SWAT - soil.layer.water¶

mef_agri.models.soil.layer.water.model_swat.py

class mef_agri.models.soil.layer.water.model_swat.Water_V2009(**kwargs)¶

amount()¶

MQ - Random Output

\(s_{\textrm{W-a},i,k}\ [mm]\)

Returns:: water amount
Return type:: numpy.ndarray

evaporation()¶

MQ - Random Output

\(s_{\textrm{W-evp},i,k}\ [\frac{mm}{day}]\)

Returns:: water that evaporated at current day
Return type:: numpy.ndarray

evp_pot()¶

RQ - from model with id 'zone.soil.surface.evapotranspiration'

\(s_{\textrm{W-ep},s,k}\ [\frac{mm}{day}]\)

Returns:: potential soil evaporation
Return type:: Requirement

fc()¶

RQ - from model with id 'zone.soil'

\(s_{\textrm{W-fc},0}\ [\ ]\)

Returns:: soil moisture at field capacity
Return type:: Requirement

hc()¶

RQ - from model with id 'zone.soil'

\(s_{\textrm{W-hcs},0}\ [\frac{mm}{day}]\)

Returns:: hydraulic conductivity of saturated soil
Return type:: Requirement

infiltrated()¶

MQ - Random Output

\(s_{\textrm{W-inf},i,k}\ [\frac{mm}{day}]\)

Returns:: water that infiltrated into the layer at current day
Return type:: numpy.ndarray

initialize(epoch)¶

Intialization of the water amount (derived from a priori moisture and layer thickness) and other random outputs (zero arrays).

Parameters:: epoch (datetime.date) – intialization epoch

ld()¶

RQ - from model with id '.__parent__' (parent layer)

\(s_{\textrm{ld},i,0}\ [m]\)

Returns:: depth of bottom layer border
Return type:: Requirement

lt()¶

RQ - from model with id '.__parent__' (parent layer)

\(s_{\textrm{lt},i,0}\ [m]\)

Returns:: layer thickness
Return type:: Requirement

moisture()¶

MQ - State

\(s_{\textrm{W-m},i,k}\ [\ ]\)

Returns:: soil moisture content
Return type:: numpy.ndarray

percolation()¶

MQ - Random Output

\(s_{\textrm{W-per},i,k}\ [\frac{mm}{day}]\)

Returns:: water that percolated into deeper layer at current day
Return type:: numpy.ndarray

por()¶

RQ - from model with id 'zone.soil'

\(s_{\textrm{por},0}\ [\ ]\)

Returns:: soil porosity (saturated water content)
Return type:: Requirement

update(epoch)¶

The following computations are performed

travel time of percolating water ttp - [R1] (equ. 2:3.2.4)
percolation perc = exc * (1. - np.exp(-1. / ttp)) (exc being the amount of water exceeding the field capacity)
in the case that the remaining water amount exceeds soil porosity, the corresponding excess is added to percolation
update of water amount and moisture
evaporative demand at soil layer upper and bottom boundary - [R1] (equ. 2:2.3.16a)
evaporative demand in the layer - [R1] (equ. 2:2.3.16b)
first correction term - [R1] (equ. 2:2.3.18, 2:2.3.19)
second correction term - [R1] (equ. 2:2.3.20)
update water amount and moisture

NOTE: the tuning variable esco from [R1] (equ. 2:2.3.17) is omitted

Parameters:: epoch (datetime.date) – current evaluation epoch

uptake()¶

MQ - Random Output

\(c_{\textrm{W-upt},i,k}\ [\frac{mm}{day}]\)

Returns:: crop water uptake at current day
Return type:: numpy.ndarray

wp()¶

RQ - from model with id 'zone.soil'

\(s_{\textrm{W-wp},0}\ [\ ]\)

Returns:: soil moisture at wilting point
Return type:: Requirement