Application of Weights of Evidence Method for Mineral Potential Assessment Based on GIS: A Case Study on Prediction of Copper Deposits in Qilian Mountains Area
Based on good knowledge of the character of geological setting and mineralization properties, the Qilian Mountains research area has been divided into 9432 units with 10 km ×10 km for each unit. We combined multi-source geology information including data on strata, magmatic rocks, and faults with preliminary information on copper deposits in Qilian Mountains area. We have come to the following conclusions: the lower Paleozoic provides a combination of beneficial strata, and the most beneficial magmatic rocks are basic-ultrabasic. The radius for beneficial buffer zone for faults is 2.59 km, because as many as 80％ of copper deposits are distributed in this area. Using the spatial analysis option of GIS, we have built an evidence weight model by chosing 13 evidence factors, including strata, faults and a measure of complexity. Using the evidence weight method, we have predicted favourable areas delimited according to ore formation probability value. The conclusion of this prediction is that there are good prospects for further ore finding in the area.Mineral resource prediction is based on multi-source geology information, including geology, geophysical, geochemical and remote sensing data. Each type of information can be divided into many types. For example, geology information includes strata, magmatic rocks, and fault information; geochemical information includes metal elements content, and rock chemical information; geophysical formation is of different types because it results from different methods, and so on. So mineral resource prediction information has various input sources. In the meantime, the original information includes various types of ore genetic information that is both relevant and irrelevant. Of course, we only want to use the information that is relevant. Therefore using ore forming theories, and using the results of technical exploration methods, when dealing with the original information, extracting the most beneficial combination, is the main point of mineral resource prediction.This paper takes Qilian mountainous copper ore deposits located in northwestern China for example, making use of the evidence weight methods for mineral prediction.
Jiangnan Zhao Shouyu Chen Shuguang Gao
Institute of Mathematical Geology & Remote Sensing, Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
447-450
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）