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Methods for removing signal noise from helicopter electromagnetic survey data

Al-Fouzan, F and Harbert, W and Dilmore, R and Hammack, R and Sams, J and Veloski, G and Ackman, T (2004) Methods for removing signal noise from helicopter electromagnetic survey data. Mine Water and the Environment, 23 (1). 28 - 33. ISSN 1025-9112

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A geophysical analysis was conducted over the abandoned T&T subsurface mines and portions of the Muddy and Roaring Creek watersheds in northeastern Preston County, West Virginia. The data were collected using helicopter-borne measurements of frequency-domain electromagnetic (FDEM) conductivity (390, 1555, 6254, 25,800, and 102,680 Hz). Noise was a significant issue in the lowest frequency EM conductivity data, especially the 390 Hz and 1555 Hz data; noise removal was accomplished by standard spatial frequency filtering, using homomorphic filters and Fourier filtering along individual flight lines. We interpret the filtered FDEM apparent conductivities and apparent resistivities as showing regions of potential mine pools and regions of contrasting groundwater conductivity related to discharge.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Al-Fouzan, F
Harbert, Wharbert@pitt.eduHARBERT
Dilmore, R
Hammack, R
Sams, J
Veloski, G
Ackman, T
Date: 1 December 2004
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Mine Water and the Environment
Volume: 23
Number: 1
Page Range: 28 - 33
DOI or Unique Handle: 10.1007/s10230-004-0033-3
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Geology and Planetary Science
Refereed: Yes
ISSN: 1025-9112
Date Deposited: 25 Aug 2012 15:22
Last Modified: 02 Feb 2019 15:57


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