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地学前缘(英文版)
地学前缘(英文版)

莫宣学

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1674-9871

geofrontier@cugb.edu.cn

010-82322283,82321855

100083

北京市海淀区学院路29号中国地质大学（北京）期刊中心

地学前缘(英文版)/Journal GEOSCIENCE FRONTIERSCSCDCSTPCD北大核心SCI
查看更多>>GEOSCIENCE FRONTIERS (GSF) is a quarterly journal that publishes in English significant original research articles and high quality reviews of recent advances in all fields of Earth Sciences — including stratigraphy and paleontology, mineralogy and petrology, economic geology and minerals and fuel exploration, structural geology, lithospheric tectonics, environmental and engineering geology, hydrogeology, astrogeology, marine geology, and geophysics and geochemistry. Technical papers, case histories, reviews, and discussions are welcomed.
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    Fifteen years of Geoscience Frontiers and moving forward

    Xuanxue Mo
    1页
      原文链接:
    • 万方数据
    • 维普

    Multi-isotope and geochemical approach to the magma source and tectonic setting of Proterozoic anorthosite massifs and Anorthosite-Mangerite-Charnockite-Granite(AMCG)suites

    L.A.Elizondo-PachecoL.A.SolariR.González-GuzmánH.L.He...
    3-22页
    查看更多>>摘要：The occurrence of massif-type anorthosite intrusions is a widespread Proterozoic phenomenon.They are usually associated with gabbroic,charnockitic,and granitic rocks,comprising the so-called anorthosite-mangerite-charnockite-granite(AMCG)suite.Although these rocks have been extensively studied world-wide,several aspects concerning their formation remain unsettled.Among them,the magma source and the tectonic setting are the most important.To evaluate these issues,we first compiled geochemical and isotopic data of Proterozoic anorthosite massifs and AMCG suites worldwide and stored it in a database named datAMCG.This plethora of data allows us to make some important interpretations.We argue that the wide-ranging multi-isotopic composition of this group of rocks reflects varying proportions of juve-nile mantle-derived melts and crustal components.We interpret that the precursor magmas of most massive anorthosite bodies and associated mafic rocks have a mantle-dominated origin.However,we highlight that a crustal component is indispensable to generate these lithologies.Adding variable amounts of this material during succeeding multi-stage assimilation-fractional crystallization(AFC)pro-cesses gives these intrusions their typical mantle-crustal hybrid isotopic traits.In contrast,a crustal-dominant origin with a complementary mantle component is interpreted for most MCG rocks.In sum-mary,the isotopic information in datAMCG indicates that both sources are necessary to generate AMCG rocks.Therefore,we suggest that hybridized magmas with different mantle-crust proportions originate these rocks.This interpretation might offer a more nuanced and accurate depiction of this phe-nomenon in future work instead of choosing a single-sourced model as in the past decades.Finally,tectonomagmatic diagrams suggest that the rocks under study were likely generated in a tectonic envi-ronment that transitioned between collision and post-collisional extension,sometimes involving subduction-modified mantle sources.This interpretation is supported by geological and geochronological information from most complexes,thus challenging the Andean-type margins as an ideal tectonic setting.
      原文链接:
    • 万方数据

    Spatio-temporal assessment of soil salinization utilizing remote sensing derivatives,and prediction modeling:Implications for sustainable development

    Prashant KumarPrasoon TiwariArkoprovo BiswasPrashant Kumar Srivastava...
    23-37页
    查看更多>>摘要：This study aims to investigate the combined use of multi-sensor datasets(Landsat 4-5 & 8 OL1 satellite imagery,spatial resolution=30 m)coupled with field studies to evaluate spatio-temporal dynamics of soil salinization along the coastal belt in West Bengal,India.This study assesses soil salinization by map-ping the salinity and electrical conductivity of saturation extract(ECe)and utilizing spectral signatures for estimating soil salinity.The SI change(％)was analyzed(2021-1995),categorizing increases in salinity levels into 5％,10％,and 50％changes possibly due to salt encrustation on the soil layers.The land use land cover(LULC)change map(2021-1995)demonstrates that the study area is continuously evolving in terms of urbanization.Moreover,in the study area,soil salinity ranges from 0.03 ppt to 3.87 ppt,and ECe varies from 0.35 dSm-1 to 52.85 dSm-1.Additionally,vulnerable saline soil locations were further identified.Classification of soil salinity based on ECe reveals that 26％of samples fall into the non-saline category,while the rest belong to the saline category.The Spectral signatures of the soil samples(n=19)acquired from FieldSpec hand spectrometer show significant absorption features around 1400,1900,and 2250 nm and indicate salt minerals.The results of reflectance spectroscopy were cross-validated using X-ray fluorescence and scanning electron microscopy.This study also employed partial least square regression(PLSR)approach to predict ECe(r2=0.79,RMSE=3.29)and salinity parameters(r2=0.75,RMSE=0.51),suggesting PLSR applicability in monitoring salt-affected soils globally.This study's conclusion emphasizes that remote sensing data and multivariate analysis can be crucial tools for mapping spatial variations and predicting soil salinity.It has also been concluded that saline ground-water used for irrigation and aqua-cultural activities exacerbates soil salinization.The study will help policymakers/farmers identify the salt degradation problem more effectively and adopt immediate mit-igation measures.
      原文链接:
    • 万方数据
    • 维普

    Potassium isotopes trace the formation of juvenile continental crust

    Hamed GamaleldienKun WangTim E.JohnsonJian-Feng Ma...
    39-44页
    查看更多>>摘要：Constraining the processes associated with the formation of new(juvenile)continental crust from mantle-derived(basaltic)sources is key to understanding the origin and evolution of Earth's landmasses.Here we present high-precision measurements of stable isotopes of potassium(K)from Earth's most voluminous plagiogranites,exposed near El-Shadli in the Eastern Desert of Egypt.These plagiogranites exhibit a wide range of 641 K values(-0.31‰±0.06‰ to 0.36‰±0.05‰;2 SE,standard error)that are significantly higher(isotopically heavier)than mantle values(-0.42‰±0.08‰).Isotopic(87Sr/86Sr and 143Nd/144Nd)and trace element data indicate that the large variation in δ41K was inherited from the basaltic source rocks of the El-Shadli plagiogranites,consistent with an origin through partial melting of hydrothermally-altered mid-to-lower oceanic crust.These data demonstrate that K isotopes have the potential to better constrain the source of granitoid rocks and thus the secular evolution of the con-tinental crust.
      原文链接:
    • 万方数据
    • 维普

    A novel multi-scale μCT characterization method to quantify biogenic carbonate production

    V.ChandraR.SicatF.BenzoniV.Vahrenkamp...
    45-58页
    查看更多>>摘要：Biogenic carbonate structures such as rhodoliths and foraminiferal-algal nodules are a significant part of marine carbonate production and are being increasingly used as paleoenvironmental indicators for pre-dictive modeling of the global carbon cycle and ocean acidification research.However,traditional meth-ods to characterize and quantify the carbonate production of biogenic nodules are typically limited to two-dimensional analysis using optical and electron microscopy.While micro-computed tomography(μCT)is an excellent tool for 3D analysis of inner structures of geomaterials,the trade-off between sam-ple size and image resolution is often a limiting factor.In this study,we address these challenges by using a novel multi-scale μCT image analysis methodology combined with electron microscopy,to visualize and quantify the carbonate volumes in a biogenic calcareous nodule.We applied our methodology to a foraminiferal-algal nodule collected from the Red Sea along the coast of NEOM,Saudi Arabia.Integrated μCT and SEM image analyses revealed the main biogenic carbonate components of this nodule to be encrusting foraminifera(EF)and crustose coralline algae(CCA).We developed a multi-scale μCT analysis approach for this study,involving a hybrid thresholding and machine-learning based image seg-mentation.We utilized a high resolution μCT scan from the sample as a ground-truth to improve the seg-mentation of the lower resolution full volume μCT scan which provided reliable volumetric quantification of the EF and CCA layers.Together,the EF and CCA layers contribute to approximately 65.5％of the studied FAN volume,corresponding to 69.01 cm3 and 73.32 cm3 respectively,and the rest is comprised of sediment infill,voids and other minor components.Moreover,volumetric quantification results in conjunction with CT density values,indicate that the CCA layers are associated with the highest amount of carbonate production within this foraminiferal-algal nodule.The methodology developed for this study is suitable for analyzing biogenic carbonate structures for a wide array of applications includ-ing quantification of carbonate production and studying the impact of ocean acidification on skeletal structures of marine calcifying organisms.In particular,the hybrid μCT image analysis we adopted in this study proved to be advantageous for the analysis of biogenic structures in which the textures and com-ponents of the internal layers are distinctly visible despite having an overlap in the range of CT density values.
      原文链接:
    • 万方数据

    Anatomy and genesis of the world's largest carbonate-hosted Zn-Pb deposit:New insights from ore characteristics,Zn-Pb-C-O isotopes,and trace element constraints of the Huoshaoyun deposit,Karakorum Range,Xinjiang

    Qiang KeTao HongM.SantoshHao Li...
    59-81页
    查看更多>>摘要：The Huoshaoyun deposit in the Karakorum area of NW China is the world's largest zinc-lead carbonate ore deposit.Here we investigate the genesis of the mineralization based on multiproxy investigations.The deposit contains zinc-lead carbonate and sulfide minerals,with smithsonite(Smt),cerussite(Cer),and sulfides accounting for 85％,10％,and 5％of the total lead and zinc resources,respectively.Three ore-forming stages,involving Smt,Cer,and sulfides ores were summarized.The Smt mineralization is characterized by veined,massive,and stratified Smt forming horizontal sedimentary layered ore and ver-tical feeder veins similar to the SEDEX-type deposits.The sulfide and Cer veins display typical hydrother-mal characteristics and are superimposed on the massive Smt ores.The Smt ores show high Li,Be,Cr,Y,Ba,Nd,Yb,and Zr contents,whereas the Cer veins have extremely high Sr contents(up to 3814-9174 ppm)and low Zr contents(less than 0.01 ppm).Galena and sphalerite show higher Cd concentra-tions compared to Smt and Cer ores.The Smt ores differ with different spatial locations,with Smt ores formed at the vent have δ66Zn values of+0.15‰ to+0.21‰,the massive Smt formed close to the vent show a value of+0.13‰,and those formed away from the vent show a value of 0.05‰,all values being close to 0.The sulfides have δ66Zn values of-0.09‰ to+0.04‰.The C-O isotopes of Smt ores are similar to both altered and unaltered host limestone,suggesting that the limestone was a potential source for carbon and oxygen.Quartz with veined Smt shows magmatic signatures with δ18OVSMOW of+1.14‰ to+2.23‰,high Pb(115-401 ppm)and Zn concentrations(390-997 ppm),whereas quartz associated with sulfide has meteoric fluid signa-ture with the lowest δ18OVSMOW(-14‰ to-10.7‰),low Pb(11.6-49.0 ppm)and Zn(18.1-72.8 ppm)concentrations.The temperature of equilibration computed based on oxygen isotope fractionation between Smt and coeval quartz indicate a dual source with that of quartz derived from an aqueous fluid,whereas the source for Smt might involve CO2 or HCO3-.We trace multiple metallogenic stages for this deposit including exhalation,hydrothermal deposition,and fault-controlled sulfide vein formation.The largest orebody(Ⅲ-1)preserves a 16 Mt reserve of Zn and was formed by crust-mantle interaction at ca.195 Ma in the early development of the Linjitang post-arc rift system.Fluid convection,zinc enrichment driven by granitic magma,volcanic activity,and karst alteration induced by acid rain in a lagoonal environment promoted ore enrichment.
      原文链接:
    • 万方数据

    Uncertainties in landslide susceptibility prediction modeling:A review on the incompleteness of landslide inventory and its influence rules

    Faming HuangDaxiong MaoShui-Hua JiangChuangbing Zhou...
    83-107页
    查看更多>>摘要：Landslide inventory is an indispensable output variable of landslide susceptibility prediction(LSP)mod-elling.However,the influence of landslide inventory incompleteness on LSP and the transfer rules of LSP resulting error in the model have not been explored.Adopting Xunwu County,China,as an example,the existing landslide inventory is first obtained and assumed to contain all landslide inventory samples under ideal conditions,after which different landslide inventory sample missing conditions are simulated by random sampling.It includes the condition that the landslide inventory samples in the whole study area are missing randomly at the proportions of 10％,20％,30％,40％and 50％,as well as the condition that the landslide inventory samples in the south of Xunwu County are missing in aggregation.Then,five machine learning models,namely,Random Forest(RF),and Support Vector Machine(SVM),are used to perform LSP.Finally,the LSP results are evaluated to analyze the LSP uncertainties under various con-ditions.In addition,this study introduces various interpretability methods of machine learning model to explore the changes in the decision basis of the RF model under various conditions.Results show that(1)randomly missing landslide inventory samples at certain proportions(10％-50％)may affect the LSP results for local areas.(2)Aggregation of missing landslide inventory samples may cause significant biases in LSP,particularly in areas where samples are missing.(3)When 50％of landslide samples are missing(either randomly or aggregated),the changes in the decision basis of the RF model are mainly manifested in two aspects:first,the importance ranking of environmental factors slightly differs;second,in regard to LSP modelling in the same test grid unit,the weights of individual model factors may dras-tically vary.
      原文链接:
    • 万方数据
    • 维普

    Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models

    Yingdong WeiHaijun QiuZijing LiuWenchao Huangfu...
    109-124页
    查看更多>>摘要：Landslide susceptibility assessment is crucial in predicting landslide occurrence and potential risks.However,traditional methods usually emphasize on larger regions of landsliding and rely on relatively static environmental conditions,which exposes the hysteresis of landslide susceptibility assessment in refined-scale and temporal dynamic changes.This study presents an improved landslide susceptibility assessment approach by integrating machine learning models based on random forest(RF),logical regression(LR),and gradient boosting decision tree(GBDT)with interferometric synthetic aperture radar(InSAR)technology and comparing them to their respective original models.The results demonstrated that the combined approach improves prediction accuracy and reduces the false negative and false pos-itive errors.The LR-InSAR model showed the best performance in dynamic landslide susceptibility assess-ment at both regional and smaller scale,particularly when identifying areas of high and very high susceptibility.Modeling results were verified using data from field investigations including unmanned aerial vehicle(UAV)flights.This study is of great significance to accurately assess dynamic landslide sus-ceptibility and to help reduce and prevent landslide risk.
      原文链接:
    • 万方数据
    • 维普

    A comprehensive framework for assessing the spatial drivers of flood disasters using an Optimal Parameter-based Geographical Detector-machine learning coupled model

    Luyi YangXuan JiMeng LiPengwu Yang...
    125-140页
    查看更多>>摘要：Flood disasters pose serious threats to human life and property worldwide.Exploring the spatial drivers of flood disasters on a macroscopic scale is of great significance for mitigating their impacts.This study proposes a comprehensive framework for integrating driving-factor optimization and interpretability,while considering spatial heterogeneity.In this framework,the Optimal Parameter-based Geographic Detector(OPGD),Recursive Feature Estimation(RFE),and Light Gradient Boosting Machine(LGBM)mod-els were utilized to construct the OPGD-RFE-LGBM coupled model to identify the essential driving fac-tors and simulate the spatial distribution of flood disasters.The SHapley Additive ExPlanation(SHAP)interpreter was employed to quantitatively explain the driving mechanisms behind the spatial distribu-tion of flood disasters.Yunnan Province,a typical mountainous and plateau area in Southwest China,was selected to implement the proposed framework and conduct a case study.For this purpose,a flood dis-aster inventory of 7332 historical events was prepared,and 22 potential driving factors related to precip-itation,surface environment,and human activity were initially selected.Results revealed that flood disasters in Yunnan Province exhibit high spatial heterogeneity,with geomorphic zoning accounting for 66.1％of the spatial variation in historical flood disasters.The OPGD-RFE-LGBM coupled model offers clear advantages over a single LGBM in identifying essential driving factors and quantitatively analyzing their impacts.Moreover,the simulation performance shows a slight improvement(a 6％average decrease in RMSE and an average increase of 1％in R2)even with reduced factor data.Factor explanatory analysis indicated that the combination of the essential driving factor sets varied across different subregions;nev-ertheless,precipitation-related factors,such as precipitation intensity index(SDII),wet days(R10MM),and 5-day maximum precipitation(RX5day),were the main driving factors controlling flood disasters.This study provides a quantitative analytical framework for the spatial drivers of flood disasters at large scales with significant heterogeneity,offering a reference for disaster management authorities in devel-oping macro-strategies for disaster prevention.
      原文链接:
    • 万方数据
    • 维普

    Evolution of Paleozoic West Junggar Basin,NW China:Seismic data,detrital zircon evidence from Earth's oldest alkali lake deposit

    Dongming ZhiDeyu GongMingxin LiuM.Santosh...
    141-159页
    查看更多>>摘要：The Permian Fengcheng Formation of the Western Junggar region in the Southwestern Central Asian Orogenic Belt(CAOB)represents one of Earth's oldest alkali lake deposits.Here,we present a comprehen-sive study of the stratigraphy,petrography,two-dimensional seismic data,U-Pb geochronology,and Hf isotope analysis of detrital zircons of this deposit.The results,in conjunction with published data,reflect the tectonic evolution of southwestern CAOB.The ages of detrital zircons indicate that the Fengcheng Formation deposition is inferred to have concluded the early Permian Kungurian.The Hf isotopes of detri-tal zircons indicate that the detritus for the Fengcheng Formation was derived from upper crustal mag-matic sources.The West Junggar Basin preserves the records of three Paleozoic tectonic stages.The first stage occurred in the Early Paleozoic and involved intraoceanic subduction and arc-continent collision.The second stage involved the Carboniferous closure of the Junggar Ocean following successive filling of oceanic basins.The final stage occurred in the Early Permian and was related to intracontinental rifting and tectonic inversion.The results of comparing the comprehensive data of U-Pb ages and Hf isotopes of 2537 zircons from West Junggar,Tianshan and Altay show that the orogenic belts to the south of the CAOB experienced similar plate kinematics and vertical crustal growth in the Paleozoic.
      原文链接:
    • 万方数据