Deterministic-statistical model coupling in a DSS for river-basin management

Environmental Modeling and Assessment

Volumn 14, Issue 5, 2009, Pages 595-606

  de Kok, Jean Luc ^a   Booij, Martijn J ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Appropriate modelling; Decision support system; Elbe; Floodplain vegetation model; Model accuracy; Rainfall runoff model; River basin management

Indexed keywords

BANKS (BODIES OF WATER); FLOODS; RAIN; RIVERS; RUNOFF; SENSITIVITY ANALYSIS; TIME SERIES; TIME SERIES ANALYSIS; VEGETATION; WATER MANAGEMENT; WATERSHEDS;

ELBE; MODEL ACCURACY; RAINFALL-RUNOFF MODELING; RIVER BASIN MANAGEMENT; VEGETATION MODEL;

DECISION SUPPORT SYSTEMS;

BASIN MANAGEMENT; DECISION SUPPORT SYSTEM; DISCHARGE; FLOOD; FLOODPLAIN; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; RIVER BASIN; STATISTICAL ANALYSIS;

ELBE RIVER;

EID: 70349495684     PISSN: 14202026     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10666-008-9161-7     Document Type: Article

References (34)

1. De Kok, J. L., & Wind, H. G. (2003). Design and application of decision - support systems for integrated water management: lessons to be learnt. Physics and Chemistry of the Earth. Part B: Hydrology, Oceans and Atmosphere, 28, 571-578.
2. Berlekamp, J., Boer, S., Graf, N., Hahn, B., Holzhauer, H., Huang, Y., et al.(2005). Aufbau eines Pilot-Decision Support Systems (DSS) zum Flusseinzugsgebietsmanagement am Beispiel der Elbe - Abschlussbericht - Design of a pilot decision-support system for river-basin management with the Elbe river as example - Final report. Mitteilung Nr. 10, Projektgruppe Elbe-Ökologie, Federal Institute of Hydrology, Koblenz (in German). http://elise.bafg.de/?3283.
3. Matthies, M., & Berlekamp, J. (2006). System analysis for water quality management for the Elbe river basin. Environmental Modelling & Software, 21(9), 1309-1318. doi:10.1016/j.envsoft.2005.04.026.
4. Berlekamp, J., Lautenbach, S., Graf, N., Reimer, S., & Matthies, M. (2007). Integration of MONERIS and GREAT-ER in the decision-support system for the German Elbe river basin. Environmental Modelling & Software, 22(2), 239-247. doi:10.1016/j.envsoft.2005.07.021.
5. Rogers, P. (1978). On the choice of 'appropriate model' for water resources planning and management. Water Resources Research, 14, 1003-1010. doi:10.1029/WR014i006p01003.
6. Moussa, R., & Bocquillon, C. (1996). Criteria for the choice of flood-routing methods in natural channels. Journal of Hydrology (Amsterdam), 186, 1-30. doi:10.1016/S0022-1694(96)03045-4.
7. Vreugdenhil, C. B. (2002). Accuracy and reliability of numerical river models. Journal of the American Water Resources Association, 38, 1083-1095. doi:10.1111/j.1752-1688.2002.tb05548.x.
8. Booij, M. J. (2003). Determination and integration of appropriate spatial scales for river basin modelling. Hydrological Processes, 17, 2581-2598. doi:10.1002/hyp.1268.
9. De Kok, J. L., & Holzhauer, H. (2004). Pitfalls and challenges in the design and application of decision-support systems for integrated river-basin management. In J. Möltgen, & P. Petry (Eds.), Interdisziplinäre Methoden des Flussgebietsmanagements - Interdisciplinary Methods of River-basin management, IFGI prints 21 (pp. 97-104). Münster, Germany: Institute for Geoinformatics, University of Münster.
10. Xu, Y. P., Booij, M. J., & Mynett, A. E. (2007). An appropriateness framework for the Dutch Meuse decision support system. Environmental Modelling & Software, 22, 1667-1678. doi:10.1016/j.envsoft.2007.01.002.
11. De Kort, I. A. T., & Booij, M. J. (2007). Decision making under uncertainty in a decision support system for the Red River. Environmental Modelling & Software, 22(2), 128-136. doi:10.1016/j.envsoft.2005.07.014.
12. Internationale Kommission zum Schutz der Elbe (IKSE) - International Commission for the Protection of the Elbe River.(1995). http://www.ikse-mkol.org/.
13. UNESCO.(2006). http://www.biosphaerenreservatmittlereelbe.de
14. Bergström, S. (1995). The HBV model. In V. P. Singh (Ed.), Computer models of watershed hydrology. Water Resources Publications (pp. 443-476). Colorado: Highlands Ranch.
15. Otte-Witte, K., Adam, K., Meon, G., & Rathke, K. (2002). Hydraulisch-morphologische Charakteristika entlang der Elbe (Hydraulic-morphological characteristics along the Elbe river. In F. Nestmann, & B. Büchele (Eds.), Morphodynamik der Elbe, Endbericht des Verbundprojekts - Morphodynamics of the Elbe river - final project report (pp. 203-299). Karlsruhe: Institute of Water Resources Management, University of Karlsruhe (In German).
16. Fuchs, E., Giebel, H., Hettrich, A., Huesing, V., Rosenzweig, S., & Theis, H.-J. (2002). Einsatz von ökologischen Modellen in der Wasser- und Schifffahrtsverwaltung, das integrierte Flussauenmodell INFORM - Employment of vegetation models for water and navigation management, the integrated floodplain model INFORM. Koblenz (in German): Mitteilung Nr. 25, Federal Institute of Hydrology (In German).
17. Bundesamt für Kartographie und Geodäsie (BKG) - Federal Agency for Cartography and Geodesy.(2003). Digitales Geländemodell 1:25.000 des Elbegebietes - Digital terrain model 1:25.000 of the Elbe river basin, on CD-ROM. - ATKIS* DGM25-D-V, Bearbeitet durch Bundesanstalt für Gewässerkunde - modified by the Federal Institute of Hydrology, Frankfurt. http://www.bkg.bund.de.
18. European Environment Agency. CORINE Land cover database (n.d.). Retrieved 2002, from Website: http://dataservice.eea.eu.int/dataservice/.
19. Jankiewicz, P., Kofalk, S., Spierling, C., & Scholten, M. (2005). Digitale Erfassung von Informationen zur Höhe und Lage der Deichkronen an der Elbe und Aufbereitung für hydro-dynamische Modellierungen - Digitization of the status of the height and position of the dike crests along the Elbe river and preparation for hydrodynamic modelling. Mitteilung Nr. 9, Federal Institute of Hydrology, Koblenz (in German). http://elise.bafg.de/?1817.
20. Bundesministerium für Umwelt. Naturschutz und Reaktorsicherheit (BMU) - Federal Ministry for the Environment, Nature Conservation and Nuclear Safety, Hydrologischer Atlas von Deutschland - Hydrological Atlas of Germany, 2001. Berlin. http://had.bafg.de:8080/.
21. Blaney, H., & Criddle, W. (1950). Determinating water requirements in irrigated areas from climatological and irrigation data. TP-96 p. 48. Washington: USDA.
22. Wendling, U., & Müller, J. (1984). Entwicklung eines verfahrens zur abschätzung der verdunstung im winter (Development of a method to estimate the evapotranspiration in the winter). Zeitschrift für Meteorologie, 34(2), 82-85.
23. Gerstengarbe, F. W., & Werner, P. C. (1997). A method to estimate the statistical confidence of cluster separation. Theoretical and Applied Climatology, 57, 103-110. doi:10.1007/BF00867981.
24. Werner, P. C., & Gerstengarbe, F. W. (1997). Proposal for the development of climate scenarios. Climate Research, 8(3), 171-182. doi:10.3354/cr008171.
25. Roeckner, E., Arpe, K., Bengtsson, L., Christoph, M., Claussen, M., Dümenil, L., et al. (1996). The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate, Report vol. 218. Hamburg: Max Planck Institute for Meteorology.
26. International Panel for Climate Change (IPCC) (2001). Climate Change 2000, Summary for policy makers. Cambridge, UK: Cambridge University Press.
27. Booij, M. J. (2005). Impact of climate change on river flooding assessed with different spatial model resolutions. Journal of Hydrology (Amsterdam), 303, 176-198. doi:10.1016/j.jhydrol.2004.07.013.
28. Krysanova, V., Bronstert, A., & Wohlfeil, D.-I. (1999). Modelling river discharge for large drainage basins: from lumped to distributed approach. Hydrological Sciences Journal, 44, 313-331.
29. Helms, M., Büchele, B., Merkel, U., & Ihringer, J. (2002a). Statistical analysis of the flood situation and assessment of the impact of diking measures along the Elbe (Labe) river. Journal of Hydrology (Amsterdam), 267, 94-114. doi:10.1016/S0022-1694(02)00143-9.
30. Helms, M., Ihringer, J., & Nestmann, F. (2002b). Analyse und simulation des abflussprozesses der Elbe - Analysis and simulation of the flow process of the Elbe river. In F. Nestmann, & B. Büchele (Eds.), Morphodynamik der Elbe, Endbericht des Verbundprojekts -Morphodynamics of the Elbe river - final project report (pp. 91-202). Karlsruhe: Institute of Water Resources Management, University of Karlsruhe (In German).
31. Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models. Part I. A discussion of principles. Journal of Hydrology (Amsterdam), 10, 282-290. doi:10.1016/0022-1694(70)90255-6.
32. Hydrologic Engineering Center (HEC). US Army Corps of Engineers (1992). Guidelines for the Calibration and Application of Computer Program HEC-6, Training Document No. 13, Davis, CA. http://www.hec.usace.army.mil/.
33. Seibert, J., Uhlenbrook, S., Leibundgut, C., & Halidin, S. (2000). Multiscale calibration and validation of a conceptual rainfall-runoff model. Physics and Chemistry of the Earth part B, 25, 59-64.
34. Middelkoop, H., Daamen, K., Gellens, D., Grabs, W., Kwadijk, J. C. J., Lang, H., et al. (2001). Impact of climate change on hydrological regimes and water resources management in the Rhine basin. Climatic Change, 49, 105-128. doi:10.1023/A:1010784727448.