메뉴 건너뛰기




Volumn 47, Issue 5, 2009, Pages 727-744

Global sensitivity analysis techniques for probabilistic ground water modeling

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GROUNDWATER; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; REGRESSION ANALYSIS;

EID: 69949162102     PISSN: 0017467X     EISSN: 17456584     Source Type: Journal    
DOI: 10.1111/j.1745-6584.2009.00604.x     Document Type: Review
Times cited : (56)

References (57)
  • 2
    • 17044457452 scopus 로고    scopus 로고
    • Radionuclide transport simulation and uncertainty analyses with the saturated-zone site-scale model at Yucca Mountain, Nevada
    • DOI 10.1016/S0169-7722(02)00158-4
    • Arnold, B.W., S.P. Kuzio, and B. Robinson. 2003. Radionuclide transport simulation and uncertainty analyses with the saturated-zone site-scale model at Yucca Mountain, Nevada. Journal of Contaminant Hydrology 62-63, 401 419. (Pubitemid 36469257)
    • (2003) Journal of Contaminant Hydrology , vol.62-63 , pp. 401-419
    • Arnold, B.W.1    Kuzio, S.P.2    Robinson, B.A.3
  • 5
    • 0036760698 scopus 로고    scopus 로고
    • Use of sensitivity and uncertainty measures in distributed hydrological modeling with an application to the MIKE-SHE model.
    • and. no.
    • Christiaens, K., and J. Feyen. 2002. Use of sensitivity and uncertainty measures in distributed hydrological modeling with an application to the MIKE-SHE model. Water Resources Research 38, no. 9 : 810 815.
    • (2002) Water Resources Research , vol.38 , Issue.9 , pp. 810-815
    • Christiaens, K.1    Feyen, J.2
  • 6
    • 0000173488 scopus 로고
    • Tree-based models
    • and. In. ed. J.M. Chambers. and. T.J. Hastie. chap. 9. New York. Chapman and Hall.
    • Clark, L.A., and D. Pregibon. 1992. Tree-based models. In Statistical Models in S, ed. J.M. Chambers and T.J. Hastie, chap. 9. New York : Chapman and Hall.
    • (1992) Statistical Models in S
    • Clark, L.A.1    Pregibon, D.2
  • 11
    • 0242723167 scopus 로고    scopus 로고
    • Brisbane. Australia. Watermark Computing.
    • Doherty, J. 2002. Manual for PEST, 5th ed. Brisbane, Australia : Watermark Computing.
    • (2002) Manual for PEST, 5th Ed.
    • Doherty, J.1
  • 13
    • 0037303951 scopus 로고    scopus 로고
    • Sensitivity analysis of distributed environmental simulation models: Understanding the model behaviour in hydrological studies at the catchment scale.
    • and. no.
    • Francos, A., F.J. Elorza, F. Bouraoui, G. Bidoglio, and L. Gabilati. 2003. Sensitivity analysis of distributed environmental simulation models: Understanding the model behaviour in hydrological studies at the catchment scale. Reliability Engineering and System Safety 79, no. 2 : 205 218.
    • (2003) Reliability Engineering and System Safety , vol.79 , Issue.2 , pp. 205-218
    • Francos, A.1    Elorza, F.J.2    Bouraoui, F.3    Bidoglio, G.4    Gabilati, L.5
  • 14
    • 34548696055 scopus 로고
    • Independent coordinates for strange attractors from mutual information.
    • and. no.
    • Fraser, A.M., and H.L. Swinney. 1986. Independent coordinates for strange attractors from mutual information. Physical Review A 33, no. 2 : 1134 1140.
    • (1986) Physical Review A , vol.33 , Issue.2 , pp. 1134-1140
    • Fraser, A.M.1    Swinney, H.L.2
  • 15
    • 84981441535 scopus 로고
    • Using the mutual information coefficient to identify lags in nonlinear models.
    • and
    • Granger, C.W.J., and J. Lin. 1994. Using the mutual information coefficient to identify lags in nonlinear models. Journal of Time Series Analysis 15, 371 384.
    • (1994) Journal of Time Series Analysis , vol.15 , pp. 371-384
    • Granger, C.W.J.1    Lin, J.2
  • 16
    • 0030244122 scopus 로고    scopus 로고
    • Subsurface stormflow modeling with sensitivity analysis using a Latin-hypercube sampling technique.
    • and. no.
    • Gwo, J.P., L.E. Toran, M.D. Morris, and G.V. Wilson. 1996. Subsurface stormflow modeling with sensitivity analysis using a Latin-hypercube sampling technique. Ground Water 34, no. 5 : 811 818.
    • (1996) Ground Water , vol.34 , Issue.5 , pp. 811-818
    • Gwo, J.P.1    Toran, L.E.2    Morris, M.D.3    Wilson, G.V.4
  • 17
    • 0028836085 scopus 로고
    • A comparison of sensitivity analysis techniques.
    • no.
    • Hamby, D.M. 1995. A comparison of sensitivity analysis techniques. Health Physics 68, no. 2 : 195 204.
    • (1995) Health Physics , vol.68 , Issue.2 , pp. 195-204
    • Hamby, D.M.1
  • 19
    • 0037301772 scopus 로고    scopus 로고
    • Probabilistic dose calculations and sensitivity analyses using analytic models.
    • no.
    • Hedin, A. 2003. Probabilistic dose calculations and sensitivity analyses using analytic models. Reliability Engineering and System Safety 79, no. 2 : 195 204.
    • (2003) Reliability Engineering and System Safety , vol.79 , Issue.2 , pp. 195-204
    • Hedin, A.1
  • 20
    • 0027810117 scopus 로고
    • Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal
    • no.
    • Helton, J.C. 1993. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliability Engineering & System Safety 42, no. 2-3 : 327 367.
    • (1993) Reliability Engineering & System Safety , vol.42 , Issue.23 , pp. 327-367
    • Helton, J.C.1
  • 21
    • 0032702976 scopus 로고    scopus 로고
    • Special collection on performance assessment for radioactive waste disposal
    • Helton, J.C. and. D.R. Anderson. ed. no.
    • Helton, J.C., and D.R. Anderson, ed. 1999. Special collection on performance assessment for radioactive waste disposal. Risk Analysis 19, no. 5 : 759 1016.
    • (1999) Risk Analysis , vol.19 , Issue.5 , pp. 759-1016
  • 25
    • 0018876834 scopus 로고
    • Eutrophication in peel inlet: I. the problem defining behavior and a mathematical model for the phosphorus scenario.
    • and
    • Hornberger, G.M., and R.C. Spear. 1980. Eutrophication in peel inlet: I. The problem defining behavior and a mathematical model for the phosphorus scenario. Water Research 14, 29 42.
    • (1980) Water Research , vol.14 , pp. 29-42
    • Hornberger, G.M.1    Spear, R.C.2
  • 26
    • 34247622291 scopus 로고    scopus 로고
    • Are models too simple? Arguments for increased parameterization.
    • and. no.
    • Hunt, R.J., J. Doherty, and M.J. Tonkin. 2007. Are models too simple? Arguments for increased parameterization. Ground Water 45, no. 3 : 254 262.
    • (2007) Ground Water , vol.45 , Issue.3 , pp. 254-262
    • Hunt, R.J.1    Doherty, J.2    Tonkin, M.J.3
  • 28
    • 0018547187 scopus 로고
    • The use of rank transform in regression.
    • and. no.
    • Iman, R.L., and W.J. Conover. 1979. The use of rank transform in regression. Technometrics 21, no. 4 : 499 509.
    • (1979) Technometrics , vol.21 , Issue.4 , pp. 499-509
    • Iman, R.L.1    Conover, W.J.2
  • 29
    • 0026190348 scopus 로고
    • Hierarchical decision tree classifiers in high-dimensional and large class data.
    • and. no.
    • Kim, B., and D. Landgrebe. 1991. Hierarchical decision tree classifiers in high-dimensional and large class data. IEEE Transactions on Geoscience and Remote Sensing 29, no. 4 : 518.
    • (1991) IEEE Transactions on Geoscience and Remote Sensing , vol.29 , Issue.4 , pp. 518
    • Kim, B.1    Landgrebe, D.2
  • 30
    • 0028151307 scopus 로고
    • Decision trees based on automatic learning and their use in cardiology.
    • and. no.
    • Kokol, P., M. Mernik, J. Zavrsnik, and K. Kankler. 1994. Decision trees based on automatic learning and their use in cardiology. Journal of Medical Systems 18, no. 2 : 201.
    • (1994) Journal of Medical Systems , vol.18 , Issue.2 , pp. 201
    • Kokol, P.1    Mernik, M.2    Zavrsnik, J.3    Kankler, K.4
  • 31
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.
    • and. no.
    • McKay, M.D., W.J. Conover, and R.J. Beckman. 1979. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21, no. 3 : 239 245.
    • (1979) Technometrics , vol.21 , Issue.3 , pp. 239-245
    • McKay, M.D.1    Conover, W.J.2    Beckman, R.J.3
  • 33
    • 0032845323 scopus 로고    scopus 로고
    • Sensitivity of concentration and risk predictions in the PRESTO and MMSOILS multimedia models: Regression technique assessment
    • and. no. 511-
    • Mills, W.B., C.S. Lew, and C.Y. Huang. 1999. Sensitivity of concentration and risk predictions in the PRESTO and MMSOILS multimedia models: Regression technique assessment. Risk Analysis 19, no. 3 : 511- 525.
    • (1999) Risk Analysis , vol.19 , Issue.3 , pp. 525
    • Mills, W.B.1    Lew, C.S.2    Huang, C.Y.3
  • 34
    • 0037303173 scopus 로고    scopus 로고
    • Application of classification trees in the sensitivity analysis of probabilistic model results
    • and. no.
    • Mishra, S., N.E. Deeds, and B.S. RamaRao. 2003. Application of classification trees in the sensitivity analysis of probabilistic model results. Reliability Engineering & System Safety 79, no. 2 : 123 129.
    • (2003) Reliability Engineering & System Safety , vol.79 , Issue.2 , pp. 123-129
    • Mishra, S.1    Deeds, N.E.2    Ramarao, B.S.3
  • 37
    • 0024621174 scopus 로고
    • On the estimation of entropy and mutual information of continuous distributions.
    • no.
    • Moddemeijer, R. 1989. On the estimation of entropy and mutual information of continuous distributions. Signal Processing 16, no. 3 : 233 248.
    • (1989) Signal Processing , vol.16 , Issue.3 , pp. 233-248
    • Moddemeijer, R.1
  • 38
    • 20844435676 scopus 로고    scopus 로고
    • Role of the calibration process in reducing model predictive error.
    • and. no. doi 10.1029/2004WR003501.
    • Moore, C.M., and J. Doherty. 2005. Role of the calibration process in reducing model predictive error. Water Resources Research 41, no. 5 : doi 10.1029/2004WR003501.
    • (2005) Water Resources Research , vol.41 , Issue.5
    • Moore, C.M.1    Doherty, J.2
  • 39
    • 84952096573 scopus 로고
    • Factorial sampling plans for preliminary computational experiments.
    • no.
    • Morris, M.D. 1991. Factorial sampling plans for preliminary computational experiments. Technometrics 33, no. 2 : 161 174.
    • (1991) Technometrics , vol.33 , Issue.2 , pp. 161-174
    • Morris, M.D.1
  • 40
    • 18844381609 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model
    • and. no.
    • Muleta, M., and J.W. Nicklow. 2005. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. Journal of Hydrology 306, no. 1-4 : 127 145.
    • (2005) Journal of Hydrology , vol.306 , Issue.14 , pp. 127-145
    • Muleta, M.1    Nicklow, J.W.2
  • 41
    • 18144371990 scopus 로고    scopus 로고
    • The role of electrofacies, lithofacies, and hydraulic flow units in permeability prediction from well logs: A comparative analysis using classification trees
    • and. no.
    • Perez, H.H., A. Datta-Gupta, and S. Mishra. 2005. The role of electrofacies, lithofacies, and hydraulic flow units in permeability prediction from well logs: A comparative analysis using classification trees. SPE Reservoir Engineering & Evaluation 8, no. 2 : 143 155.
    • (2005) SPE Reservoir Engineering & Evaluation , vol.8 , Issue.2 , pp. 143-155
    • Perez, H.H.1    Datta-Gupta, A.2    Mishra, S.3
  • 46
    • 0004237770 scopus 로고    scopus 로고
    • Saltelli, A. K. Chan. and. M. Scott. ed. Chichester, UK. John Wiley.
    • Saltelli, A., K. Chan, and M. Scott, ed. 2000. Sensitivity Analysis. Chichester, UK : John Wiley.
    • (2000) Sensitivity Analysis.
  • 47
    • 0033079533 scopus 로고    scopus 로고
    • A quantitative, model independent method for global sensitivity analysis of model output.
    • and. no.
    • Saltelli, A., S. Tarantola, and K. Chan. 1999. A quantitative, model independent method for global sensitivity analysis of model output. Technometrics 41, no. 1 : 39 56.
    • (1999) Technometrics , vol.41 , Issue.1 , pp. 39-56
    • Saltelli, A.1    Tarantola, S.2    Chan, K.3
  • 48
    • 0029365976 scopus 로고
    • Locating protein coding regions in human DNA using a decision tree algorithm
    • no.
    • Salzberg, S. 1995. Locating protein coding regions in human DNA using a decision tree algorithm. Journal of Computational Biology 2, no. 3 : 473 485.
    • (1995) Journal of Computational Biology , vol.2 , Issue.3 , pp. 473-485
    • Salzberg, S.1
  • 49
  • 50
    • 0022266275 scopus 로고
    • Sensitivity analysis for steady-state ground water flow using adjoint operators
    • and. no.
    • Sykes, J.F., J.L. Wilson, and R.W. Andrews. 1985. Sensitivity analysis for steady-state ground water flow using adjoint operators. Water Resources Research 21, no. 3 : 359 371.
    • (1985) Water Resources Research , vol.21 , Issue.3 , pp. 359-371
    • Sykes, J.F.1    Wilson, J.L.2    Andrews, R.W.3
  • 52
    • 36749091868 scopus 로고    scopus 로고
    • Efficient nonlinear predictive error variance for highly parameterized models.
    • and. W07429. doi:10.1029/2006WR005348.
    • Tonkin, M., J. Doherty, and C. Moore. 2007. Efficient nonlinear predictive error variance for highly parameterized models. Water Resources Research 43, W07429. doi:10.1029/2006WR005348.
    • (2007) Water Resources Research , vol.43
    • Tonkin, M.1    Doherty, J.2    Moore, C.3
  • 53
    • 0003427614 scopus 로고    scopus 로고
    • US EPA. EPA/630/R-97/001. Washington, D.C. U.S. Environmental Protection Agency.
    • US EPA. 1997. Guiding principles for Monte Carlo analysis. EPA/630/R-97/001. Washington, D.C : U.S. Environmental Protection Agency.
    • (1997) Guiding Principles for Monte Carlo Analysis
  • 56
    • 0027624643 scopus 로고
    • Effect of uncertainties in thermodynamic data and model parameters on calculated process performance
    • and. no.
    • Whiting, W.B., T.-M. Tong, and M.E. Reed. 1993. Effect of uncertainties in thermodynamic data and model parameters on calculated process performance. Industrial and Engineering Chemistry Research 32, no. 7 : 1367 1371.
    • (1993) Industrial and Engineering Chemistry Research , vol.32 , Issue.7 , pp. 1367-1371
    • Whiting, W.B.1    Tong, T.-M.2    Reed, M.E.3
  • 57
    • 33745464128 scopus 로고    scopus 로고
    • Understanding parameter sensitivity and its management implications in watershed-scale water quality modeling.
    • and. W05402, doi:10.1029/2005WR004539.
    • Zhang, Y., and A. Keller. 2006. Understanding parameter sensitivity and its management implications in watershed-scale water quality modeling. Water Resources Research 42, W05402, doi:10.1029/2005WR004539.
    • (2006) Water Resources Research , vol.42
    • Zhang, Y.1    Keller, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.