CAJ | 학술논문

文章应用灰色系统理论的关联度分析方法，将姚家岭多金属成矿区域网格化，划分成2500个预测单元格；依据姚家岭矿区地质背景，共提取出地层、岩浆岩、断裂、磁测数据等与成矿有关的18个地质变量；基于地理信息系统技术和AE二次开发实现灰色关联度算法，并计算出每个单元格与参考单元格之间的关联度，确定关联度值在88％～100％之间为成矿有利区域，并生成成矿远景区，证明已探明矿体位置在所圈定的预测范围内，为姚家岭及其他地区的地质勘查提供了依据。
문장응용회색계통이론적관련도분석방법，장요가령다금속성광구역망격화，화분성2500개예측단원격；의거요가령광구지질배경，공제취출지층、암장암、단렬、자측수거등여성광유관적18개지질변량；기우지리신식계통기술화AE이차개발실현회색관련도산법，병계산출매개단원격여삼고단원격지간적관련도，학정관련도치재88％～100％지간위성광유리구역，병생성성광원경구，증명이탐명광체위치재소권정적예측범위내，위요가령급기타지구적지질감사제공료의거。
Based on the relational grade analysis of the grey system theory ,Yaojialing polymetallic mineraliza-tion district is divided into 2 500 prediction units .According to the geological background of Yaojialing miner-alization district ,18 geological factors related to the mineralization in Yaojialing area are presented ,including stratigraphy ,magmatic rocks ,fault ,magnetic data and so on .Then the grey relational degree algorithm is realized based on the geographic information system (GIS) technology and AE second development .The rele-vancy between each focused unit and reference units is calculated ,and the most potential mineralization dis-tricts are further formed ,where the values of relational degree are between 0.88 and 1.00 .It is showed that the most potential mineralization district discriminated in this study is generally in accordance with the geolog -ical exploration instance .The prediction results in this study can be used as a credible reference to help the further exploration in Yaojialing district and other districts .