摘要
近年来,皖南地区在钨钼矿找矿方面取得了重大突破,具有较大的找矿潜力。应用GIS技术对皖南地区的地质、矿产、物化遥等综合信息建立地学空间数据库,在此基础上综合分析区内各类成矿信息和找矿信息,借助计算机处理各类数据,进行成矿信息空间综合分析,建立评价预测模型。选用证据权法对矽卡岩型、斑岩型和热液型钨钼矿资源进行空间定位评价和预测,在四级成矿远景区内圈定了23个Ⅴ级成矿区和68个重点区块,并对这些重点区块进行分级与评述,为该地区的钨钼矿勘查提供参考。
In recent years,southern Anhui Province has seen a breakthrough of W-Mo deposit prospecting,which shows great potential. GIS technology was used to establish the geospatial database with geological,mineral and geophysical-geochemical-remote information. The database is helpful in analyzing various mineralization and prospecting information with computer technology. Comprehensive mine information space were analyzed to establish the evaluation and prediction model. 3 types of W-Mo deposit resources of skarn,porphyry and hydrothermal type were evaluated and predicted by the weights-of-evidence method,and 23 Grade-Ⅴ metallogenic zones and 68 key blocks were delineated in the Grade-4 prospecting area. These 68 key blocks were graded and commented to provide reference for W-Mo deposit exploration of the study area.
引文
陈建平,陈珍平,史蕊,等,2011.基于GIS技术的陕西潼关县金矿资源预测与评价[J].地质学刊,35(3):268-274.
陈芳,杜建国,许卫,2013.安徽钨钼矿床成矿背景与成矿模式[J].地质论评,59(3):437-445.
范永香,阳正熙,2005.成矿规律与成矿预测[M].徐州:中国矿业大学出版社.
李裕伟,赵清满,李辰阳,2007.基于GMS、DSS和GIS潜在矿产资源评价[M].北京:地震出版社.
刘俊,曹静平,张晓黎,等,2007.BP神经网络在矿产资源评价中的应用[J].安徽地质,17(2):114-117.
李胜苗,肖克炎,罗小亚,等,2013.基于GIS的综合信息成矿预测与评价:以湘东南枞树板式铅锌多金属矿为例[J]地质学刊,37(3):471-477.
申维,堵海燕,依力哈木,等,2014.基于GIS的证据权法在浙西铜矿资源成矿预测中的应用[J].地质学刊,38(2):245-253.
唐永成,曹静平,支利庚,等,2010.皖东南区域地质矿产评价[M].北京:地质出版社.
田坎,赵永鑫,马渊博,2015.安徽贵池黄山岭铅锌钼矿床成因研究:来自锆石U-Pb年龄及Pb同位素的制约[J]矿物学报,35(增刊1):59.
王德恩,周翔,余心起,等,2011.皖南祁门地区东源钨钼矿区花岗闪长斑岩SHRIMP锆石U-Pb年龄和Hf同位素特征[J].地质通报,30(10):1514-1529.
叶天竺,肖克炎,严光生,2007.矿床模型综合地质信息预测技术研究[J].地学前缘,14(5):11-19.
朱裕生,肖克炎,宁国耀,2000.成矿区带的划分和成矿远景区圈定要求的讨论[J].中国地质,34(6):41-43.
章贤能,郝国胜,2014.皖南黄山区钨石垄岩体地质地球化学特征及找矿意义[J].地质学刊,38(2):219-226.
AGTERBERG F P,BONHAM-CARTER G F,CHENG Q M,et al.,1993.Weighs of evidence modeling and weighted logistic regression for mineral potential mapping[C]//DAVIS J C,HERZFELD U C.Computers in geology:25years of progress.New York:Oxford University Press,13-32.