摘要
确定异常下限的传统方法是基于统计理论的,只考虑了数据的随机性;但是地球化学数据不仅具有随机性,还具有不规则性和自相似性,适合用分形理论来处理。作者采用基于分形理论的含量面积法来确定地球化学元素的异常下限,同时以具有强大的数据处理能力和空间信息处理能力GIS技术为平台,构建出地球化学异常的自动圈定的新方法。在西南三江北段地球化学元素异常圈定的应用实例表明,该方法能有效提高地球化学异常识别的精度和自动化程度。
Geochemical anomaly is all long the important foundation to forecast minerals. The traditional algorithm to find the low limit of geochemical anomalies is based on the statistics. It only considers the randomness. However, the geochemical data are irregular and self similar in addition, so they should be done with fractal theory. The authors introduce a new technique to delineate geochemical anomalies automatically, adopt a content-area method based on fractal theory to find the low limit of geochemical anomalies, and take the technology of GIS as the platform of mass data and space information management. The practice in the northern reaches of the three rivers area (Jinsha River, Lancang River and Nujiang River) in the southwest of China has proved the technique efficient.
出处
《成都理工大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第4期356-359,共4页
Journal of Chengdu University of Technology: Science & Technology Edition
基金
国家自然科学基金(40172096)
高等学校博士点专项基金(20040616005)
成都理工大学数学实验中心资助项目
关键词
MAPGIS
分形
异常下限
地球化学
自动圈定
MAPGIS
fractal
low limit of abnormity
geochemistry
automatic delineation