文章摘要
欧智德.基于MAPGIS数字高程模型背景校正法的应用—以湖南省铜山岭-祥霖铺地区为例[J].地质与勘探,2013,49(4):703-712
基于MAPGIS数字高程模型背景校正法的应用—以湖南省铜山岭-祥霖铺地区为例
Application of Background Corretion Based on the MAPGIS Digital Elevation Model to the Tongshanling-Xianglinpu Area in Hunan Province
投稿时间:2009-11-19  修订日期:2010-07-06
DOI:
中文关键词: Mapgis数字高程模型 地球化学背景 残差 窗口大小 铜山岭-祥霖铺地区
英文关键词: Mapgis digital elevation model, geochemical background, residual, window size, the Tongshanling-Xianglinpu area
基金项目:中国地质调查局“南岭地区钨锡多金属矿深部矿地球化学找矿方法试验”项目(No.1212091013014)
作者单位
欧智德 中国地质大学(武汉)地球科学学院湖北武汉 
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中文摘要:
      [摘 要]本文运用Mapgis数字高程模型背景校正法对湖南省铜山岭-祥霖铺地区1:20万水系沉积物数据进行了地球化学异常信息的提取。笔者借助Mapgis高程库管理系统中的像元邻域统计功能,模拟出研究区内W和Sn元素的背景变化趋势,在此基础上对元素含量做背景校正,并利用残差(矿化叠加值)圈定异常。在背景模拟过程中,笔者通过窗口大小对比试验,发现窗口越大,高背景区异常面积越大,而低背景区异常面积越小。因此,应用该法时,需要通过试验以便选出合理大小的窗口。经过背景校正后,区内W、Sn高背景场引起的非矿化异常得以抑制,传统方法圈定的大面积异常被分解成多个强异常, 其空间分布规律性较好,并具有三级浓度分带特征。在低背景区发现了一系列新异常,如W’-7、8、9、13、14、15、21、22、30和Sn’-1、7、11、13、21。校正后的部分异常与已知矿点和成矿岩体或岩脉具有较好的对应关系。
英文摘要:
      Abstract:This paper extracts the geochemical anomaly information utilizing the 1:200, 000 stream sediment data with the method of background correction based on the Mapgis digital elevation model in the Tongshanling-Xianglinpu area, Hunan province. The background variation trends of W and Sn elements are simulated by the statistical function of pixel neighbourhood in Mapgis elevation base management system. And the element concentrations are corrected by the background model, and then the residual (the values of mineralized superposition) are used to delimit the geochemical anomalies. By comparing the window size, we find that the bigger the window is, the greater area of anomalies in high background is, but the smaller area of anomalies in low background is. Therefore, when using this method, we need to test different window sizes to pick out the most suitable one. After background correction, the non-mineralized anomalies caused by the high background of W and Sn are restrained. The large anomalies delineated by the traditional methods are broken up into several strong anomalies. The spatial distribution regularities are much better, and they have three level concentration zones. Some new anomalies are found in the low background, such as W’-7,8,9,13,14,15,21,22,30 and Sn’-1,7,11,13,21. And some anomalies are related to the mineral occurrences and magmatic bodies after correction.
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