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中国北方磷矿成矿预测
引用本文:熊先孝,李博昀,姚超美,东野脉兴,吴颖慧,伍光峰.中国北方磷矿成矿预测[J].化工矿产地质,2007,29(3):150-158.
作者姓名:熊先孝  李博昀  姚超美  东野脉兴  吴颖慧  伍光峰
作者单位:中化地质矿山总局地质研究院,河北涿州,072754
基金项目:中化地质矿山总局项目《中国北方磷矿成矿预测》之部分内容
摘    要:在中朝准地台、塔里木准地台边缘深断裂附近和台中隆起带以及天山-兴安、祁连-秦岭、额尔古纳几个地槽褶皱区的中间地带,不同程度地具备中国北方三种主要类型磷矿的成矿条件。研究分析认为中国北方的内生磷矿具有良好的找矿前景,绿岩带型磷矿和古元古代沉积变质磷矿显示一定的找矿潜力,沉积型磷矿一般品位低、规模小。通过归纳,在中国北方划分出磷矿的二级城矿区4个、三级成矿带15个、四级成矿亚带19个。圈定成矿预测区A级2个,B级C级各23个。确定了21处可开展进一步工作的地区。

关 键 词:北方磷矿  成矿背景  成矿条件  成矿预测  资源潜力
文章编号:1006-5296(2007)03-0150-09
修稿时间:2007-05-15

METALLOGENIC PREDICTION OF PHOSPHORITE RESOURCE IN THE NORTH CHINA
Xiong Xianxiao,Li Boyun,Yao Chaomei,Dongye Maixing,Wu Yinghui,Wu Guangfeng.METALLOGENIC PREDICTION OF PHOSPHORITE RESOURCE IN THE NORTH CHINA[J].Geology of Chemical Minerals,2007,29(3):150-158.
Authors:Xiong Xianxiao  Li Boyun  Yao Chaomei  Dongye Maixing  Wu Yinghui  Wu Guangfeng
Institution:Geological Institute of Bureau and Mining of China Chemical Idusty, Zhuozhou, Hebei, 072754, China
Abstract:It has the ore-forming conditions for the main type phosphorite deposits around the deep faults of North china platform and Tarim platform and in the intermediate zone of umbos of the platform and the downfold of Tianshan-Xing’an,Qilian-Qinling,Eerguna. Based on the study,it is concluded that the endogenetic phosphorite deposits has great prospect in north China,the phosphorite deposits of greenstone belt type and Paleoproterozoic diagenetic metamorphism type has potentiality in prospecting. But it has low grade and small scale for the phosphorite deposits of diagenetic metamorphism type. The phosphorite deposits in north China can be divided into four metallogenetic province at two level,fifteen metallogenetic province at three level and nineteen metallogenetic subzone. The prospects are blocked,including two prospects at first grade and 23 prospects at second grade and 23 prospects at third grade. 21 phosphorite fields have been put forward for the further work.
Keywords:phosphorite deposits in north China  metallogenic background  metallogenic conditions  metallogenic prediction  resource pitential
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