基于无人机倾斜摄影影像和飞控数据的滑坡单体信息多维提取的方法。通过影像处理获得的DEM、DOM和实景三维模型等多维数据,对贾家村滑坡坡形、坡度、相对高差、植被覆盖率、纵坡比降、表面积与物源体积进行定量提取,结合区域气象数据分析了贾家村滑坡年均降雨量时空分布规律,利用相关地质资料分析了其地层岩性特点和区域地质构造情况,为准确评定其稳定性及危险性提供既高效又准确的定性、定量参考依据。  相似文献   

页岩岩相分类表征及对建产区产能的影响     

欧成华  梁成钢  罗利  杨晓  李丹  李兆亮 《沉积学报》2021,39(2):269-280

单井产气能力差异大,导致持续稳产困难是页岩气建产区面临的关键难题。围绕页岩气建产区特点,建立了考虑建产区产气能力影响的优质海相页岩岩相分类表征技术流程。首先,分析了建产区优质页岩产气能力差异主控因素,制定了建产区优质页岩岩相分类方案;然后,建立了TOC含量,孔隙度,泥质、硅质、钙质矿物含量等关键参数测井计算模型,结合页岩成因类型,完成了建产区单井参数计算及岩相识别,在实例页岩气建产区识别出10类页岩岩相,揭示了页岩岩相类型与产气能力差异间的对应关系;最后,采用沉积微相约束岩相的策略,运用截断高斯模拟算法建立起实例页岩气建产区岩相三维模型,展示了每类岩相的空间分布特征,揭示了区内五峰组—龙马溪组海相黑色页岩内部产气能力差异特征,与此同时,按照满足在三维空间中所占体积比例大、产气能力大的条件,确定区内产气能力最优的岩相类型为:富碳高孔含钙泥质硅质页岩、富碳富孔混合页岩和高碳中—高孔含钙含泥硅质页岩。上述成果有利于解释建产区不同空间位置产气能力存在较大差异的本质原因,为页岩气建产区精细化生产管理提供技术支撑。  相似文献   

A novel index to evaluate discretization methods:A case study of flood susceptibility assessment based on random forest     

Xianzhe Tang  Takashi Machimura  Wei Liu  Jiufeng Li  Haoyuan Hong 《地学前缘(英文版)》2021,12(6):313-325

The selection of a suitable discretization method(DM)to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment.However,few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV.These issues were well addressed in this study.The information loss rate(ILR),an index based on the informa-tion entropy,seems can be used to select optimal DM for each SCV.However,the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV.Facing this issue,we propose an index,infor-mation change rate(ICR),that focuses on the changed amount of information due to the discretization based on each cell,enabling the identification of the optimal DM.We develop a case study with Random Forest(training/testing ratio of 7:3)to assess flood susceptibility in Wanan County,China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR.The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases.Moreover,we observed the ILR values are unnaturally small(＜1％),whereas the ICR values are obviously more in line with general recognition(usually 10％-30％).The above results all demonstrate the superiority of the ICR.We consider this study fills up the existing research gaps,improving the ML-based natural hazard susceptibility assessments.  相似文献   

毫米波雷达云回波的自动分类技术研究   总被引：1，自引：0，他引：1       下载免费PDF全文

杨晓  黄兴友  杨军  李培仁  李盈盈  杨敏  刘燕斐  张帅  闫文辉 《气象学报》2019,77(3):541-551

毫米波雷达在云探测方面比厘米波天气雷达和激光雷达具有显著优势,可获得更多的云粒子信息,是研究云特性的主要遥感探测设备。为了开展对毫米波雷达探测的云回波进行自动分类的研究,利用161次云回波的个例数据,统计得到了卷云、高层云、高积云、层云、层积云和积云6类云型的特征量和其他参量的数值范围,利用分级的多参数阈值判别方法,达到了自动分类的目标,通过与人工分类的初步验证,两种分类结果的一致性达到84%,其中,层云和积云的识别一致较低的原因在于样本数据有限,仅有6次层云和8次积云的个例样本数据。通过更多样本的处理,提取的特征参量更可靠,自动分类的准确率会得到提高,以便将基于毫米波雷达的云分类技术应用于将来的云观测自动化业务。   相似文献