A study on recognition characterization of passive super low frequency electromagnetic exploring curves of goaf

Author

Qiming, Qin ; Baishou, Li ; Xia, YE ; Hongbo, Jiang ; Rongbo, Cui ; Wei, Tian

Author_Institution

Sch. of Earth & Space Sci., Peking Univ., Beijing, China

Volume

2

fYear

2009

fDate

12-17 July 2009

Abstract

It is found that the abandoned mine goaves, because of the different fillers, exist in below types: goaves filled with air, filled with water, and congested by falling coal bed roof after investigation. According to the goaf types and characteristics of different fillings in goaves by super low frequency (SLF) electromagnetic exploring, the SLF electromagnetic exploring curves may be classified into three major categories: the characteristic curve of air filled goaf, the characteristic curve of water filled goaf, and the characteristic curve of coal bed roof backfilled goaf. Based on the analysis above, we established the recognition characterization of passive super low frequency electromagnetic exploring spectrum curves with respect to goaves, and accordingly obtained the information of goaves.

Keywords

coal; electromagnetic wave scattering; geophysical signal processing; geophysical techniques; mining; remote sensing; abandoned mine goaves; air filled goaves; coal bed roof backfilled goaf; goaf types; passive super low frequency electromagnetic exploring curves; recognition characterization; water filled goaves; Character recognition; Conductivity; Electric variables; Electromagnetic analysis; Electromagnetic shielding; Filling; Frequency; Geoscience; Information analysis; Water; Abandoned mine goaves; Recognition characterization; Super Low Frequency Electromagnetic Exploring;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5418090

Filename

5418090