Technical Papers
Dec 2, 2016

Upscaling Surface Runoff Routing Processes in Large-Scale Hydrologic Models: Application to the Ohio River Basin

Publication: Journal of Hydrologic Engineering
Volume 22, Issue 4

Abstract

The objective of this research is to reduce scale effects on surface runoff routing processes in coarse-resolution hydrologic models to produce event hydrograph characteristics (peak and timing) similar to those obtained from fine-resolution models. Herein, this concept is referred to as upscaling. The developed upscaling approach combines statistical and physics-based techniques and is applied to the Ohio River Basin using a synthetic 2-year, 24-h runoff experiment. Cumulative distribution functions (CDFs) for surface flow path travel times based on 90-m-resolution digital elevation model (DEM) data and conceptualized model units representing individual catchments in a model are matched by adjusting surface roughness along simulated hillslopes. The travel time CDF for individual catchments based on 90-m DEM data are approximated using the beta distribution to facilitate applications in large watersheds. Nine model resolutions are considered: 1 (reference model resolution), 3.2, 10, 32, 100, 320, 1,000, 3,200, and 10,000  km2, where model resolution corresponds to the threshold area used to define the underlying river network and catchment boundaries. Simulated hydrographs at the outlet for the eight coarser model resolutions have peak discharges and times to peak that are similar to those obtained from the reference model resolution. To match hydrograph characteristics, surface roughness along the hillslope flow paths are adjusted by, on average, 85 to +94%, where the positive values are for the 3.2-km2 resolution and the largest reductions are for the 10,000-km2 resolution.

Get full access to this article

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

Acknowledgments

This research was funded by NASA’s Terrestrial Hydrology Program (Grant No. NNX12AQ36G and NNX14AD82G) and Gravity Recovery and Climate Experiment Science Team Program (Grant No. NNX12AJ95G).

References

ArcGIS 10.2 [Computer software]. ESRI, Redlands, CA.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R. (1998). “Large area hydrologic modeling and assessment—Part 1: Model development.” J. Am. Water Resour. Assoc., 34(1), 73–89.
Atkinson, P. M., and Tate, N. J. (2000). “Spatial scale problems and geostatistical solutions: A review.” Prof. Geogr., 52(4), 607–623.
Bachmair, S., and Weiler, M. (2014). “Interactions and connectivity between runoff generation processes of different spatial scales.” Hydrol. Process., 28(4), 1916–1930.
Beighley, R. E., et al. (2011). “Comparing satellite derived precipitation datasets using the Hillslope River Routing (HRR) model in the Congo River Basin.” Hydrol. Process., 25(20), 3216–3229.
Beighley, R. E., Eggert, K. G., Dunne, T., He, Y., Gummadi, V., and Verdin, K. L. (2009). “Simulating hydrologic and hydraulic processes throughout the Amazon River Basin.” Hydrol. Process., 23(8), 1221–1235.
Beighley, R. E., Eggert, K. G., Wilson, C. J., Rowland, J. C., and Lee, H. (2015). “A hydrologic routing model suitable for climate-scale simulations of arctic rivers: Application to the Mackenzie River Basin.” Hydrol. Process., 29(12), 2751–2768.
Beighley, R. E., and Gummadi, V. (2011). “Developing channel and floodplain dimensions with limited data: a case study in the Amazon Basin.” Earth Surf. Process. Landforms, 36(8), 1059–1071.
Bergstrom, S., and Graham, L. P. (1998). “On the scale problem in hydrological modelling.” J. Hydrol., 211(1-4), 253–265.
Beven, K. J., Kirkby, M. J., Schofield, N., and Tagg, A. F. (1984). “Testing a physically-based flood forecasting-model (Topmodel) for 3 UK catchments.” J. Hydrol., 69(1-4), 119–143.
Bloschl, G. (2001). “Scaling in hydrology.” Hydrol. Process., 15(4), 709–711.
Bloschl, G. (2006). “Hydrologic synthesis: Across processes, places, and scales.” Water Resour. Res., 42(3), W03S02.
Bloschl, G., and Sivapalan, M. (1995). “Scale issues in hydrological modeling—A review.” Hydrol. Process., 9(3-4), 251–290.
Brown, V. A., McDonnell, J. J., Burns, D. A., and Kendall, C. (1999). “The role of event water, a rapid shallow flow component, and catchment size in summer stormflow.” J. Hydrol., 217(3-4), 171–190.
Camporese, M., Paniconi, C., Putti, M., and Orlandini, S. (2010). “Surface-subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data.” Water Resour. Res., 46(2), W02512.
Casey, M. J., Stagge, J. H., Moglen, G. E., and McCuen, R. H. (2015). “Effects of watershed subdivision on peak discharge in rainfall-runoff modeling in the WinTR-20 model.” J. Hydrol. Eng., .
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.
Crow, W. T., et al. (2012). “Upscaling sparse ground-based soil moisture observations for the validation of coarse-resolution satellite soil moisture products.” Rev. Geophys., 50(2), RG2002.
De Roo, A. P. J., Wesseling, C. G., and Van Deursen, W. P. A. (2000). “Physically based river basin modelling within a GIS: The LISFLOOD model.” Hydrol. Process., 14(11–12), 1981–1992.
Di Lazzaro, M., and Volpi, E. (2011). “Effects of hillslope dynamics and network geometry on the scaling properties of the hydrologic response.” Adv. Water Resour., 34(11), 1496–1507.
Ehret, U., et al. (2014). “Advancing catchment hydrology to deal with predictions under change.” Hydrol. Earth Syst. Sci., 18(2), 649–671.
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., 975–983.
Farr, T. G., et al. (2007). “The shuttle radar topography mission.” Rev. Geophys., 45(2), RG2004.
Friedl, M. A., et al. (2002). “Global land cover mapping from MODIS: Algorithms and early results.” Remote Sens. Environ., 83(1–2), 287–302.
Ganjeh-Ghazvini, M., Masihi, M., and Baghalha, M. (2015). “Study of heterogeneity loss in upscaling of geological maps by introducing a cluster-based heterogeneity number.” Phys. A-Stat. Mech. Its Appl., 436, 1–13.
Geza, M., and McCray, J. E. (2008). “Effects of soil data resolution on SWAT model stream flow and water quality predictions.” J. Environ. Manage., 88(3), 393–406.
Ghosh, I., and Hellweger, F. L. (2012). “Effects of spatial resolution in urban hydrologic simulations.” J. Hydrol. Eng., 129–137.
Gleeson, T., and Paszkowski, D. (2014). “Perceptions of scale in hydrology: What do you mean by regional scale?” Hydrol. Sci. J., 59(1), 99–107.
Goodrich, D. C., Lane, L. J., Shillito, R. M., Miller, S. N., Syed, K. H., and Woolhiser, D. A. (1997). “Linearity of basin response as a function of scale in a semiarid watershed.” Water Resour. Res., 33(12), 2951–2965.
Grimaldi, S., Petroselli, A., Alonso, G., and Nardi, F. (2010). “Flow time estimation with spatially variable hillslope velocity in ungauged basins.” Adv. Water Resour., 33(10), 1216–1223.
Gupta, V. K., Rodrâiguez-Iturbe, I., and Wood, E. F. (2012). Scale problems in hydrology runoff generation and basin response, Springer Science and Business Media, Dordrecht, Netherlands.
Horritt, M. S., and Bates, P. D. (2001). “Effects of spatial resolution on a raster based model of flood flow.” J. Hydrol., 253(1–4), 239–249.
Julien, P. Y., and Saghafian, B. (1991). “CASC2D user’s manual: a two-dimensional watershed rainfall-runoff model.” Colorado State Univ., Center for Geosciences, Hydrologic Modeling Group, Fort Collins, CO.
Kim, J., Warnock, A., Ivanov, V. Y., and Katopodes, N. D. (2012). “Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow.” Adv. Water Resour., 37, 104–126.
Klemes, V. (1983). “Conceptualization and scale in hydrology.” J. Hydrol., 65(1-3), 1–23.
Koutsoyiannis, D. (2005). “Uncertainty, entropy, scaling and hydrological stochastics 2: Time dependence of hydrological processes and time scaling.” Hydrol. Sci. J., 50(3), 405–426.
Li, H. Y., et al. (2013). “A physically based runoff routing model for land surface and earth system models.” J. Hydrometeorol., 14(3), 808–828.
Mamillapalli, S., Srinivasan, R., Arnold, J., and Engel, B. A. (1996). “Effect of spatial variability on basin scale modeling.” Proc., 3rd Int. Conf./Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico.
McGlynn, B. L., McDonnell, J. J., Seibert, J., and Kendall, C. (2004). “Scale effects on headwater catchment runoff timing, flow sources, and groundwater-streamflow relations.” Water Resour. Res., 40(7), W07504.
Mejia, A. I. (2013). “Scaling of the network instantaneous response function from basin geomorphology and hydraulic geometry.” J. Hydrol. Eng., 1786–1789.
Merz, R., Parajka, J., and Bloschl, G. (2009). “Scale effects in conceptual hydrological modeling.” Water Resour. Res., 45(9), W09405.
Molnar, D. K., and Julien, P. Y. (2000). “Grid-size effects on surface runoff modeling.” J. Hydrol. Eng., 8–16.
Ogden, F. L., and Dawdy, D. R. (2003). “Peak discharge scaling in small Hortonian watershed.” J. Hydrol. Eng., 64–73.
Ogden, F. L., and Julien, P. Y. (1993). “Runoff sensitivity to temporal and spatial rainfall variability at runoff plane and small basin scales.” Water Resour. Res., 29(8), 2589–2597.
Ostrowski, M. W. (2002). “Modeling urban hydrological processes and management scenarios at different temporal and spatial scales.” Best modeling practices for urban water systems, CHI, Guelph, Canada.
Ozgen, I., Teuber, K., Simons, F., Liang, D. F., and Hinkelmann, R. (2015). “Upscaling the shallow water model with a novel roughness formulation.” Environ. Earth Sci., 74(11), 7371–7386.
Patil, S. D., and Stieglitz, M. (2015). “Comparing spatial and temporal transferability of hydrological model parameters.” J. Hydrol., 525, 409–417.
Ray, R. L., Beighley, R. E., and Yoon, Y. (2016). “Integrating runoff generation and flow routing in Susquehanna River Basin to characterize key hydrologic processes contributing to maximum annual flood events.” J. Hydrol. Eng., .
Rinaldo, A., Marani, A., and Rigon, R. (1991). “Geomorphological dispersion.” Water Resour. Res., 27(4), 513–525.
Robinson, J. S., and Sivapalan, M. (1996). “Instantaneous response functions of overland flow and subsurface stormflow for catchment models.” Hydrol. Process., 10(6), 845–862.
Robinson, J. S., Sivapalan, M., and Snell, J. D. (1995). “On the relative roles of hillslope processes, channel routing, and network geomorphology in the hydrologic response of natural catchments.” Water Resour. Res., 31(12), 3089–3101.
Rotzer, K., et al. (2014). “Catchment scale validation of SMOS and ASCAT soil moisture products using hydrological modeling and temporal stability analysis.” J. Hydrol., 519, 934–946.
Saco, P. M., and Kumar, P. (2002a). “Kinematic dispersion in stream networks—1: Coupling hydraulic and network geometry.” Water Resour. Res., 38(11), 26-1–26-14.
Saco, P. M., and Kumar, P. (2002b). “Kinematic dispersion in stream networks—2: Scale issues and self-similar network organization.” Water Resour. Res., 38(11), 27-1–27-15.
Schaake, J. C., Koren, V. I., Duan, Q. Y., Mitchell, K., and Chen, F. (1996). “Simple water balance model for estimating runoff at different spatial and temporal scales.” J. Geophys. Res.-Atmos., 101(D3), 7461–7475.
Shi, Y. C., Wang, J. D., Qin, J., and Qu, Y. H. (2015). “An upscaling algorithm to obtain the representative ground truth of LAI time series in heterogeneous land surface.” Remote Sens., 7(10), 12887–12908.
Sivapalan, M., Jothityangkoon, C., and Menabde, M. (2002). “Linearity and nonlinearity of basin response as a function of scale: Discussion of alternative definitions.” Water Resour. Res., 38(2), 4-1–4-5.
Skoien, J. O., Bloschl, G., and Western, A. W. (2003). “Characteristic space scales and timescales in hydrology.” Water Resour. Res., 39(10), 11-1–11-19.
Soil Conservation Service. (1973). “A method for estimating volume and rate of runoff in small watersheds.”, U.S. Dept. of Agriculture, Washington, DC.
Soil Conservation Service. (1985). “Hydrology.” Soil conservation service national engineering handbook, U.S. Dept. of Agriculture, Washington, DC.
Soil Conservation Service. (1986). “Urban hydrology for small watersheds.”, U.S. Dept. of Agriculture, Washington, DC.
Sulis, M., Paniconi, C., and Camporese, M. (2011). “Impact of grid resolution on the integrated and distributed response of a coupled surface-subsurface hydrological model for the des Anglais catchment, Quebec.” Hydrol. Process., 25(12), 1853–1865.
Tripathi, M. P., Raghuwanshi, N. S., and Rao, G. P. (2006). “Effect of watershed subdivision on simulation of water balance components.” Hydrol. Process., 20(5), 1137–1156.
Valipour, M. (2015). “Long-term runoff study using SARIMA and ARIMA models in the United States.” Meteorol. Appl., 22(3), 592–598.
Valipour, M. (2016). “Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms.” Meteorol. Appl., 23(1), 91–100.
Valipour, M., and Eslamian, S. (2014). “Analysis of potential evapotranspiration using 11 modified temperature-based models.” Int. J. Hydrol. Sci. Technol., 4(3), 192–207.
Vose, D. (2000). Risk analysis: A quantitative guide, 2nd Ed., Wiley, New York.
Vose, D. (2008). Risk analysis: A quantitative guide, 3rd Ed., Wiley, Hoboken, NJ.
White, D., Johnston, K., and Miller, M. (2005). “Ohio River Basin.” Rivers of North America, Elsevier, Burlington, Massachusetts, 375–424.
Wood, E. F. (1994). “Scaling, soil-moisture and evapotranspiration in runoff models.” Adv. Water Resour., 17(1-2), 25–34.
Wood, E. F., et al. (2011). “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water.” Water Resour. Res., 47(5), W05301.
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.
Wooding, R. A. (1965). “A hydraulic model for the catchment-stream problem. II: Numerical solutions.” J. Hydrol., 3(3), 268–282.
Yoon, Y., and Beighley, E. (2015). “Simulating streamflow on regulated rivers using characteristic reservoir storage patterns derived from synthetic remote sensing data.” Hydrol. Process., 29(8), 2014–2026.
Yu, Z. B., et al. (2014). “Spatial and temporal scale effect in simulating hydrologic processes in a watershed.” J. Hydrol. Eng., 99–107.
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 22Issue 4April 2017

History

Received: Feb 19, 2016
Accepted: Aug 30, 2016
Published online: Dec 2, 2016
Published in print: Apr 1, 2017
Discussion open until: May 2, 2017

Permissions

Request permissions for this article.

Authors

Affiliations

Yuanhao Zhao [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA 02135 (corresponding author). E-mail: [email protected]
Edward Beighley, Ph.D., M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA 02135. 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