Case Studies
Nov 19, 2020

Evaluating Potential Impact of Short-Term Augmentation of Groundwater Production on Groundwater Levels in Tampa Bay Region

Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 2

Abstract

Water supply management is challenging due to diverse stakeholders, conflicting objectives, increasing water demand, increasing regulation complexity, changing climate, and infrastructure constraints. To manage residual risk for water supply systems, utilities often apply water shortage mitigation plans to navigate through rare but extreme water shortage conditions before investing in an expensive new supply infrastructure. Some supply source augmentation strategies can be enabled through temporary reduction of regulatory constraints, e.g., groundwater production permits, that are protective of natural systems. Understanding the potential impact of pumping excursions on the groundwater level is important before implementing such management strategy. This study examines the resilience of water levels in the surficial aquifer system to temporarily increased groundwater pumping above a permit limit in the Tampa Bay region, located in west central Florida. Two major modeling tools were used, including the calibrated Integrated Northern Tampa Bay (INTB) model that dynamically couples hydrologic simulation of uplands and water bodies with groundwater and Unit Response Matrix (URM), which estimates groundwater level changes at monitoring wells due to pumpage changes at production wells. Both recovery time and maximum groundwater level changes are investigated. Results reveal that the median recovery time to preexcursion conditions for surficial aquifer in the study area is within 1 year for nearly all investigated scenarios. This indicates groundwater production excursions can serve as an attractive measure to mitigate severe water shortage conditions with no long-term adverse impacts to natural systems. Implication of this is a potential deferment of significant investment in infrastructure in the study area with the use of an effective water shortage mitigation plan to manage residual risk of the water supply system.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request (including the INTB model, stochastic rainfall data, and code for calculating groundwater level at monitoring wells).

Acknowledgments

The authors thank the editor, anonymous associate editor, and reviewers for the constructive comments that improved the manuscript.

References

Ahlfeld, D. P., and G. Baro-Montes. 2008. “Solving unconfined groundwater flow management problems with successive linear programming.” J. Water Resour. Plann. Manage. 137 (1): 404–412. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:5(404).
AWWA (American Water Works Association). 2014. Water shortage preparedness survey results. Denver: AWWA.
AWWA (American Water Works Association). 2019. Manual of water supply practices—M60 drought preparedness and response. 2nd ed. Denver: AWWA.
Barlow, P. M., D. P. Ahlfeld, and D. C. Dickerman. 2003. “Conjunctive-management models for sustained yield of stream-aquifer systems.” J. Water Resour. Plann. Manage. 129 (1): 35–48. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:1(35).
Bicknell, B. R., J. C. Imhoff, J. L. Kittle Jr., J. H. Jobes, A. S. Donigian Jr., and R. C. Johanson. 2005. Hydrological simulation program—Fortran: HSPF version 12.2 User’s manual. Athens, GA: USEPA.
Chang, S., W. Graham, J. Geurink, N. Wanakule, and T. Asefa. 2018. “Evaluation of impacts of future climate change and water use scenarios on regional hydrology.” Hydrol. Earth Syst. Sci. 22 (9): 4793–4813. https://doi.org/10.5194/hess-22-4793-2018.
Dai, A. 2010. “Drought under global warming: A review.” Clim. Change 2 (1): 45–65. https://onlinelibrary.wiley.com/doi/abs/10.1002/wcc.81.
Emrich, J. L., and M. R. Piedmonte. 1991. “A method for generating high-dimensional multivariate binary variates.” Am. Statistician 45 (4): 302–304. https://doi.org/10.1080/00031305.1991.10475828.
EPA. 2016. “Drought response and recovery, a basic guide for water utilities.” Accessed November 15, 2019. https://www.epa.gov/sites/production/files/2016-03/documents/epa_drought_response_and_recovery_guide.pdf.
Geurink, J. S., J. L. Shelby, R. Murch, and P. Tara. 2016. Integrated hydrologic model version 3 user guide. Clearwater, FL: Tampa Bay Water, Southwest Florida Water Management District.
Haag, H. K., and T. M. Lee. 2010. Hydrology and ecology of freshwater Wetlands in Central Florida—A primer. Reston, VA: USGS. https://doi.org/10.3133/cir1342.
Harbaugh, A. W., and M. G. McDonald. 1996. Programmer’s documentation for MODFLOW-96, an update to the US Geological Survey modular finite-difference ground-water flow model., 220. Reston, VA: USGS.
Howitt, R. E., J. Medellin-Azuara, D. MacEwan, J. R. Lund, and D. A. Sumner. 2014. Economic analysis of the 2014 drought for California agriculture. Davis, CA: Univ. of California.
Hwang, S., and W. Graham. 2014. “Assessment of alternative methods for statistically downscaling daily GCM precipitation outputs to simulate regional streamflow.” J. Am. Water Resour. Assoc. 50 (4): 1010–1032. https://doi.org/10.1111/jawr.12154.
Hwang, S., W. D. Graham, J. S. Geurink, and A. Adams. 2014. “Hydrologic implications of errors in bias-corrected regional reanalysis data for west central Florida.” J. Hydrol. 510 (Mar): 513–529. https://doi.org/10.1016/j.jhydrol.2013.11.042.
IHM (Integrated Hydrologic Model). 2000. “Tampa Bay Water, 2020.” Accessed April 11, 2020. https://www.integratedhydrologicmodel.org/.
Lee, A. S., and J. S. Aronofsky. 1958. “A linear programming model for scheduling crude oil production” J. Petrol. Technol. 10 (7): 51–54. https://doi.org/10.2118/862-G.
Lund, J., J. Medellin-Azuara, J. Durand, and K. Stone. 2018. “Lessons from California’s 2012–2016 drought.” J. Water Resour. Plann. Manage. 144 (10): 04018067. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000984.
Maddock, T. 1972. “Algebraic technological function from a simulation model.” Water Resour. Res. 8 (1): 129–134. https://doi.org/10.1029/WR008i001p00129.
Metz, P. A. 2011. Factors that influence the hydrologic recovery of wetlands in the Northern Tampa Bay area, Florida. Reston, VA: US Dept. of the Interior, USGS.
Mussá, F. E. F., Y. Zhou, S. Maskey, I. Masih, and S. Uhlenbrook. 2015. “Groundwater as an emergency source for drought mitigation in the Crocodile River catchment, South Africa.” Hydrol. Earth Syst. Sci. 19 (2): 1093–1106. https://doi.org/10.5194/hess-19-1093-2015.
NRC (National Research Council). 2004. Valuing ecosystem services: Toward better environmental decision-making. Washington, DC: Water Science and Technology Board, National Research Council, National Academies Press.
Reichard, E. G. 1995. “Groundwater-surface water management with stochastic surface water supplies: A simulation-optimization approach.” Water Resour. Res. 31 (11): 2845–2865. https://doi.org/10.1029/95WR02328.
Ross, M., J. Geurink, A. Said, A. Aly, and P. Tara. 2005. “Evapotranspiration conceptualization in the HSPF-MODFLOW integrated models.” J. Am. Water Resour. Assoc. 41 (5): 1013–1025. https://doi.org/10.1111/j.1752-1688.2005.tb03782.x.
Ross, M. A., and J. S. Geurink. 2018. Integrated hydrologic model version 3 theory and implementation. Clearwater, FL: Tampa Bay Water, Southwest Florida Water Management District.
Sheffield, J., and E. F. Wood. 2008. “Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations.” Clim. Dyn. 31 (1): 79–105. https://doi.org/10.1007/s00382-007-0340-z.
Tampa Bay Water. 2017. “Water shortage mitigation plan.” Accessed November 15, 2019. https://www.tampabaywater.org/documents/conservation/Water-Shortage-Mitigation-Plan-2017.pdf.
Wanakule, N., and A. Adams. 2014. “Chapter 8: Using optimization in wellfield operations: An implementation case study at Tampa Bay Water.” In Introduction to optimization analysis in hydrosystem engineering. Berlin: Springer.
Wang, H., T. Asefa, D. Bracciano, A. Adams, and N. Wanakule. 2019. “Proactive water shortage mitigation integrating system optimization and input uncertainty.” J. Hydrol. 571 (Apr): 711–722. https://doi.org/10.1016/j.jhydrol.2019.01.071.
WEST Consultants, Earthfx, and Hydrocomp. 2013. Integrated Northern Tampa Bay model application peer review. Clearwater, FL: Tampa Bay Water, Southwest Florida Water Management District.
WEST Consultants, Earthfx, and Hydrocomp. 2018. Scientific review of the integrated hydrologic model. Clearwater, FL: Tampa Bay Water, Southwest Florida Water Management District.
World Resources Institute. 2005. Ecosystems and human well-being: Wetlands and water synthesis: A report of the millennum ecosystem assessment. Washington, DC: World Resources Institute.
Yazicigil, H. 1990. “Optimal planning and operation of multiaquifer system.” J. Water Res. Plann. Manage. 116 (4): 435–454. https://doi.org/10.1061/(ASCE)0733-9496(1990)116:4(435).

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 2February 2021

History

Received: Dec 21, 2019
Accepted: Aug 18, 2020
Published online: Nov 19, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 19, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Hui Wang, M.ASCE [email protected]
Principal Water Resources Systems Engineer, Tampa Bay Water, 2575 Enterprise Rd., Clearwater, FL 33763 (corresponding author). Email: [email protected]
Tirusew Asefa, F.ASCE
Manager, System Decision Support, Tampa Bay Water, 2575 Enterprise Rd., Clearwater, FL 33763.
Nisai Wanakule, M.ASCE
Lead Water Resources Systems Engineer, Tampa Bay Water, 2575 Enterprise Rd., Clearwater, FL 33763.
Lead Water Resources Systems Engineer, Tampa Bay Water, 2575 Enterprise Rd., Clearwater, FL 33763. ORCID: https://orcid.org/0000-0002-5354-1172

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share