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中国磷矿资源预测模型及找矿远景分析
引用本文:王莹,熊先孝,东野脉兴,李代荣,屈云燕,刘秋颖,霍延安.中国磷矿资源预测模型及找矿远景分析[J].中国地质,2022,49(2):435-454.
作者姓名:王莹  熊先孝  东野脉兴  李代荣  屈云燕  刘秋颖  霍延安
作者单位:1. 中化地质矿山总局化工地质调查总院;2. 中国地质大学(北京)地球科学与资源学院;3. 中化地质矿山总局地质研究院
基金项目:中国地质调查局地质调查项目(DD20160346)资助~~;
摘    要:研究目的]磷矿是具有战略意义的矿产资源,2014年至今,中国地质调查局组织编写的中国矿产地质志,全面描述了中国磷矿全貌及重要成矿规律,加强了对全国磷矿矿情的掌握.本文依托中国矿产地质志项目,系统总结了中国磷矿时空分布特征,圈定了磷矿找矿远景区和磷矿重点勘查区,对未来磷矿找矿工作有一定的参考价值.研究方法]本文选取了...

关 键 词:磷矿  预测模型  成矿规律  找矿远景  矿产调查工程
收稿时间:2021/9/10 0:00:00
修稿时间:2022/3/11 0:00:00

Prediction model and exploration prospect analysis of phosphate mineral resources in China
WANG Ying,XIONG Xianxiao,DONGYE Maixing,LI Dairong,QU Yunyan,LIU Qiuying,HUO Yan''an.Prediction model and exploration prospect analysis of phosphate mineral resources in China[J].Chinese Geology,2022,49(2):435-454.
Authors:WANG Ying  XIONG Xianxiao  DONGYE Maixing  LI Dairong  QU Yunyan  LIU Qiuying  HUO Yan'an
Institution:General Institute of Chemical Geology Survey of CCGMB, Beijing 100101, China;School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Geology Institute of China Chemical Geology and Mine Bureau, Beijing 100101, China
Abstract:This paper is the result of mineral exploration engineering.Objective]Phosphate deposit is a strategic mineral resource since 2014, the compilation of Annals of Geology of Mineral Resources of China has been organized by China Geological Survey, which is comprehensively described the overall picture of phosphate in China and important metallogenic regularities, and strengthened the grasp of phosphate situation in China. Based on the project of Annals of Geology of Mineral Resources of China, this paper systematically summarizes the spatial and temporal distribution characteristics of phosphate ore at the national level, and delineates the potential areas and key exploration areas of phosphate, which has certain reference value for phosphate ore exploration in China in the future.Methods]The metallogenic conditions and metallogenic models of sedimentary, magmatic and metamorphic phosphate deposits are summarized and studied respectively, and the prediction models of typical deposits are established. According to the prediction model and the forecast resources scale (5000×104 t or more), the phosphate deposit is divided into three types of metallogenic prediction areas.Results]Up to now, there are 1,040 phosphate production areas in China (the identified resource reserves are 231.07×108 t) and distributed in 30 provinces (municipalities, autonomous regions). According to the ore-forming rules of phosphate in China, phosphate in China can be divided into 27 Grade III metallogenic belts, 4 ore-forming sub-zones and 21 ore-concentrated areas. 12 important metallogenic prediction areas of phosphate deposit in China are determined, with the total predicted potential resources up to 300.1×108t. According to the prediction results of phosphate ore mineralization, 27 potential areas for phosphate exploration have been delineated in China. According to the exploration prospect of phosphate, combined with metallogenic geological conditions, deposit geological characteristics, ore dressing and smelting performance, and reliable degree of resources, 19 key exploration areas of phosphate ore were delineated, with the predicted resources of 236.83×108 t, and the exploration work can be arranged in priority.Conclusions]In the future, the exploration of phosphate ore in China should be focused on northeast Yunnan Province, southwest Sichuan Province, Kaiyang of Guizhou Province, Shennongjia of Hubei Province, Chengde of Hebei Province, Kuruktag and other areas in Xinjiang, with a great prospect of exploration.Highlights: The metallogenic conditions and metallogenic models of sedimentary type, magmatic type and metamorphic phosphate ore are summarized and studied respectively, the typical deposit prediction model is established, and the important metallogenic prediction area of phosphate deposit in China is determined, which has certain reference value for phosphate exploration in China in the future.
Keywords:phosphate deposit  prediction model  metallogenic regularity  exploration prospect  mineral exploration engineering
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