import jinja2
from imod.wq.pkgbase import Package
[docs]
class TimeDiscretization(Package):
"""
Time discretisation package class.
Parameters
----------
timestep_duration: float
is the length of the current stress period (PERLEN). If the flow
solution is transient, timestep_duration specified here must be equal to
that specified for the flow model. If the flow solution is steady-state,
timestep_duration can be set to any desired length.
n_timesteps: int, optional
is the number of time steps for the transient flow solution in the
current stress period (NSTP). If the flow solution is steady-state,
n_timestep=1. Default value is 1.
transient: bool, optional
Flag indicating wether the flow simulation is transient (True) or False
(Steady State).
Default is True.
timestep_multiplier: float, optional
is the multiplier for the length of successive time steps used in the
transient flow solution (TSMULT); it is used only if n_timesteps>1.
timestep_multiplier>0, the length of each flow time step within the
current stress period is calculated using the geometric progression as
in MODFLOW. Note that both n_timesteps and timestep_multiplier specified
here must be identical to those specified in the flow model if the flow
model is transient.
timestep_multiplier ≤ 0, the length of each flow time step within the
current stress period is read from the record TSLNGH. This option is
needed in case the length of time steps for the flow solution is not
based on a geometric progression in a flow model, unlike MODFLOW.
Default is 1.0.
max_n_transport_timestep: int, optional
is the maximum number of transport steps allowed within one time step of
the flow solution (mxstrn). If the number of transport steps within a
flow time step exceeds max_n_transport_timestep, the simulation is
terminated.
Default is 50_000.
transport_timestep_multiplier: float or {"None"}, optional
is the multiplier for successive transport steps within a flow time step
(TTSMULT).
If the Generalized Conjugate Gradient (GCG) solver is used and the
solution option for the advection term is the standard finite difference
method. A value between 1.0 and 2.0 is generally adequate. If the GCG
package is not used, the transport solution is solved explicitly as in
the original MT3D code, and transport_timestep_multiplier is always set
to 1.0 regardless of the user-specified input. Note that for the
particle tracking based solution options and the 3rd-order TVD scheme,
transport_timestep_multiplier does not apply.
Default is {"None"}.
transport_initial_timestep: int, optional
is the user-specified transport stepsize within each time step of the
flow solution (DT0).
transport_initial_timestep is interpreted differently depending on
whether the solution option chosen is explicit or implicit: For explicit
solutions (i.e., the GCG solver is not used), the program will always
calculate a maximum transport stepsize which meets the various stability
criteria. Setting transport_initial_timestep to zero causes the model
calculated transport stepsize to be used in the simulation. However, the
model-calculated transport_initial_timestep may not always be optimal.
In this situation, transport_initial_timestep should be adjusted to find
a value that leads to the best results. If transport_initial_timestep is
given a value greater than the model-calculated stepsize, the
model-calculated stepsize, instead of the user-specified value, will be
used in the simulation.
For implicit solutions (i.e., the GCG solver is used),
transport_initial_timestep is the initial transport stepsize. If it is
specified as zero, the model-calculated value of
transport_initial_timestep, based on the user-specified Courant number
in the Advection Package, will be used. The subsequent transport
stepsize may increase or remain constant depending on the userspecified
transport stepsize multiplier transport_timestep_multiplier and the
solution scheme for the advection term.
Default is 0.
"""
_pkg_id = "dis"
[docs]
def __init__(
self,
timestep_duration,
n_timesteps=1,
transient=True,
timestep_multiplier=1.0,
max_n_transport_timestep=50_000,
transport_timestep_multiplier=None,
transport_initial_timestep=0.0,
):
super().__init__()
self["timestep_duration"] = timestep_duration
self["n_timesteps"] = n_timesteps
self["transient"] = transient
self["timestep_multiplier"] = timestep_multiplier
self["max_n_transport_timestep"] = max_n_transport_timestep
if transport_timestep_multiplier is not None:
self["transport_timestep_multiplier"] = transport_timestep_multiplier
self["transport_initial_timestep"] = transport_initial_timestep
def _render(self, globaltimes):
d = {}
dicts = {}
_dis_mapping = (
("perlen", "timestep_duration"),
("nstp", "n_timesteps"),
("sstr", "transient"),
("tsmult", "timestep_multiplier"),
)
d["mapping"] = _dis_mapping
datavars = [t[1] for t in _dis_mapping]
for varname in datavars:
dicts[varname] = self._compose_values_time(varname, globaltimes)
if varname == "transient":
for k, v in dicts[varname].items():
if v == 1:
dicts[varname][k] = "tr"
else:
dicts[varname][k] = "ss"
d["dicts"] = dicts
d["n_periods"] = len(globaltimes)
_dis_template = jinja2.Template(
"\n"
" nper = {{n_periods}}\n"
" {%- for name, dictname in mapping -%}"
" {%- for time, value in dicts[dictname].items() %}\n"
" {{name}}_p{{time}} = {{value}}"
" {%- endfor -%}"
" {%- endfor -%}"
)
return _dis_template.render(d)
def _render_btn(self, globaltimes):
d = {}
dicts = {}
# TODO: check what's necessary
_btn_mapping = (
# ("perlen", "duration"), # should not be necessary
# ("nstp", "n_timesteps"), # should not be necessary
("tsmult", "timestep_multiplier"),
# ("tslngh", "timestep_length"),
("dt0", "transport_initial_timestep"),
("ttsmult", "transport_timestep_multiplier"),
("mxstrn", "max_n_transport_timestep"),
)
_btn_template = jinja2.Template(
" {%- for name, dictname in mapping -%}"
" {%- for time, value in dicts[dictname].items() %}\n"
" {{name}}_p{{time}} = {{value}}"
" {%- endfor -%}"
" {%- endfor -%}"
)
mapping = tuple(
[(k, v) for k, v in _btn_mapping if v in self.dataset.data_vars]
)
d["mapping"] = mapping
datavars = [t[1] for t in mapping]
for varname in datavars:
dicts[varname] = self._compose_values_time(varname, globaltimes)
d["dicts"] = dicts
return _btn_template.render(d)
def _pkgcheck(self, ibound=None):
to_check = [
"timestep_duration",
"n_timesteps",
"transient",
"timestep_multiplier",
"max_n_transport_timestep",
"transport_initial_timestep",
]
if "transport_timestep_multiplier" in self.dataset.data_vars:
to_check.append("transport_timestep_multiplier")
self._check_positive(to_check)
