Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Environmental Geophysical Analysis of a Portion of the Muddy and Roaring Creek Watersheds, West Virginia

Alfouzan, Fouzan Ali (2002) Environmental Geophysical Analysis of a Portion of the Muddy and Roaring Creek Watersheds, West Virginia. Master's Thesis, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF (Investigating the Relationship Between FAI QuesEnvironmental Geophysical Analysis of Portion of the Muddy and Roaring Creek Watersheds, West Virginian)
Primary Text

Download (4MB) | Preview
[img]
Preview
PDF (Abstract, Acknowledgments, Contents, List of Figures, List of Tables)
Supplemental Material

Download (192kB) | Preview
[img]
Preview
PDF (Body of Dissertation)
Supplemental Material

Download (5MB) | Preview

Abstract

This thesis presents a new environmental geophysical analysis derived from airborne and ground measurements of electromagnetics and total magnetic field collected from the Muddy and Roaring Creek watersheds located in northeastern Preston County, West Virginia. This region is referred to as the T&T mine area. In the simplest representation, with respect to subsurface Acid Mine Drainage (AMD) impacted water systems, the subsurface regions can be thought of as containing three pools of AMD contaminated water. The objectives of this project were to determine the location of these subsurface pools, the lateral extent of a contaminated mine pool located at a depth of about 300 feet, and to determine areas of groundwater recharge to the mine pool. Geophysical data analyzed included frequency-domain electromagnetic (EM) conductivity (380, 1400, 6200, 25k and 102k Hz), VLF (VLF1I from Cutler station, VLF2I from Seattle station), and total field magnetics. In order to check the airborne data, ground measurements were collected using EM34 and EM47 instruments. These data were collected for the National Energy Technology Laboratory of the U.S. Department of Energy as part of their active and ongoing environmental geophysical program. Cultural noise was removed from some of the conductivity dataset using ER MAPPER software and applying a variety of spatial frequency filters. ER MAPPER, ERDAS Imagine, ERDAS Virtual GIS, ESIR Arc/Info, and ESRI ArcView software package were then used to display and interpret the data. The geometry of the high-conductivity pools were imaged using a variety of techniques including Hue Saturation and Intensity (HSI) algorithms and unsupervised classification using ER MAPPER and Arc/Info software. After the pool geometry was determined, a series of geophysical profiles were extracted from the edges of the three pools. I interpret these data as showing the geometry of the mine pools and regions of contrasting groundwater conductivity related to discharge.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Alfouzan, Fouzan Alifoa4@pitt.eduFOA4
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairHarbert, Williamharbert@pitt.eduHARBERT
Committee MemberZhu, Chenczhu@pitt.eduCZHU
Committee MemberRamsey, Michaelramsey@ivis.eps.pitt.edu
Date: 18 October 2002
Date Type: Completion
Defense Date: 6 August 2002
Approval Date: 18 October 2002
Submission Date: 25 July 2002
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Geology and Planetary Science
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Muddy Creek Watershed; Roaring Creek Watershed; and Geophysics; Frequency Domain electromagnetic
Other ID: http://etd.library.pitt.edu:80/ETD/available/etd-07252002-110850/, etd-07252002-110850
Date Deposited: 10 Nov 2011 19:53
Last Modified: 15 Nov 2016 13:46
URI: http://d-scholarship.pitt.edu/id/eprint/8578

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item