메뉴 건너뛰기




Volumn 24, Issue 8, 2010, Pages 1211-1223

Using data assimilation method to calibrate a heterogeneous conductivity field conditioning on transient flow test data

Author keywords

Boundary condition; Data assimilation; Ensemble Kalman filter; Heterogeneity; Hydraulic conductivity; Transient flow

Indexed keywords

DATA ASSIMILATION; DATA ASSIMILATION METHODS; DIRICHLET; ENSEMBLE KALMAN FILTER; FIELD CALIBRATION; HETEROGENEITY; HYDRAULIC BOUNDARIES; HYDRAULIC HEADS; MODEL PARAMETERS; MODEL VARIABLES; NEUMANN BOUNDARY; NUMERICAL SIMULATION; OBSERVATION WELLS; PUMPING TEST DATA; SIMULATION RESULT; TRANSIENT FLOW; TWO-DIMENSIONAL FLOW;

EID: 78649346160     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0392-1     Document Type: Article
Times cited : (22)

References (63)
  • 1
    • 33645875289 scopus 로고    scopus 로고
    • Assimilating remotely sensed snow observations into a macroscale hydrology model
    • Andreadis KM, Lettenmaier DP (2006) Assimilating remotely sensed snow observations into a macroscale hydrology model. Adv Water Resour 29(6): 872-886.
    • (2006) Adv Water Resour , vol.29 , Issue.6 , pp. 872-886
    • Andreadis, K.M.1    Lettenmaier, D.P.2
  • 2
    • 0141453411 scopus 로고    scopus 로고
    • Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model
    • Aubert D, Loumagne C, Oudin L (2003) Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model. J Hydrol 280: 145-161.
    • (2003) J Hydrol , vol.280 , pp. 145-161
    • Aubert, D.1    Loumagne, C.2    Oudin, L.3
  • 3
    • 0035546432 scopus 로고    scopus 로고
    • lr2dinv: a finite-difference model for inverse analysis of two dimensional linear or radial groundwater flow
    • Bohlin CG, James JBJ (2001) lr2dinv: a finite-difference model for inverse analysis of two dimensional linear or radial groundwater flow. Comput Geosci 27: 1147-1156.
    • (2001) Comput Geosci , vol.27 , pp. 1147-1156
    • Bohlin, C.G.1    James, J.B.J.2
  • 6
    • 33746216685 scopus 로고    scopus 로고
    • Data assimilation for transient flow in geologic formations via Ensemble Kalman Filter
    • Chen Y, Zhang D (2006) Data assimilation for transient flow in geologic formations via Ensemble Kalman Filter. Adv Water Resour 29: 1107-1122.
    • (2006) Adv Water Resour , vol.29 , pp. 1107-1122
    • Chen, Y.1    Zhang, D.2
  • 7
    • 0036704530 scopus 로고    scopus 로고
    • On the assimilation of uncertainty physical knowledge bases: Bayesian and non-Bayesian techniques
    • Christakos G (2002) On the assimilation of uncertainty physical knowledge bases: Bayesian and non-Bayesian techniques. Adv Water Resour 25: 1257-1274.
    • (2002) Adv Water Resour , vol.25 , pp. 1257-1274
    • Christakos, G.1
  • 8
    • 23644442417 scopus 로고    scopus 로고
    • Methodological developments in geophysical assimilation modeling
    • 2004RG000163
    • Christakos G (2005) Methodological developments in geophysical assimilation modeling. Rev Geophys 43: 2004RG000163, 1-10.
    • (2005) Rev Geophys , vol.43 , pp. 1-10
    • Christakos, G.1
  • 9
    • 33646455624 scopus 로고    scopus 로고
    • Assimilation of snow covered area information into hydrologic and land-surface models
    • Clark MP, Slater AG, Barrett AP (2006) Assimilation of snow covered area information into hydrologic and land-surface models. Adv Water Resour 29(8): 1209-1221.
    • (2006) Adv Water Resour , vol.29 , Issue.8 , pp. 1209-1221
    • Clark, M.P.1    Slater, A.G.2    Barrett, A.P.3
  • 10
    • 85040897227 scopus 로고
    • New York: Cambridge University Press
    • Delay R (1991) Atmospheric data analysis. Cambridge University Press, New York, p 457.
    • (1991) Atmospheric Data Analysis , pp. 457
    • Delay, R.1
  • 12
    • 33644624752 scopus 로고    scopus 로고
    • Calibration framework for a Kalman filter applied to a groundwater model
    • Drecourt JP, Madsen H, Rosbjerg D (2006) Calibration framework for a Kalman filter applied to a groundwater model. Adv Water Resour 29(5): 719-734.
    • (2006) Adv Water Resour , vol.29 , Issue.5 , pp. 719-734
    • Drecourt, J.P.1    Madsen, H.2    Rosbjerg, D.3
  • 13
    • 0037099499 scopus 로고    scopus 로고
    • An ensemble Kalman filter with a 1-D ecosystem model
    • Eknes M, Evensen G (2002) An ensemble Kalman filter with a 1-D ecosystem model. J Mar Syst 36: 75-100.
    • (2002) J Mar Syst , vol.36 , pp. 75-100
    • Eknes, M.1    Evensen, G.2
  • 14
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G (1994) Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99(C5): 10. 143-10. 162.
    • (1994) J Geophys Res , vol.99 , Issue.C5 , pp. 143-162
    • Evensen, G.1
  • 15
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: theoretical formulation and practical implementation
    • Evensen G (2003) The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn 253: 343-367.
    • (2003) Ocean Dyn , vol.253 , pp. 343-367
    • Evensen, G.1
  • 16
    • 10844229034 scopus 로고    scopus 로고
    • Sampling strategies and square root analysis schemes for the EnKF
    • Evensen G (2004) Sampling strategies and square root analysis schemes for the EnKF. Ocean Dyn 54: 539-560.
    • (2004) Ocean Dyn , vol.54 , pp. 539-560
    • Evensen, G.1
  • 19
    • 58849099486 scopus 로고    scopus 로고
    • Ensemble Kalman filtering versus sequential self-calibration for inver modeling of dynamic groundwater flow systems
    • doi: 10. 1016/j. jhydrol. 2008. 11. 033
    • Franssen HJH, Kinzelbach W (2009) Ensemble Kalman filtering versus sequential self-calibration for inver modeling of dynamic groundwater flow systems. J Hydrol. doi: 10. 1016/j. jhydrol. 2008. 11. 033.
    • (2009) J Hydrol
    • Franssen, H.J.H.1    Kinzelbach, W.2
  • 20
    • 22544460244 scopus 로고    scopus 로고
    • History matching of the PUNQ-S3 reservoir model using the ensemble kalman filter
    • Gu Y, Oliver DS (2005) History matching of the PUNQ-S3 reservoir model using the ensemble kalman filter. SPE J 10(2): 217-224.
    • (2005) SPE J , vol.10 , Issue.2 , pp. 217-224
    • Gu, Y.1    Oliver, D.S.2
  • 21
    • 33745949093 scopus 로고    scopus 로고
    • The ensemble Kalman filter for continuous updating of reservoir simulation models
    • Gu Y, Oliver DS (2006) The ensemble Kalman filter for continuous updating of reservoir simulation models. J Energy Res Technol-Trans ASME 128(1): 79-87.
    • (2006) J Energy Res Technol-Trans ASME , vol.128 , Issue.1 , pp. 79-87
    • Gu, Y.1    Oliver, D.S.2
  • 22
    • 0021639958 scopus 로고
    • An application of the statistical approach to the inverse problem in two-dimensional groundwater modeling
    • Hoeksema RJ, Kitanidis PK (1984) An application of the statistical approach to the inverse problem in two-dimensional groundwater modeling. Water Resour Res 20(7): 1003-1020.
    • (1984) Water Resour Res , vol.20 , Issue.7 , pp. 1003-1020
    • Hoeksema, R.J.1    Kitanidis, P.K.2
  • 23
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman Filter technique
    • Houtekamer PL, Mitchell HL (1998) Data assimilation using an ensemble Kalman Filter technique. Mon Weather Rev 126: 796-811.
    • (1998) Mon Weather Rev , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 24
    • 69349092057 scopus 로고    scopus 로고
    • Examining the influence of heterogeneous porosity fields on conservative solute transport
    • Hu BX, Meerschaert MM, Barrash W, Hyndman D, He C, Li X, Guo L (2009) Examining the influence of heterogeneous porosity fields on conservative solute transport. J Contam Hydrol 108(3-4): 77-88.
    • (2009) J Contam Hydrol , vol.108 , Issue.3-4 , pp. 77-88
    • Hu, B.X.1    Meerschaert, M.M.2    Barrash, W.3    Hyndman, D.4    He, C.5    Li, X.6    Guo, L.7
  • 25
    • 39749149760 scopus 로고    scopus 로고
    • Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter
    • Huang C, Li X, Lu L, Gu J (2008a) Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter. Remote Sens Environ 112(3): 888-900.
    • (2008) Remote Sens Environ , vol.112 , Issue.3 , pp. 888-900
    • Huang, C.1    Li, X.2    Lu, L.3    Gu, J.4
  • 26
    • 40649129474 scopus 로고    scopus 로고
    • Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter
    • Huang C, Li X, Lu L (2008b) Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter. Remote Sens Environ 112(4): 1320-1336.
    • (2008) Remote Sens Environ , vol.112 , Issue.4 , pp. 1320-1336
    • Huang, C.1    Li, X.2    Lu, L.3
  • 27
    • 71149113996 scopus 로고    scopus 로고
    • Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source
    • doi: 10. 1007/s00477-008-0289-4
    • Huang C, Bill X. H. Li X, Ye M (2009) Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source. Stoch Environ Res Risk Assess doi: 10. 1007/s00477-008-0289-4.
    • (2009) Stoch Environ Res Risk Assess
    • Huang, C.1    Bill, X.H.2    Li, X.3    Ye, M.4
  • 29
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman RE (1960) A new approach to linear filtering and prediction problems. Trans AsME 82(Series D): 35-45.
    • (1960) Trans AsME , vol.82 , Issue.Series D , pp. 35-45
    • Kalman, R.E.1
  • 30
    • 47049102207 scopus 로고    scopus 로고
    • Soil moisture updating by ensemble Kalman filtering in real-time flood forecasting
    • Komma J, Bloschl G, Reszler C (2008) Soil moisture updating by ensemble Kalman filtering in real-time flood forecasting. J Hydrol 357: 228-242.
    • (2008) J Hydrol , vol.357 , pp. 228-242
    • Komma, J.1    Bloschl, G.2    Reszler, C.3
  • 31
    • 36049049811 scopus 로고    scopus 로고
    • Application of an Ensemble Kalman filter to a 1-D coupled Hydrodynamic-ecosystem model of the Ligurian Sea
    • doi: 10. 1016/j. jmarsys. 2006. 12. 001
    • Lenartz F, Raick C, Soetaert K, Gregoire M (2007) Application of an Ensemble Kalman filter to a 1-D coupled Hydrodynamic-ecosystem model of the Ligurian Sea. J Mar Syst doi: 10. 1016/j. jmarsys. 2006. 12. 001.
    • (2007) J Mar Syst
    • Lenartz, F.1    Raick, C.2    Soetaert, K.3    Gregoire, M.4
  • 32
    • 36648998731 scopus 로고    scopus 로고
    • Uncertainty in hydrologic modeling: toward an integrated data assimilation framework
    • doi:10.1029/2006WR005756
    • Liu Y, Gupta HV (2007) Uncertainty in hydrologic modeling: toward an integrated data assimilation framework. Water Resour Res 43: W07401. doi: 10. 1029/2006WR005756.
    • (2007) Water Resour Res , vol.43
    • Liu, Y.1    Gupta, H.V.2
  • 33
    • 0036704805 scopus 로고    scopus 로고
    • An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering
    • Mclaughlin D (2002) An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering. Adv Water Resour 25: 1275-1286.
    • (2002) Adv Water Resour , vol.25 , pp. 1275-1286
    • McLaughlin, D.1
  • 34
    • 0029667847 scopus 로고    scopus 로고
    • A reassessment of the groundwater inverse problem
    • Mclaughlin D, Townley LR (1996) A reassessment of the groundwater inverse problem. Water Resour Res 32(5): 1131-1161.
    • (1996) Water Resour Res , vol.32 , Issue.5 , pp. 1131-1161
    • McLaughlin, D.1    Townley, L.R.2
  • 35
    • 11944268965 scopus 로고    scopus 로고
    • Dual state-parameter estimation of hydrological models using ensemble Kalman filter
    • Moradkhani HS, Sorooshian H, Gupta V, Houser PR (2005) Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Adv Water Resour 28: 135-147.
    • (2005) Adv Water Resour , vol.28 , pp. 135-147
    • Moradkhani, H.S.1    Sorooshian, H.2    Gupta, V.3    Houser, P.R.4
  • 36
    • 1142264447 scopus 로고    scopus 로고
    • Reservoir monitoring and continuous model updating using ensemble Kalman filter
    • doi: 10. 2118/84372-MS
    • Naevdal G, Johnsen LM, Aanonsen SI, Vefring EH (2003) Reservoir monitoring and continuous model updating using ensemble Kalman filter. SPE. doi: 10. 2118/84372-MS.
    • (2003) SPE
    • Naevdal, G.1    Johnsen, L.M.2    Aanonsen, S.I.3    Vefring, E.H.4
  • 37
    • 0037547174 scopus 로고    scopus 로고
    • Assimilation of ocean colour data into a biochemical model of the North Atlantic Par 1. Data assimilation experiments
    • Natvik L-J, Evensen G (2003) Assimilation of ocean colour data into a biochemical model of the North Atlantic Par 1. Data assimilation experiments. J Mar Syst 40-41: 127-153.
    • (2003) J Mar Syst , vol.40-41 , pp. 127-153
    • Natvik, L.-J.1    Evensen, G.2
  • 38
    • 33846902025 scopus 로고    scopus 로고
    • Data assimilation with the ensemble Kalman Filter and the SEIK filter applied to a finite element model of the North Atlantic
    • Nerger L, Danilov S, Kivman G, Hiller W, Schroter J (2007) Data assimilation with the ensemble Kalman Filter and the SEIK filter applied to a finite element model of the North Atlantic. J Mar Syst 65: 288-298.
    • (2007) J Mar Syst , vol.65 , pp. 288-298
    • Nerger, L.1    Danilov, S.2    Kivman, G.3    Hiller, W.4    Schroter, J.5
  • 39
    • 0019227492 scopus 로고
    • A statistical approach to the inverse problem of aquifer hydrology: 3. Improved solution method and added perspective
    • Neuman SP (1980) A statistical approach to the inverse problem of aquifer hydrology: 3. Improved solution method and added perspective. Water Resour Res 16(2): 331-346.
    • (1980) Water Resour Res , vol.16 , Issue.2 , pp. 331-346
    • Neuman, S.P.1
  • 42
    • 33746087111 scopus 로고    scopus 로고
    • Data assimilation for estimating the terrestrial water budget using a constrained ensemble Kalman filter
    • Pan M, Wood EF (2006) Data assimilation for estimating the terrestrial water budget using a constrained ensemble Kalman filter. J Hydrometeorol 7(3): 534-547.
    • (2006) J Hydrometeorol , vol.7 , Issue.3 , pp. 534-547
    • Pan, M.1    Wood, E.F.2
  • 43
    • 0031105936 scopus 로고    scopus 로고
    • Inverse models: a necessary next step in ground-water modeling
    • Poeter EP, Hill MC (1997) Inverse models: a necessary next step in ground-water modeling. Ground water 35(2): 250-260.
    • (1997) Ground Water , vol.35 , Issue.2 , pp. 250-260
    • Poeter, E.P.1    Hill, M.C.2
  • 44
    • 54949158157 scopus 로고    scopus 로고
    • Data assimilation methods in the Earth sciences
    • doi: 10. 1016/j. advwatres. 2008. 01. 001
    • Reichle RH (2008) Data assimilation methods in the Earth sciences. Adv Water Resour. doi: 10. 1016/j. advwatres. 2008. 01. 001.
    • (2008) Adv Water Resour
    • Reichle, R.H.1
  • 45
    • 0036322061 scopus 로고    scopus 로고
    • Hydrologic data assimilation with the ensemble Kalman filter
    • Reichle RH, Mclaughlin DB, Entekhabi D (2002a) Hydrologic data assimilation with the ensemble Kalman filter. Mon Weather Rev 130: 103-114.
    • (2002) Mon Weather Rev , vol.130 , pp. 103-114
    • Reichle, R.H.1    McLaughlin, D.B.2    Entekhabi, D.3
  • 46
    • 0036960475 scopus 로고    scopus 로고
    • Extended versus ensemble filtering for land data assimilation
    • Reichle RH, Walker JP, Koster RD (2002b) Extended versus ensemble filtering for land data assimilation. J Hydrometeorol 3: 728-740.
    • (2002) J Hydrometeorol , vol.3 , pp. 728-740
    • Reichle, R.H.1    Walker, J.P.2    Koster, R.D.3
  • 47
    • 2542623205 scopus 로고    scopus 로고
    • Data assimilation in hydrodynamic modeling: on the treatment of nonlinearlity and bias
    • Sorensen JVT, Madsen H, Madsen H (2004) Data assimilation in hydrodynamic modeling: on the treatment of nonlinearlity and bias. Stoch Environ Res Risk Assess 18: 228-244.
    • (2004) Stoch Environ Res Risk Assess , vol.18 , pp. 228-244
    • Sorensen, J.V.T.1    Madsen, H.2    Madsen, H.3
  • 48
    • 24344473704 scopus 로고    scopus 로고
    • Parameter sensitivity of three Kalman filter schemes for assimilation of water levels in shelf sea models
    • Sorensen JVT, Madsen H, Madsen H (2006) Parameter sensitivity of three Kalman filter schemes for assimilation of water levels in shelf sea models. Ocean Model 11: 441-463.
    • (2006) Ocean Model , vol.11 , pp. 441-463
    • Sorensen, J.V.T.1    Madsen, H.2    Madsen, H.3
  • 50
    • 0027088065 scopus 로고
    • A stochastic inverse solution for transient groundwater flow: parameter identification and reliability analysis
    • Sun NZ, Yeh W-G (1992) A stochastic inverse solution for transient groundwater flow: parameter identification and reliability analysis. Water Resour Res 28(12): 3269-3280.
    • (1992) Water Resour Res , vol.28 , Issue.12 , pp. 3269-3280
    • Sun, N.Z.1    Yeh, W.-G.2
  • 51
    • 41349090836 scopus 로고    scopus 로고
    • Development of a data assimilation algorithm
    • Thomsen PG, Zlatev Z (2008) Development of a data assimilation algorithm. Comput Math Appl 55: 2381-2393.
    • (2008) Comput Math Appl , vol.55 , pp. 2381-2393
    • Thomsen, P.G.1    Zlatev, Z.2
  • 52
    • 56449085264 scopus 로고    scopus 로고
    • A Kalman filter based strategy for linear structural system identification based on multiple static and dynamic test data
    • doi: 10. 1016/j. probengmech. 2008. 01. 001
    • Tipireddy R, Nasrellah HA, Manohar CS (2008) A Kalman filter based strategy for linear structural system identification based on multiple static and dynamic test data. Probab Eng Mech. doi: 10. 1016/j. probengmech. 2008. 01. 001.
    • (2008) Probab Eng Mech
    • Tipireddy, R.1    Nasrellah, H.A.2    Manohar, C.S.3
  • 53
    • 0026277678 scopus 로고
    • Using Kalman filtering to improve and quantifying the uncertainty of numerical groundwater simulations: 1. The role of system noise and its calibration
    • van Geer FC, Te Stroet CBM, Zhou X (1991) Using Kalman filtering to improve and quantifying the uncertainty of numerical groundwater simulations: 1. The role of system noise and its calibration. Water Resour Res 27(8): 1987-1994.
    • (1991) Water Resour Res , vol.27 , Issue.8 , pp. 1987-1994
    • van Geer, F.C.1    Te Stroet, C.B.M.2    Zhou, X.3
  • 54
    • 33750367168 scopus 로고    scopus 로고
    • Model inversion of transient nonlinear groundwater flow models using model reduction
    • doi:10.1029/2005WR004536
    • Vermeulen PTM, Stroet CBM, Heemink AW (2006) Model inversion of transient nonlinear groundwater flow models using model reduction. Water Resour Res 42: W09417. doi: 10. 1029/2005WR004536.
    • (2006) Water Resour Res , vol.42
    • Vermeulen, P.T.M.1    Stroet, C.B.M.2    Heemink, A.W.3
  • 55
    • 14944365603 scopus 로고    scopus 로고
    • Improved treatment of uncertainty in hydrologic modeling: combining the strengths of global optimization and data assimilation
    • doi:10.1029/2004WR003059
    • Vrugt JA, Diks CGH, Gupta HV, Bouten W, Verstraten JM (2005a) Improved treatment of uncertainty in hydrologic modeling: combining the strengths of global optimization and data assimilation. Water Resour Res 41: W01017. doi: 10. 1029/2004WR003059.
    • (2005) Water Resour Res , vol.41
    • Vrugt, J.A.1    Diks, C.G.H.2    Gupta, H.V.3    Bouten, W.4    Verstraten, J.M.5
  • 56
    • 27744595678 scopus 로고    scopus 로고
    • Improved inverse modeling for flow and transport in subsurface media: combined parameter and state estimation
    • doi:10.1029/2005GL023940
    • Vrugt JA, Robinson BA, Vesselinov VV (2005b) Improved inverse modeling for flow and transport in subsurface media: combined parameter and state estimation. Geophys Res Lett 32: L18408. doi: 10. 1029/2005GL023940.
    • (2005) Geophys Res Lett , vol.32
    • Vrugt, J.A.1    Robinson, B.A.2    Vesselinov, V.V.3
  • 57
    • 33846187189 scopus 로고    scopus 로고
    • Real-time reservoir model updating using ensemble Kalman filter
    • Wen X-H, Chen W-H (2005) Real-time reservoir model updating using ensemble Kalman filter. SPE J 11(4): 431-442.
    • (2005) SPE J , vol.11 , Issue.4 , pp. 431-442
    • Wen, X.-H.1    Chen, W.-H.2
  • 58
    • 0026268832 scopus 로고
    • Using Kalman filtering to improve and quantifying the uncertainty of numerical groundwater simulation: 2. Application to monitoring network design
    • Yangxiao Z, Testroet CBM, van Geer FC (1991) Using Kalman filtering to improve and quantifying the uncertainty of numerical groundwater simulation: 2. Application to monitoring network design. Water Resour Res 27(8): 1995-2006.
    • (1991) Water Resour Res , vol.27 , Issue.8 , pp. 1995-2006
    • Yangxiao, Z.1    Testroet, C.B.M.2    van Geer, F.C.3
  • 59
    • 0033867377 scopus 로고    scopus 로고
    • Hydraulic tomography: development of a new aquifer test method
    • Yeh T-CJ, Liu S (2000) Hydraulic tomography: development of a new aquifer test method. Water Resour Res 36(8): 2095-2105.
    • (2000) Water Resour Res , vol.36 , Issue.8 , pp. 2095-2105
    • Yeh, T.-C.J.1    Liu, S.2
  • 60
    • 0030497602 scopus 로고    scopus 로고
    • A geostatistical inverse method for variably saturated flow in the vadose zone
    • Yeh T-CJ, Zhang J (1996) A geostatistical inverse method for variably saturated flow in the vadose zone. Water Resour Res 32(9): 2757-2766.
    • (1996) Water Resour Res , vol.32 , Issue.9 , pp. 2757-2766
    • Yeh, T.-C.J.1    Zhang, J.2
  • 61
    • 34247278161 scopus 로고    scopus 로고
    • Dynamic reservoir data assimilation with an efficient, dimension-reduced Kalman filter
    • Zhang D, Lu Z, Chen Y (2007) Dynamic reservoir data assimilation with an efficient, dimension-reduced Kalman filter. SPE J 12(1): 108-117.
    • (2007) SPE J , vol.12 , Issue.1 , pp. 108-117
    • Zhang, D.1    Lu, Z.2    Chen, Y.3
  • 62
    • 23944504722 scopus 로고    scopus 로고
    • Characterization of aquifer heterogeneity using transient hydraulic tomography
    • doi:10.1029/2004WR003790
    • Zhu J, Yeh T-CJ (2005) Characterization of aquifer heterogeneity using transient hydraulic tomography. Water Resour Res 41: W07028. doi: 10. 1029/2004WR003790.
    • (2005) Water Resour Res , vol.41
    • Zhu, J.1    Yeh, T.-C.J.2
  • 63
    • 0031748188 scopus 로고    scopus 로고
    • A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow
    • others
    • Zimmerman DA, others (1998) A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow. Water Resour Res 34(6): 1373-1413.
    • (1998) Water Resour Res , vol.34 , Issue.6 , pp. 1373-1413
    • Zimmerman, D.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.