| 广东庞西垌地区地球化学组合异常识别与提取 |
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| 引用本文： | 张焱,周永章,王正海,黄锐,吕文超,王林峰,梁锦,曾长育.广东庞西垌地区地球化学组合异常识别与提取[J].地球学报,2011,32(5):533-540. |
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| 作者姓名： | 张焱 周永章 王正海 黄锐 吕文超 王林峰 梁锦 曾长育 |
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| 作者单位： | 中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;武汉地质工程勘察院;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室;中山大学地球科学系; 广东省地质过程与矿产资源探查重点实验室 |
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| 基金项目： | 广东庞西垌地区矿产远景调查(编号: 1212010071012); 国家青年科学基金(编号: 41004051); 全国矿产资源潜力评价项目(编号: 国土资源部资[2007]038-01-18) |
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| 摘 要： | 为了解地球化学元素空间组合分布规律,采用因子泛克里格法构建组合模型用于识别组合地球化学异常,使用分形滤波技术强化弱异常并分离异常与背景.将组合异常模型和分形滤波技术用于钦杭结合带南段庞西垌地区1∶5万水系沉积物地球化学数据进行处理分析,目的在于寻求地球化学致矿异常,寻找未知矿床.研究结果表明,根据组合变量提取出的组合异...
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| 关 键 词： | 地球化学组合异常 因子泛克里格 分形滤波技术 庞西垌 水系沉积物 |
The Recognition and Extraction of Geochemical Composite Anomalies: A Case Study of Pangxidong Area |
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| Institution: | Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Wuhan Institute of Geological Engineering Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration;Department of Earth Sciences, Sun Yat-Sen University; Guangdong Key Laboratory of Geological Processes and Mineral Resource Exploration |
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| Abstract: | In order to study the spatial combination distribution of geochemical elements, the authors used factor-kriging method to construct a combinational model for identifying combinations of geochemical anomalies, and employed fractal filtering technique to strengthen weak anomalies and separate anomaly and background. The composite anomaly model was combined with fractal filtering techniques for processing and analyzing geochemical data obtained from 1:50000 stream sediment geochemical survey at Pangxidong in the southern segment of Qinzhou-Hangzhou juncture zone, with the purpose of looking for ore-related anomalies and finding unknown deposits. The results show that composite anomalies from combinational variables are consistent with known mineralization of the study area. Although the composite anomalies can not fully reflect local anomalies, high anomaly areas can indicate direction for exploring unknown deposits and, on such a basis, anomaly and background separated from composite anomalies by using fractal filtering technique can provide guidance for further work. |
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| Keywords: | geochemical composite anomaly factor-kriging model fractal filtering techniques Pangxidong stream sediments |
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