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Volumn 37, Issue 7, 2010, Pages 941-954

An applied framework for uncertainty treatment and key challenges in hydrological and hydraulic modeling

Author keywords

Hydraulic modeling; Hydrological modeling; Model calibration; Risk; Sensitivity analysis; Uncertainty

Indexed keywords

DATA ACQUISITION; DECISION MAKING; HYDRAULIC MODELS; INVERSE PROBLEMS; NUMERICAL METHODS; RISK ASSESSMENT; RISKS; SENSITIVITY ANALYSIS;

EID: 77958038086     PISSN: 03151468     EISSN: 12086029     Source Type: Journal    
DOI: 10.1139/L10-042     Document Type: Article
Times cited : (3)

References (47)
  • 1
    • 2542456393 scopus 로고    scopus 로고
    • Flood risk assessment and associated uncertainty
    • doi:10.5194/nhess-4-295-2004
    • Apel, H., Thieken, A.H., Merz, B., and Bloschl, G. 2004. Flood risk assessment and associated uncertainty. Natural Hazards and Earth System Sciences, 4(2): 295-308. doi:10.5194/nhess-4-295-2004.
    • (2004) Natural Hazards and Earth System Sciences , vol.4 , Issue.2 , pp. 295-308
    • Apel, H.1    Thieken, A.H.2    Merz, B.3    Bloschl, G.4
  • 2
    • 15344341515 scopus 로고    scopus 로고
    • The distinction between aleatory and epistemic uncertainties is important; an example from the inclusion of aging effects in the PSA
    • Washington, DC
    • Apostolakis, G. 1999. The distinction between aleatory and epistemic uncertainties is important; an example from the inclusion of aging effects in the PSA. In Proceedings of PSA'99, International Topical Meeting on Probabilistic Safety Assessment, Washington, DC. pp. 135-42.
    • (1999) Proceedings of PSA'99, International Topical Meeting On Probabilistic Safety Assessment , pp. 135-142
    • Apostolakis, G.1
  • 5
    • 0023523402 scopus 로고
    • Water quality modelling: A review of the analysis of uncertainty
    • doi:10.1029/WR023i008p01393
    • Beck, M.B. 1987. Water quality modelling: A review of the analysis of uncertainty. Water Resources Research, 23(8): 1393-1442. doi:10.1029/WR023i008p01393.
    • (1987) Water Resources Research , vol.23 , Issue.8 , pp. 1393-1442
    • Beck, M.B.1
  • 8
    • 0343282959 scopus 로고
    • Elements of Bayesian analysis of uncertainty in reliability and risk models
    • Edited by L. Duckstein, and E.J. Plate. NATO ASI Series E: Applied Sciences
    • Bernier, J. 1987. Elements of Bayesian analysis of uncertainty in reliability and risk models. In Engineering Reliability and Risk in Water resources. Edited by L. Duckstein, and E.J. Plate. NATO ASI Series E: Applied Sciences. No. 124. pp. 405-422.
    • (1987) Engineering Reliability and Risk In Water Resources , vol.124 , pp. 405-422
    • Bernier, J.1
  • 9
    • 0027009437 scopus 로고
    • The future of distributed model: Model calibration and uncertainty prediction
    • doi:10.1002/hyp.3360060305
    • Beven, K.J., and Binley, A.M. 1992. The future of distributed model: model calibration and uncertainty prediction. Hydrological Processes, 6(3): 279-298. doi:10.1002/hyp.3360060305.
    • (1992) Hydrological Processes , vol.6 , Issue.3 , pp. 279-298
    • Beven, K.J.1    Binley, A.M.2
  • 11
  • 13
    • 0016995057 scopus 로고
    • Uncertainty in the return period of maximum hydrologic events: A Bayesian approach
    • doi:10.1016/0022-1694(76)90022-6
    • Davis, D.R., Duckstein, L., and Fogel, M.M. 1976. Uncertainty in the return period of maximum hydrologic events: A Bayesian approach. Journal of Hydrology (Amsterdam), 31(1-2): 81-95. doi:10.1016/0022-1694(76)90022-6.
    • (1976) Journal of Hydrology (Amsterdam) , vol.31 , Issue.1-2 , pp. 81-95
    • Davis, D.R.1    Duckstein, L.2    Fogel, M.M.3
  • 16
    • 70349817525 scopus 로고    scopus 로고
    • nd partie - revue des méthodes de modélisation statistique, physique et numérique
    • nd partie - revue des méthodes de modélisation statistique, physique et numérique. Journal de la Société Française de Statistique, 147(4): 33-106.
    • (2006) Journal De La Société Française De Statistique , vol.147 , Issue.4 , pp. 33-106
    • de Rocquigny, E.1
  • 17
    • 70349796415 scopus 로고    scopus 로고
    • Inverse probabilistic modelling of the sources of uncertainty: A non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment
    • doi:10.1080/17415970902916987
    • de Rocquigny, E., and Cambier, S. 2009. Inverse probabilistic modelling of the sources of uncertainty: A non-parametric simulated-likelihood method with application to an industrial turbine vibration assessment. Inverse Problems in Science and Engineering. 17(7): 937-959. doi:10.1080/17415970902916987.
    • (2009) Inverse Problems In Science and Engineering , vol.17 , Issue.7 , pp. 937-959
    • de Rocquigny, E.1    Cambier, S.2
  • 18
    • 51649118341 scopus 로고    scopus 로고
    • Uncertainty in industrial practice
    • de Rocquigny, E., Devictor, N., and Tarantola, S. (Editors), Wiley, Chichester, UK
    • de Rocquigny, E., Devictor, N., and Tarantola, S. (Editors). 2008. Uncertainty in industrial practice. A guide to quantitative uncertainty management. Wiley, Chichester, UK.
    • (2008) A Guide to Quantitative Uncertainty Management
  • 19
    • 0000516376 scopus 로고
    • Upper and lower probabilities induced by a multivalued mapping
    • doi:10.1214/aoms/1177698950
    • Dempster, A.P. 1967. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38(2): 325-339. doi:10.1214/aoms/1177698950.
    • (1967) Annals of Mathematical Statistics , vol.38 , Issue.2 , pp. 325-339
    • Dempster, A.P.1
  • 22
    • 0036085488 scopus 로고    scopus 로고
    • Identification and review of sensitivity analysis methods
    • doi:10. 1111/0272-4332.00039. PMID:12088234
    • Frey, H.C., and Patil, S.R. 2002. Identification and review of sensitivity analysis methods. Risk Analysis, 22(3): 553-578. doi:10. 1111/0272-4332.00039. PMID:12088234.
    • (2002) Risk Analysis , vol.22 , Issue.3 , pp. 553-578
    • Frey, H.C.1    Patil, S.R.2
  • 24
    • 0028501607 scopus 로고
    • A review of techniques for parameter sensitivity analysis of environmental models
    • doi:10.1007/BF00547132
    • Hamby, D.M. 1994. A review of techniques for parameter sensitivity analysis of environmental models. Environmental Monitoring and Assessment, 32(2): 135-154. doi:10.1007/BF00547132.
    • (1994) Environmental Monitoring and Assessment , vol.32 , Issue.2 , pp. 135-154
    • Hamby, D.M.1
  • 25
    • 0027810117 scopus 로고
    • Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal
    • doi:10.1016/0951-8320(93)90097-I
    • Helton, J. 1993. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliability Engineering & System Safety, 42(2-3): 327-367. doi:10.1016/0951-8320(93)90097-I.
    • (1993) Reliability Engineering & System Safety , vol.42 , Issue.2-3 , pp. 327-367
    • Helton, J.1
  • 26
    • 0000490093 scopus 로고    scopus 로고
    • Guest editorial: Treatment of aleatory and epistemic uncertainty in performance assessments for complex systems
    • doi:10.1016/S0951-8320(96)00066-X
    • Helton, J.C., and Burmaster, D.E. 1996. Guest editorial: Treatment of aleatory and epistemic uncertainty in performance assessments for complex systems. Reliability Engineering & System Safety, 54(2-3): 91-94. doi:10.1016/S0951-8320(96)00066-X.
    • (1996) Reliability Engineering & System Safety , vol.54 , Issue.2-3 , pp. 91-94
    • Helton, J.C.1    Burmaster, D.E.2
  • 27
    • 2642533873 scopus 로고    scopus 로고
    • Alternative representations of epistemic uncertainty
    • Helton, J.C., and Oberkampf, W.L. (Editorial), doi:10.1016/j.ress.2004.03.001
    • Helton, J.C., and Oberkampf, W.L. (Editorial) 2004. Alternative representations of epistemic uncertainty. Reliability Engineering & System Safety, 85(1-3): 1-10. doi:10.1016/j.ress.2004.03.001.
    • (2004) Reliability Engineering & System Safety , vol.85 , Issue.1-3 , pp. 1-10
  • 28
    • 0003492094 scopus 로고
    • ISO, European Pre-Standard ENV 13005. International Organization for Standardization
    • ISO. 1995. Guide to the expression of uncertainty in measurement (G.U.M.). European Pre-Standard ENV 13005. International Organization for Standardization.
    • (1995) Guide to The Expression of Uncertainty In Measurement (G.U.M.)
  • 30
    • 0004066308 scopus 로고
    • Hart, Schaffner & Marx, Houghton Mifflin Company, Boston, Mass
    • Knight, F.H. 1921. Risk, uncertainty and profit. Hart, Schaffner & Marx, Houghton Mifflin Company, Boston, Mass.
    • (1921) Risk, Uncertainty and Profit
    • Knight, F.H.1
  • 31
    • 0020971827 scopus 로고
    • Why should a forecaster and a decision maker use Bayesian theorem
    • doi:10.1029/WR019i002p00327
    • Krzysztofowicz, R. 1983. Why should a forecaster and a decision maker use Bayesian theorem. Water Resources Research, 19(2): 327-336. doi:10.1029/WR019i002p00327.
    • (1983) Water Resources Research , vol.19 , Issue.2 , pp. 327-336
    • Krzysztofowicz, R.1
  • 32
    • 77958035016 scopus 로고    scopus 로고
    • Techniques for generic probabilistic inversion
    • Edited by E.J. Bonano, A.L. Camp, M.J. Majors, and R.A. Thompson. Elsevier, New York
    • Kurowicka, D., and Cooke, R.M. 2002. Techniques for generic probabilistic inversion. In Probabilistic Safety Assessment and Management. Edited by E.J. Bonano, A.L. Camp, M.J. Majors, and R.A. Thompson. Elsevier, New York. pp. 1543-1550.
    • (2002) Probabilistic Safety Assessment and Management , pp. 1543-1550
    • Kurowicka, D.1    Cooke, R.M.2
  • 33
    • 20344370293 scopus 로고    scopus 로고
    • Separating natural and epistemic uncertainty in flood frequency analysis
    • doi:10.1016/j.jhydrol.2004.11.015
    • Merz, B., and Thieken, A.H. 2005. Separating natural and epistemic uncertainty in flood frequency analysis. Journal of Hydrology (Amsterdam), 309(1-4): 114-132. doi:10.1016/j.jhydrol.2004.11.015.
    • (2005) Journal of Hydrology (Amsterdam) , vol.309 , Issue.1-4 , pp. 114-132
    • Merz, B.1    Thieken, A.H.2
  • 35
    • 33745445005 scopus 로고    scopus 로고
    • Ignorance is bliss. Or seven reasons not to use uncertainty analysis
    • doi:10.1029/2005WR004820
    • Pappenberger, F., and Beven, K.J. 2006. Ignorance is bliss. Or seven reasons not to use uncertainty analysis. Water Resources Research, 42(5): W05302. doi:10.1029/2005WR004820.
    • (2006) Water Resources Research , vol.42 , Issue.5
    • Pappenberger, F.1    Beven, K.J.2
  • 36
    • 77956393997 scopus 로고    scopus 로고
    • Some useful features of the Bayesian setting while dealing with uncertainties in industrial practice
    • Czech Republic, 7-10 September 2009, Prague
    • Pasanisi, A., de Rocquigny, E., Bousquet, N., and Parent, E. 2009. Some useful features of the Bayesian setting while dealing with uncertainties in industrial practice. In Proceedings of ESREL-09, Annual Conference, Czech Republic, 7-10 September 2009, Prague.
    • (2009) Proceedings of ESREL-09, Annual Conference
    • Pasanisi, A.1    de Rocquigny, E.2    Bousquet, N.3    Parent, E.4
  • 37
    • 0030286892 scopus 로고    scopus 로고
    • Uncertainties in risk analysis: Six levels of treatment
    • doi:10.1016/S0951-8320(96)00067-1
    • Paté-Cornell, M.E. 1996. Uncertainties in risk analysis: Six levels of treatment. Reliability Engineering & System Safety, 54(2-3): 95-111. doi:10.1016/S0951-8320(96)00067-1.
    • (1996) Reliability Engineering & System Safety , vol.54 , Issue.2-3 , pp. 95-111
    • Paté-Cornell, M.E.1
  • 38
    • 0036784363 scopus 로고    scopus 로고
    • Flood risk and flood management
    • doi:10.1016/S0022-1694(02)00135-X
    • Plate, E.J. 2002. Flood risk and flood management. Journal of Hydrology (Amsterdam), 267(1-2): 2-11. doi:10.1016/S0022-1694(02)00135-X.
    • (2002) Journal of Hydrology (Amsterdam) , vol.267 , Issue.1-2 , pp. 2-11
    • Plate, E.J.1
  • 39
    • 0001942155 scopus 로고    scopus 로고
    • Bayesian calibration of flood inundation models
    • Edited by M.G. Anderson, D.E. Walling, and P.D. Bates
    • Romanowicz, R., Beven, K.J., and Tawn, J. 1996. Bayesian calibration of flood inundation models. In Floodplain Processes. Edited by M.G. Anderson, D.E. Walling, and P.D. Bates. pp. 333-360.
    • (1996) Floodplain Processes , pp. 333-360
    • Romanowicz, R.1    Beven, K.J.2    Tawn, J.3
  • 47
    • 23644460458 scopus 로고    scopus 로고
    • Quantitative analysis of variability and uncertainty with known measurement error: Methodology and case study
    • doi:10.1111/j. 1539-6924.2005.00620.x. PMID:16022698.
    • Zheng, J., and Frey, H.C. 2005. Quantitative analysis of variability and uncertainty with known measurement error: methodology and case study. Risk Analysis, 25(3): 663-675. doi:10.1111/j. 1539-6924.2005.00620.x. PMID:16022698.
    • (2005) Risk Analysis , vol.25 , Issue.3 , pp. 663-675
    • Zheng, J.1    Frey, H.C.2


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