Acta Geochimica最新文献

{"title":"A petrogenetic model for the origin of migmatites in the Assam-Meghalaya Gneissic Complex, Northeast India: Constraints from mineralogy with special reference to magnetite","authors":"Bibhuti Gogoi,&nbsp;Pallabi Basumatary","doi":"10.1007/s11631-025-00820-8","DOIUrl":"10.1007/s11631-025-00820-8","url":null,"abstract":"<div><p>The current work is dedicated to studying the occurrence of fine- to coarse-grained magnetite crystals in migmatites of Chandrapur area located in Guwahati, along the northern fringe of the Assam-Meghalaya Gneissic Complex, Northeast India. The objective of this contribution is to present a novel approach demonstrating the origin of magnetite in the migmatites of our study area. Field investigations reveal that the gneissic rocks within the study area are penetrated by numerous pegmatitic veins of varying sizes. The late Pan-African tectonothermal event is deemed responsible for the pegmatitic intrusions in the study area. The pressure-temperature (P-T) conditions estimated from the migmatites revealed that fluid-present partial melting of the thermally elevated gneissic rocks during the tectonothermal episode was driven by the intrusion of volatile-laden pegmatitic melts. Subsequently, the partially molten rocks mingled with the K-rich pegmatitic magma, resulting in a mixed rock now preserved as neosome. Petrographic examinations reveal that the neosome displayed different degrees of hybridization, as indicated by the extent of amphibole-biotite transformation. Higher degrees of hybridization led to more extensive replacement of amphibole by biotite. The neosomes are also characterized by fine- to coarse-grained magnetite crystals. Based on the findings of this work, we infer that the transfer of K₂O from the pegmatite magma to the partially molten rocks or neosome assisted in the breakdown of amphibole to biotite. The replacement reaction of amphibole to biotite led to the liberation of FeO, which was subsequently converted into magnetite (Fe₃O₄) in the prevailing oxidizing conditions. The presence of magnetite in the neosome reflects the dominance of an oxidizing environment during magma interaction and evolution.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 3","pages":"789 - 801"},"PeriodicalIF":1.3,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"44 6","pages":"1340 - 1351"},"PeriodicalIF":1.3,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145646273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Provenance, tectonic setting and paleoenvironment of the Tura Sandstone Formation, Northeast India: An integrated approach","authors":"Pradip Borgohain,&nbsp;Devojit Bezbaruah,&nbsp;Yadav Krishna Gogoi,&nbsp;Anurag Bharadwaj,&nbsp;Bishal Singh,&nbsp;Garima Konwar,&nbsp;Dipankar Saikia,&nbsp;Mondip Sarma,&nbsp;Bubul Bharali","doi":"10.1007/s11631-025-00812-8","DOIUrl":"10.1007/s11631-025-00812-8","url":null,"abstract":"<div><p>The Upper Paleocene–Lower Eocene Tura Formation, encountered in most oil wells of the Upper Assam Shelf, India, rests non-conformably over the Precambrian granitic basement. Its type section is well exposed in the West Garo Hills of Meghalaya, India. Petrographic and geochemical analyses of the sandstones have been employed to determine their provenance, tectonic setting, and prevailing paleoenvironmental conditions. The Tura sandstones are mainly classified as quartz arenite, sublitharenite, and some subarkosic types. Geochemical data, including trace elements and rare earth elements (REEs), indicate that the sandstones were predominantly derived from felsic sources. Tectonic discrimination diagrams suggest that the sandstones were deposited in an active margin setting. The sandstones were derived from source areas that experienced semi-humid to humid climatic conditions with moderate to intense degrees of chemical weathering, as indicated by paleoweathering indices such as the Chemical Index of Alteration (CIA: 79.10), Chemical Index of Weathering (CIW: 84.20), and Index of Compositional Variability (ICV: 7.67).</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 2","pages":"402 - 421"},"PeriodicalIF":1.3,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147735038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of high gas content and restoration of in situ gas content in Permian Wujiaping shale of the eastern Sichuan Basin, China","authors":"Linchi Jiang,&nbsp;Jungang Lu,&nbsp;Benjian Zhang,&nbsp;Luchuan Zhang,&nbsp;Xiangdong Yin,&nbsp;Xiao Chen,&nbsp;Haofei Sun,&nbsp;Chang Xu,&nbsp;Lexin Yuan,&nbsp;Yibo Li,&nbsp;Xingcheng Zhu","doi":"10.1007/s11631-025-00818-2","DOIUrl":"10.1007/s11631-025-00818-2","url":null,"abstract":"<div><p>The Permian Wujiaping Formation (P₃<i>w</i>) shale in eastern Sichuan Basin exhibits high gas content. Through total organic carbon (TOC) content determination, mineral composition analysis, N₂/CO₂ adsorption, high-pressure methane adsorption, and scanning electron microscopy experiments, we identified determinants of the high gas content and restored <i>in-situ</i> gas content. Findings demonstrate that the supercritical Dubinin–Astakhov (S-DA) model (based on micropore-filling theory) represents the optimal approach for accurately restoring the absolute adsorption amount of the third member of P₃<i>w</i> (P₃<i>w</i>³) shale within the study region compared to the supercritical Langmuir (S-L) model (based on monolayer adsorption theory) widely used in the assessment of gas content of the Wufeng–Longmaxi shale. The P₃<i>w</i>³ and Wufeng–Longmaxi shales have similar adsorption capacities at equivalent TOC levels, with the high adsorbed gas content of P₃<i>w</i>³ attributed to the development of rich organic shale (with a TOC content of 7.68%) in the anoxic reduction environment of the deep marine shelf facies. The high free gas content is due to the abundant siliceous minerals that play an anti-compaction and pore-preservation effect during the diagenesis, forming rich pore spaces (porosity of 6.05%). Under the influence of formation temperature and pressure, the <i>in-situ</i> gas content of P₃<i>w</i>³ shale reservoir gradually increases with burial depth. The P₃<i>w</i>³ shale gas reservoir with a burial depth of 4300–4400 m mainly exists in the free state, with the ratio of free gas to adsorbed gas approximately 7:3.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 2","pages":"439 - 456"},"PeriodicalIF":1.3,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147734885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial evolution and driving factors of surface water chemistry in the Duliujiang River Basin, Southwest China","authors":"Zhiyong He,&nbsp;Hang Li,&nbsp;Zengping Ning,&nbsp;Jinshuai Fu,&nbsp;Yanqiong Luo,&nbsp;Qianchen Liu,&nbsp;Wenjia Lu,&nbsp;Yizhang Liu,&nbsp;Jing Sun,&nbsp;Chengshuai Liu","doi":"10.1007/s11631-025-00817-3","DOIUrl":"10.1007/s11631-025-00817-3","url":null,"abstract":"<div><p>It is crucial to grasp the spatial evolution characteristics of water chemistry and to quantify the contribution rate of different factors for the precision management and secure utilization of water resources in the basin. In this study, river water samples were systematically collected from the Duliujiang River Basin, the concentrations of anions and cations were measured, and the spatial evolution characteristics and ion sources of the watershed were studied by using hydrochemical diagrams, multivariate mathematical statistics, and the absolute factor analysis–multiple linear regression receptor model (APCS-MLR), and the contribution rate of different sources to the hydrochemical components of the basin was quantified. The results indicate generally weakly alkaline water throughout the Duliujiang River Basin. While hydrochemical types exhibit spatial variability, the Ca–HCO₃ type predominates. The chemical composition of river water in the Duliujiang River Basin is governed by rock weathering, cation alternating adsorption, mineral dissolution/precipitation, and anthropogenic influences, and the APCS-MLR model results show that mining wastewater discharge, rock and mineral dissolution, industrial activities, agricultural activities, and unidentified sources (inferred as groundwater recharge) are the main sources of river solutes. The contribution rates of municipal factors, mining factors, agricultural factors, geological factors, and unidentified factors to the river water were 16%, 28%, 19%, 23%, and 14%, respectively, while the total contribution rate of anthropogenic factors (including municipal factors, mining factors, and agricultural factors) exceeded that of natural factors, reaching 58%, and have become the principal driving factors of hydrochemical evolution in the Duliujiang River Basin.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 2","pages":"314 - 330"},"PeriodicalIF":1.3,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147734890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neoproterozoic granitoid-hosted quartz-magnetite mega veins at Mayo Binka, western Cameroon: Field disposition and petrochemical characteristics","authors":"Samndong Cyril Tufoin,&nbsp;George Lemewihbwen Ngiamte,&nbsp;Cheo Emmanuel Suh,&nbsp;Sirri Sarah Mbouni,&nbsp;Akumbom Vishiti","doi":"10.1007/s11631-025-00808-4","DOIUrl":"10.1007/s11631-025-00808-4","url":null,"abstract":"<div><p>Enigmatic shear zone-related mega quartz-magnetite veins, hosted by Neoproterozoic granitoids of the Central African Fold Belt (CAFB) in Mayo Binka, western Cameroon, are investigated using new field, ore microscopy, bulk-rock geochemistry, and magnetite microchemical datasets to elucidate their origin and deposit type. Magnetite is paragenetically the earliest Fe-oxide phase in the Mayo Binka prospect. Its partial replacement by mechanically twinned specular hematite and martite, along with ilmenite exsolution textures, indicates hydrothermal processes. The magnetite ores are characterized by high Fe₂O₃ (~81 wt%) and low SiO₂ (~15.7 wt%), Al₂O₃ (~0.48 wt%), TiO₂ (~0.01 wt%), and P₂O₅ (~0.03 wt%) contents. The rare earth element (REE) signature, marked by low ΣREE content (~12.62 ppm), enrichment in LREE (La/Yb_CN ~4.16) over HREE (Gd/Yb_CN ~1.48), a slight negative Eu anomaly (~0.97), and a strong negative La anomaly (~0.52), suggests elevated-temperature, igneous origin for the magnetite deposits rather than sedimentary. Magnetite microchemistry reveals high concentrations of Ti (~16 wt%), V (~3881 ppm), Al (~12,031 ppm), Mn (~3058 ppm), and Ga (~39 ppm), indicating magmatic crystallization under low oxygen fugacity (<i>f</i>O₂) in contrast to the hydrothermal signatures shown by petrographic observations. Trace element-based discrimination diagrams classify the Mayo Binka prospect as an Fe–Ti–V magmatic magnetite deposit. Field association with granitoids, fault rocks, and metavocanosedimentary rocks (schist, amphibolite, gneiss, and quartzite), coupled with petrographic, mineralogical, and geochemical datasets, suggests that the Mayo Binka massive ferriferous veins likely formed in a complex geodynamic continental back-arc setting, where magmatic sedimentary and tectonic processes controlled the localization and evolution of the mineralization.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 3","pages":"576 - 595"},"PeriodicalIF":1.3,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sources and transportation of mining metals to soil: A case study from the Lala mining area, Southwest China","authors":"Fang Yang,&nbsp;Lei Xu,&nbsp;Liang Tang,&nbsp;Li Dai,&nbsp;Xuemin Liu,&nbsp;Tim T. Werner,&nbsp;Lingfei Qu,&nbsp;Xuefeng Liao,&nbsp;Yang Li,&nbsp;Junbo Wang","doi":"10.1007/s11631-025-00810-w","DOIUrl":"10.1007/s11631-025-00810-w","url":null,"abstract":"<div><p>Soil contamination with toxic metals from mining activities poses a risk to ecological security and human well-being, but research on their transport mechanisms is inadequate. Addressing this, this study combines the PCA-APCS-MLR model, hydrological and soil profile analyses, and geographic detector techniques within the Lala mining area, Sichuan Province, China, to explore the connection between soil metal enrichment and mining activities and to assess soil contamination. We identified three primary sources of metals in soils: geogenic background, mining activities, and industrial emissions. Mining activities are the primary source for Mn (13.6%), Cu (33.9%), Mo (69.1%), and As (40.0%) in soil, while industrial inputs contribute to Pb (63.8%), Zn (67.4%), and Cd (83.6%). Meanwhile, dry and wet deposition drove the dispersal mode of mine metals to the soil in the study area. Specifically, coarse mine wastes primarily settle around the mine sites, whereas fine particulates are carried northward by prevailing southwest winds, leading to northward and long-range transport. Our findings are important for assessing the mining industry’s footprint in arid environments.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 2","pages":"298 - 313"},"PeriodicalIF":1.3,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147734889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal delineation of iron ore-finding target areas in the Beishan Region, Gansu Province, China, based on multi-source data mining technology","authors":"Lihui Zhu,&nbsp;Runsheng Han,&nbsp;Hao Fu,&nbsp;Jianmin Luo,&nbsp;Yunzhi Luo","doi":"10.1007/s11631-025-00813-7","DOIUrl":"10.1007/s11631-025-00813-7","url":null,"abstract":"<div><p>The effectiveness of geological prospecting depends on the accuracy of prediction of target areas. Compared to traditional qualitative methods, the application of big data concepts and methods to conduct in-depth analyses of the potential value of geological information has proven to be an effective way to improve the accuracy of prospecting target area predictions. The Beishan region of Gansu Province, China, is a prominent polymetallic metallogenic belt in northwest China. In recent years, geologists have encountered challenges in achieving effective breakthroughs in prospecting through conventional methods. In this study, we employ the concepts and methodologies of big data. The research subject encompasses the geochemical and aeromagnetic data from the Beishan region of Gansu Province, where a suite of proprietary software is employed to rectify errors in the initial data set. On this basis, an iron ore prospecting model based on multi-source data information mining has been established. The model has delineated 100 Level I and II preferred target areas with mineral prospecting significance and has constrained these areas to 3.24% of the study area. Following field sampling and verification, the actual mineralization rate of the 38 Level I target areas was determined to be 50%. These results demonstrate the effectiveness of the method proposed in this paper in improving the prediction accuracy of iron ore target areas.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 5","pages":"1461 - 1474"},"PeriodicalIF":1.4,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field and geochemical characteristics of the southwestern part of Sendra Ambaji Granitoid Belt, Rajasthan, India: Implication on its petro-tectonic evolution","authors":"Akanksha Joshi,&nbsp;C. Aditya,&nbsp;Divya Prakash,&nbsp;Shubhabrata Mukhopadhyay","doi":"10.1007/s11631-025-00811-9","DOIUrl":"10.1007/s11631-025-00811-9","url":null,"abstract":"<div><p>Neoproterozoic Sendra Ambaji Granitoid forms a NE–SW trending, ~360-km-long belt of intruding Mesoproterozoic metasedimentary rocks of the Delhi Supergroup along the Phulad Shear Zone in the South Delhi Fold Belt, northwest India. All work previously carried out on this granitoid is concentrated in the northern part of the belt, leading to difficulties in defining its petrogenesis and tectonic setting. To fill these knowledge gaps, a 350-km² area has been mapped in the southern extent of the belt between Sayra and Dhanbari. Field characteristics such as contact relationship, structure and geochemical characteristics are considered. Field studies show the presence of multiple cogenetic gneissose and non-gneissose but crudely foliated granitoid variants, which have been mapped separately. Three phases of ductile deformation and two phases of metamorphism in amphibolite facies akin to Phulad Ophiolite Suite are observed in all the granitoid variants. Refolding of gniessosity with the second deformation is observed in the granitoids and the Phulad Ophiolite Suite. Geochemical studies indicate that these granitoids are metaluminous to peraluminous, magnesian to ferroan, high K-alkaline fractionated I-type granitoids. Their composition is governed by partial melting of metasedimentary and mafic rocks of the continental crust at high temperature and subsequent fractionation, which has led to overlapping of S- and A-type granites on the I-type Sendra Ambaji Granitoid. The granitoids plot in both orogenic and post-collisional or within-plate fields. These signatures corroborate the inferences reached during field work, suggesting that Sendra Ambaji Granitoids were emplaced during the waning phases of orogeny in a subduction-related Andean-type continental arc setting. However, the emplacement of the granitoids continued post-orogeny. This collisional event is correlated with the amalgamation of the Rhodinia supercontinent.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"45 3","pages":"617 - 638"},"PeriodicalIF":1.3,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Jalilabad copper deposit in the Tarom-Hashjin magmatic belt, NW Iran:Epithermal or porphyry deposit? Evidence from geology, alteration, geochemistry, fluid inclusions, and stable isotope studies","authors":"Mohammadreza Hosseinzadeh,&nbsp;Ali Asadi,&nbsp;Vartan Simmonds,&nbsp;Matthew I. Leybourne,&nbsp;Mohsen Moayyed,&nbsp;Yalda Vahed","doi":"10.1007/s11631-025-00806-6","DOIUrl":"10.1007/s11631-025-00806-6","url":null,"abstract":"<div><p>The Jalilabad Cu (± Au) deposit lies in the central section of the Tarom-Hashjin Metallogenic Belt, in northern Zanjan Province, NW Iran. Mineralization predominantly occurs within quartz-sulfide veins, veinlets, and breccia zones, primarily hosted by the Eocene volcanic and volcaniclastic units of the Karaj Formation. The mineralization trends NW–SE and is influenced by several strike-slip faults. Chalcopyrite and bornite are the principal hypogene sulfides, with chalcocite and covellite representing the supergene stage. The post-ore stage is characterized by brecciated calcite and quartz. Geochemical analyses show that the monzonite intrusion contains SiO₂ levels ranging from 69.80 to 70.24 wt.%, K₂O+Na₂O values between 8.10 and 8.15 wt.%, and K₂O/Na₂O ratios of 1.36 to 1.61. The intrusion is enriched in light rare earth elements (LREEs) and large-ion lithophile elements (LILEs) while being depleted in high-field-strength elements (HFSEs). A low Hf/Sm ratio indicates an orogenic-related magma, and a low Nb/La ratio points to a depleted mantle source. Microthermometric studies of three quartz types reveal moderate to high formation temperatures (195.4–322.7 °C) and salinities ranging from 8.10 to 11.82 wt.% NaCl_equiv. Oxygen isotope data (<i>δ</i>¹⁸O_H2OO) range from +4.8‰ to +8.1‰, suggesting a magmatic origin for the ore-forming fluids, later diluted by meteoric water. Sulfur isotope values (<i>δ</i>³⁴S_H2S) between −6.0‰ and −9.1‰ confirm a magmatic source. Fluid mixing and dilution are identified as the primary mechanisms for ore precipitation. Raman spectroscopy enables nondestructive identification of minerals through their unique vibrational peaks. Chalcopyrite (213, 280, 1304 cm⁻¹), hematite (214, 282, 469, 689, 1309 cm⁻¹), goethite (967 cm⁻¹), and quartz (125, 198, 458 cm⁻¹) show distinct spectral fingerprints indicating mineral differentiation, alteration tracking, and structural analysis in geological studies. Based on its geological context, the Jalilabad Cu (± Au) deposit is interpreted as resembling a high-sulfidation epithermal deposit.</p></div>","PeriodicalId":7151,"journal":{"name":"Acta Geochimica","volume":"44 6","pages":"1186 - 1213"},"PeriodicalIF":1.3,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145646347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}