Multicriterion decision analysis approach to assess the utility of watershed modeling for management decisions

Water Resources Research

Volumn 42, Issue 9, 2006, Pages

  Elshorbagy, Amin ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION THEORY; HYDRAULIC MODELS; HYDROLOGY; PROBABILITY;

EVALUATION MATRICES; MULTICRITERION DECISION ANALYSIS (MCDA); PROBABILITY OF MAKING THE RIGHT DECISION (PMRD); WATERSHED MODELING;

WATERSHEDS;

COMPUTER SIMULATION; DECISION THEORY; HYDRAULIC MODELS; HYDROLOGY; PROBABILITY; WATERSHEDS;

DECISION ANALYSIS; HYDROLOGY; MINING INDUSTRY; OIL SAND; STAKEHOLDER; WATER MANAGEMENT; WATERSHED;

ALBERTA; CANADA; NORTH AMERICA;

EID: 33750374147     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2005WR004264     Document Type: Article

References (41)

1. Barbour, S. L., C. Boese, and B. Stolte (2001), Water balance for reclamation covers on oilsands mining overburden piles, in Canadian Geotechnical Conference, pp. 313-319, Can. Geotech. Soc., Alliston, Ont., Canada.
2. Bastidas, L. A., H. V. Gupta, K. Hsu, and S. Sorooshian (2003), Parameter, structure, and model performance evaluation for land-surface schemes, in Calibration of. Watershed Models, Water Sci. Appl. Ser., vol. 6, edited by Q. Duan et al., pp. 229-237, AGU, Washington, D. C.
3. Belton, V., and T. J. Stewart (2003), Multiple Criteria Decision Analysis: An Integrated Approach, Springer, New York.
4. Boese, K. (2003), The design and installation of a field instrumentation program for the evaluation of soil-atmosphere water fluxes in a vegetated cover over saline/sodic shale overburden, M.Sc. thesis, Univ. of Saskatchewan, Saskatoon, Sask., Canada.
5. Bogardi, J. J., and L. Duckstein (1992), Interactive multiobjective analysis embedding the decision maker's implicit preference function, Water Resour. Bull., 28, 75-88.
6. Borsuk, M. E., C. A. Stow, and K. H. Reckhow (2002), Predicting the frequency of water quality standard violations: A probabilistic approach for TMDL development, Environ. Sci. Technol., 36(10), 2109-2115.
7. Clemen, R. T. (1996), Making Hard Decisions: An Introduction to Decision Analysis, Duxbury, Belmont, Calif.
8. Elshorbagy, A., A. Jutla, S. L. Barbour, and J. Kells (2005), System dynamics approach to assess the sustainability of reclamation of disturbed watersheds, Can. J. Civ. Eng., 32, 144-158.
9. Falkenmark, M. (1997), Society's interaction with the water cycle: A conceptual framework for a more holistic approach, Hydrol. Sci. J., 42, 451-466.
10. Fassio, A., C. Giupponi, R. Hiederer, and C. Simota (2005), A decision support tool for simulating the effects of alternative policies affecting water resources: An application at the European scale, J. Hydrol., 304, 462-476.
11. Freer, J., K. Beven, and B. Ambroise (1996), Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach, Water Res. Res., 32, 2161-2173.
12. Goicoechea, A., E. Z. Stakhiv, and F. Li (1992), Experimental evaluation of multiple criteria decision models for application to water resources planning, Water Resour. Bull., 28, 89-102.
13. Harboe, R. (1992), Multiobjective decision making techniques for reservoir operation, Water Resour. Bull., 28, 103-110.
14. Harmancioglu, N. B., and N. Alpaslan (1992), Water quality monitoring network design: A problem of multi-objective decision making, Water Resour. Bull., 28, 179-192.
15. Hines, W. W., D. C. Montgomery, D. M. Goldsman, and C. M. Borror (2003), Probability and Statistics in Engineering, John Wiley, Hoboken, N. J.
16. Hobbs, B. F., V. Chankong, W. Hamadeh, and E. Z. Stakhiv (1992), Does choice of multicriteria method matter? An experiment in water resources planning, Water Resour. Res., 28, 1767-1779.
17. Huth, A., M. Drechsler, and P. Kohler (2004), Multicriteria evaluation of simulated logging scenarios in a tropical rain forest, J. Environ. Manage., 71, 321-333.
18. Jakeman, A. J., and G. M. Hornberger (1993), How much complexity is warranted in a rainfall- runoff model?, Water Resour. Res., 29, 2637-2649.
19. Janssen, R., M. van Herwijnen, and E. Beinat (2003), DEFINITE: Case studies and user manual, report, Inst. voor Milieu Vraagstukken, Amsterdam.
20. Khalil, W. A., A. Shanableh, P. Rigby, and S. Kokot (2005), Selection of hydrothermal pre-treatment conditions of waste sludge destruction using multicriteria decision-making, J. Environ. Manage., 75, 53-64.
21. Ko, S., D. G. Fontane, and J. W. Labadie (1992), Multiobjective optimization of reservoir system operation, Water Resour. Bull., 28, 111-127.
22. Lasch, P., F. Badeck, F. Suckow, M. Lindner, and P. Mohr (2005), Model-based analysis of management alternatives at stand and regional level in Brandenburg (Germany), For. Ecol. Manage., 207, 59-74.
23. Meier, D., and S. L. Barbour (2002), Monitoring of cover and watershed performance for soil covers placed over saline-sodic shale overburden from oilsands mining, paper presented at National Meeting of the American Society of Mining and Reclamation, Lexington, Ky.
24. Palisade Corporation (2004), Guide to using @RISK: Advanced risk analysis for spreadsheets, report, Ithaca, N. Y.
25. Parlos, P. M. (2000), Multi-criteria Decision Making Methods: A Comparative Study, Springer, New York.
26. Qureshi, M. E., and S. R. Harrison (2001), A decision support process to compare riparian revegetation options in Scheu Creek catchment in north Queensland, J. Environ. Manage., 62, 101-112.
27. Raju, K. S., and L. Duckstein (2004), Integrated application of cluster and multicriterion analysis for ranking water resources planning strategies: A case study in Spain, J. Hydroinformatics, 6, 295-307.
28. Roy, B. (1996), Multicriteria Methodology for Decision Aiding, Springer, New York.
29. Roy, B., R. Slowinski, and W. Treichel (1992), Multicriteria programming of water supply systems for rural areas, Water Resour. Bull., 28, 13-31.
30. Schaake, J. C. (2002), Introduction, in Calibration of Watershed Models, Water Sci. Appl. Ser., vol. 6, edited by Q. Duan et al., pp. 1-7, AGU, Washington, D. C.
31. Singh, V. P. (Ed.) (1995), Computer Models of Watershed Hydrology, Water Resour. Publ., Highlands Ranch, Colo.
32. Singh, V. P., and D. K. Frevert (Eds.) (2002a), Mathematical Models of Large Watershed Hydrology, Water Resour. Publ., Highlands Ranch, Colo.
33. Singh, V. P., and D. K. Frevert (Eds.) (2002b), Mathematical Models of Small Watershed Hydrology and Applications, Water Resour. Publ., Highlands Ranch, Colo.
34. Srdjevic, B., Y. D. P. Medeiros, and A. S. Faria (2004), An objective multi-criteria evaluation of water management scenarios, Water Resour. Manage., 18, 35-54.
35. Stansbury, T., W. Woldt, I. Bogardi, and A. Bleed (1991), Decision support system for water transfer evaluation, Water Resour. Res., 27, 443-451.
36. Tecle, A. (1992), Selecting a multicriterion decision making technique for watershed resources management, Water Resour. Bull, 28, 129-140.
37. Tecle, A., M. Fogel, and L. Duckstein (1988), Multicriterion selection of wastewater management alternatives, J. Water Resour. Plann. Manage., 114, 383-398.
38. Thiessen, E. M., and D. P. Loucks (1992), Computer assisted negotiation of multiobjective water resources conflicts, Water Resour. Bull., 28, 163-177.
39. Von Winterfeldt, D., and W. Edwards (1986), Decision Analysis and Behavioural Research, Cambridge Univ. Press, New York.
40. Woldt, W., and I. Bogardi (1992), Ground water monitoring network design using multiple criteria decision making and geostatistics, Water Resour. Bull., 28, 45-62.
41. Wooldridge, S. A., J. D. Kalma, and J. P. Walker (2003), Importance of soil moisture measurements for inferring parameters in hydrologic models of low-yielding ephemeral catchments, Environ. Modell. Software, 18, 35-48.