Abstract
U.S. Environmental Protection Agency categorized Buffalo Creek as one of the impaired waters in Cape Fear River Basin, North Carolina, due to high concentrations of metals and pathogens. These contaminants originate from effluents discharged from industries and agricultural activities. This study used a numerical groundwater flow modeling approach to investigate the surface and groundwater interaction in the Buffalo Creek watershed for the fate and transport of contaminants. The movement of groundwater flow was simulated using MODFLOW while the particle tracking was analyzed by the MT3D model. MODFLOW solves groundwater flow equation using the finite-difference approximation. The flow region which covers both North and South Buffalo Creek was subdivided into blocks or cells in which the medium properties were assumed to be uniform. The cells are made from a grid of mutually perpendicular lines that are variably spaced depending upon the location. Spatial locations and distributions of stream networks, elevations, boundary conditions (no flow and constant, variable head zones), existing well locations, and industrial as well as wastewater effluent discharge locations were developed within ArcGIS environment. The modeling tasks of this study are domain characterization (database for surface elevation and stream network), modeling setup, and calibration and validation of the model using observed data. The observed data for baseflow was obtained using the baseflow filter algorithm, which basically separates baseflow from streamflow based on nature of the hydrograph. The modeling setup and initial calibration results for the steady-state simulation are presented in this chapter.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Arnold, J. G., & Allen, P. M. (1999). Validation of automated methods for estimating baseflow and groundwater recharge from streamflow records. Journal of American Water Resources Association, 35, 411–424.
Chiang, W.-H., & Kinzelbach, W. (2001). Groundwater Modeling with PMWIN. New York: Springer. doi:10.1007/978-3-662-05551-6. ISBN 978-3-662-05551-6.
City of Greensboro. (2011). Sewage collection and reclamation plant. City of Greensboro Open-File- Report. Retrieved from www.greensboro-nc.gov/Modules/ShowDocument.aspx?documentID.
Daniel, C. C., & Harned, D. A. (1998). Ground-water recharge to and storage in the regolith-fractured crystalline rock aquifer system, Guilford County, North Carolina. US Geological Survey Water-Resources Investigations Report 97–4140.
Harbaugh, A. W., Banta, E. R., Hill, M. C., & McDonald, M. G. (2000). MODFLOW-2000, The U.S. geological survey modular ground-water model—User guide to modularization concepts and the ground-water flow process: Open-File Report 00-92, 121p. Retrieved from http://water.usgs.gov/ogw/MODFLOW_list_of_reports.html.
HERA Team. (2007). Guilford County groundwater monitoring. Department of Public Health Report. Open-File Report.
Kimberly, M. Y. (2002). Functional assessment for proposed flood plain storm water treatment wetland.
Kopec, R. J., & Clay, J. W. (1975). Guilford County groundwater monitoring. Department of Public Health: Status Report. Retrieved from www.co.guilford.nc.us/gheh_cms/hera/forms/NetworkReport.pdf.
Lyne, V. D., & Hollick, M. (1979). Stochastic time variable rainfall-runoff modeling. In Hydro and Water Resource Symposium (pp. 89–92). Perth, Australia: Institution of Engineers Australia.
McDonald, M. G., & Harbaugh, A. W. (1988). A modular three-dimensional finite-difference groundwater flow model. Techniques of water-research investments of the US Geological Survey, Book 6, Chapter A1.
Nathan, R. J., & McMahon, T. A. (1990). Evaluation of automated techniques for baseflow and recession analysis. Water Resources Research, 26, 1465–1473.
Prudic, D. E. (1989). Documentation of a computer program to simulate stream-aquifer relations using a modular, finite difference groundwater flow model. US Geological Survey, Open-File Report, 88–729.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Feyyisa, J., Jha, M.K., Chang, SY. (2016). Groundwater Flow Modeling in the Shallow Aquifer of Buffalo Creek, Greensboro. In: Uzochukwu, G., Schimmel, K., Kabadi, V., Chang, SY., Pinder, T., Ibrahim, S. (eds) Proceedings of the 2013 National Conference on Advances in Environmental Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-19923-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-19923-8_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19922-1
Online ISBN: 978-3-319-19923-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)