Technical Papers
Jul 7, 2017

Costs of Water Quality Goals under Climate Change in Urbanizing Watersheds: Difficult Run, Virginia

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 9

Abstract

Reducing nutrient loadings in urban areas is important for water quality improvement programs in many watersheds. Urban nutrient loadings are expected to increase and become more variable under climate change (CC). In this study, a water quality simulation model (SWMM), land cover data layers, and mathematical programming models were used to compare costs of abating nutrient loads under CC in the Difficult Run Watershed located in Fairfax County, Virginia. Predicted costs of abating mean total nitrogen (TN), total phosphorus (TP), and total suspended sediment (TSS) loadings under current climate conditions were compared with those for CC under certainty with a Cost Minimization Model and under uncertainty with a Safety First Model. Total nitrogen loadings abatement had the highest cost followed by TP and TSS abatement in that order. Costs of controlling TP and TSS increased with CC, whereas there was little change in TN control costs. Introducing uncertainty of loadings caused control costs to increase substantially for all three pollutants. The preferred pollutant control strategy was urban stream restoration. Policy makers seeking to meet water quality goals over a multiyear horizon should consider front-loading supplemental best management practices (BMPs) to offset the changes in nutrient loadings predicted for CC.

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Acknowledgments

This work was supported by the National Science Foundation, Water, Sustainability, and Climate Initiative (Grant No. CBET-1360280), and by USDA National Institute of Food and Agriculture (NIFA) Project No. VA-135911. The authors express appreciation to Andrew Ross and Ray Najjar for assistance in generating weather for the regional CC scenario, and to David Sample for assistance with adapting the SWMM model to the study area.

References

Altieri, A. H., and Gedan, K. B. (2015). “Climate change and dead zones.” Global Change Biol., 21(4), 1395–1406.
ArcMap 10.3.1 [Computer software]. ESRI, Redlands, CA.
Aveni, M., et al. (2013). “Recommendations of the expert panel to define removal rates for urban nutrient management.” Chesapeake Stormwater Network, Ellicott City, MD.
Berg, J., et al. (2013). “Recommendations of the expert panel to define removal rates for individual stream restoration projects.” Chesapeake Stormwater Network, Ellicott City, MD.
Bishop, P. L., Hively, W. D., Stedinger, J. R., Rafferty, M. R., Lojpersberger, J. L., and Bloomfield, J. A. (2005). “Multivariate analysis of paired watershed data to evaluate agricultural best management practice effects on stream water phosphorus.” J. Environ. Qual., 34(3), 1087–1101.
Boesch, D. F., Brinsfield, R. B., and Magnien, R. E. (2001). “Chesapeake Bay eutrophication: Scientific understanding, ecosystem restoration, and challenges for agriculture.” J. Environ. Qual., 30(2), 303–321.
Bosch, D. J., Ogg, C., Osei, E., and Stoecker, A. L. (2006). “Economic models for TMDL assessment and implementation.” Trans. ASABE., 49(4), 1051–1065.
Braden, J. B., Johnson, G. V., Bouzaher, A., and Miltz, D. (1989). “Optimal spatial management of agricultural pollution.” Am. J. Agric. Econ., 71(2), 404–413.
Bullock, S., and Merkel, H. (2005). “Low-impact development in the Chesapeake Bay Watershed: Army case studies, challenges, and lessons learned.” Watershed Management Conf., ASCE, Reston, VA, 1–12.
Chesapeake Bay Program. (2015a). “Chesapeake Bay TMDL tracking and accounting system. Water quality: TMDL tracking.” ⟨http://stat.chesapeakebay.net/?q=node/130&quicktabs_10=1⟩ (Jul. 12, 2016).
Chesapeake Bay Program. (2015b). “Stormwater runoff.” ⟨http://www.chesapeakebay.net/issues/issue/stormwater_runoff#inline⟩ (Jul. 12, 2016).
Chichakly, K. J., Bowden, W. B., and Eppstein, M. J. (2013). “Minimization of cost, sediment load, and sensitivity to climate change in a watershed management application.” Environ. Modell. Software, 50(Dec), 158–168.
Commonwealth of Virginia. (2012). “Commonwealth of Virginia Chesapeake Bay TMDL Phase II Watershed Implementation Plan.” ⟨http://www.deq.virginia.gov/Portals/0/DEQ/Water/TMDL/Baywip/vatmdlwipphase2.pdf⟩ (Oct. 5, 2015).
Commonwealth of Virginia, Department of Environmental Quality. (2015). “Guidance Memo No. 15-2005.” Water Division, Richmond, VA.
Devereux, O. H., and Rigelman, J. R. (2014a). “Chesapeake Bay Facility Assessment Scenario Tool (BayFAST).” Devereux Environmental Consulting, Inc., Silver Spring, MD.
Devereux, O. H., and Rigelman, J. R. (2014b). “Chesapeake Bay Facility Assessment Scenario Tool (BayFAST).” Devereux Environmental Consulting, Inc., Silver Spring, MD.
Donner, S., et al. (2015). “Recommendations of the expert panel to define removal rates for street and storm drain cleaning practices.” Chesapeake Stormwater Network, Chesapeake Research Consortium, Virginia Tech, Ellicott City, MD.
Fairfax County. (2007). “Accotink Creek watershed management plan, final.” ⟨http://www.fairfaxcounty.gov/dpwes/watersheds/accotinkcreek.htm.⟩ (Dec. 10, 2015).
Ganeshmal, G. (2014). “Nutrient goals, BayFAST.” Tetra Tech, Inc., Washington, DC.
Hagy, J. D., Boynton, W. R., Keefe, C. W., and Wood, K. V. (2004). “Hypoxia in Chesapeake Bay, 1950–2001: Long-term change in relation to nutrient loading and river flow.” Estuaries, 27(4), 634–658.
Horn, B. K. P. (1981). “Hill shading and the reflectance map.” Proc. IEEE, 69(1), 14–47.
Intergovernmental Panel on Climate Change. (2000). “IPCC special report emissions scenario: Summary for policy makers.” ⟨https://www.ipcc.ch/pdf/special-reports/spm/sres-en.pdf⟩ (Jul. 13, 2016).
Ji, Y., Huang, G. H., and Sun, W. (2014). “Inexact left-hand-side chance-constrained programming for non-point source water quality management.” Water Air Soil Pollut., 225(1895), 14.
Justic, D., Rabalais, N. N., and Turner, R. E. (1996). “Effects of climate change on hypoxia in coastal waters: A doubled CO2 scenario for the northern Gulf of Mexico.” Limnol Oceanogr., 41(5), 992–1003.
Kemp, W. M., et al. (2005). “Eutrophication of Chesapeake Bay: Historical trends and ecological interactions.” Mar. Ecol. Prog. Series, 303, 1–29.
King, D., and Hagan, P. (2011). “Costs of stormwater management practices in Maryland counties.”, Univ. of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, Solomons, MD.
Mearns, L. O., et al. (2009). “A regional climate change assessment program for north America.” Trans. Am. Geophys. Union, 90(36), 311.
Najjar, R. G., et al. (2010). “Potential climate-change impacts on the Chesapeake Bay.” Estuarine Coastal Shelf Sci., 86(1), 1–20.
National Cooperative Soil Survey. (2008). “Glenelg series.” ⟨https://soilseries.sc.egov.usda.gov/OSD_Docs/G/GLENELG.html⟩ (Nov. 29, 2016).
National Cooperative Soil Survey. (2013). “Manor series.” ⟨https://soilseries.sc.egov.usda.gov/OSD_Docs/M/MANOR.html⟩ (Nov. 29, 2016).
Pyke, C., et al. (2011). “Assessment of low impact development for managing stormwater with changing precipitation due to climate change.” Landscape Urban Plann., 103(2), 166–173.
Qiu, Z., Prato, T., and McCamley, F. (2001). “Evaluating environmental risks using Safety-First constraints.” Am. J. Agric. Econ., 83(2), 402–413.
Renschler, C. S., and Lee, T. (2005). “Spatially distributed assessment of short and long-term impacts of multiple best management practices in agricultural watersheds.” J. Soil Water Conserv., 60, 446–457.
Rossman, L. A. (2004). Storm water management model user’s manual, version 5.0, U.S. Environmental Protection Agency, Cincinnati.
Schwabe, K. A. (2001). “Nonpoint source pollution, uniform control strategies, and the Neuse River basin.” Rev. Agric. Econ., 23(2), 352–369.
Scully, M. (2010). “The importance of climate variability to wind-driven modulation of hypoxia in Chesapeake Bay.” J. Phys. Oceanogr., 40(6), 1435–1440.
Semadeni-Davies, A., Hernebring, C., Svensson, G., and Gustafsson, L. (2006). “The impacts of climate change and urbanization on drainage in Helsinborg Sweden: Suburban stormwater.” J. Hydrol., 350(1–2), 114–125.
Tauer, L. W. (1983). “Target MOTAD.” Am. J. Agric. Econ., 65(3), 606–610.
Testa, J. M., et al. (2014). “Quantifying the effects of nutrient loading on dissolved O2 cycling and hypoxia in Chesapeake Bay using a coupled hydrodynamic-biogeochemical model.” J. Mar. Syst., 139, 139–158.
USEPA (U.S. Environmental Protection Agency). (2015c). “Chesapeake Bay TMDL fact sheet.” ⟨https://www.epa.gov/chesapeake-bay-tmdl/chesapeake-bay-tmdl-fact-sheet⟩ (Jul. 13, 2016).
USEPA (U.S. Environmental Protection Agency). (2015d). “Storm water management model reference model. Volume 1—Hydrology.” Office of Research and Development: Water Supply and Water Resources Division, National Risk Management Laboratory, Cincinnati.
Van Houtven, G., Loomis, R., Baker, J., Beach, R., and Casey, S. (2012). “Nutrient credit trading for the Chesapeake Bay: An economic study.” ⟨http://www.chesbay.us/Publications/nutrient-trading-2012.pdf⟩.
Virginia Water Resources Research Center, Virginia Department of Environmental Quality. (2014). “Virginia stormwater BMP clearing house.” ⟨http://www.vwrrc.vt.edu/swc/⟩.
Walker, N. (2006). “Improving stormwater management through low-impact development.” ⟨http://www.fairfaxcounty.gov/nvswcd/newsletter/lidintern.htm⟩.
Wood, R. J., Boesch, D. F., and Kennedy, V. S. (2002). “Future consequences of climate change for the Chesapeake Bay ecosystem and its fisheries.” American Fisheries Society Symp., American Fisheries Society, Bethesda, MD, 171–184.
Woznicki, S. A., Nejadhashemi, A. P., and Smith, C. M. (2011). “Assessing best management practice implementation strategies under climate change scenarios.” Trans. Am. Soc. Agric. Biol. Eng., 54(1), 171–190.
Xie, Y. L., Li, Y. P., Li, Y. F., Huang, G. H., and Chen, L. R. (2011). “An inexact chance-constrained programming model for water quality management in Binhai new area of Tianjin, China.” Sci. Total Environ., 409(10), 1757–1773.
Zhou, Y., Scavia, D., and Michalak, A. M. (2014). “Nutrient loading and meteorological conditions explain interannual variability of hypoxia in Chesapeake Bay.” Limnol. Oceanogr., 59(2), 19.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 9September 2017

History

Received: Sep 21, 2016
Accepted: Jan 30, 2017
Published online: Jul 7, 2017
Published in print: Sep 1, 2017
Discussion open until: Dec 7, 2017

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Authors

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Jonathon M. Giuffria [email protected]
Graduate Research Assistant, Dept. of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA 24060. E-mail: [email protected]
Darrell J. Bosch, Ph.D. [email protected]
Professor, Dept. of Agricultural and Applied Economics, Virginia Tech, 308 Hutcheson Hall, 250 Drillfield Dr., Blacksburg, VA 24060 (corresponding author). E-mail: [email protected]
Daniel B. Taylor, Ph.D. [email protected]
Professor, Dept. of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA 24060. E-mail: [email protected]
Nasrin Alamdari, S.M.ASCE [email protected]
Graduate Research Assistant, Dept. of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060. E-mail: [email protected]

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