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基于GIS的证据权重法在桂西南地区优质锰矿成矿预测中的应用
引用本文:张宝一,毛先成,周尚国,胡超,闫芳.基于GIS的证据权重法在桂西南地区优质锰矿成矿预测中的应用[J].地质找矿论丛,2011,26(4):359-366.
作者姓名:张宝一  毛先成  周尚国  胡超  闫芳
作者单位:1. 中南大学有色金属成矿预测教育部重点实验室,地球科学与信息物理学院,长沙 410083
2. 中国冶金地质总局,北京,100025
基金项目:国家"十一五"科技支撑计划重大项目课题
摘    要:文章针对传统缓冲区方法在证据因子构造方面的局限性、证据因子设置的主观性及证据因子二值化时的信息损失等问题,引入场模型表达线状地质体对成矿的影响作用,提出利用线性回归分析结果来筛选证据因子.在桂西南优质锰矿形成条件分析的基础上,利用GIS空间分析方法构造了优质锰矿的地层与岩性、同沉积断裂、沉积盆地、沉积相、岩性组合、地层...

关 键 词:证据权重法  优质锰矿  成矿预测  桂西南地区
收稿时间:2011/3/29 0:00:00

Application of the GIS-based weight evidence method to quality manganese ore prediction in southwestern Guangxi
ZHANG Bao-yi,MAO Xian-cheng,ZHOU Shang-guo,HU Chao and YAN Fang.Application of the GIS-based weight evidence method to quality manganese ore prediction in southwestern Guangxi[J].Contributions to Geology and Mineral Resources Research,2011,26(4):359-366.
Authors:ZHANG Bao-yi  MAO Xian-cheng  ZHOU Shang-guo  HU Chao and YAN Fang
Institution:1(1.MOE Key Laboratory of Metallogenic Prediction of Non-ferrous Metals, School of Geosciences and Info-Physics,Central South University,Changsha 410083,China; 2.China Metallurgical Geology Bureau,Beijing 100025,China;)
Abstract:Field theory is introduced to express the metallogenic influence of linear geologic bodies and overcome limitations of traditional buffer method in evidences construction, objectiveness of evedence factor designation and information loss due to binarization of evidence. Linear regression analysis method is proposed to filter the evidence factors. On basis of analyzing metallogenic conditions of quality manganese ore in southwestern Guangxi and GIS spatial analysis 15 evidence factors, such as horizon and lithology, syn- sedimentary fault, sedimentary basin, sedimentary facies, lithologic assembly, strata isopach, degree of dissection and magnetic anomaly of the quality Mn ore deposit are constructed to calculate the degree of manganese formation favorableness, and one class I and two class II quality manganese ore prospects are predicted.
Keywords:weight evidence method  quality manganese ore  metallogenie prediction  southwestern Guangxi
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