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Reconstructing Protolith Compositions of the Orthoamphibole Rocks from Wutai-Hengshan Area of the North China Craton by combining Machine Learning and Geochemical Fingerprints
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Jintang ZUO1, Qiugen LI1, 2, *, Shuwen LIU1, Xiao HUANG1, Xiaoyu WANG1, 3
Northwestern Geology | 2026, 59(4) : 63 - 84
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Northwestern Geology | 2026, 59(4): 63-84
Reconstructing Protolith Compositions of the Orthoamphibole Rocks from Wutai-Hengshan Area of the North China Craton by combining Machine Learning and Geochemical Fingerprints
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Jintang ZUO1, Qiugen LI1, 2, *, Shuwen LIU1, Xiao HUANG1, Xiaoyu WANG1, 3
Affiliations
  • 1Key Laboratory of Orogenic Belts and Crustal Evolution, Ministry of Education, School of Earth and Space Sciences, Peking University, Beijing 100081, China
  • 2State Key Laboratory for Critical Mineral Research and Exploration, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081,Guizhou, China
  • 3Department of Chemistry, University of California, Berkeley CA 94720, USA
Published: 2026-08-20 doi: 10.12401/j.nwg.2025173
Outline
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The orthoamphibole rocks exposed in the Hengshan-Wutai area are characterized by a distinctive mineral assemblages (anthophyllite + garnet) and unique geochemical signatures (enriched in Fe, Mg and Al, depleted in Ca and alkalis). However, their protolith and petrogenesis remain a subject of long-standing debate due to the perturbed effects of subsequent metamorphism and tectonic deformation. In this study, we conducted a systematic investigation of these rocks by integrating detailed field surveys and petrographic observations with machine learning algorithms and geochemical fingerprints. For the machine learning techniques, we constructed a geochemical database comprising Archean basalts and pelitic rocks and designed a Random Forest classification model by training classifers with the geochemical compositional database. Combined with Isocon mass balance analysis, which should be possible to formulate the relationships between immobile and potentially mobile elements, the trained classifers enable to classify the orthoamphibole rocks exhibiting a strong genetic affinity with the Archean basalts. Moreover, their rare earth element (REE) patterns and elevated Co and Sc concentrations are consistent with those of Archean basalts and distinct from typical pelitic rocks. Isocon mass balance analysis indicates that the protoliths underwent a net mass loss of approximately 26%, accompanied by intense leaching of mobile components such as Ca and Na. Notably, the decoupling of Zr–Hf, the anomalous enrichment of Th, and the scattered distribution of Zn suggest that the precursors underwent mechanical sorting during sedimentation. Additionally, zircon U–Pb dating yielded a primary detrital age peak at ~2520 Ma, suggesting a uniform provenance derived mainly from local ~2.52 Ga magmatic rocks. Metamorphic zircon ages cluster around 1.92 Ga, recording a Paleoproterozoic collision event in the North China Craton. Consequently, we propose that the protoliths of the Hengshan anthophyllite rocks was a mafic-rich sedimentary rock derived from Archean basaltic sources. These rocks formed through chemical weathering of the basaltic source, followed by depositional processes and subsequent amphibolite-facies metamorphism at ~1.92 Ga.

geochemistry  /  orthoamphibole rocks  /  machine learning  /  zircon U–Pb age  /  protolith reconstruction  /  North China Craton
左锦堂, 李秋根, 刘树文, 黄萧, 王筱煜. 运用机器学习与地球化学指纹相结合的方法恢复山西五台–恒山地区直闪岩的原岩. 西北地质, 2026 , 59 (4) : 63 -84 . DOI: 10.12401/j.nwg.2025173
Jintang ZUO, Qiugen LI, Shuwen LIU, Xiao HUANG, Xiaoyu WANG. Reconstructing Protolith Compositions of the Orthoamphibole Rocks from Wutai-Hengshan Area of the North China Craton by combining Machine Learning and Geochemical Fingerprints[J]. Northwestern Geology, 2026 , 59 (4) : 63 -84 . DOI: 10.12401/j.nwg.2025173
Year 2026 volume 59 Issue 4
160
76
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Article Info
doi: 10.12401/j.nwg.2025173
  • Receive Date:2026-02-09
  • Online Date:2026-09-16
  • Published:2026-08-20
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History
  • Received:2026-02-09
  • Revised:2026-03-10
  • Accepted:2026-03-13
Affiliations
    1Key Laboratory of Orogenic Belts and Crustal Evolution, Ministry of Education, School of Earth and Space Sciences, Peking University, Beijing 100081, China
    2State Key Laboratory for Critical Mineral Research and Exploration, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081,Guizhou, China
    3Department of Chemistry, University of California, Berkeley CA 94720, USA
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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