Skip to main content

Spatially explicit versus lumped models in catchment hydrology – experiences from two case studies

  • Conference paper
Uncertainties in Environmental Modelling and Consequences for Policy Making

This paper analyses the major features of spatially explicit and lumped hydro-logical models based on two case studies. For two different catchments in West Africa and Germany model intercomparison studies were performed to reveal the model structure and spatial resolution dependent advantages and disadvantages of the different model types. It can be shown that different model types (lumped versus distributed models and conceptual versus physically based models) have benefits and drawbacks. But all model predictions of different type models contain some valuable information when used for the simulation of catchment water fluxes. Using local scale data from intense field experiments, the sophisticated and spatially explicit models simulate stream flow of a West African catchment with the same performance obtained by lumped models that can be calibrated more efficiently. In addition, the spatially explicit models generate plausible spatial patterns of state variables and processes which can be validated by additional observations. Using regional scale available data to predict stream flow of a German catchment, the simpler models tend to perform better in both calibration and validation periods. But while all models tend to show improved performance during the less extreme validation period, this improvement is greatest for some of the more complex models. Applying the same models (of different model types) to three land use change scenarios, there is broad agreement among the models on the expected hydrological change. This suggests that we can predict with some confidence the direction and magnitude of stream flow changes associated with land use change, especially by combining the predictions of different model types. As a short outlook, it is shown that a simple multi-model application offers a sound basis for multi-model ensembles that are based on a technique currently applied successfully in many atmospheric forecast and scenario studies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R., 1998, Large area hydrologic modelling and assessment. Part I: Model development, Journal of the American Water Resources Association, 34:73–88.

    Article  CAS  Google Scholar 

  • Bergström, S., 1995, The HBV model, In: Singh, V.P. (ed.), Computer Models of Watershed Hydrology, Highland Ranch, CO, Water Resources Publications, 443–476.

    Google Scholar 

  • Beven, K.J., 2001, Rainfall-Runoff Modelling, The Primer, Chichester, Wiley.

    Google Scholar 

  • Beven, K. and Binley, A., 1992, The future of distributed models: Model calibration and uncertainty prediction, Hydrological Processes, 6:279–298.

    Article  Google Scholar 

  • Binley, A.M., Beven, K.J., Calver, A., and Watts, L.G., 1991, Changing responses in hydrology: Assessing the uncertainty in physically based model predictions, Water Resources Research, 27:1253–1261.

    Article  Google Scholar 

  • Blöschl, G., 1996, Scale and Scaling in Hydrology, Habilitation, Wiener Mitteilungen Wasser, Abwasser, Gewässer, 132 p.

    Google Scholar 

  • Bormann, H., 2005a, Regional hydrological modelling in Benin (West Africa): Uncertainty issues versus scenarios of expected future environmental change, Physics and Chemistry of the Earth, 30/8–10:472–484.

    Google Scholar 

  • Bormann, H., 2005b, Evaluation of hydrological models for scenario analyses: Signal-to-noise-ratio between scenario effects and model uncertainty, Advances in Geo-sciences, 5:43–48.

    Google Scholar 

  • Bormann, H. and Diekkrüger, B., 2003, Possibilities and limitations of regional hydrologi-cal models applied within an environmental change study in Benin (West Africa), Physics and Chemistry of the Earth, 28/33–36:1323–1332.

    Google Scholar 

  • Bormann, H. and Diekkrüger, B., 2004 A conceptual hydrological model for Benin (West Africa): Validation, uncertainty assessment and assessment of applicability for environmental change analyses, Physics and Chemistry of the Earth, 29/11–12:759–768.

    Google Scholar 

  • Bormann, H., Faβ, T., Giertz, S., Junge, B., Diekkrüger, B., Reichert, B., and Skowronek, A., 2005a, From local hydrological process analysis to regional hydrological model application in Bénin: Cohncept, results and perspectives, Physics and Chemistry of the Earth, 30/6–7:347–356.

    Google Scholar 

  • Bormann, H., Giertz, S., and Diekkrüger, B., 2005b, Hydrological catchment models between process representation, data availability and applicability for water management — Case study for Bénin, IAHS Publication, 295:86–93.

    Google Scholar 

  • Bormann, H, Breuer, L., Croke, B., Gräff, T., Hubrechts, L., Huisman, J.A., Kite, G.W., Lanini, J., Leavesley, G., Lindström, G., Seibert, J., Viney, N.R., and Willems, P., 2007, Reduction of predictive uncertainty by ensemble hydrological modelling of catchment processes and land use change effects. Proceedings of the 11th Conference of the Euromediterranean Network of Experimental and Representative Basins (ERB), Luxembourg, 20–22 September 2006, IHP-VI/Technical Documents in Hydrology, 81:133–139.

    Google Scholar 

  • Breuer, L., Huisman, J.A., Willems, P., Bormann, H., Bronstert, A., Croke, B.F.W., Frede, H-G., Gräff, T., Hubrechts, L., Jakeman, A.J., Kite, G., Leavesley, G., Lanini, J., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan, M., and Viney, N.R., 2009, Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) I: Model intercomparison of current land use, Advances in Water Resources, doi:10.1016/j.advwatres.2008.10.003.

    Google Scholar 

  • Calder, I.R., Hall, R.L., Bastable, H.G., Gunston, H.M., Shela, O., and Chirwa, A., 1995, The impact of land use change on water resources in sub-Saharan Africa: A modelling study of Lake Malawi, Journal of Hydrology, 170:123–135.

    Article  Google Scholar 

  • Croke, B.F.W., Merritt, W.S., and Jakeman, A.J., 2004, A dynamic model for predicting hydrologic response to land cover changes in gauged and ungauged catchments, Journal of Hydrology, 291:115–131.

    Article  Google Scholar 

  • Diekkrüger, B. and Arning, M., 1995, Simulation of water fluxes using different methods for estimating soil parameters, Ecological Modelling, 81/1–3:83–95.

    Article  Google Scholar 

  • Ewen, J. and Parkin, G., 1996, Validation of catchment models for prediction land use and climate change impact. 1. Method, Journal of Hydrology, 175:583–594.

    Article  Google Scholar 

  • Giertz, S., 2004, Analyse der hydrologischen Prozesse in den sub-humiden Tropen Westafrikas unter besonderer Berücksichtigung der Landnutzung des Aguima-Einzugsgebietes in Bénin, Dissertation, University of Bonn, 249 p.

    Google Scholar 

  • Giertz, S. and Diekkrüger, B., 2006, Evaluation of three different model concepts to simulate the rainfall-runoff process in a tropical headwater catchment in West Africa, Geoöko, 27:117–147.

    Google Scholar 

  • Giertz, S., Diekkrüger, B., and Steup, G., 2006, Physically-based modelling of hydrological processes in a tropical headwater catchment in Bénin (West Africa) — Process representation and multi-criteria validation, Hydrology and Earth System Sciences, 10:829–847.

    Article  Google Scholar 

  • Huisman, J.A., Breuer, L., Bormann, H., Bronstert, A., Croke, B.F.W., Frede, H., Gräff, T., Hubrechts, L., Jakeman, A.J., Kite, G.W., Lanini, J., Leavesley, G. Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan, M., Viney, N.R., and Willems P., 2009, Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) III: Scenario analysis, Advances in Water Resources, doi:10.1016/ j.advwatres.2008.06.009.

    Google Scholar 

  • Impetus, 2008, IMPETUS — An integrated approach to the efficient management of scarce water resources in West Africa, http://www.impetus.uni-koeln.de/ (date of access: 15.11.08).

  • Jakeman, A.J., Littlewood, I.G., and Whitehead, P.G., 1990, Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments, Journal of Hydrology, 117:275–300.

    Article  Google Scholar 

  • Junge, B., 2004, Die Böden im oberen Ouémé-Einzugsgebiet: Pedogenese, Klassifikation, Nutzung und Degradierung, Dissertation, University of Bonn, Germany, 217 p.

    Google Scholar 

  • Kite, G.W., 1978, Development of a hydrological model for a Canadian watershed, Canadian Journal of Civil Engineering, 5:126–134.

    Article  Google Scholar 

  • Leavesley, G.H. and Stannard, L.G., 1995, The precipitation runoff modeling system — PRMS, In: V.P. Singh (ed.), Computer Models of Watershed Hydrology, Water Resources Publications, Highland Ranch, CO, 281–310.

    Google Scholar 

  • Mulindabigwi, V., 2005, Influence des système agraires sur l'utilisation des terroirs, la séquestrion du carbone et la sécurité alimentaire dans le bassin versant de l'Ouémé supérieur au Bénin, Dissertation, University of Bonn, Germany, 227 p.

    Google Scholar 

  • Nash, J.E. and Sutcliffe, J.V., 1970, River flow forecasting through conceptual models. Part 1 — A discussion of principles, Journal of Hydrology, 10:282–290.

    Article  Google Scholar 

  • Niehoff, D., Fritsch, U., and Bronstert, A., 2002, Landuse impacts on storm-runoff generation: Scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany, Journal of Hydrology, 267:80–93.

    Article  Google Scholar 

  • Onstad, C.A. and Jamieson, D.G., 1970, Modelling the effect of land use modifications on runoff, Water Resources Research, 65:287–1295.

    Google Scholar 

  • Orthmann, B., 2005, Vegetation ecology of a woodland-savannah mosaic in central Benin (West-Africa): Ecosystem analysis with a focus on the impact of selected logging, Dissertation, University of Rostock, Germany, 115 p.

    Google Scholar 

  • Peters-Lidard, C.D., Zion, M.S., and Wood, E.F., 1997, A soil-vegetation-atmosphere transfer scheme for modeling spatially variable water and energy balance processes, Journal of Geophysical Research, 102:4303–4324.

    Article  Google Scholar 

  • Refsgaard, J.C., van der Sluijs, J., Brown, J., and van der Keur, P., 2006, A framework for dealing with uncertainty due to model structure error, Advances in Water Resources, 29:1586–1597.

    Article  Google Scholar 

  • Refsgaard, J.C. and Storm B., 1995, MIKE SHE, In: V.P. Singh (ed.), Computer Models of Watershed Hydrology, Water Resources Publications, Highland Ranch, CO, 809– 846.

    Google Scholar 

  • SCS, 1972, Estimation of direct runoff from storm rainfall, National Engineering Handbook, Section 4 — Hydrology, USDA, Washington, D.C., U.S.A., 10.1.–10.24.

    Google Scholar 

  • Sivapalan, M., Ruprecht, J.K., and Viney, N.R., 1996, Water and salt balance modelling to predict the effects of land-use changes in forested catchments. 1. Small catchment water balance model, Hydrological Processes, 10:393–411.

    Article  Google Scholar 

  • Viney, N.R., Croke, B.F.W., Breuer, L., Bormann, H., Bronstert, A., Frede, H., Gräff, T., Hubrechts, L., Huisman, J.A., Jakeman, A.J., Kite, G.W., Lanini, J., Leavesley, G., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan M., and Willems, P., 2005, Ensemble modelling of the hydrological impacts of land use change, In Zerger, A. and Argent, R.M. (eds.), MODSIM 2005 International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, December 2005, 2967–2973.

    Google Scholar 

  • Viney, N.R., Bormann, H., Breuer, L., Bronstert, A., Croke, B.F.W., Frede, H.-G., Gräff, T., Hubrechts, L., Huisman, J.A., Jakeman, A.J., Kite, G., Leavesley, G., Lanini, J., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan, M., and Willems, P., 2009, Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions, Advances in Water Resources, doi:10.1016/j.advwatres.2008.05.006.

    Google Scholar 

  • Weinmann, B., Schroers, J.O., and Sheridan, P., 2006, Simulating the effects of decoupled transfer payments using the land use model ProLand, Agrarwirtschaft, 55:248–256.

    Google Scholar 

  • Wigmosta, M.S., Vail, L.W., and Lettenmaier, D.P., 1994, A distributed hydrology-vegetation model for complex terrain, Water Resources Research, 30:1665–1679.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science + Business Media B.V

About this paper

Cite this paper

Bormann, H., Breuer, L., Giertz, S., Huisman, J.A., Viney, N.R. (2009). Spatially explicit versus lumped models in catchment hydrology – experiences from two case studies. In: Baveye, P.C., Laba, M., Mysiak, J. (eds) Uncertainties in Environmental Modelling and Consequences for Policy Making. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2636-1_1

Download citation

Publish with us

Policies and ethics