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Erschienen in:
How Accurate Can Instrumental Variable Models Become? Kapitel lesen Erstes Kapitel lesen

2012 | OriginalPaper | Buchkapitel

23. Hydrological Catchment Classification Using a Data-Based Mechanistic Strategy

verfasst von : Thorsten Wagener, Neil McIntyre

Erschienen in: System Identification, Environmental Modelling, and Control System Design

Verlag: Springer London

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Abstract

Catchment classification remains a significant challenge for hydrologists, with available schemes not providing a sufficient basis for consistently distinguishing between different types of hydrological behavior. We analyze 278 catchments distributed across the Eastern USA using a data-based mechanistic (DBM) strategy. We attempt to understand the catchment similarity that can be found with respect to both model parameters (if the same model structure is applied) and with respect to model structures identified as most suitable. Finally, we relate the identified structures and parameters to available physical and climatic catchment-scale characteristics to see whether a further generalization of our result is possible. A significant regional pattern emerged, reflecting the influences of aridity, elevation (steepness) and temperature. In terms of parameter estimates, the most interesting variability between catchments is seen in the response nonlinearity. Significant regional patterns in the non-linearity parameters emerged, and reasonable physical explanations were proposed. Overall, the results of our preliminary study provided here give the impression that the DBM method could be fruitfully applied towards the objective of catchment classification.

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Vorheriges Kapitel Modelling Environmental Change: Quantification of Impacts of Land Use and Land Management Change on UK Flood Risk
Nächstes Kapitel Application of Optimal Nonstationary Time Series Analysis to Water Quality Data and Pollutant Transport Modelling
Literatur
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) CrossRef
3.
Black, P.E.: Watershed functions. J. Am. Water Resour. Assoc. 33, 1–11 (1997) CrossRef
4.
Buttle, J.: Mapping first-order controls on streamflow from drainage basins: the T3 template. Hydrol. Process. 20, 3415–3422 (2006) CrossRef
5.
Dooge, J.C.I.: Looking for hydrologic laws. Water Resour. Res. 22(9), 46–58 (1986) CrossRef
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) CrossRef
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) CrossRef
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) CrossRef
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) CrossRef
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) CrossRef
14.
Klemes, V.: Conceptualization and scale in hydrology. J. Hydrol. 65, 1–23 (1983) CrossRef
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) CrossRef
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 MATH
20.
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) CrossRef
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) CrossRef
23.
Omernik, J.M.: Ecoregions of the conterminous United States. Ann. Assoc. Am. Geogr. 77, 118–125 (1987) CrossRef
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) CrossRef
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 CrossRef
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.
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) CrossRef
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) CrossRef
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 CrossRef
38.
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) CrossRef
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) CrossRef
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) CrossRef
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) CrossRef
47.
Young, P.C., Ratto, M.: A unified approach to environmental systems modeling. Stoch. Environ. Res. Risk Assess. 23, 1037–1057 (2009) CrossRef
Metadaten
Titel
Hydrological Catchment Classification Using a Data-Based Mechanistic Strategy
verfasst von
Thorsten Wagener
Neil McIntyre
Copyright-Jahr
2012
Verlag
Springer London
Buch
System Identification, Environmental Modelling, and Control System Design

Print ISBN: 978-0-85729-973-4

Electronic ISBN: 978-0-85729-974-1

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-0-85729-974-1_23

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