Hydrological catchment classification using a data-based mechanistic strategy

System Identification, Environmental Modelling, and Control System Design

Volumn 9780857299741, Issue , 2014, Pages 483-500

  Wagener, Thorsten ^a   McIntyre, Neil ^b  

^a The Pennsylvania State University   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MODEL STRUCTURES; RUNOFF;

CATCHMENT CLASSIFICATIONS; CATCHMENT SCALE; GENERALISATION; MECHANISTICS; MODELING PARAMETERS; NON-LINEARITY PARAMETER; PARAMETERS ESTIMATES; REGIONAL PATTERN;

CATCHMENTS;

EID: 84934273999     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-85729-974-1_23     Document Type: Chapter

References (47)

1. Beven, K., Young, P., Romanowicz, R., O'Connell, E., Ewen, J., O'Donnell, G., Homan, I., Posthumus, H., Morris, J., Hollis, J., Rose, S., Lamb, R., Archer, D.: Analysis of historical data sets to look for impacts of land use and management change on flood generation. Defra R and D Final Report FD2120. Defra, London (2008).
2. Beven, K.J.: On the uniqueness of place and process representations in hydrological modeling. Hydrol. Earth Syst. Sci. 4(2), 203-212 (2000).
3. Black, P.E.: Watershed functions. J. Am. Water Resour. Assoc. 33, 1-11 (1997).
4. Buttle, J.: Mapping first-order controls on streamflow from drainage basins: The T3 template. Hydrol. Process. 20, 3415-3422 (2006).
5. Dooge, J.C.I.: Looking for hydrologic laws. Water Resour. Res. 22(9), 46-58 (1986).
6. Duan, Q., Schaake, J., Andreassian, V., Franks, S., Gupta, H.V., Gusev, Y.M., Habets, F., Hall, A., Hay, L., Hogue, T.S., Huang, M., Leavesley, G., Liang, X., Nasonova, O.N., Noilhan, J., Oudin, L., Sorooshian, S., Wagener, T., Wood, E.F.: Model Parameter Estimation Experiment (MOPEX): overview and summary of the second and third workshop results. J. Hydrol. 320, 3-17 (2006).
7. Falkenmark, M., Rockstrom, J., Savenije, H.: Balancing Water for Humans and Nature: The New Approach in Ecohydrology. Earthscan, London (2004).
8. Gottschalk, L.: Hydrological regionalization of Sweden. Hydrol. Sci. J. 30(1), 65-83 (1985).
9. Gould, S.J.: Wonderful Life: The Burgess Shale and the Nature of History. Norton and Company, New York (1989).
10. Grigg, D.B.: The logic of regional systems. Ann. Assoc. Am. Geogr. 55, 465-491 (1965).
11. Grigg, D.B.: Regions, models and classes. In: Models in Geography, pp. 467-509. Methuen, London (1967).
12. Haines, A.T., Finlayson, B.L., McMahon, T.A.: A global classification of river regimes. Appl. Geogr. 8(4), 255-272 (1988).
13. Jakeman, A.J., Littlewood, I.G., Whitehead, P.G.: Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments. J. Hydrol. 117, 275-300 (1990).
14. Klemes, V.: Conceptualization and scale in hydrology. J. Hydrol. 65, 1-23 (1983).
15. Krasovskaia, I.: Entropy-based grouping of river flow regimes. J. Hydrol. 202(1-4), 173-191 (1998).
16. Krasovskaia, I., Gottschalk, L., Kundzweicz, Z.W.: Dimensionality of Scandinavian river flow regimes. Hydrol. Sci. J. 44(5), 705-723 (1999).
17. Lees, M.: Data-based mechanistic modelling and forecasting of hydrological systems. J. Hydroinform. 2, 15-34 (2000).
18. McDonnell, J.J., Woods, R.A.: On the need for catchment classification. J. Hydrol. 299, 2-3 (2004).
19. McIntyre, N., Young, P.C., Orellana, B., Marshall, M., Reynolds, B., Wheater, H.S.: Identitication of nonlinearity in rainfall-flow response using data-based mechanistic modelling.Water Resour. Res. (2011). doi:10.1029/2010WR009851.
20. McIntyre, N., Marshall, M.: Identification of rural land management signals in runoff response. Hydrol. Process. (2010). doi:10.1002/hyp.7774.
21. Milly, P.C.D., Betancourt, J., Falkenmark, M., Hirsch, R.M., Kundzewicz, Z.W., Lettenmaier, D.P., Stouffer, R.J.: Stationarity is dead: Whither water management? Science 319, 573-574 (2008).
22. Olden, J.D., Poff, N.L.: Redundancy and the choice of hydrologic indices for characterizing streamflow regimes. River Res. Appl. 19, 101-121 (2003).
23. Omernik, J.M.: Ecoregions of the conterminous United States. Ann. Assoc. Am. Geogr. 77, 118-125 (1987).
24. Pedregal, D.J., Taylor, C.J., Young, P.C.: System Identification, Time Series Analysis and Forecasting. The Captain Toolbox. Handbook v2.0, Centre for Research on Environmental Systems and Statistics, Lancaster University, UK (2007).
25. Ratto, M., Young, P.C., Romanowicz, R., Pappenberger, F., Saltelli, A., Pagano, A.: Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology. Hydrol. Earth Syst. Sci. 11, 1249-1266 (2007).
26. Romanowicz, R.J., Young, P.C., Beven, K.J.: Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom. Water Resour. Res. 42, W06407 (2006). doi:10.1029/2005WR004373.
27. Sawicz, K.: Catchment classification. Unpublished Masters Thesis, Department of Civil and Environmental Engineering, The Pennsylvania State University, USA (2009).
28. Schaake, J., Cong, C., Duan, Q.: The US MOPEX data set, large sample basin experiments for hydrological model parameterization. In: IAHS Publ., vol. 307, pp. 9-26 (2006).
29. Schaake, J.C., Duan, Q., Smith, M., Koren, V.: Criteria to select basins for hydrologic model development and testing. Preprints, 15th Conf. on Hydrology, Long Beach, CA, Amer.Meteor. Soc., 10-14 January 2000, Paper P1.8 (2000).
30. Sivapalan, M.: Pattern, process and function: Elements of a unified theory of hydrology at the catchment scale. In: Anderson, M. (ed.) Encyclopedia of Hydrological Sciences, pp. 193-219. Wiley, London (2005).
31. Sivapalan, M., Young, P.C.: Downward Approach to Hydrological Model Development. Encyclopedia of Hydrological Sciences (2005).
32. Sivapalan, M., Bloschl, G., Zhang, L., Vertessy, R.: Downward approach to hydrological prediction. Hydrol. Process. 17, 2101-2111 (2003). doi:10.1002/hyp.1425.
33. Taylor, C.J., Pedregal, D.J., Young, P.C., Tych, W.: Environmental time series analysis and forecasting with the Captain toolbox. Environ. Model. Softw. 22, 797-814 (2007).
34. Vaughan, M., McIntyre, N.: The utility of data-based mechanistic flood forecasting models. Water Manag. (2011, in press).
35. Wagener, T., Sivapalan, M., McGlynn, B.L.: Catchment classification and services-toward a new paradigm for catchment hydrology driven by societal needs. In: Anderson, M.G. (ed.) Encyclopedia of Hydrological Sciences. Wiley, New York (2008).
36. Wagener, T., Sivapalan, M., Troch, P.A., Woods, R.A.: Catchment classification and hydrologic similarity. Geogr. Comput. 1/4, 901-931 (2007).
37. Wagener, T., Sivapalan, M., Troch, P.A., McGlynn, B.L., Harman, C.J., Gupta, H.V., Kumar, P., Rao, P.S.C., Basu, N.B., Wilson, J.S.: The future of hydrology: An evolving science for a changing world. Water Resour. Res. 46, W05301 (2010). doi:10.1029/2009WR008906.
38. Winter, T.C.: The concept of hydrologic landscapes. J. Am.Water Resour. Assoc. 37, 335-349 (2001).
39. Young, P.C., Jakeman, A.J., Post, D.A.: Recent advances in data-based modelling and analysis of hydrological systems. Water Sci. Technol. 36, 99-116 (1997).
40. Young, P.C.: Real time flow forecasting. In:Wheater, H.S., Sorooshian, S., Sharma, K.D. (eds.) Hydrological Modelling in Arid and Semi-Arid Areas, pp. 113-137. Cambridge University Press, Cambridge (2008).
41. Young, P.C.: Recursive estimation, forecasting and adaptive control. In: Leondes, C.T. (ed.) Control and Dynamic Systems. Advances in Theory and Applications, vol. 30, pp. 119-166. Academic Press, San Diego (1990).
42. Young, P.C.: Advances in real-time flood forecasting. Philos. Trans. R. Soc., Math. Phys. Eng. Sci. 360, 1433-1450 (2002).
43. Young, P.C.: Top-down and data-based mechanistic modelling of rainfall-flow dynamics at the catchment scale. Hydrol. Process. 17, 2195-2217 (2003).
44. Young, P.C., Lees, M.J.: The active mixing volume: A new concept in modelling environmental systems. In: Barnett, V., Turkman, K. (eds.) Statistics for the Environment, pp. 3-43. Wiley, Chichester (1993).
45. Young, P.C.: Data-based mechanistic modelling of environmental, ecological, economic and engineering systems. Environ. Model. Softw. 13, 105-122 (1998).
46. Young, P.C., Garnier, H.: Identification and estimation of continuous-time data-based mechanistic (DBM) models for environmental systems. Environ. Model. Softw. 21, 1055-1072 (2006).
47. Young, P.C., Ratto, M.: A unified approach to environmental systems modeling. Stoch. Environ. Res. Risk Assess. 23, 1037-1057 (2009).