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2011~2020年勘查地球化学数据处理研究进展
引用本文:左仁广,王健,熊义辉,王子烨.2011~2020年勘查地球化学数据处理研究进展[J].矿物岩石地球化学通报,2021,40(1):81-93.
作者姓名:左仁广  王健  熊义辉  王子烨
作者单位:中国地质大学(武汉)地质过程与矿产资源国家重点实验室,武汉430074;成都理工大学地球科学学院,成都610059;中国地质大学(武汉)地质过程与矿产资源国家重点实验室,武汉430074;中国地质大学(武汉)地质过程与矿产资源国家重点实验室,武汉430074
摘    要:我国建立了包含海量数据的高质量的勘查地球化学数据库,为矿产勘查、环境评价和地质调查等提供了重要的数据支撑。如何高效处理勘查地球化学数据,并从中发掘和识别深层次信息一直是勘查地球化学学科研究的热点和前沿领域。本文在系统调研国内外学者过去十年发表的论著基础上,对勘查地球化学数据处理方法进行分析与对比,从勘查地球化学数据库建设、地球化学异常识别及其不确定性评价等方面概述了我国近十年来在该领域取得的主要研究进展,包括:(1)分形与多重分形模型由于考虑了地球化学空间模式的复杂性和尺度不变性,在全球范围内得到极大的发展和推广,我国学者引领了基于分形与多重分形的勘查地球化学数据处理;(2)机器学习和大数据思维开始在该领域启蒙,并迅速得到关注,正在成为研究热点和前沿领域,我国学者率先开展基于机器学习算法的勘查地球化学大数据挖掘研究;(3)我国学者需要进一步加强勘查地球化学数据缺失值处理以及成分数据闭合效应研究。今后该领域应进一步加强对弱缓地球化学异常识别、异常不确定性评价以及异常识别与其形成机理相结合等方面的研究。

关 键 词:勘查地球化学  地球化学异常  数据处理  分形  机器学习

Progresses of Researches on Geochemical Exploration Data Processing During 2011-2020
ZUO Ren-guang,WANG Jian,XIONG Yi-hui,WANG Zi-ye.Progresses of Researches on Geochemical Exploration Data Processing During 2011-2020[J].Bulletin of Mineralogy Petrology and Geochemistry,2021,40(1):81-93.
Authors:ZUO Ren-guang  WANG Jian  XIONG Yi-hui  WANG Zi-ye
Institution:(State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences(Wuhan),Wuhan 430074,China;College of Earth Science,Chengdu University of Technology,Chengdu 610059,China)
Abstract:China has established a database with large amounts of high-quality geochemical exploration data,which can provide important data support for mineral exploration,environmental assessment,and geological survey.How to efficiently process geochemical exploration data for identifying the deep-seated information has always been a hot and frontier topic in the field of exploration geochemistry.Based on systematically investigating and studying domestic and foreign scholars’publications on the geochemical exploration data processing in the past decade,in this review,we have summarized the main research progresses of the geochemical exploration data processing in China in the past decade from aspects of construction of geochemical exploration database,geochemical anomaly identification and uncertainty evaluation.In addition,this review pointed out three research directions should be further focused on geochemical exploration data processing in the future.Main progresses of researches on the geochemical exploration data processing in China in recent ten years are given below:(1)the fractal and multifractal methods have been paid wide attentions gloablly and greatly developed and promoted due to their capabilities of characterizing the complexity and scale-invariance of geochemical spatial patterns.Chinese researchers have played leading roles in the field of exploration geochemical data processing based on fractal and multifractal models;(2)the machine learning and big data thinking began to be applied to the geochemical exploration data processing and rapidly gained researder attention in this field.They are becoming the hot topic and state-of-the-art techniques for the geochemical exploration data processing.Researchers in our country firstly explored the geochemical exploration big data using machine learning algorithms;(3)more studies on the processing of missing data and closed effect of geochemical compositional data should be carried out in China.In the near future,researchers should put more efforts on studies of identifying weak geochemical anomalies,assessing the uncertainty of identified geochemical anomalies,and the integrated study of the anomaly identification and genetic mechanisms of geochemical anomalies.
Keywords:geochemical exploration  geochemical anomalies  data processing  fractal  machine learning
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