Case Studies
Nov 2, 2015

Regionalization of Flow-Duration Curves through Catchment Classification with Streamflow Signatures and Physiographic–Climate Indices

Publication: Journal of Hydrologic Engineering
Volume 21, Issue 3

Abstract

This study addresses the estimation of flow-duration curves (FDC) in ungauged sites through the catchment classification. Forty-six catchments in the Upper Po river basin (Italy) were analyzed and classified through two different frameworks: the first scheme consists of the application of two clustering methods in a series considering six streamflow signatures, and the second one treats indexes of climate, physiography, soil, and land-use with the same clustering procedure. Catchments have been classified into three homogeneous groups: the first one is characterized by the lowest runoff and flash-flood events, the second one includes maximum runoff, and the third one shows intermediate behaviour. The estimation of FDCs was done using a lognormal distribution, whereas the regionalization was constructed applying a stepwise multiple linear regression, followed by a leave-one-out cross-validation. The results show great performance improvement when the regionalization model is found by taking account of the three different hydrological classes, with a mean absolute percentage error that decreases from 11% for the single region case to 7% in the three homogeneous regions case.

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Acknowledgments

The authors acknowledge ARPA Piemonte (Regional Environment Protection Agency) for meteorological and flow data, and digital cartography. Elena Toth is thankfully acknowledged for her helpful suggestions and comments on this work.

References

Acreman, M. C., and Sinclair, C. D. (1986). “Classification of drainage basins according to their physical characteristics: An application for flood frequency analysis in Scotland.” J. Hydrol., 84(3), 365–380.
Booker, D. J., and Snelder, T. H. (2012). “Comparing methods for estimating flow duration curves at ungauged sites.” J. Hydrol., 434–435, 78–94.
Boscarello, L., Ravazzani, G., and Mancini, M. (2013). “Catchment multisite discharge measurements for hydrological model calibration.” Procedia Environ. Sci., 19, 158–167.
Brath, A., Castellarin, A., Franchini, M., and Galeati, G. (2001). “Estimating the index flood using indirect methods.” Hydrol. Sci. J., 46(3), 399–418.
Castellarin, A., Camorani, G., and Brath, A. (2007). “Predicting annual and long-term flow-duration curves in ungauged basins.” Adv. Water Resour., 30(4), 937–953.
Castellarin, A., Claps, P., Troch, P. A., Wagener, T., and Woods, R. (2011). “Catchment classification and PUB.” Hydrol. Earth Syst. Sci., in press.
Castellarin, A., Galeati, G., Brandimarte, L., Montanari, A., and Brath, A. (2004). “Regional flow-duration curves: Reliability for ungauged basins.” Adv. Water Resour., 27(10), 953–965.
Chapman, T. (1999). “A comparison of algorithms for stream flow recession and baseflow separation.” Hydrol. Processes, 13(5), 701–714.
Cheng, L., Yaeger, M., Viglione, A., Coopersmith, E., Ye, S., and Sivapalan, M. (2012). “Exploring the physical controls of regional patterns of flow duration curves—Part 1: Insights from statistical analyses.” Hydrol. Earth Syst. Sci., 16(11), 4435–4446.
Claps, P., and Fiorentino, M. (1997). “Probabilistic flow duration curves for use in environmental planning and management.” Integrated approach to environmental data management systems, Harmancioglu, Springer, Netherlands, 255–266.
Clausen, B., and Biggs, B. J. F. (2000). “Flow variables for ecological studies in temperate streams: Grouping based on covariance.” J. Hydrol., 237(3–4), 184–197.
Coopersmith, E., Yaeger, M. A., Ye, S., Cheng, L., and Sivapalan, M. (2012). “Exploring the physical controls of regional patterns of flow duration curves. Part 3: A catchment classification system based on regime curve indicators.” Hydrol. Earth Syst. Sci., 16(11), 4467–4482.
Di Prinzio, M., Castellarin, A., and Toth, E. (2011). “Data-driven catchment classification: Application to the pub problem.” Hydrol. Earth Syst. Sci., 15(6), 1921–1935.
Efron, B. (1982). “The jackknife, the bootstrap and other resampling plans.” Society for industrial and applied mathematics, SIAM, PA.
Fennessey, N., and Vogel, R. (1990). “Regional flow-duration curves for ungauged sites in Massachusetts.” J. Water Resour. Plann. Manage., 530–549.
Galelli, S., and Castelletti, A. (2013). “Tree based iterative input variable selection for hydrological modeling.” Water Resour. Res., 49(7), 4295–4310.
Ganora, D., Claps, P., Laio, F., and Viglione, A. (2009). “An approach to estimate non-parametric flow duration curves in ungauged basins.” Water Resour. Res., 45(10), W10418.
Hall, M., and Minns, A. (1999). “The classification of hydrologically homogeneous regions.” Hydrol. Sci. J., 44(5), 693–704.
Hannah, D. M., Kansakar, S. R., Gerrard, A. J., and Rees, G. (2005). “Flow regimes of Himalayan rivers of Nepal: Nature and spatial patterns.” J. Hydrol., 308(1–4), 18–32.
Hellebrand, H., Müller, C., Matgen, P., Fenicia, F., and Savenije, H. (2011). “A process proof test for model concepts: Modeling the meso-scale.” Phys. Chem. Earth, 36(1–4), 42–53.
Herbst, M., and Casper, C. (2008). “Towards model evaluation and identification using self-organizing maps.” Hydrol. Earth Syst. Sci., 12(2), 657–667.
Köplin, N., Schädler, B., Viviroli, D., and Weigartner, R. (2012). “Relating climate change signals and physiographic catchment properties to clustered hydrological response types.” Hydrol. Earth Syst. Sci., 16(7), 2267–2283.
Ley, R., Casper, M. C., Hellebrand, H., and Merz, R. (2011). “Catchment classification by runoff behavior with self-organizing maps (SOM).” Hydrol. Earth Syst. Sci., 15(9), 2947–2962.
Li, M., Shao, Q., Zhang, L., and Chiew, F. H. S. (2010). “A new regionalization approach and its application to predict flow duration curve in ungauged basins.” J. Hydrol., 389(1–2), 137–145.
Mendicino, G., and Senatore, A. (2013). “Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes.” J. Hydrol., 480, 19–32.
Nash, J., and Sutcliffe, J. V. (1970). “River flow forecasting through the conceptual models. Part 1: A discussion of principles.” J. Hydrol., 10(3), 282–290.
Olden, J. D., and Poff, N. L. (2003). “Redundancy and the choice of hydrologic indices for characterizing streamflow regimes.” River Res. Appl., 19(2), 101–121.
Oudin, L., Andréassian, V., Perrin, C., Michel, C., and Le Moine, N. (2008). “Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments.” Water Resour. Res., 44(3), W03413.
Patil, S., and Stieglitz, M. (2014). “Modelling daily streamflow at ungauged catchments: What information is necessary?” Hydrol. Processes, 28(3), 1159–1169.
Priestley, C. H. B., and Taylor, R. (1972). “On the assessment of surface heat flux and evaporation using large-scale parameters.” Mon. Weather Rev., 100(2), 81–92.
Razavi, T., and Coulibaly, P. (2013). “Classification of Ontario watersheds based on physical attributes and streamflow series.” J. Hydrol., 493, 81–94.
Sanborn, S. C., and Bledsoe, B. P. (2006). “Predicting streamflow regime metrics for ungauged streams in Colorado, Washington, and Oregon.” J. Hydrol., 325(1-4), 241–261.
Sawicz, K., Wagener, T., Sivapalan, M., Troch, P. A., and Carrillo, G. (2011). “Catchment classification: Empirical analysis of hydrologic similarity based on catchment function in the eastern U.S.” Hydrol. Earth Syst. Sci., 15(9), 2895–2911.
Ssegane, H., Tollner, E. W., Mohamoud, Y. M., Rasmussen, T. C., and Dowd, J. F. (2012). “Advances in variable selection methods II: Effect of variable selection method on classification of hydrologically similar watersheds in three Mid-Atlantic ecoregions.” J. Hydrol., 438, 26–38.
Sylvain, A., and Celisse, A. (2010). “A survey of cross-validation procedures for model selection.” Stat. Surveys, 4, 40–79.
Tan, P. N., Steinbach, M., and Kumar, V. (2006). Introduction to data mining, Vol. 1, Pearson Addison Wesley, Boston.
Toth, E. (2013). “Catchment classification based on characterization of streamflow and precipitation time series.” Hydrol. Earth Syst. Sci., 17(3), 1149–1159.
Vesanto, J., and Alhoniemi, E. (2000). “Clustering of the self-organizing map.” IEEE Trans. Neural Networks, 11(3), 586–600.
Vezza, P., Comoglio, C., Rosso, M., and Viglione, A. (2010). “Low flows regionalization in north-western Italy.” Water Resour. Manage., 24(14), 4049–4074.
Viglione, A., Claps, P., and Laio, F. (2006). “Utilizzo di criteri di prossimità nell’analisi regionale del deflusso annuo.” Proc., Italian Conf. on Hydraulic and Hydraulic Constructions, Rome.
Viola, F., Noto, L. V., Cannarozzo, M., and La Loggia, G. (2011). “Regional flow duration curves for ungauged sites in sicily.” Hydrol. Earth Syst. Sci., 15(1), 323–331.
Wallner, M., Haberlandt, U., and Dietrich, J. (2013). “A one-step similarity approach for the regionalization of hydrological model parameters based on self-organizing maps.” J. Hydrol., 494, 59–71.
Winter, T. C. (2001). “The concept of hydrologic landscapes.” J. Am. Water Resour. Asssoc., 37(2), 335–349.
Yadav, M., Wagener, T., and Gupta, H. (2007). “Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins.” Adv. Water Resour., 30(8), 1756–1774.
Ye, S., Yaeger, M., Coopersmith, E., Cheng, L., and Sivapalan, M. (2012). “Exploring the physical controls of regional patterns of flow duration curves. Part 2: Role of seasonality, the regime curve, and associated process controls.” Hydrol. Earth Syst. Sci., 16(11), 4447–4465.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 21Issue 3March 2016

History

Received: Oct 20, 2014
Accepted: Aug 21, 2015
Published online: Nov 2, 2015
Published in print: Mar 1, 2016
Discussion open until: Apr 2, 2016

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Authors

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Laura Boscarello [email protected]
Doctoral Researcher, Dept. of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy. E-mail: [email protected]
Giovanni Ravazzani [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy (corresponding author). E-mail: [email protected]
Alessio Cislaghi [email protected]
Student, Politecnico di Milano, 20133 Milan, Italy. E-mail: [email protected]
Marco Mancini [email protected]
Professor, Dept. of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy. E-mail: [email protected]

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