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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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    A back analysis scheme for refined soil stratification based on integrating borehole and CPT data

    Jiawei XieCheng ZengJinsong HuangYuting Zhang...
    1-16页
    查看更多>>摘要:Utilizing both borehole and Cone Penetration Testing(CPT)data in soil stratification helps to get more convincing soil stratification results.However,the soil classification results revealed by borehole(Unified Soil Classification System,USCS)and CPT tests(soil behavior type,SBT)are commonly not con-sistent.This study proposes a feasible solution to integrate the borehole and CPT data with the tree-based method.The tree-based method is naturally suitable for soil stratification tasks as it aims to divide the subsurface space into several clusters based on the similarities of the soil types.A novel boundary dic-tionary method is proposed to enhance the model performance on complex soil layer conditions.A prob-abilistic mapping matrix between the USCS-SBT system is built based on a collected municipal database with collocated borehole and CPT data.The optimal soil stratification results can be selected based on considering multiple borehole information and pruning the structure of trees.The structure of the trees can be optimized in a back analysis perspective with the Sequential Model-Based Global Optimization(SMBO)algorithm which aims to maximize the possibility of observing the borehole information based on the USCS-SBT probabilistic mapping matrix.The uncertainties of the optimal soil stratification results can be estimated based on a weighted Gini index method.The performance of the proposed method is validated based on a real case in New Zealand with a cross-validation method.The results indicate that the proposed method is robust and effective.

    Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations

    Tan MiDie TangJianbo FuWen Zeng...
    17-28页
    查看更多>>摘要:As most air quality monitoring sites are in urban areas worldwide,machine learning models may produce substantial estimation bias in rural areas when deriving spatiotemporal distributions of air pollutants.The bias stems from the issue of dataset shift,as the density distributions of predictor variables differ greatly between urban and rural areas.We propose a data-augmentation approach based on the multiple imputation by chained equations(MICE-DA)to remedy the dataset shift problem.Compared with the benchmark models,MICE-DA exhibits superior predictive performance in deriving the spatiotemporal distributions of hourly PM2.5 in the megacity(Chengdu)at the foot of the Tibetan Plateau,especially for correcting the estimation bias,with the mean bias decreasing from-3.4 μg/m3 to-1.6 μg/m3.As a complement to the holdout validation,the semi-variance results show that MICE-DA decently preserves the spatial autocorrelation pattern of PM2.5 over the study area.The essence of MICE-DA is strengthening the correlation between PM2.5 and aerosol optical depth(AOD)during the data augmentation.Consequently,the importance of AOD is largely enhanced for predicting PM2.5,and the summed relative importance value of the two satellite-retrieved AOD variables increases from 5.5%to 18.4%.This study resolved the puzzle that AOD exhibited relatively lower importance in local or regional studies.The results of this study can advance the utilization of satellite remote sensing in modeling air quality while drawing more attention to the common dataset shift problem in data-driven environmental research.

    A graph deep learning method for landslide displacement prediction based on global navigation satellite system positioning

    Chuan YangYue YinJiantong ZhangPenghui Ding...
    29-38页
    查看更多>>摘要:The accurate prediction of displacement is crucial for landslide deformation monitoring and early warn-ing.This study focuses on a landslide in Wenzhou Belt Highway and proposes a novel multivariate land-slide displacement prediction method that relies on graph deep learning and Global Navigation Satellite System(GNSS)positioning.First model the graph structure of the monitoring system based on the engi-neering positions of the GNSS monitoring points and build the adjacent matrix of graph nodes.Then con-struct the historical and predicted time series feature matrixes using the processed temporal data including GNSS displacement,rainfall,groundwater table and soil moisture content and the graph struc-ture.Last introduce the state-of-the-art graph deep learning GTS(Graph for Time Series)model to improve the accuracy and reliability of landslide displacement prediction which utilizes the temporal-spatial dependency of the monitoring system.This approach outperforms previous studies that only learned temporal features from a single monitoring point and maximally weighs the prediction perfor-mance and the priori graph of the monitoring system.The proposed method performs better than SVM,XGBoost,LSTM and DCRNN models in terms of RMSE(1.35 mm),MAE(1.14 mm)and MAPE(0.25)evaluation metrics,which is provided to be effective in future landslide failure early warning.

    The role of disaggregated renewable energy consumption on income and load capacity factor:A novel inclusive sustainable growth approach

    Ugur Korkut PataQiang WangMustafa Tevfik KartalArshian Sharif...
    39-49页
    查看更多>>摘要:Stimulating renewable energy consumption is a major focus of the Sustainable Development Goals in combating climate change and global warming.The International Energy Agency estimates that renew-able energy consumption should be doubled to achieve the COP21 targets.In this context,the question is whether renewable energy types promote the improvement of ecological quality and economic growth.Most studies have investigated the influence of renewable energy on ecological pollution using carbon dioxide emissions or ecological footprint indicators,which only represent the pollution caused by human consumption patterns,and these indicators neglect the supply side.Motivated by this point,this study uses the LCF(Load Capacity Factor)as an environmental indicator and examines the causality relation-ship among different types of renewable energy,income,and environmental quality in the USA,while also incorporating employment and capital stock into the analysis.Through using the Fourier causality test with the wavelet-decomposed series,the study explores for the validity of the renewable energy-based growth hypothesis and answers to the question of whether there is a causal effect of renewable energy types on environmental quality.The results demonstrate that there is a bidirectional causality between total renewable energy,wood,biomass,and economic growth as well as between these renew-able energy types and the LCF.

    Melting of hydrous pyroxenites with alkali amphiboles in the continental mantle:2.Trace element compositions of melts and minerals

    Stephen F.FoleyIsra S.Ezad
    51-69页
    查看更多>>摘要:The trace element compositions of melts and minerals from high-pressure experiments on hydrous pyroxenites containing K-richterite are presented.The experiments used mixtures of a third each of the natural minerals clinopyroxene,phlogopite and K-richterite,some with the addition of 5%of an accessory phase ilmenite,rutile or apatite.Although the major element compositions of melts resemble natural lamproites,the trace element contents of most trace elements from the three-mineral mixture are much lower than in lamproites.Apatite is required in the source to provide high abundances of the rare earth elements,and either rutile and/or ilmenite is required to provide the high field strength elements Ti,Nb,Ta,Zr and Hf.Phlogopite controls the high levels of Rb,Cs and Ba.Since abundances of trace elements in the various starting mixtures vary strongly because of the use of natural minerals,we calculated mineral/melt partition coefficients(DMin/melt)using mineral modes and melting reactions and present trace element patterns for different degrees of partial melting of hydrous pyroxenites.Rb,Cs and Ba are compatible in phlogopite and the partition coefficient ratio phlogopite/K-richterite is high for Ba(136)and Rb(12).All melts have low contents of most of the first row transition elements,particularly Ni and Cu((0.1-0.01)×primitive mantle).Nickel has high DMin/melt for all the major minerals(12 for K-richterite,9.2 for phlogopite and 5.6 for Cpx)and so behaves at least as compat-ibly as in melting of peridotites.Fluorine/chlorine ratios in melts are high and DMin/melt for fluorine decreases in the order apatite(2.2)>phlogopite(1.5)>K-richterite(0.87).The requirement for apatite and at least one Ti-oxide in the source of natural lamproites holds for mica pyroxenites that lack K-richterite.The results are used to model isotopic ageing in hydrous pyroxenite source rocks:phlogopite controls Sr isotopes,so that lamproites with relatively low 87Sr/86Sr must come from phlogopite-poor source rocks,probably dominated by Cpx and K-richterite.At high pressures(>4 GPa),peritectic Cpx holds back Na,explaining the high K2O/Na2O of lamproites.

    The Early-Middle Triassic Supervolcano in the Yangtze Block,South China and associated obstacles to biotic recovery

    Haifeng ChenHao ZouM.SantoshHuawen Cao...
    71-85页
    查看更多>>摘要:The end-Permian mass extinction was one of the major global crises spanning the entire Early Triassic or longer.Eruptions of volcanos were one of the factors that delayed the biotic recovery after this event.Supervolcano eruptions can cause catastrophic effects on global environment,climate,and life.Here we investigate the tuff layers from Early-Middle Triassic boundary in the Yangtze Block and identify a supervolcano eruption event.The zircon U-Pb ages of the section-Langdai,section-Daijiagou and sec-tion-Longmendong tuff samples are 247.1±1.9 Ma,247.6±2.0 Ma and 247.7±1.7 Ma,respectively.These ages mark the Olenekian-Anisian boundary.The zircon grains from the tuff layers have negativeεHf(t)(-15.3 to-0.8),two-stage Hf model(TDM2)ages(1.7 to 2.2 Ga)and display high-δ18O values(mostly>10‰).Clay minerals and quartz dominate the rock composition.The whole rock compositions show that the tuff layers were derived from magma of intermediate to felsic composition,which formed by the remelting of Paleoproterozoic materials of continental crust.The volcanic eruption site is located in the Jinshajiang-Ailaoshan-Song Ma suture zone in the southwestern margin of the Yangtze Block.A combination of the closure of the Paleo-Tethys Ocean Basin and the collision of the Indochina Block and South China contributed to the eruption,which was a supervolcano eruption under the active con-tinental margin arc settings.We speculate that this supervolcano eruption might have contributed to the delayed biotic recovery after the end-Permian mass extinction.

    Investigating environmental quality among G20 nations:The impacts of environmental goods and low-carbon technologies in mitigating environmental degradation

    Ernest Baba AliSamira ShayanmehrRiza RadmehrRichard Bayitse...
    87-99页
    查看更多>>摘要:Environmental goods and low-carbon technologies have long been identified as having the potential to drive long-term economic progress without compromising environmental quality.However,their exact role in mitigating environmental degradation are yet to be unravelled.In addressing this shortfall,the extant literature relied on research funding and patent application as proxies for green technologies.Having established the weaknesses in the use of these variables as proxies for green technologies,this study explored the role of trade in environmental goods and low-carbon technologies in boosting envi-ronmental quality among G20 nation using a panel dataset from 1994 to 2018.The study employed the Method of Moment quantile regression for the model estimation and the Ridge regression,Discroll-Kraay standard error,and the Newey-West standard error estimators to test the robustness of our findings.Our findings indicate that whereas environmental goods promote environmental quality,low-carbon tech-nologies decrease same.Also,the study found economic growth to exert an aggravating effect on environ-mental quality,while foreign direct investments,natural resource rents,human capital development,and renewable energy consumption exert positive influence on environmental quality.Based on the findings of the study,G20 nations are encouraged to improve green market structures to improve the trade in environmental goods and low-carbon technologies.Also the share of renewable energy sources in the overall energy basket must be improved to help improve environmental quality.

    Paleozoic tectonic evolution of the proto-Korean Peninsula along the East Asian continental margin from detrital zircon U-Pb geochronology and Hf isotope geochemistry

    Yirang JangSung Won KimVinod O.SamuelSanghoon Kwon...
    101-121页
    查看更多>>摘要:Detrital zircon geochronology and Hf isotope analysis can be used for inferring provenance characteris-tics,and to evaluate the tectonic evolution of sedimentary basins and their link with regional orogenesis.The Paleozoic sequences of the Okcheon Belt consist of the Lower Paleozoic Joseon and the Upper Paleozoic Pyeongan supergroups with Middle Paleozoic hiatus locally on top of the Neoproterozoic bimo-dal volcanic rocks,reflecting an intracontinental rift setting between the two basements(viz.Gyeonggi and Yeongnam massifs)at southern part of the Korean Peninsula.Our detrital zircon U-Pb ages and Lu-Hf isotope results show that all these Paleozoic strata commonly have Paleoproterozoic and Paleozoic zircon ages with rare Meso-to Neoproterozoic ages.The individual zircon populations display following features,allowing estimation of their sedimentary provenances:(ⅰ)The Paleoproterozoic zircons(ca.1.85 Ga and 2.50 Ga)with similar ranges of εHf(t)values are most common in the basement rocks of the Korean Peninsula,and were sourced from both the Gyeonggi and Yeongnam massifs.(ⅱ)The Meso-to Neoproterozoic zircons,preserved only in the Middle to Late Cambrian clastic sedimen-tary rocks within the carbonate sequences probably reflect proximal provenance.(ⅲ)The youngest Paleozoic zircons of each formation,almost coincident with their deposition ages,suggest presence of syndepositional magmatism,indicating proximal magmatic sources during their deposition.(ⅳ)The Cambrian-Ordovician zircons,from the Lower Paleozoic sequences,but rare in the successive Upper Paleozoic sequences,suggest a provenance change after the hiatus between the two sedimentary successions.(ⅴ)The Permian zircons showing different εHf(t)values indicate that detrital sources were varied at that time.The integrated results in our study suggest provenance variability linked to diverse tectonic environments,reflecting prolonged subduction-related crustal evolution of the proto-Korean Peninsula during the Paleozoic.

    Fe-Mn interdiffusion in aluminosilicate garnets

    Yanjun YinBaohua ZhangXinzhuan Guo
    123-130页
    查看更多>>摘要:Precise determination of cation diffusivity in garnet can provide critical information for quantitatively understanding the timescales and thermodynamics of various geological processes,but very few studies have been performed for Fe-Mn interdiffusion.In this study,Fe-Mn interdiffusion rates in natural single crystals of Mn-bearing garnet with 750 ppm H2O are determined at 6 GPa and 1273-1573 K in a Kawai-type multi-anvil apparatus.Diffusion profiles were acquired by electron microprobe and fitted using Boltzmann-Matano equation.The experimental results show that the Fe-Mn interdiffusion coefficient(DFe-Mn)slightly decreases with increasing XFe.The experimentally determined DFe-Mn in Mn-bearing garnet can be fitted by the Arrhenius equation:DFe_Mn(m2/s)=D0XFenexp(-E*/RT),where E*=(1-XFe)EMn+XFeE*Fe,D0=8.06-6.04+9.87× 10-9 m2/s,EMn=248±27 kj/mol,EFe=226±59 kJ/mol,n=-1.36±0.51.The comparing the present results with previous experimental data suggest that water can greatly enhance the DFe-Mn in garnet.Our results indicate that the time required for homogenization of the compositional zoning of a garnet is much shorter than previously thought.

    Paleo-Mesoarchean sedimentary record in the Dharwar Craton,India:Implications for Archean ocean oxygenation

    G.HarshithaC.ManikyambaM.SantoshCheng-Xue Yang...
    131-159页
    查看更多>>摘要:The early Archean oceans were marked by significant redox changes which have subsequently shaped the Earth's biosphere.Archean chemical sediments of banded Iron and Manganese formations provide impor-tant geochemical proxies for these historical shifts in the redox conditions and to trace the ancient sed-imentation patterns and protoliths.In this study,we investigate the proto-ore of the Archean Mn-formations of the Sandur,Chitradurga and Shimoga greenstone belts of Dharwar Craton of southern Peninsular India,which is geochemically characterised as quartz arenites,Mn-arenites,Fe-arenites,Mn-argillites and Fe-argillites.The geochemical systematics suggest their deposition in shallow to deeper shelf in the Archean proto-ocean.The detrital zircon U-Pb systematics of Mn arenites and argillites indi-cate their maximum depositional age of 3230±52 Ma representing the oldest onset of sedimentation during the Paleo-Mesoarchean timeframe in the Chitradurga Group of Dharwar Supergroup.The detrital influx proxies suggest variations in sedimentation rates associated with the Archean transgressive-regres sive cycles and fluctuating hydrodynamic conditions,together reflecting an increasing trend in the con-tributions of recycled sediment from Sandur to Chitradurga and Shimoga greenstone belts.The available detrital zircon ages of the Mn arenites and argillites from these greenstone belts indicate a~600 Ma pro-longed period of Mn deposition for which high-T hydrothermal fluids from Archean mid-oceanic ridges supplied the manganese.The trace element compositions of the concordant detrital zircons suggest 3.3-3.1 Ga Dharwar basement TTG/granitoid source which is corroborated by the zircon crystallization tem-peratures of 690-820 ℃.The source-normalised ot-dose rates of the detrital zircons signify greater degrees of sediment transport and multi-cycle nature which correspond to the earliest episode of crustal growth in the Indian sub-continent associated with the Mesoarchean Ur supercontinent.The clastic-chemogenic sedimentation attained through concomitant detrital sediment-seawater-metalliferous hydrothermal fluid mixing at an epicontinental passive margin resulted in the deposition of Mn-arenites and argillites closer to the higher Eh shore,while the Fe-rich sediments formed at a relatively deeper shelf characterised by comparatively lower Eh and more alkaline conditions.The comprehensive geochemical and geochronological data of the Archean Mn arenite-argillite sequences reveal the signifi-cance of regional episodes of ocean oxygenation at the shallow shelves of Archean oceans prior to great oxygenation event(GOE)that was mediated by the prolific growth of ancient microbiota which trans-formed the Earth to a more habitable planet.