TECHNICAL PAPERS
Apr 2, 2011

Effects of Spatial Resolution in Urban Hydrologic Simulations

Publication: Journal of Hydrologic Engineering
Volume 17, Issue 1

Abstract

Model subdivision is used to capture spatial heterogeneity in input parameters and it is well-established that spatial resolution (i.e., degree of aggregation) affects model output. However, a general consensus about the effect does not exist. The objective of this study was to investigate the effects of spatial resolution on model predictions in an urban catchment, and to understand the mechanism(s) responsible for the scale effect. The general approach is to develop models at various spatial resolutions, perform simulations, and compare the predictions of total outflow volume and peak flow. Models were developed on the basis of actual drainage networks, and artificial ones generated on the basis of a fractal algorithm by using the Artificial Network Generator (ANGel). Simulations were performed by using the EPA Storm Water Management Model (SWMM), and model output was compared for 50 storms. There was very little difference in the total annual outflow volumes predicted by the different resolutions. However, peak flows showed a dual scale effect. For the larger storms, model aggregation reduced peak flows, which can be explained by differences in infiltration. This effect was attributed primarily to the spatial distribution of the soil-saturated hydraulic conductivity and the length of overland flow. For the smaller storms, aggregation increased peak flows, which can be explained by the combined effects of overland flow and conduit routing. The results were consistent using actual and artificial networks. This study illustrates that a scale effect can be introduced by different processes, which can go in different directions (i.e. increase or decrease peak flows) and depend on the storm characteristics.

Get full access to this article

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

References

Amorocho, J. (1961). “Discussion on ‘Predicting storm runoff on small experimental watersheds,’ by N. E. Minshall.” J. Hydraul. Div., 87(HY2), 185–191.
Ao, T. Q., Yoshitani, J., Takeuchi, K., Fukami, K., Mutsuura, T., and Ishidaira, H. (2003). “Effects of sub-basin scale on runoff simulation in distributed hydrological model: BTOPMC.” Proc., Weather radar information and distributed hydrological modeling, IAHS-AISH Publication No. 282, International Association of Hydrological Sciences, Wallingford, U.K., 227–233.
Bingner, R. L., Garbrecht, J., Arnold, J. G., and Srinivasan, R. (1997). “Effect of watershed subdivision on simulation runoff and fine sediment yield.” Trans. ASAE, 40(5), 1329–1335.
Chaplot, V. (2005). “Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO3-N loads predictions.” J. Hydrol., 312(1–4), 207–222.
Chaubey, I., Cotter, A. S., Costello, T. A., and Soerens, T. S. (2005). “Effect of DEM data resolution on SWAT output uncertainty.” Hydrol. Process, 19(3), 621–628.
Cleveland, T. G., Luong, T., and Thompson, D. B. (2009). “Water subdivision for modeling.” Proc., ASCE World Environmental and Water Resources Congress 2009, ASCE, Reston, VA, 661.
Elliott, A. H., Trowsdale, S. A., and Wadhwa, S. (2009). “Effect of aggregation of on-site storm-water control devices in an urban catchment model.” J. Hydrol. Eng., 14(9), 975–983.
Ghosh, I., Hellweger, F. L., and Fritch, T. G. (2006). “Fractal generation of artificial sewer networks for hydrologic simulations.” Proc., 2006 ESRI International User Conf., Environmental Systems Research Institute (ESRI), Redlands, CA.
Goodrich, D. C., Woolhiser, D. A., and Sorooshian, S. (1988). “Model complexity required to maintain hydrologic response.” Proc., 1988 National Conf., ASCE, HY Division, Reston, VA.
Green, W. H., and Ampt, G. A. (1911). “Studies on soil physics, 1. The flow of air and water through soils.” J. Agric. Sci., 4(1), 11–24.
James, W., et al. (2005). User’s guide to SWMM, Computational Hydraulics International, Guelph, Ontario, Canada.
Jha, M., Gassman, P. W., Secchi, S., Gu, R., and Arnold, J. (2004). “Effect of watershed subdivision on swat flow, sediment, and nutrient predictions.” J. Am. Water Resour. Assoc., 40(3), 811–825.
Kalin, L., Govindaraju, R. S., and Hantush, M. M. (2003). “Effect of geomorphologic resolution on modeling of runoff hydrograph and sedimentograph over small watersheds.” J. Hydrol., 276(1–4), 89–111.
Kronaveter, L., Shamir, U., and Kessler, A. (2001). “Water-sensitive urban planning: Modeling on-site infiltration.” J. Water Res. Plann. Manage., 127(2), 78–88.
Kumar, S., and Merwade, V. (2009). “Impact of watershed subdivision and soil data resolution on SWAT model calibration and parameter uncertainty1.” J. Am. Water Resour. Assoc., 45(5), 1179–1196.
Mein, R. G., and Larson, C. L. (1973). “Modeling infiltration during a steady rain.” Water Resour. Res., 9(2), 384–394.
Metcalf & Eddy, I., Univ. of Florida and Water Resources Engineers, Inc. (1971). “Storm water management model volume 1—Final Report.” Rep. No. 11024 DC07/71, Environmental Protection Agency, WA, DC, 63–76.
Minshall, N. E. (1960). “Predicting storm runoff on small experimental watershed.” J. Hydraul. Div., 86(HY8), 17–38.
Muleta, M. K., Nicklow, J. W., and Bekele, E. G. (2007). “Sensitivity of a distributed watershed simulation model to spatial scale.” J. Hydrol. Eng., 12(2), 163–172.
Norris, G., and Haan, C. T. (1993). “Impact of subdividing watersheds on estimated hydrographs.” Appl. Eng. Agric., 9(5), 443–445.
Park, S. Y., Lee, K. W., Park, I. H., and Ha, S. R. (2008). “Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation.” Desalination, 226(1–3), 328–337.
Peschel, J. M., Haan, P. K., and Lacey, R. E. (2006). “Influences of soil dataset resolution on hydrologic modeling.” J. Am. Water Resour. Assoc., 42(5), 1371–1389.
Proctor and Redfern Ltd., and James F. MacLaren Ltd. (1976). “Stormwater management model study Volume 1—Final report.” Rep. No. 47, Canada Ontario Research Program, Environmental Protection Service, Environment Canada, Ottawa, 190–227.
Rossman, L. A. (2005). “Storm water management model user’s manual version 5.0.” Rep. No. EPA/600/R-05/040, U.S. Environmental Protection Agency, Water Supply and Water Resources Division, National Risk Management Research Laboratory, Cincinnati.
Stephenson, D. (1989). “Selection of stormwater model parameters.” J. Environ. Eng., 115(1), 210–220.
TR-55. (1986). “Urban hydrology for small watersheds.” Rep. No. 210-IV-TR-55, U.S. Dept. of Agriculture, Natural Resources Conservation Service, Conservation Engineering Division.
Tripathi, M. P., Raghuwanshi, N. S., and Rao, G. P. (2006). “Effect of watershed subdivision on simulation of water balance components.” Hydrol. Processes, 20(5), 1137–1156.
USDA. (2008). “Soil survey geographic (SSURGO) database for middlesex and norfolf-suffolk areas, Massachusetts.” Soil Survery Staff, Natural Resources Conservation Service, U.S. Dept. of Agriculture. 〈http://soildatamart.nrcs.usda.gov/〉 (Dec. 8, 2008).
Warwick, J. J., and Litchfield, J. (1993). “Impact of spatial and temporal data limitations on the modeling of runoff quantity and quality.” Proc., 20th Aniversary Conf. Water Management in the 90’s: A time for innovation, ASCE, NY, 862–865.
Wolock, D. M., and Price, C. V. (1994). “Effects of digital elevation model map scale and data resolution on a topography-based watershed model.” Water. Resour. Res., 30(11), 3041–3052.
Wood, E. F., Sivapalan, M., Beven, K., and Band, L. (1988). “Effects of spatial variability and scale with implications to hydrologic modeling.” J. Hydrol., 102(1-4), 29–47.
Zaghloul, N. A. (1981). “SWMM model and level of discretization.” J. Hydraul. Div., 107(11), 1535–1545.
Zarriello, P. J., and Barlow, L. K. (2002). “Measured and simulated runoff to the lower Charles river, Massachusetts, October 1999–September 2000.” Rep. No. 02-4129, USGS, Northborough, MA.
Zhang, W. H., and Montgomery, D. R. (1994). “Digital elevation model grid size, landscape representation, and hydrologic simulations.” Water Resour. Res., 30(4), 1019–1028.

Information & Authors

Information

Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 17Issue 1January 2012
Pages: 129 - 137

History

Received: Aug 3, 2010
Accepted: Mar 31, 2011
Published online: Apr 2, 2011
Published in print: Jan 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

Indrani Ghosh [email protected]
Kleinfelder/SEA Consultants, 215 First St., Suite 320, Cambridge, MA 02142; formerly, Ph.D. Student, Civil & Environmental Engineering Dept., 400 Snell Engineering Center, Northeastern Univ., Boston, MA 02115. E-mail: [email protected]
Ferdi L. Hellweger [email protected]
Assistant Professor, Civil & Environmental Engineering Dept., 400 Snell Engineering Center, Northeastern Univ., Boston, MA 02115 (corresponding author). E-mail: [email protected]

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