Application of ArcGIS to Iron Ore Resource Prediction in the Eastern Segment of the Awulale Belt, West Tian Shan
详细信息
- 责任者：Pan Zhanchao (Xinjiang University ; Urumqi 830049 ; China) ; Gong Xiaoping
- 刊名：Geology and Prospecting
- 出版年：2013
- 卷期：49(3)
- 关键词：铁矿 ; iron ores ; 地理信息系统 ; geographic information system ; 天山 ; Tianshan Mountains
- 页码：p.558-569
- 图表：illus., 8 tables, 13 refs.
- 分类号：1001
- issnNo：ISSN0495-5331
- isbnNo：CN11-2043/P
摘要
Taking the skarn iron deposits in the eastern segment of the West Tian Shan as an examples, this work uses the ArcGIS platform to establish a spatial database in terms of the geological background and the 6 known marine volcanic iron deposits (occurrences) in this area. Combined with the known deposits, geological data and field investigation, the prospecting and forecast area extraction models are established. We conclude the primary ore-controlling factors of the marine volcanic iron deposits as follows: ① sedimentary formation; ②intrusive mass; and ③Bouguer gravity anomalies. The secondary factors include fault distance and fault density. Starting from the these five aspects of evidence and the spatial relationship of iron mineralization, and making synthesis to them, the evidence weight model and weighted logistic regression model are used to evaluate the metallogenic favorable degrees, and iron six target areas are forecasted. Combined with the main mineral occurrences, the metallogenic geological conditions of the target area are discussed, and the prospecting potential of this region is analyzed.
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