Skip to main content
Log in

Decision-making in Water Management under Uncertainty

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Decision-making in water management requires the delivery of accurate scientific information. However, the task is challenging under the situation where a large amount of uncertainty exists in the available information (e.g., model outputs). This paper investigates the effect of uncertainty on the ranking of options in water management. Different methods for ranking the management options under uncertainty are reviewed and they account for only partial uncertainty information in model outputs. To consider the full uncertainty information, a new ranking procedure is proposed in this paper, which is capable of providing more information to decision makers and at the same time taking their opinions on uncertainty into consideration. The ranking is achieved by conducting pair-wise comparison of management options, on the basis of the risk defined by the probability of obtaining an unacceptable ranking and the mean difference in model outputs in pair-wise comparison. An application example is presented to illustrate the use of the proposed ranking approach. Furthermore, the sensitivity of management option ranking to different ranking methods and to model uncertainty is also investigated.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Al-Kloub B, Al-Shemmeri T, Pearman A et al (1997) The role of weights in multi-criteria decision aid, and the ranking of water projects in Jordan. Eur J Oper Res 99(2):278–288

    Article  Google Scholar 

  • Basson L, Petrie JG (2007) An integrated approach for the consideration of uncertainty in decision making supported by Life Cycle Assessment. Environ Model Softw 22(2):167–176

    Article  Google Scholar 

  • Beck MB (1987) Water quality modelling: a review of the analysis of uncertainty. Water Resour Res 23(8):1393–1442

    Article  Google Scholar 

  • CUR (1990) Probabilististic design of flood defenses. Central for civil engineering research and codes, Technical advisory committee on water defenses, The Netherlands

  • De Kok JL (2003) A Decision Support System (DSS) for the Elbe River Basin, Detailed Design Report Phase 1, Channel Module, Intermediate Progress Report, INFRAM, The Netherlands

  • De Kort INT, Booij MJ (2007) Decision making under uncertainty in a decision support system for the Red River. Environ Model Softw 22(2):128–136

    Article  Google Scholar 

  • Duchnese S, Beck MB, Reda AL et al (2001) Ranking stormwater control strategies under uncertainty: the River Cam case study. Water Sci Technol 43:311–320

    Google Scholar 

  • Dudewicz EJ, Mishra SN (1988) Modern mathematical statistics. Wiley series in probability and mathematical statistics.Wiley, New York

    Google Scholar 

  • Eastman JR, Kyem PAK, Toledano J, Jin W et al (1993) GIS and decision making. The United Nations Institute for Training and Research, Geneva

  • Fuchs E, Giebel H, Hettrich A, Huesing V, Rosenzweig S, Theis HJ et al (2002) Applications of Ecologicla Models in Water and Navigation Management, the Integrated Model INFORM. NfG Mittelung NR 25, Koblenz

  • Hyde KM, Maier HR, Colby CB (2005) A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. J Environ Manage 77(4):278–290

    Article  Google Scholar 

  • Kaplan S, Garrick BJ (1981) On the quantitative definition of risk. Risk Anal 1(1):11–27

    Article  Google Scholar 

  • Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York

    Google Scholar 

  • Matthies M, Berlekamp J, Lautenbach S, Graf N, Reimer S, Hahn B, Engelen Van der Meulen GM, De Kok J-L, Van der Wal KU, Holzhauer H, Huang Y, Nijeboer M, Boer S et al (2003) Pilot phase for building a DSS for river basin management with the Elbe as an example, Institut fur Umweltsystemforschung (USF) der Universitat Osnabruck, Department of Water Engineering and Management of the University of Twente, Research Institute for Knowledge Systems (RIKS), Infram International BV, Zwischenreport Phase 1, im Auftrag der Bundesanstalt fur Gewasserkunde, Projektgruppe Elbe Okologie, BMBF Forschungsvorhaben FKZ 339542A, Koblenz-Berlin, 102 S

  • Morgan GM, Henrion M (1990) Uncertainty – a guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press, New York

    Google Scholar 

  • Mowrer HT (2000) Uncertainty in natural resource decision support systems: sources, interpretation, and importance. Comput Electron Agric 27:139–154

    Article  Google Scholar 

  • Paté-Cornell ME (1996) Uncertainties in risk analysis: six levels of treatment. Reliab Eng Syst Saf 54:95–111

    Article  Google Scholar 

  • Raju KS, Duckstein L, Arondel C et al (2000) Multicriterion analysis for sustainable water resources planning: a case study in Spain. Water Resour Manag 14:435–456

    Article  Google Scholar 

  • Reckhow KH (1994) Importance of scientific uncertainty in decision-making. Environ Manage 18:161–166

    Article  Google Scholar 

  • Reda ALL, Beck MB (1997) Ranking strategies for stormwater management under uncertainty: sensitivity analysis. Water Sci Technol 36(5):357–371

    Article  Google Scholar 

  • Reichert P, Borsuk ME (2005) Does high forecast uncertainty preclude effective decision support? Environ Model Softw 20(8):991–1001

    Article  Google Scholar 

  • Reichert P, Vanrolleghem P (2001) Identifiability and uncertainty analysis of the river water quality model no. 1 (RWQW1). Water Sci Technol 43(7):329–338

    Google Scholar 

  • Saaty TL (1980) The Analytic Hierarchy Process. McGraw-Hill, New York, NY

    Google Scholar 

  • Saltelli A, Chan K, Scott EM et al (2000) Sensitivity Analysis. Wiley, England

    Google Scholar 

  • Shaw EM (1994) Hydrology in Practice. T.J. International Ltd, Padstow, Cornwall, Great Britain

    Google Scholar 

  • Slijkhuis KAH, Van Gelder PHAJM, Vrijling HK, Vrouwenvelder ACWM et al (2003) On the lack of information in hydraulic engineering models. In: Proceedings of European Safety and Reliability Conference, Maastricht, The Netherlands, 2003

  • Tung YK, Wang PY, Yang UC et al (1993) Water resource projects evaluation and ranking under economic uncertainties. Water Resour Manag 7:311–333

    Article  Google Scholar 

  • U.S. Army Corps of Engineers (1993) CPD-6, HEC-6, Scour and Deposition in Rivers and Reservoirs, User’s Manual

  • Van der Kleij CS, Hulscher SJMH, Louters T et al (2003) Comparing uncertain alternatives for a possible airport island location in the North Sea, Ocean Coast Manag 46(11–12):1031–1047

    Google Scholar 

  • Vrijling JK, Van Gelder PHAJM (2000) Policy implications of uncertainty integration in design. In: Eighth International Symposium Stochastic Hydraulics, Beijing, 2000

  • Walker WE, Harremoes P, Rotmans J, Van de Sluis JP, Van Asselt MBA, Janssen P, Krayer von Krauss MP (2003) Defining uncertainty, a conceptual basis for uncertainty management in model-based decision support. Integrated Assessment 4(1):5–17

    Article  Google Scholar 

  • Xu Y (2005) Appropriate modelling in decision support systems for river basin management. Dissertation, University of Twente, Enschede, The Netherlands

  • Xu Y, Booij MJ (2004) Appropriate models in decision support system in river basin management. In: Proceedings of Conference on Water Observation and Information System for Decision Support, Ohrid, Republic of Macedonnia, 2004

  • Xu Y, Holzhauer H, Booij MJ et al (2005) A two-step approach to propagate rating curve uncertainty in Elbe Decision Support System. In: Jun B-H, Lee S-I, Seo IW, Choi G-W (ed) Proceedings of XXXI IAHR congress, Water Engineering for the Future-Choices and Challenges, Seoul, Korea, 2005

  • Yu P, Yang T, Chen S et al (2001) Comparison of uncertainty analysis methods for a distributed rainfall-runoff model. J Hydrol 244:43–59

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yue-Ping Xu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, YP., Tung, YK. Decision-making in Water Management under Uncertainty. Water Resour Manage 22, 535–550 (2008). https://doi.org/10.1007/s11269-007-9176-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-007-9176-x

Keywords

Navigation