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Lecture (4)Lecture (4)
Stochastic ModelsStochastic Models
forfor
Site Characterization:Site Characterization:
Computer ExerciseComputer Exercise
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Lx
-15
-14
-13
-12
-11
-10
-9
-8
-7
-6
-5
-4
-3
-2
-1
0
Ly
MVG.exeMVG.exe
MVG.dat: This file contains
1 2 GEOKX, SDZKX
0.5 1 GEOKY, SDZKY
0.2 6 RXY (value between 0 and 1), MCLASS
15 15 LX, LY
2 2 1000 LAMDAX, LAMDAY, MC
1 1 DX, DY
1999999 20 12 SEED, IB, KNORM
0 0 2 -2 X1, Y1, X2, Y2
NNG.exeNNG.exe
Input data for NNG:
NNG.dat: This file contains
1 2 GEOKX, SDZKX
0.5 1 GEOKY, SDZKY
0.2 6 RXY (value between 0 and 1), MCLASS
15 15 LX, LY
0.87 0.87 1000 0<ALPHAX<1, <0ALPHAY<1, MC
1 1 DX, DY
1999999 20 20 SEED, IB, KNORM
TBG.exeTBG.exe
TBG.DAT
1 2 GEOKX, SDZKX
05 1 GEOKY, SDZKY
0.2 6 RXY (value between 0 and 1), MCLASS
15 15 LX, LY
2.0 2.0 100 LAMBDAX, LAMBDAY, MC
1.0 1.0 DX, DY
20 3 0.1 0 No. of lines, Coefficient, disceretization on
the line process, switch to choose for
random lines (1) or evenly spaced lines (0).
0.25 100 Dk (spectral discretization),Max.
Harmonics
1999999 20 12 SEED, IB, KNORM
GEOMARKOV.exeGEOMARKOV.exe
3, 9991, 1 No. of states, Seed, no. of realizations to be
generated (max. 99)
100., 30. LX, LY
10., 0.5 DX, DY
0.70 0.15 0.15 3x3 Horizontal transition probability matrix
0.15 0.70 0.15
0.15 0.15 0.70
0.34 0.33 0.33 3x3 Vertical transition probability matrix
0.34 0.33 0.33
0.34 0.33 0.33
MRKOVTB.exeMRKOVTB.exe
Geo.grd
10, 0.5, 1 No. of lines, discretization on the line, Switch (0 evenly spaced lines or 1 for random
lines)
0.5, 20 discretization of the spectrum, max. harmonics
99991, 10, 30, 1 seed, no. of classes for individual pdf, no. of classes for joint pdf, switch (0 for
no variance,1 for given variance)
1 no. of profiles
100. X-location of the profile
4 no. of states
1.,1.,20.0,5.0 (kbar, var, lx and ly)
10.,10.,20.0,5.0
50.,50.,20.0,5.0
100.,100.,20.0,5.0

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Lecture 4: Stochastic Hydrology (Site Characterization)

  • 1. Lecture (4)Lecture (4) Stochastic ModelsStochastic Models forfor Site Characterization:Site Characterization: Computer ExerciseComputer Exercise
  • 2. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Lx -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 Ly
  • 3. MVG.exeMVG.exe MVG.dat: This file contains 1 2 GEOKX, SDZKX 0.5 1 GEOKY, SDZKY 0.2 6 RXY (value between 0 and 1), MCLASS 15 15 LX, LY 2 2 1000 LAMDAX, LAMDAY, MC 1 1 DX, DY 1999999 20 12 SEED, IB, KNORM 0 0 2 -2 X1, Y1, X2, Y2
  • 4. NNG.exeNNG.exe Input data for NNG: NNG.dat: This file contains 1 2 GEOKX, SDZKX 0.5 1 GEOKY, SDZKY 0.2 6 RXY (value between 0 and 1), MCLASS 15 15 LX, LY 0.87 0.87 1000 0<ALPHAX<1, <0ALPHAY<1, MC 1 1 DX, DY 1999999 20 20 SEED, IB, KNORM
  • 5. TBG.exeTBG.exe TBG.DAT 1 2 GEOKX, SDZKX 05 1 GEOKY, SDZKY 0.2 6 RXY (value between 0 and 1), MCLASS 15 15 LX, LY 2.0 2.0 100 LAMBDAX, LAMBDAY, MC 1.0 1.0 DX, DY 20 3 0.1 0 No. of lines, Coefficient, disceretization on the line process, switch to choose for random lines (1) or evenly spaced lines (0). 0.25 100 Dk (spectral discretization),Max. Harmonics 1999999 20 12 SEED, IB, KNORM
  • 6. GEOMARKOV.exeGEOMARKOV.exe 3, 9991, 1 No. of states, Seed, no. of realizations to be generated (max. 99) 100., 30. LX, LY 10., 0.5 DX, DY 0.70 0.15 0.15 3x3 Horizontal transition probability matrix 0.15 0.70 0.15 0.15 0.15 0.70 0.34 0.33 0.33 3x3 Vertical transition probability matrix 0.34 0.33 0.33 0.34 0.33 0.33
  • 7. MRKOVTB.exeMRKOVTB.exe Geo.grd 10, 0.5, 1 No. of lines, discretization on the line, Switch (0 evenly spaced lines or 1 for random lines) 0.5, 20 discretization of the spectrum, max. harmonics 99991, 10, 30, 1 seed, no. of classes for individual pdf, no. of classes for joint pdf, switch (0 for no variance,1 for given variance) 1 no. of profiles 100. X-location of the profile 4 no. of states 1.,1.,20.0,5.0 (kbar, var, lx and ly) 10.,10.,20.0,5.0 50.,50.,20.0,5.0 100.,100.,20.0,5.0