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科技导报
|研究论文
2014
, 32
(31) :
75
-79
张量曲率边界识别方法在煤田火烧区磁异常中的应用
全屏
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闫建波, 周文纳
作者信息
通讯作者:
周文纳,讲师,研究方向为重、磁及其梯度张量数据处理及解释,电子信箱:wennazhou@163.com
作者简介:
闫建波,助理工程师,研究方向为煤田、矿产等地球物理勘探,电子信箱:lao_86@126.com
Application of Curvature Gradient Tensor Matrix in Magnetic Anomaly of Burnt Coal Area
YAN Jianbo, ZHOU Wenna
Affiliations
1. Ningxia Bureau of Coal Geological Exploration, Yinchuan 750001, China;
2. Key Laboratory of Mineral Resources in Western China (Gansu Province); School of Earth Sciences, Lanzhou University, Lanzhou 730000, China
出版时间: 2014-11-08
doi: 10.3981/j.issn.1000-7857.2014.31.011
文章导航
为了准确识别煤田火烧区边界位置,对火烧区磁异常进行更加精细的解释,将张量曲率边界识别方法引入到煤田火烧区磁异常的解释中,探讨分析煤田火烧区磁异常的张量曲率特征.根据煤田火烧区磁异常的特点,利用张量曲率的较大特征值和较小特征值分别圈定煤田火烧区和正常区.模型试验中,通过与常用的Theta 图以及垂向导数等方法对比,体现了张量曲率分析方法在地质体边界识别中的优越性,验证了该方法在火烧区边界识别中的有效性.将该方法应用于乌达某煤田实测磁异常数据的解释,发现利用该方法圈定的火烧区范围和其他勘探结果以及已知地质资料相符,说明该方法可以准确有效地识别煤田火烧区和正常区边界范围,为煤田火烧区的磁异常解释提供很好的依据.
张量曲率矩阵
/
煤田火烧区
/
磁异常
/
边界识别
This paper introduces the curvature gradient tensor matrix (CGTM) method to identify the edge of burnt coal areas more accurately and to interpret the magnetic anomaly in more detail. The characteristics of CGTM of the magnetic anomaly in the burnt coal areas are discussed and analyzed. The characteristics indicate that the larger and smaller eigenvalues of CGTM can be used to identify the burnt coal areas and normal areas of the coalfield. In the model tests, the Theta map and vertical derivative edge detection methods were compared with the CGTM. The results demonstrate that the CGTM method is superior in edge detection of geological sources. The effectiveness of the method was also demonstrated. Finally, the method was applied to interpretation of the magnetic anomaly of Wuda coalfield. The results obtained by CGTM method had good agreement with other known geological data. It shows that the method could accurately and effectively identify the edge of coalfield fire areas and normal areas, and is useful for interpreting the magnetic anomaly of coal fire areas.
curvature gradient tensor matrix
/
burnt area of coalfield
/
magnetic anomaly
/
edge detection
闫建波, 周文纳.
张量曲率边界识别方法在煤田火烧区磁异常中的应用.
科技导报,
2014
, 32
(31)
: 75
-79
.
DOI: 10.3981/j.issn.1000-7857.2014.31.011
YAN Jianbo, ZHOU Wenna.
Application of Curvature Gradient Tensor Matrix in Magnetic Anomaly of Burnt Coal Area[J].
Science & Technology Review ,
2014
, 32
(31)
: 75
-79
.
DOI: 10.3981/j.issn.1000-7857.2014.31.011
2014年第32卷第31期
PDF下载
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2014.31.011
接收时间:2014-05-15
首发时间:2014-11-15
出版时间:2014-11-08
收稿日期:2014-05-15
修回日期:2014-07-08
通讯作者:
周文纳,讲师,研究方向为重、磁及其梯度张量数据处理及解释,电子信箱:wennazhou@163.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2014.31.011
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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