Title :
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
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;
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
DOI :
10.1109/IGARSS.2009.5418090
