Data-driven catchment classification: Application to the pub problem

Hydrology and Earth System Sciences

Volumn 15, Issue 6, 2011, Pages 1921-1935

  Di Prinzio, M ^a   Castellarin, A ^a   Toth, E ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL RUNOFF; CANONICAL CORRELATION ANALYSIS; CROSS VALIDATION; DATA-DRIVEN; DESCRIPTORS; EXCEEDANCE PROBABILITY; FLOOD QUANTILES; HYDROLOGICAL PREDICTION; INPUT DATAS; NONLINEAR TECHNIQUES; UNGAUGED BASINS; UNSUPERVISED NEURAL NETWORKS;

FORECASTING; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; RUNOFF; STREAM FLOW;

CATCHMENTS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BASIN; CANONICAL ANALYSIS; CATCHMENT; DATA SET; FLOOD; LINEARITY; PRINCIPAL COMPONENT ANALYSIS; RUNOFF; SOIL ORGANIC MATTER; STREAMFLOW;

EID: 79960376145     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-15-1921-2011     Document Type: Article

References (53)

1. Acreman, M. C. and Sinclair, C. D.: Classification of drainage basins according to their physical characteristics and application for flood frequency analysis in Scottland, J. Hydrol., 84(3), 365-380, 1986. (Pubitemid 16585047)
2. Bai, Y., Wagener, T., and Reed, P.: A top-down framework for watershed model evaluation and selection under uncertainty, Environ. Modell. Softw., 24(8), 901-916, doi:10.1016/j.envsoft.2008.12.012, 2009.
3. Bárdossy, A.: Calibration of hydrological model parameters for ungauged catchments, Hydrol. Earth Syst. Sci., 11, 703-710, doi:10.5194/hess-11- 703-2007, 2007. (Pubitemid 46134825)
4. Brath, A., Castellarin, A., Franchini, M., and Galeati, G.: Estimating the index flood using indirect methods, Hydrolog. Sci. J., 46(3), 399-418, 2001. (Pubitemid 32550647)
5. Brath, A., Castellarin, A., and Montanari, A.: Assessing the reliability of regional depth-duration-frequency equations for gaged and ungaged sites, Water Resour. Res., 39(12), 1367, doi:10.1029/2003WR002399, 2003.
6. Burn, D. H.: Cluster analysis as applied to regional flood frequency, J. Water Res. Pl., 115(6), 567-582, 1989.
7. Castellarin, A.: Application of probabilistic envelope curves for design-flood estimation at ungaged sites,Water Resour. Res., 43, W04406, doi:10.1029/2005WR004384, 2007. (Pubitemid 46799513)
8. Castellarin, A., Burn, D. H., and Brath, A.: Assessing the effectiveness of hydrological similarity measures for regional flood frequency analysis, J. Hydrol., 241(3-4), 270-285, 2001. (Pubitemid 32119735)
9. Castellarin, A., Galeati, G., Brandimarte, L., Brath, A., and Montanari, A.: Regional flow-duration curve: Realiability for ungauged basins, Adv. Water Res., 27(10), 953-965, 2004. (Pubitemid 39407966)
10. Castiglioni, S., Lombardi, L., Toth, E., Castellarin, A., and Montanari, A.: Calibration of rainfall-runoff models in ungauged basins: A regional maximum likelihood approach, Adv. Water Resour., 33(10), 1235-1242, doi:10.1016/j.advwatres.2010.04.009, 2010.
11. Castiglioni, S., Castellarin, A., Montanari, A., Skøien, J. O., Laaha, G., and Blöschl, G.: Smooth regional estimation of low-flow indices: Physiographical space based interpolation and top-kriging, Hydrol. Earth Syst. Sci., 15, 715-727, doi:10.5194/hess-15-715-2011, 2011.
12. Céréghino, R. and Park, Y. S.: Review of the Self-Organizing Map (SOM) approach in water resources: Commentary, Environ. Modell. Softw., 24(8), 945-947, 2009.
13. Chokmani, K. and Ouarda, T. B. M. J.: Physiographical space-based kriging for regional flood frequency estimation at ungauged sites, Water Resour. Res., 40(12), W12514, doi:10.1029/2003WR002983, 2004.
14. Claps and the CUBIST Team: Development of an Information System of the Italian basins for the CUBIST project, Geophysical Research Abstracts, 10, 2008.
15. Dawson, C. W. and Wilby, R. L.: Hydrological modelling using artificial neural networks, Prog. Phys. Geog., 25(1), 80-108, 2001. (Pubitemid 33028258)
16. Dooge, J. C. I.: Looking for hydrologic laws, Water Resour. Res., 22(9), 46-58, 1986.
17. Efron, B.: The Jackknife the Bootstrap and Other Resampling Plans. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania, 1982.
18. Gupta, H., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377(1-2), 80-91, 2009.
19. Hall, M. J. and Minns, A. W.: The classification of hydrologically homogeneous regions, Hydrol. Sci. J., 44(6), 693-704, 1999. (Pubitemid 30037320)
20. Hosking, J. R. M.: L-moments: Analysis and estimation of distributions using linear combinations of order statistics, J. Roy. Stat. Soc. B, 52, 105-124, 1990.
21. Hosking, J. R. M. and Wallis, J. R.: Regional Frequency Analysis, Cambridge: Cambridge University Press, 1997.
22. Hubert, L. and Arabie, P.: Comparing partitions, J. Classif., 2, 193-218, 1985.
23. Hundecha, Y., Ouarda, T. B. M. J., and Bárdossy, A.: Regional estimation of parameters of a rainfall-runoff model at ungauged watersheds using the "spatial" structures of the parameters within a canonical physiographic-climatic space, Water Resour. Res., 44, W01427, doi:10.1029/2006WR005439, 2008. (Pubitemid 351304152)
24. ISPRA -DDS (Department for Soil Protection, former Geological Survey of Italy): The new Geological Map of Italy, 1:1 250 000 scale, S.E.L.C.A. Florence, Italy, 2004.
25. Jingyi, Z. and Hall, M. J.: Regional flood frequency analysis for the Gan-Ming River basin in China, J. Hydrol., 296, 98-117, 2004. (Pubitemid 38946702)
26. Kaiser, H. F.: The application of electronic computers to factor analysis, Educ. Phychol. Meas., 20, 141-151, 1960.
27. Kalteh, A. M., Hjorth, P., and Berndtsson, R.: Review of the selforganizing map (SOM) approach in water resources: Analysis, modelling and application, Environ. Modell. Softw., 23, 835-845, 2008. (Pubitemid 351380692)
28. Kjeldsen, T. R. and Jones, D. A: Predicting the index flood in ungauged UK catchments: On the link between data-transfer and spatial model error structure, J. Hydrol., 387(1-2), 1-9, 2010.
29. Kohonen, T.: Self-Organized formation of topologically correct feature maps, Biol. Cybern., 43, 59-69, 1982. (Pubitemid 12139984)
30. Kohonen, T.: Self-Organizing Maps, 2nd Edn., Springer, Berlin, ISBN 3-540-62017-6, 1997.
31. Kohonen, T.: Self-Organizing Maps, 3 Edn, Information Sciences, Springer, Berlin, Heidelberg, New York, 501 pp., 2001.
32. Krzanowski, W. J.: Principles of Multivariate Analysis, Oxford University Press, Oxford, 1988.
33. Ley, R., Casper, M. C., Hellebrand, H., and Merz, R.: Catchment classification by runoff behaviour with self-organizing maps (SOM), Hydrol. Earth Syst. Sci. Discuss., 8, 3047-3083, doi:10.5194/hessd-8-3047-2011, 2011.
34. McDonnell, J. J. and Woods, R. A.: On the need for catchment classification, J. Hydrol., 299, 2-3, 2004. (Pubitemid 39350851)
35. McDonnel, J. J., Sivapalan, M., Vache, K., Dunn, S., Grant, G., Haggerty, R., Hinz, C., Hooper, R., Kirchner, J., M. L., Selker, J., and Weiler, M.: Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology, Water Resour. Res., 43(7), W07301, doi:10.1029/2006WR005467, 2007. (Pubitemid 350194455)
36. Maier, H. R. and Dandy, G. C.: Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications, Environ. Modell. Softw. 15, 101-123, 2000.
37. Maier, H. R., Jain, A., Dandy, G. C., and Sudheer, K. P.: Methods used for the development of neural networks for the prediction of water resources variables: Current status and future directions, Environm. Modell. Softw., 25, 891-909, 2010.
38. Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models, Part 1: A discussion of principles, J. Hydrol., 10, 282-290, 1970.
39. Ouarda, T., Girard, C., Cavadias, G. S., and Bobée, B.: Regional flood frequency estimation with canonical correlation analysis, J. Hydrol., 254, 157-173, 2001. (Pubitemid 33136586)
40. Pallard, B., Castellarin, A., and Montanari, A.: A look at the links between drainage density and flood statistics, Hydrol. Earth Syst. Sci., 13, 1019-1029, doi:10.5194/hess-13-1019-2009, 2009.
41. Rand, W. M.: Objective criteria for the evaluation of clustering methods, J. Am. Stat. Assoc., 66(336), 846-850. doi:10.2307/2284239, 1971.
42. Robson, A. J. and Reed, D. W.: Statistical procedures for flood frequency estimation, in: Flood Estimation Handbook (FEH), Wallingford (UK), Vol. 3, Institute of Hydrology, 1999.
43. Savenije, H. H. G.: HESSOpinions "Topography driven conceptual modelling (FLEX-Topo)", Hydrol. Earth Syst. Sci., 14, 2681-2692, doi:10.5194/hess-14-2681-2010, 2010.
44. Shu, C. and Ouarda, T. B. M. J.: Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space, Water Resour. Res., 43, W07438, doi:10.1029/2006WR005142, 2007. (Pubitemid 350194490)
45. Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., OConnell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E.: IAHS Decade on Predictions in Ungauged Basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences, Hydrolog. Sci. J., 48(6), 857-880, 2003. (Pubitemid 37529254)
46. Srinivas, V. V., Tripathi, S., Rao, A. R., and Govindaraju, R. S.: Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering, J. Hydrol., 348 (1-2), 148-166, 2008. (Pubitemid 351483864)
47. Stedinger, J. R., Vogel, R. M., and Foufoula-Georgiou, E.: Chp. 18 Frequency analysis of extreme events, in: Handbook of Hydrology, edited by: Maidment, D.R., New York (NY, USA), McGraw-Hill Inc, 1993.
48. Toth, E.: Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting, Hydrol. Earth Syst. Sci., 13, 1555-1566, doi:10.5194/hess-13-1555-2009, 2009.
49. Toth, E. and Castellarin, A.: Catchment classi?cation coupling Canonical Correlation Analysis and Self Organising Maps, Geophysical Research Abstracts, 10, EGU2008-A-12015, 2008.
50. Wagener, T., Sivapalan, M., Troch, P., and Woods, R.: Catchment Classification and Hydrologic Similarity, Geography Compass, 1/4, 901-931, doi:10.1111/j.1749-8198.2007.00039.x, 2007.
51. Yadav, M., Wagener, T., and Gupta, H.: Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins, Adv. Water Res., 30(8), 1756-1774, doi:10.1016/j.advwatres.2007.01.005, 2007. (Pubitemid 46712120)
52. Yan, X., Chen, D., Chen, Y., and Hu, S.: SOM integrated with CCA for the feature map and classification of complex chemical patterns, Comput. Chem., 25(6), 597-605, 2001.
53. Zhang, Z. and Kroll, C. N.: The baseflow correlation method with multiple gauged sites, J. Hydrol., 347 (3-4), 371-380, doi:10.1016/j.jhydrol.2007.09. 025, 2007. (Pubitemid 350122526)