Technical Papers
Sep 27, 2013

Innovative Technologies for Storm-Water Management Programs in Small Urbanized Areas

Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 11

Abstract

Small urbanized areas (UAs) as defined by the U.S. Census and the Environmental Protection Agency (EPA) have a population between 50,000 and 100,000, and a population density of at least 1,000 people per square mile. Under Phase II of the National Pollutant Discharge Elimination System, storm-water managers in these UAs must preserve predevelopment hydrology through compliance with qualitative regulations—an often impracticable task given the limited resources of these municipal authorities and the diffuse hydrologic impacts of urbanization. The objective of this paper is to assist storm-water managers by providing a geographic information system (GIS) workflow supported by Python scripting that produces a geographic database of storm-water infrastructure that can subsequently be used to create a fully parameterized hydrologic/hydraulic model. Guidance on calibrating this model is then provided with suggestions for measuring discharge in storm sewer systems. The application of these objectives is demonstrated in a watershed in Blacksburg, Virginia, where a unique municipal-academic partnership fostered the development of this work. Finally, improvements and further research ideas are suggested for storm-water management in small UAs.

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Acknowledgments

The work described in this publication was supported by the Town of Blacksburg, Virginia. The ideas presented are the authors’ views, and not those of the Town of Blacksburg.

References

Amaguchi, H., Kawamura, A., Olsson, J., and Takasaki, T. (2012). “Development and testing of a distributed urban storm runoff event model with a vector-based catchment delineation.” J. Hydrol., 420–421, 205–215.
ArcGIS 10.1 [Computer software]. Environmental Systems Research Institute (ESRI), Redlands, CA.
ArcPad 7.1.1 [Computer software]. Environmental Systems Research Institute (ESRI), Redlands, CA.
Baker, M. E., Weller, D. E., and Jordan, T. E. (2006). “Comparison of automated watershed delineations: Effects on land cover areas, percentages, and relationships to nutrient discharge.” Photogramm. Eng. Remote Sens., 72(2), 159–168.
Borah, D. K., and Bera, M. (2003). “Watershed-scale hydrologic and nonpoint-source pollution models: Review of mathematical bases.” Trans. ASAE, 46(6), 1553–1566.
Borah, D. K., and Bera, M. (2004). “Watershed-scale hydrologic and nonpoint-source pollution models: Review of applications.” Trans. ASAE, 47(3), 789–804.
Bryan, B. A. (2013). “High-performance computing tools for the integrated assessment and modelling of social–ecological systems.” Environ. Model. Softw., 39, 295–303.
Burns, M. J., Fletcher, T. D., Walsh, C. J., Ladson, A. R., and Hatt, B. E. (2012). “Hydrologic shortcomings of conventional urban stormwater management and opportunities for reform.” Landsc. Urban Plann., 105(3), 230–240.
Clark, M. J. (1998). “Putting water in its place: A perspective on GIS in hydrology and water management.” Hydrol. Proces., 12(6), 823–834.
Emerson, C. H., Welty, C., and Traver, R. G. (2005). “Watershed-scale evaluation of a system of storm water detention basins.” J. Hydrol. Eng., 237–242.
Fletcher, T. D., Andrieu, H., and Hamel, P. (2013). “Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art.” Adv. Water Resour., 51, 261–279.
Gironás, J., Niemann, J. D., Roesner, L. A., Rodriguez, F., and Andrieu, H. (2010). “Evaluation of methods for representing urban terrain in storm-water modeling.” J. Hydrol. Eng., 1–14.
Halfawy, M. R. (2008). “Integration of municipal infrastructure asset management processes: Challenges and solutions.” J. Comput. Civ. Eng., 216–229.
Harmel, R. D., and Smith, P. K. (2007). “Consideration of measurement uncertainty in the evaluation of goodness-of-fit in hydrologic and water quality modeling.” J. Hydrol., 337(3–4), 326–336.
Harmel, R. D., Smith, P. K., and Migliaccio, K. W. (2010). “Modifying goodness-of-fit indicators to incorporate both measurement and model uncertainty in model calibration and validation.” Trans. ASABE, 53(1), 55–63.
Hodgson, M. E., and Bresnahan, P. (2004). “Accuracy of airborne lidar-derived elevation: Empirical assessment and error budget.” Photogramm. Eng. Remote Sens., 70(3), 331–339.
ISCO. (2011). “2150 area velocity flow module and sensor—Installation and operation guide.” Teledyne ISCO.
James, M. B., and Dymond, R. L. (2012). “Bioretention hydrologic performance in an urban stormwater network.” J. Hydrol. Eng., 431–436.
Jin, M., Coran, S., and Cook, J. (2002). “New one-dimensional implicit numerical dynamic sewer and storm model.” Proc., 9th Int. Conf. Urban Drainage–Global Solutions for Urban Drainage, ASCE, Reston, VA, 1–9.
Kirchner, J. W. (2006). “Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology.” Water Resour. Res., 42(3).
Klemeš, V. (1986). “Operational testing of hydrological simulation models.” Hydrol. Sci. J., 31(1), 13–24.
Larrarte, F., Bernard Bardiaux, J., Battaglia, P., and Joannis, C. (2008). “Acoustic Doppler flow-meters: A proposal to characterize their technical parameters.” Flow Meas. Instrum., 19(5), 261–267.
Leopold, L. B. (1968). Hydrology for urban land planning—A guidebook on the hydrologic effects of urban land use, U.S. Dept. of the Interior, Washington, DC.
Li, J., and Wong, D. W. (2010). “Effects of DEM sources on hydrologic applications.” J. Comput. Environ. Urban Syst., 34(3), 251–261.
Lutz, M. (1996). Programming python, 1st Ed., O’Reilly, Sebastopol, CA.
McCuen, R. H., and Moglen, G. E. (1988). “Multicriterion stormwater management methods.” J. Water Resour. Plann. Manage., 414–431.
Miller, S., et al. (2007). “The automated geospatial watershed assessment tool.” Environ. Model. Software, 22(3), 365–377.
Moglen, G. E., and Hartman, G. L. (2001). “Resolution effects on hydrologic modeling parameters and peak discharge.” J. Hydrol. Eng., 490–497.
Moriasi, D. N., et al. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE, 50(3), 885–900.
Nash, J., and Sutcliffe, J. (1970). “River flow forecasting through conceptual models part I—A discussion of principles.” J. Hydrol., 10(3), 282–290.
Olsson, J., Amaguchi, H., Alsterhag, E., Dåverhög, M., Adrian, P.-E., and Kawamura, A. (2013). “Adaptation to climate change impacts on urban storm water: A case study in Arvika, Sweden.” Clim. Change, 116(2), 231–247.
Pitt, R., et al. (1999). Guidance manual for integrated wet weather flow (WWF) collection and treatment systems for newly urbanized areas (New WWF Systems), National Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH.
Pitt, R., and Clark, S. E. (2008). “Integrated storm-water management for watershed sustainability.” J. Irrig. Drain. Eng., 548–555.
Schueler, T. R. (1987). Controlling urban runoff: A practical manual for planning and designing urban BMPs, Dept. of Environmental Programs, Metropolitan Washington Council of Governments, Washington, DC.
SCS. (1972). “Section 4: Hydrology.” National Engineering Handbook, USDA Soil Conservation Service, Washington, DC.
SewerGEMs v8i [Computer software]. Bentley Systems, Exton, PA.
Sui, D. Z., and Maggio, R. C. (1999). “Integrating GIS with hydrological modeling: Practices, problems, and prospects.” J. Comput. Environ. Urban Syst., 23(1), 33–51.
USEPA. (1999). National pollutant discharge elimination system—Regulations for revision of the water pollution control program addressing storm water discharges, U.S. Environmental Protection Agency, Washington, DC.
USEPA. (2010). MS4 permit improvement guide, U.S. Environmental Protection Agency, Office of Water, Washington, DC.
Vanier, D. (2001). “Why industry needs asset management tools.” J. Comput. Civ. Eng., 35–43.
VanRossum, G. (2013). “Python programming language.” The Python Software Foundation, 〈http://www.python.org/〉 (Mar. 18, 2013).
Wang, L., and Yu, J. (2012). “Modelling detention basins measured from high-resolution light detection and ranging data.” Hydrolog. Proces., 26(19), 2973–2984.
White, C. M. (2011). “Analysis and comparison of a detailed land cover dataset versus the national land cover dataset (NLCD) in Blacksburg, Virginia.” Master’s thesis, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.
White, S. S., and Boswell, M. R. (2006). “Planning for water quality: Implementation of the NPDES phase II stormwater program in California and Kansas.” J. Environ. Plann. Manage., 49(1), 141–160.
Whiteaker, T. L., Maidment, D. R., Goodall, J. L., and Takamatsu, M. (2006). “Integrating arc hydro features with a schematic network.” Trans. GIS, 10(2), 219–237.
Yang, C. T. (1996). Sediment transport: Theory and practice, McGraw-Hill, New York.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 140Issue 11November 2014

History

Received: Jul 8, 2013
Accepted: Sep 25, 2013
Published online: Sep 27, 2013
Discussion open until: Oct 16, 2014
Published in print: Nov 1, 2014

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Authors

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Marcus F. Aguilar, A.M.ASCE [email protected]
Graduate Research Assistant, Via Dept. of Civil and Environmental Engineering, Virginia Tech, 200 Patton Hall, Blacksburg, VA 24060 (corresponding author). E-mail: [email protected]
Randel L. Dymond, M.ASCE [email protected]
P.E.
Associate Professor, Via Dept. of Civil and Environmental Engineering, Virginia Tech, 200 Patton Hall, Blacksburg, VA 24060. E-mail: [email protected]

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