In [1]:
# Import package
from flumy import *
nx = 250 # Number of grid nodes along Ox
ny = 200 # Number of grid nodes along Oy
mesh = 10 # Horizontal grid mesh size: 10m
hmax = 3 # Maximum channel depth: 3m
ng = 30 # Required Net-to-Gross: 30%
isbx = 80 # Required sand bodies extension (medium extension = few meander cutoffs)
verbose = True # Verbose mode
res = 30 # Vertical resolution (increase 'res' to get higher resolution)
dz = hmax / res # Vertical discretization step (0.1m)
zul = 4 * hmax # Fill a reservoir of 4 x hmax height (12m)
nz = int(3 * hmax / dz) # Number of vertical nodes of the resulted block of sediments (9m)
In [2]:
%%javascript
IPython.OutputArea.prototype._should_scroll = function(lines) {
return false;
}
In [3]:
# Launch the simulation
seed = 123456 # Simulation seed
# Create the simulator
flsim = Flumy(nx, ny, mesh, verbose)
# Launch up to zul
success = flsim.launch(seed, hmax, isbx, ng, zul)
if (not success):
print("Error while running Flumy")
Flumy (8.000) / 2025-02-04
Info : Launching Flumy with: - MaxDepth = 3m
- SandBodyIndex = 80,
- NetToGross = 30%
Info : Flumy Non Expert User (standard):
: NEXUS input:
: hmax=3m
: isbx=80
: sand=30%
: adapt_grid=0
: NEXUS output:
: width=30m
: e=4e-08
: slope=0.001
: wavelength=375m
: trav=600it
: tlvb=312it
: tob=39it
: iob=0.1m
: lambda=892m
: Intermediate values:
: hmean=2m
: cf=0.0158(unit?)
: velocity=0.909862m/s
: lambda (raw)=900m
: ios=0.03m
: tav=387.326it
: Forecasts:
: rel_flw_dir=0deg
: adx=2720m
: forecast_sand=30%
: forecast_aggrate=7.99m/10000it
: forecast_migrate=0.34m/it
: Inference constants:
: kvp=0.871513
: kmig=0.749987
: kob=0.6
Info : Iteration 0 : Load upper limit (val=12)
Info : Iteration 0 : Launching system Fluvial
Info : Iteration 0 : Automatic channel creation
Info : Steepest Channel Creation Success
Info : Iteration 15 : Overbank Flow
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Info : Iteration 100 : Overbank Flow
Info : Iteration 168 : Levee Breaches (others)
Info : Local Avulsion Success - New path downstream
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Info : Iteration 526 : Levee Breaches (others)
Info : Local Avulsion Success - Chute cutoff (no splay)
Info : Local Avulsion Success - Chute cutoff (no splay)
Info : Iteration 548 : Overbank Flow
Info : Iteration 582 : Levee Breaches (others)
Info : Local Avulsion Success - New path downstream
Info : Iteration 589 : Overbank Flow
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Info : Iteration 626 : Overbank Flow
Info : Iteration 725 : Regional Avulsion
Info : Regional Avulsion Success
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Info : Local Avulsion Success - Chute cutoff (no splay)
Info : Local Avulsion Success - New path downstream
Info : Iteration 1056 : Overbank Flow
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Info : Iteration 1110 : Regional Avulsion
Info : Regional Avulsion Success
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Info : Regional Avulsion Success
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Info : Local Avulsion Success - Chute cutoff (no splay)
Info : Local Avulsion Success - New path downstream
Info : Iteration 2473 : Regional Avulsion
Info : Regional Avulsion Success
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Info : Local Avulsion Success - Chute cutoff (no splay)
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Info : Regional Avulsion Success
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Info : Local Avulsion Success - Chute cutoff (no splay)
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Info : Upper limit has been reached
In [4]:
# Display the age of the simulation, the mean topography reached and the total number of meander cutoffs
print("Final age:",flsim.getAge(), "yr")
print("Mean topography:",round(flsim.getDomain().getMeanTopo(),2), "m")
print("Number of cutoffs:",flsim.getNbCutoff())
# Retrieve the simulated block informed with facies, grain size and age (in three numpy arrays)
fac,grain,age = flsim.getBlock(dz, zb=0 ,nz=nz)
print("type(fac):", type(fac))
print("fac.shape:", fac.shape)
# Display facies proportions
props = getFaciesProps(fac)
print("Facies proportions (%):", props)
# Sand proportion (PB) corresponds more or less to the required Net-to-Gross
# Display grain size class proportions
props = getGrainProps(fac)
print("Grain size class proportions (%):", props)
Final age: 11056 yr
Mean topography: 13.77 m
Number of cutoffs: 61
type(fac): <class 'numpy.ndarray'>
fac.shape: (250, 200, 90)
Facies proportions (%): {'CL': 2.08, 'PB': 35.74, 'SP': 0.77, 'CSI': 0.0, 'CCh': 0.02, 'CSII': 0.0, 'LV': 16.14, 'OB': 39.05, 'MP': 6.19}
Grain size class proportions (%): {' 9 - Fine Sand (2)': 6.19, ' 8 - Very Fine Sand (3)': 39.05, ' 7 - Silt (4)': 16.14, ' 6 - Silt (5)': 0.0, ' 5 - Silt (6)': 0.02, ' 4 - Silt (7)': 0.0, ' 3 - Clay (8)': 0.77, ' 2 - Clay (9-10)': 35.74, ' 1 - Clay (11-14)': 2.08}
In [5]:
# Display Facies cross-flow section
showSection(fac = fac[50,:,:], size = 8, legend = 1)
# Display Grain Size along-flow section
showSection(grain = grain[:,20,:], size = 8, legend = 1)
# Display Age horizontal slice section
showSection(age = age[:,:,2], size = 8, legend = 1, title = "Age horizontal slice")
In [6]:
# Display Vertical Proportion Curve of the facies
showVPC(flsim, dz, 0, 6)
# Display Vertical Proportion Curve of the grain size classes
showVPC(flsim, dz, 0, 6, color=1)
In [7]:
from dash import Dash, dcc, html, Input, Output, callback
app = Dash()
app.layout = html.Div([
dcc.Graph(id='graph-court'),
dcc.Slider(0, 89, 1,
value=5, marks=None,
id='iz-slider'
),
])
@callback(
Output('graph-court', 'figure'),
Input('iz-slider', 'value'))
def update_output(value):
# Display three slices for grain size for the following grid indices
data = [sliceFromGrid(grain,0,50),
sliceFromGrid(grain,1,20),
sliceFromGrid(grain,2,value)
]
fig1 = go.Figure(data=data)
fig1.layout.title = f"Grain Size Z-Slice at {value}m"
return fig1
app.run()