摘要
来自深部循环的地热水化学成分比较复杂 ,为能安全而有效地使用地下热水 ,须对地热水中有害成分的含量进行分析评价。考虑到评价分级过程中存在的模糊性 ,文章从模糊集的理论与方法出发 ,将模糊聚类最大矩阵元原理与基于数据迭代为基础的模糊ISODATA聚类分析相结合 ,形成模糊混合聚类法。利用该方法对福建省福州市地热水有害成分超标程度进行了分类评价。在地热田区沿断层走向选取典型钻孔 ,对其中的地下热水水质有害成分超标程度进行最优分类 ,划分等级 ;并通过对地热水有害成分因子的分类 ,分析出引起有害成分超标的最主要的有害成分因子为F- 、pH、H2
Geothermal water from deep circulation of earth contains complicated chemical components.In order to use geothermal water resource effectively and safely,analysis and assessment on harmful components contained in geothermal water should be performed.From theoretical point of view on fuzzy set,considering the fuzziness of grading,the maximum matrix element principle of fuzzy cluster,in conjunction with ISODATA cluster analysis,builds up a fuzzy mixed cluster algorithm.Classification of harmful components exceeding standard of geothermal water in Fuzhou has been carried out by this algorithm.Typical boreholes have been chosen along the strike of the fault in geothermal field,optimized classification and grading have been conducted on geothermal water quality,through which the most harmful components figured out are mainly F -、pH、H 2S etc.
出处
《中国地质灾害与防治学报》
CSCD
2002年第3期73-77,104,共6页
The Chinese Journal of Geological Hazard and Control
关键词
模糊混合聚类法
地热水
有害成分
超标程度评价
截集水平
布尔矩阵
最优分类
福州市
geothermal water
harmful component
evaluation of degree of exceeding standard
truncated level
Boolean matrix
optimized classification
