摘要
资源与环境是人类赖以生存的基本条件 ,煤田火区灾害破坏了资源和恶化了环境 .根据煤田火区环境治理工程的需要 ,基于煤田火区高精度磁法探测实践和小波分析方法的研究 ,提出适于煤层自燃条件下物理场特征的小波核函数模型和以常规方法为基础的煤田火区深部信息提取方法 ,建立了磁导数字成像方法 .通过宁夏汝箕沟煤田火区的实验效果和工程验证 。
Resources and environment are essential to survive of human being. However, coal fire results more lose of natural resources and environment degradation. The paper focuses on methodological study on finding a effective method for extracting information of underground coal fire, based on the dynamic magnetic features of coal fire and high resolution detection. A new wavelet function, being available to describe the situation of coal fire, was proposed, so as to establish a digital imaging method by using high-resolution magnetic data. Test, carried out in Rujigou coal fire area of northern China, shows that underground magnetic image could be established, that directs to burned rocks relational to underground coal fire. The image would be useful for design of fighting engineering and 3D dynamic monitoring.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2001年第3期225-229,共5页
Journal of China Coal Society
基金
中国与荷兰政府合作的"中国北方地区煤田火区监测与治理"项目之一
关键词
煤层自燃
煤田火区
小波函数
磁导成像
动态监测
spontaneous combustion of coal layer
underground coal fire
wavelet function
magnetic imaging
dynamic monitoring