复杂地质地貌区地球化学异常识别非线性研究  

The non-linear study of geochemical anomaly identification in the complicated geological geomorphic region

作　　者：郭科[1] 陈聆[1] 唐菊兴[2] 

机构地区：[1]成都理工大学信息管理学院数学地质四川省重点实验室,成都610059 [2]中国地质科学院矿产资源研究所,北京100037

出　　处：《成都理工大学学报（自然科学版）》2007年第6期599-604,共6页Journal of Chengdu University of Technology: Science & Technology Edition

基　　金：数学地质四川省高校重点实验室资助;国家自然科学基金资助项目(40172096);高等学校博士点学科专项基金资助项目(20040616005);中国地质调查局综合研究项目(200110200010);地质灾害防治与地质环境保护国家重点实验室开放基金资助项目(GZ2005-09)

摘　　要：应用现代数学非线性理论与方法对西南地区三江北段恒星错测区1:50000水系沉积物测量数据进行了异常识别的非线性研究。率先尝试用人工免疫算法对地球化学数据降噪,并采用分形含量面积法对降噪数据寻求异常下限,从而弥补传统方法确定异常下限出现的缺陷。在此基础上构造了测区地球化学元素分布的分形插值曲面,做出异常等值线图和异常分形插值图。处理结果令人满意。This paper investigates into anomaly identification of the survey data from Hengxingcuo hydrographic deposits in the northern section of Three River （Sanjiang） Region in the southwest of China by means of the non-linear theory and method of modern algebra. This paper takes the lead in using the artificial immune algorithm to reduce noise the and adopts the content-area method of fractal theory to find the abnormal lower limit of reduction data. This approach makes up the faults of the traditional method in determining lower limits. Based on protracting the fractal interpolation surface of geochemical elements, the paper presents the abnormal and abnormal fractal interpolation figures. The result is satisfactory.

关 键 词：人工免疫系统 分形含量面积法 分形插值 异常 

分 类 号：O29[理学—应用数学] P595[理学—数学]