The significance of different scale copper geochemical anomalies and large ore deposit prediction in the middlelower Yangtze River.

Abstract

Abstract:

Based on the 1∶200000 regional geochemical data of copper element as the foundation in the middlelower Yangtze River, the different scales of geochemical anomaly map can be used for different purposes. （1）The 1∶200000 geochemical anomalies can be used for outlining anomalous target area of a deposit and forecasting large deposits. Twelve of 13 large deposits fell in threetier structure of geochemical anomalies in the study area; the correlation coefficient between the ore reserves of known deposits and areal productivity of geochemical anomalies is 0.94; the correlation coefficient of known deposit reserves and geochemical anomalous areas is 0.95, showing a good correlation between the size of ore reserve and the scale of regional geochemical anomalies. （2）The 1∶500000 geochemical anomalies can be used to delineate anomalous target areas of an orefield, to predict the favorable mining area in a metallogenic belt. （3）The 1∶1000000 geochemical anomalies can be used to delineate a large ore district or a metallogenic belt target for ore district prediction. If we consider an area greater than 1000 km2 including three deposits as an ore district, then, there are three large ore districts in the middlelower Yangtze River: Maanshan Nanjing ore district, Jiujiang Ruichang Daye ore district and Dexing Huangshan Anqing Tongling ore district (actually containing two Dexing and Tongling ore districts). Large deposits often occurred in the areas with multilayered geochemical anomalies, and the geochemical anomaly in a large ore district has at least a 3 layered structure; there exists a corresponding correlation between the concentration centers and the large deposits. The discovery of these laws provides an important geochemical marker for predicting new large ore district in different mineralization areas.

Key words: the middlelower Yangtze River, geochemical anomalies, prediction, copper element

CLC Number:

P595

XU Shan-Fa, WANG Wei. The significance of different scale copper geochemical anomalies and large ore deposit prediction in the middlelower Yangtze River.[J]. Earth Science Frontiers, 2012, 19(3): 84-92.

[1]	CHEN Yun-Tai. From SumatraAndaman to Tohoku, Japan: Lessons from the great earthquakes and the earthquakegenerated megatsunamis. [J]. Earth Science Frontiers, 20140101, 21(1): 120-131.
[2]	ZHANG Mengqi, SUN Jianqi, GAO Yongqi. Possible influence and predictive value of preceding winter sea ice anomalies in the Davis Strait-Baffin Bay for spring extreme precipitation frequency in eastern China [J]. Earth Science Frontiers, 2022, 29(5): 401-409.
[3]	HU Yiming, CHEN Teng, LUO Xuyi, TANG Chao, LIANG Zhongmin. Medium to long term runoff forecast for the Huai River Basin based on machine learning algorithm [J]. Earth Science Frontiers, 2022, 29(3): 284-291.
[4]	REN Ruijun, MIAO Yongkang, WANG Yanguang. Seismic identification and attribute prediction of polyhalite in the 4th and 5th members of the Jialingjiang Formation in Northeast Sichuan [J]. Earth Science Frontiers, 2021, 28(6): 125-133.
[5]	ZENG Zuoxun, CHEN Zhigeng, LU Chengdong, YANG Yu, CHEN Kangli, XIANG Shimin, DAI Qingqin, ZHANG Jun, DENG Yanting, FU Yan, DU Qiujiao, LIU Lilin, YANG Weiran. Earth system science research on earthquake mechanisms: Theory and validation of a new model [J]. Earth Science Frontiers, 2021, 28(6): 263-282.
[6]	CHEN Ningsheng, TIAN Shufeng, ZHANG Yong, WANG Zheng. Soil mass domination in debris-flow disasters and strategy for hazard mitigation [J]. Earth Science Frontiers, 2021, 28(4): 337-348.
[7]	ZUO Renguang. Data science-based theory and method of quantitative prediction of mineral resources [J]. Earth Science Frontiers, 2021, 28(3): 49-55.
[8]	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.
[9]	ZHOU Yongzhang, ZHANG Qianlong, HUANG Yongjian, YANG Wei, XIAO Fan, JI Junjie, HAN Feng, TANG Lei, OUYANG Chong, SHEN Wenjie. Constructing knowledge graph for the porphyry copper deposit in the Qingzhou-Hangzhou Bay area: Insight into knowledge graph based mineral resource prediction and evaluation [J]. Earth Science Frontiers, 2021, 28(3): 67-75.
[10]	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.
[11]	ZHU Xu, YANG Rong, CHEN Yongqing, WANG Lianyue, LI Gang. Primary halo zonation in and a deep orebody prediction model for the inner-outer contact zone of the Laochang Sn-Cu deposit in Gejiu [J]. Earth Science Frontiers, 2021, 28(3): 112-127.
[12]	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.
[13]	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.
[14]	JIA Ran, WANG Haoran, WANG Gongwen, WANG Hao, XU Rongda, FENG Zhankui, SONG Yaowu, WANG Xiaoling, PANG Zong. Three-dimensional geological modeling and deep prospectivity of the Xigou Pb-Zn-Ag-Au deposit, Henan Province [J]. Earth Science Frontiers, 2021, 28(3): 156-169.
[15]	LI Nan, CAO Rui, YE Huishou, LI Qiang, WANG Yitian, LÜ Xiping, GUO Na, SU Yuanxiang, HAO Jianrui, XIAO Yang, ZHANG Shuai, CHU Wenkai. Three-dimensional modeling and comprehensive quantitative mineral resources assessment: A case study of the Haoyaoerhudong gold deposit in Inner Mongolia [J]. Earth Science Frontiers, 2021, 28(3): 170-189.

The significance of different scale copper geochemical anomalies and large ore deposit prediction in the middlelower Yangtze River.

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments