anaflow.flow.ext_grf_model¶
Anaflow subpackage providing the extended GRF Model.
The following functions are provided
ext_grf (time, rad, S_part, K_part, R_part[, …]) 
The extended “General radial flow” model for transient flow. 
ext_grf_steady (rad, r_ref, conductivity[, …]) 
The extended “General radial flow” model for steady flow. 

ext_grf
(time, rad, S_part, K_part, R_part, dim=2, lat_ext=1.0, rate=0.0001, h_bound=0.0, K_well=None, struc_grid=True, lap_kwargs=None)[source]¶ The extended “General radial flow” model for transient flow.
The general radial flow (GRF) model by Barker introduces an arbitrary dimension for radial groundwater flow. We introduced the possibility to define radial dependet conductivity and storage values.
This solution is based on the grf model presented in [Barker88].
Parameters:  time (
numpy.ndarray
) – Array with all timepoints where the function should be evaluated  rad (
numpy.ndarray
) – Array with all radii where the function should be evaluated  S_part (
numpy.ndarray
) – Given storativity values for each disk  K_part (
numpy.ndarray
) – Given conductivity values for each disk  R_part (
numpy.ndarray
) – Given radii separating the disks (including r_well and r_bound).  dim (
float
, optional) – Fractional dimension of the aquifer. Default:2.0
 lat_ext (
float
, optional) – Lateral extend of the aquifer. Default:1.0
 rate (
float
, optional) – Pumpingrate at the well. Default: 1e4  h_bound (
float
, optional) – Reference head at the outer boundary R_part[1]. Default:0.0
 K_well (
float
, optional) – Conductivity at the well. Default:K_part[0]
 struc_grid (
bool
, optional) – If this is set toFalse
, the rad and time array will be merged and interpreted as single, rt points. In this case they need to have the same shapes. Otherwise a structured rt grid is created. Default:True
 lap_kwargs (
dict
orNone
optional) – Dictionary forget_lap_inv
containing method and method_dict. The default is equivalent tolap_kwargs = {"method": "stehfest", "method_dict": None}
. Default:None
Returns: Array with all heads at the given radii and timepoints.
Return type: References
[Barker88] Barker, J. ‘’A generalized radial flow model for hydraulic tests in fractured rock.’‘, Water Resources Research 24.10, 17961804, 1988  time (

ext_grf_steady
(rad, r_ref, conductivity, dim=2, lat_ext=1.0, rate=0.0001, h_ref=0.0, arg_dict=None, **kwargs)[source]¶ The extended “General radial flow” model for steady flow.
The general radial flow (GRF) model by Barker introduces an arbitrary dimension for radial groundwater flow. We introduced the possibility to define radial dependet conductivity.
This solution is based on the grf model presented in [Barker88].
Parameters:  rad (
numpy.ndarray
) – Array with all radii where the function should be evaluated  r_ref (
float
) – Radius of the reference head.  conductivity (
float
orcallable
) – Conductivity. Either callable function taking kwargs or float.  dim (
float
, optional) – Fractional dimension of the aquifer. Default:2.0
 lat_ext (
float
, optional) – Lateral extend of the aquifer. Default:1.0
 rate (
float
, optional) – Pumpingrate at the well. Default: 1e4  h_ref (
float
, optional) – Reference head at the referenceradius r_ref. Default:0.0
 arg_dict (
dict
orNone
, optional) – Keywordarguments given as a dictionary that are forwarded to the conductivity function. Will be merged with**kwargs
. This is designed for overlapping keywords ingrf_steady
andconductivity
. Default:None
 **kwargs – Keywordarguments that are forwarded to the conductivity function.
Will be merged with
arg_dict
Returns: Array with all heads at the given radii and timepoints.
Return type: References
[Barker88] Barker, J. ‘’A generalized radial flow model for hydraulic tests in fractured rock.’‘, Water Resources Research 24.10, 17961804, 1988  rad (