2. 您的位置
3. 首页
4. 期刊论文
5. Geology, geochronology and geochemistry of large Duobaoshan Cu-Mo-Au orefield in NE China: Magma gen

Geology, geochronology and geochemistry of large Duobaoshan Cu-Mo-Au orefield in NE China: Magma gen

来源 :地学前缘:英文版 | 被引量 : 0次 | 上传用户：carefreebeet

【摘 要】

：

Duobaoshan is the largest porphyry-related Cu-Mo-Au orefield in northeastern(NE)Asia,and hosts a number of large-medium porphyry Cu(PCDs),epithermal Au and Fe-C

【作 者】

：

Wen-yan Cai Ke-yong Wang Jian 

【机 构】

：

CollegeofEarthSciences,CollegeofGeologyandMiningEngineering,KeyLaboratoryofMineralResourcesEvaluatio

【出 处】

：

地学前缘:英文版

【发表日期】

：

2021年1期

【关键词】

：

Duobaoshan Cu-Mo-Au orefield(NE China) Porphyry Cu deposit Epithermal Au deposit 

【基金项目】

：

funded by the China Geological Survey,the Chinese Ministry of Science and Technology(2017YFC0601304),the Cu-Mo-Au-Ag Metallogenic Regularity in Duobaoshan-Sankuanggou Belt Project(DT-2017-SJC-12)

下载到本地 , 更方便阅读

下载此文 赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

Duobaoshan is the largest porphyry-related Cu-Mo-Au orefield in northeastern(NE)Asia,and hosts a number of large-medium porphyry Cu(PCDs),epithermal Au and Fe-Cu skarn deposits.Formation ages of these deposits,from the oldest(Ordovician)to youngest(Jurass

其他文献

New sedimentological and palynological data from the Yarkand-Fergana Basin(Kyrgyz Tian Shan): Insigh

The Talas Fergana/Karatau Fault,is a major tectonic boundary separating the Kazakh-Turan domain to the west from the Tian Shan domain to the east.During the Jur

期刊

CentralAsiaTalasFergana/KaratauFaultExtensionJURASSIC

A comparative study of geometric and geostatistical methods for qualitative reserve estimation of li

Mining projects especially relating to limestone deposits require an accurate knowledge of tonnage and grade,for both short and long-term planning.This is often

期刊

GEOSTATISTICSGEOMETRICTriangularblockLIMESTONEQualitymapsOrdinarykriging

Non-parametric machine learning methods for interpolation of spatially varying non-stationary and no

Spatial interpolation has been frequently encountered in earth sciences and engineering.A reasonable appraisal of subsurface heterogeneity plays a significant r

期刊

SpatialinterpolationMultiplepointstatisticsBayesiancompressivesamplingCo

Water in coesite: Incorporation mechanism and operation condition,solubility and P-T dependence, and

A series of coesite,coexisting with or without a liquid phase,was synthesized in the nominal system SiO2-H2O at800-1450℃and 5 GPa.Micro-Raman spectroscopy was

期刊

CoesitepreservationFTIRNewIRexperimentalProtocolAnhydrousmineralsP-Tde

Modelling of shallow landslides with machine learning algorithms

This paper introduces three machine learning(ML)algorithms,the‘ensemble'Random Forest(RF),the‘ensemble'Gradient Boosted Regression Tree(GBRT)and the M

期刊

ShallowlandslideSpatialmodellingMachinelearningGIS

Application of soft computing techniques for shallow foundation reliability in geotechnical engineer

This research focuses on the application of three soft computing techniques including Minimax Probability Machine Regression(MPMR),Particle Swarm Optimization b

期刊

ReliabilityanalysisMPMRANN-PSOANFIS-PSOAnderson-DarlingtestMann-Whitneyt

Landslide identification using machine learning

Landslide identification is critical for risk assessment and mitigation.This paper proposes a novel machinelearning and deep-learning method to identify natural

期刊

LandslideriskLandslideidentificationMachinelearningDeeplearningBigdata

Deep learning based classification of rock structure of tunnel face

The automated interpretation of rock structure can improve the efficiency,accuracy,and consistency of the geological risk assessment of tunnel face.Because of t

期刊

ConvolutionalneuralnetworkInception-ResNet-V2RockstructureImageclassifica

Stochastic seismic slope stability assessment using polynomial chaos expansions combined with releva

This paper presents probabilistic assessment of seismically-induced slope displacements considering uncertainties of seismic ground motions and soil properties.

期刊

EARTHQUAKE3DslopestabilityFailureprobabilitySeismicdisplacementsSeismic

Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algor

Compression index Ccis an essential parameter in geotechnical design for which the effectiveness of correlation is still a challenge.This paper suggests a novel

期刊

COMPRESSIBILITYClaysMachinelearningOptimizationRandomforestGeneticalgori