鄂尔多斯盆地及周缘地区上二叠统沉积特征          下载免费PDF全文

张道锋  李程善  刘文香  马国伟  李文厚  卢子兴 《古地理学报》2021,23(1)

基于野外地质露头观察、岩心描述、薄片鉴定和地球化学等分析测试资料的综合分析,对鄂尔多斯盆地及周缘地区上二叠统石千峰组沉积岩石类型、沉积构造、沉积相类型及沉积体系空间展布等方面开展研究。结果表明,石千峰组主要发育冲积平原、三角洲平原、三角洲前缘、浅湖和南部海陆过渡的潟湖、沙坝等沉积环境,石千峰期,古气候干燥炎热,沉积古地形相对平缓,物源供给充足,形成了一套紫红色、棕红色泥岩和浅灰色中粗粒长石岩屑砂岩、岩屑长石砂岩、长石砂岩为主的地层。盆地北部三角洲规模大,以辫状河道发育沉积特征为主,砂体厚度大、横向分布稳定,而盆地南部三角洲规模相对较小。石千峰期,海水可能多次入侵盆地南部麟游-韩城-乡宁一带,发育海相夹层和沙坝沉积,一定程度上影响了南部的沉积环境和砂体展布。  相似文献   

Cretaceous paleogeomorphology restoration and its controlling mechanism on sand-bodies in Chunguang exploration area,Junggar Basin          下载免费PDF全文

Cheng Yi-Fan  Dong Yan-Lei  Zhu Xiao-Min  Yang Dao-Qing  Wu Wei  Yang Ke  Su Bin  Zhao Rui-Xing  Qiao Chen-Kai 《古地理学报》2021,22(6):1127-1142

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辽河西部凹陷曙北地区沙四段薄砂层成因类型及分布规律     

宋兵  王波  刘兴周  刘少治  陈希光  卢文忠 《地质与资源》2021,30(6):698-706

为了明确辽河西部凹陷曙北地区沙河街组四段薄砂层成因类型及分布规律,从岩心、测井响应和地震反射特征等方面总结了各类成因薄砂层的识别标志,并预测了各砂层组的砂体展布,探讨了砂体发育的控制因素,总结了沉积模式.研究结果表明,曙北地区沙四段为扇三角洲-湖泊的沉积体系,薄砂层发育水下分流河道、河口坝、低隆滩坝、沿岸浅滩4种成因类型,其中以水下分流河道和低隆滩坝为主.古地貌、古物源和古水深控制了各类砂体的展布.以曙光和兴隆台古潜山一线为界,南部为扇三角洲体系沉积区,主要发育前缘水下分流河道和河口坝;北部（包括低隆区）为无明显水流注入的半封闭湖湾区,主要发育低隆滩坝砂体和灰/云坪,在西侧沿岸局部地区还发育沿岸浅滩.储量区外大面积发育的低隆滩坝砂体,是下一步碎屑岩增储上产的潜在接替区域.  相似文献   

滇东断陷盆地南洞岩溶地下水系统地下河水文动态特征与资源量评价     

赵一  李衍青  李军  刘鹏  蓝芙宁 《地球学报》2021,42(3):324-332

本文对滇东断陷盆地南洞岩溶地下水系统各地下河的水文动态特征进行了分析,推断了南洞岩溶地下水系统的结构特征.根据岩性构造、地下河发育以及补径排关系,将其划分为四个子系统.分别采用降雨入渗系数法和径流模数法对南洞岩溶地下水系统的天然资源量进行计算,计算结果分别为35610.7万m3/a和33460.2万m3/a.用枯季径流模数法对南洞岩溶地下水系统的可采资源量进行了计算,计算结果为23407.3万m3/a,其可开采资源量巨大.南洞地下河在没有天然补给量的情况下,120天消耗的调蓄量为4503.3万m3,南洞地下河日允许开采资源量为49.4万m3/d.二号暗河建库蓄水条件下库区上游的日允许开采量为75.9万m3/d,蓄水库容来源于工程设计,资源保证程度高.本次研究可为南洞岩溶地下水资源的开发利用和调配提供科学依据.  相似文献   

渤海海域埕岛低凸起东部南区新生代断裂系统及油气分布的控制作用     

谢宗奎  王志伟  明玉坤  王明  张在振  杨彬  马自超  孙士杰  黄元俊 《地学前缘》2021,28(5):413-420

埕岛低凸起东部南区新生代受控于伸展与走滑作用,断裂构造复杂,传统认为中深层北东向与近东西向断层属于同期同沉积断层。针对这一观点及引起的问题,利用钻井和地震资料,运用构造地质理论解析断裂系统。研究区主要发育正断层、走滑正断层两种类型,断开层位有基底—东营组、平原组—东营组、平原组—基底三种情况,现今断裂以东营组与馆陶组之间的区域不整合面为时限划分为两期断裂系统。早期断裂主要切开基底—东下段,属于同沉积断层;晚期断裂主要切开平原组—东营组,可断达基底,其发育受早期断裂制约。北东向与近东西向断层分别属于早晚两期断裂系统,对油气分布各起关键性控制作用:先期基底升降引起的伸展作用形成北东向断层,控制洼槽地貌与深水重力流沉积环境,发育了连片的层状砂质碎屑流;后期郯庐断裂右行走滑派生了近东西向雁列断层,断层面既充当储层上倾方向的遮挡条件,又在东西向挤压时封闭性变差而变成油气垂向运移通道,断层及断层作用控制了圈闭分布与油气聚集的有序性,自东向西,圈闭及油水界面依次升高且充满度变小,呈全充满、欠充满、半充满等状态。断裂系统研究将地质体置于一定的构造应力场中,分析断层组合的空间排列和交切关系以及断层的力学机制和位移特征等,探究时空演化对油气分布的控制作用。断裂系统研究方法在构造作用叠合区具有适宜性,对该区及类似地区的勘探开发具有现实意义。  相似文献   

全民所有自然资源资产管理考核评价机制与方法研究     

周玉  邹朝晖 《上海国土资源》2021,(1):90-94

本文采用对比分析与归纳分析法,在明确全民所有自然资源资产管理考核评价机制定位的基础上,充分借鉴和参考现有相关考核评价制度的设计思路,围绕“考核谁、谁来考、怎么考、考什么、结果怎么定、结果怎么用”等关键问题,从考核评价对象和实施主体、考核评价方式和实施、考核评价结果应用、考核评价内容和指标体系构建、考核评价结果评定方法等方面,提出构建全民所有自然资源资产管理考核评价机制和方法的思路,为推进生态文明建设和自然资源资产产权制度改革提供支撑。  相似文献   

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer   总被引：1，自引：0，他引：1  

Wei Chen  Xi Chen  Jianbing Peng  Mahdi Panahi  Saro Lee 《地学前缘(英文版)》2021,12(1):93-107

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.  相似文献   

Geochronological and geochemical evidence for a Late Ordovician to Silurian arc-back-arc system in the northern Great Xing'an Range,NE China     

Bo Liu  Jia-Fu Chen  Bao-Fu Han  Jun-Lai Liu  Jia-Wei Li 《地学前缘(英文版)》2021,12(1):131-145

The early Paleozoic tectonic evolution of the Xing'an-Mongolian Orogenic Belt is dominated by two oceanic basins on the northwestern and southeastern sides of the Xing'an Block,i.e.,the Xinlin-Xiguitu Ocean and the Nenjiang Ocean.However,the early development of the Nenjiang Ocean remains unclear.Here,we present zircon U-Pb geochronology and whole-rock elemental and Sr-Nd isotopic data on the gabbros in the Xinglong area together with andesitic tuffs and basalts in the Duobaoshan area.LA-ICP-MS zircon U-Pb dating of gabbros and andesitic tuffs yielded crystallization ages of 443-436 Ma and 452-451 Ma,respectively.The Early Silurian Xinglong gabbros show calc-alkaline and E-MORB affinities but they are enriched in LILEs,and depleted in HFSEs,with relatively low U/Th ratios of 0.18-0.36 andεNd(t)values of-1.6 to+0.5.These geochemical features suggest that the gabbros might originate from a mantle wedge modified by pelagic sediment-derived melts,consistent with a back-arc basin setting.By contrast,the andesitic tuffs are characterized by high MgO(>5 wt.%),Cr(138-200 ppm),and Ni(65-110 ppm)contents,and can be termed as high-Mg andesites.Their low Sr/Y ratios of 15.98-17.15 and U/Th values of 0.24-0.25 and moderate(La/Sm)_n values of 3.07-3.26 are similar to those from the Setouchi Volcanic Belt(SW Japan),and are thought to be derived from partial melting of subducted sediments,and subsequent melt-mantle interaction.The Duobaoshan basalts have high Nb(8.44-10.30 ppm)and TiO2 contents(1.17-1.60 wt.%),typical of Nb-enriched basalts.They are slightly younger than regional adakitic rocks and have positiveεNd(t)values of+5.2 to+5.7 and are interpreted to be generated by partial melting of a depleted mantle source metasomatized by earlier adakitic melts.Synthesized with coeval arc-related igneous rocks from the southeastern Xing'an Block,we propose that the Duobaoshan high-Mg andesitic tuffs and Nbenriched basalts are parts of the Late Ordovician and Silurian Sonid Zuoqi-Duobaoshan arc belt,and they were formed by the northwestern subduction of the Nenjiang Ocean.Such a subduction beneath the integrated Xing'an-Erguna Block also gave rise to the East Ujimqin-Xinglong igneous belt in a continental back-arc basin setting.Our new data support an early Paleozoic arc-back-arc model in the northern Great Xing'an Range.  相似文献   

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks     

Husam A.H.Al-Najjar  Biswajeet Pradhan 《地学前缘(英文版)》2021,12(2):625-637

In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models.  相似文献   

国家级天气预报检验分析系统建设与应用   总被引：1，自引：1，他引：0       下载免费PDF全文

韦青  李伟  彭颂  薛峰  赵声蓉  张金艳  齐丹 《应用气象学报》2019,30(2):245-256

为了适应精细化预报和业务管理的发展需求,国家气象中心建设开发了基于Web的国家级天气预报检验分析系统。系统分为预报检验、检验文件解析处理、检验数据查询分析与检验平台管理4个功能模块,关键技术包括标准化的数据管理、开放式的算法模块管理与调度和检验数据的可视化分析。系统建立了规范高效的检验业务数据流程,兼容处理预报分析制作系统（MICAPS）数据、GRIB2数据、城镇报数据、自动气象站数据等其他专业气象数据,涵盖了国家级省级智能网格预报、全国城镇天气预报、定量降水预报、大城市空气质量预报等数十项检验业务产品,给出了空间分布、柱状图及数据表格等展现形式。系统为全国各级预报员、模式开发人员和管理人员提供预报检验反馈信息,为各省以及国家级预报业务考核提供了信息支撑;同时系统提供逐旬、月、年度的智能网格预报以及城镇天气预报的检验结果对比,有力支撑了智能网格预报产品业务研发和业务试验。  相似文献