[1] |
FENG Jun, ZHANG Qi, LUO Jianmin.
Deeply mining the intrinsic value of geodata to improve the accuracy of predicting by quantitatively optimizing method for prospecting target areas
[J]. Earth Science Frontiers, 2022, 29(4): 403-411.
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[2] |
MA Chang, GE Jiawang, ZHAO Xiaoming, LIAO Jin, YAO Zhe, ZHU Jitian, FANG Xiaoyu, XIANG Zhu.
Quaternary Qiongdongnan Basin in South China Sea: Shelf-edge trajectory migration and deep-water depositional models
[J]. Earth Science Frontiers, 2022, 29(4): 55-72.
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[3] |
ZHAO Pengda, CHEN Yongqing.
Digital geology and quantitative mineral exploration
[J]. Earth Science Frontiers, 2021, 28(3): 1-5.
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[4] |
CHEN Yongqing, MO Xuanxue.
Metallogenic background, process and exploration as one: A trinity concept for prospecting for super-large ore deposits
[J]. Earth Science Frontiers, 2021, 28(3): 26-48.
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[5] |
ZUO Renguang.
Data science-based theory and method of quantitative prediction of mineral resources
[J]. Earth Science Frontiers, 2021, 28(3): 49-55.
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[6] |
XIA Qinglin, ZHAO Mengyu, WANG Xiaochen, LENG Shuai, LI Tongfei, XIONG Shuangcai.
Quantitative prediction of molybdenum-copper polymetallic mineral resources in the Xindalai grassland-covered area of Inner Mongolia based on geological anomalies
[J]. Earth Science Frontiers, 2021, 28(3): 56-66.
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[7] |
AN Wentong, CHEN Jianping, ZHU Pengfei.
A two-way forecasting method based on numerical simulation of mineralization process for the prediction of concealed ore deposits
[J]. Earth Science Frontiers, 2021, 28(3): 97-111.
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[8] |
KONG Weihao, XIAO Keyan, CHEN Jianping, SUN Li, LI Nan.
A combined prediction method for reducing prediction uncertainty in the quantitative mineral resources prediction
[J]. Earth Science Frontiers, 2021, 28(3): 128-138.
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[9] |
WANG Gongwen, ZHANG Shouting, YAN Changhai, PANG Zhenshan, WANG Hongwei, FENG Zhankui, DONG Hong, CHENG Hongtao, HE Yaqing, LI Ruixi, ZHANG Zhiqiang, HUANG Leilei, GUO Nana.
Resource-environmental joint forecasting in the Luanchuan mining district, China through big data mining and 3D/4D modeling
[J]. Earth Science Frontiers, 2021, 28(3): 139-155.
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[10] |
ZHANG Zili, ZHU Xiaomin, LIAO Fengying, LI Qi, ZHANG Ruifeng, CAO Lanzhu, SHI Ruisheng.
Features and control factors of gentle-sloped fluvial sandbodies in rift basins: An example from the Wen’an Slope, Baxian Sag
[J]. Earth Science Frontiers, 2021, 28(1): 141-154.
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[11] |
YANG Zongfeng, LI Jie, JIANG Xiaojie, QU Linyu, YUAN Ye, LI Yingying, PENG Huizhong, RAO Tong, MA Ben, XU Zhihao.
Two dimensional quantitative textural analysis method for igneous rock
[J]. Earth Science Frontiers, 2020, 27(5): 23-38.
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[12] |
WANG Wei,CAI Yuna,LIU Jie.
Quantitative analysis of 3D microtomographic data of rocks and its applications in geosciences
[J]. Earth Science Frontiers, 2019, 26(4): 55-66.
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[13] |
MAO Xiancheng,WANG Mijun,LIU Zhankun,CHEN Jin,DENG Hao.
Quantitative analysis of ore-controlling factors based on exploration data of the Dayingezhuang gold deposit in the Jiaodong Peninsula
[J]. Earth Science Frontiers, 2019, 26(4): 84-93.
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[14] |
CHENG Gong,ZHONG Chaoling,YUAN Haiming,REN Ming,XU Wenwen,WANG Dongjun.
Quantitative remote sensing modeling and inversion of laterite type bauxite based on sample data
[J]. Earth Science Frontiers, 2019, 26(4): 109-116.
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[15] |
LUO Jianmin,WANG Xiaowei,ZHANG Qi,SONG Bingtian,YANG Zhongming,ZHAO Yanqing.
Application of geological big data to quantitative target area optimization for regional mineral prospecting in China
[J]. Earth Science Frontiers, 2019, 26(4): 76-83.
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