Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Organic nitrogen concentration in lateral flow
Organic phosphorus concentration in lateral flow
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Average slope length
The average slope length describes the distance that sheet flow is the dominant surface runoff flow process. It should be measured to the point where flow begins to concentrate. It is easily observable after a heavy rain on a fallow field when the rills are well developed. In this situation, the slope length is the distance from the micro-watershed divide to the origin of the rill. The average slope length can also be determined from topographic maps.
The average slope length is used to compute soil erosion using the MUSLE.
There are four files containing the basic topographical and hydrological properties of HRUs:
topography.hyd defines the topographic characteristics of the HRUs and routing units,
hydrology.hyd defines the hydrological characteristics of the HRUs,
field.fld specifies the properties of representative fields,
snow.sno controls the simulation of snowfall and snowmelt processes.
Name of the topography record
The name of the topography record is a primary key referenced by topo in hru-data.hru and topo in rout_unit.rtu.
Average slope length for lateral subsurface flow
The average slope length for lateral flow is typically longer than the surface slope length.
Lateral flow travel time
Setting lat_time = 0.0 will allow the model to calculate the travel time based on soil hydraulic properties. This variable should be set to a specific value only by hydrologists familiar with the base flow characteristics of the watershed.
This file defines the hydrological characteristics of the HRUs
Name of the hydrology record
string
n/a
n/a
n/a
Lateral flow travel time
real
days
0
0-180
Sediment concentration in lateral and groundwater flow
real
mg/L
0
0-5000
Maximum canopy storage
real
mm
1
0-100
Soil evaporation compensation factor
real
none
0.5
0.01-1
Plant uptake compensation factor
real
none
0
0.01-1
Organic nitrogen enrichment ratio for loading with sediment
real
none
0
0-1
Phosphorus enrichment ratio for loading with sediment
real
none
0
0-1
Soil water adjustment factor for CN3
real
none
0-1
Biological mixing efficiency
real
0.2
Percolation coefficient
real
none
0-1
Organic nitrogen concentration in lateral flow
real
mg/L
0-200
Organic phosphorus concentration in lateral flow
real
mg/L
0-200
Linear adjustment factor for PET equations
real
none
1
0.8-1.2
Lateral flow coefficient
real
none
0-1
Name of the hydrology record
The name of the hydrology record is a primary key referenced by hydro in hru-data.hru.
Sediment concentration in lateral and groundwater flow
Sediment concentration in lateral and groundwater flow is usually very low and does not contribute significantly to total sediment yields unless return flow is very high.
Maximum canopy storage
The maximum amount of water that can be trapped in the canopy when the canopy is fully developed.
The plant canopy can significantly affect infiltration, surface runoff and evapotranspiration. As rain falls, canopy interception reduces the erosive energy of droplets and traps a portion of the rainfall within the canopy. The influence the canopy exerts on these processes is a function of the density of plant cover and the morphology of the plant species.
When calculating surface runoff, the SCS curve number method lumps canopy interception in the term for initial abstractions. This variable also includes surface storage and infiltration prior to runoff and is estimated as 20% of the retention parameter value for a given day. When the Green & Ampt infiltration equation is used to calculate infiltration, the interception of rainfall by the canopy must be calculated separately.
SWAT+ allows the maximum amount of water that can be held in canopy storage to vary from day to day as a function of the leaf area index.
Soil evaporation compensation factor
This coefficient has been incorporated to allow the user to modify the depth distribution used to meet the soil evaporative demand to account for the effect of capillary action, crusting and cracks.
As the value for esco is increased, the model is able to extract more of the evaporative demand from lower levels.
Plant uptake compensation factor
The amount of water uptake that occurs on a given day is a function of the amount of water required by the plant for transpiration and the amount of water available in the soil. If upper layers in the soil profile do not contain enough water to meet the potential water uptake, users may allow lower layers to compensate.
As epco approaches 1.0, the model allows more of the water uptake demand to be met by lower layers in the soil. As epco approaches 0.0, the model allows less variation from the original depth distribution to take place.
Average slope steepness
The average slope steepness of the HRUs is calculated based on the DEM.
Biological mixing efficiency
Biological mixing is the redistribution of soil constituents as a result of the activity of biota in the soil (e.g. earthworms, etc.). Studies have shown that biological mixing can be significant in systems where the soil is only infrequently disturbed. In general, as a management system shifts from conventional tillage to conservation tillage to no-till there will be an increase in biological mixing.
SWAT+ allows biological mixing to occur to a depth of 300 mm (or the bottom of the soil profile if it is shallower than 300 mm). The efficiency of biological mixing is defined by the user and is conceptually the same as the mixing efficiency of a tillage implement. The redistribution of nutrients by biological mixing is calculated using the same methodology as that used for a tillage operation. Biological mixing is performed at the end of every calendar year.
Organic nitrogen enrichment ratio for loading with sediment
The organic nitrogen enrichment ratio is defined as the ratio of the concentration of organic nitrogen transported with the sediment to the concentration in the soil surface layer.
As surface runoff flows over the soil surface, part of the water’s energy is used to pick up and transport soil particles. The smaller particles weigh less and are more easily transported than coarser particles. Therefore, the sediment load transported to the main channel has a greater proportion of clay sized particles than the soil surface layer. In other words, the sediment load is enriched in clay particles. Organic nitrogen in the soil is attached primarily to colloidal (clay) particles, so the sediment load will also contain a greater proportion or concentration of organic nitrogen than that found in the soil surface layer.
SWAT+ will calculate an enrichment ratio for each storm event or allow the user to define an enrichment ratio for organic nitrogen that is used for all storms during the simulation. To calculate the enrichment ratio, the value for orgn_enrich is set to 0. This is the default option.
Soil water adjustment factor for CN3
This parameter gives the user control over the level of saturation of the soil that has to be reached before the model switches from using the Curve Number for moisture condition II to moisture condition III. Thus, it can be used to delay the onset of surface runoff after dry periods.
Percolation coefficient
The percolation coefficient is input to limit percolation from the bottom soil layer due to an impermeable layer or high water table. Since percolation can be a slow process, that can occur over days or weeks, the percolation coefficient is non-linear and difficult to parameterize and calibrate.
A perco value of 0.0 does not allow any percolation from the soil and a value of 1.0 does not restrict percolation from the bottom soil layer.
Linear adjustment factor for PET equations
This parameter can be used to decrease or increase PET calculated using any of the three PET equations implemented in SWAT+.
Phosphorus enrichment ratio for loading with sediment
The phosphorus enrichment ratio is defined as the ratio of the concentration of phosphorus transported with the sediment to the concentration in the soil surface layer.
As surface runoff flows over the soil surface, part of the water’s energy is used to pick up and transport soil particles. The smaller particles weigh less and are more easily transported than coarser particles. Therefore, the sediment load transported to the main channel has a greater proportion of clay sized particles than the soil surface layer. In other words, the sediment load is enriched in clay particles. Phosphorus in the soil is attached primarily to colloidal (clay) particles, so the sediment load will also contain a greater proportion or concentration of phosphorus than that found in the soil surface layer.
SWAT+ will calculate an enrichment ratio for each storm event or allow the user to define an enrichment ratio for phosphorus that is used for all storms during the simulation. To calculate the enrichment ratio, the value for orgp_enrich is set to 0. This is the default option.
Deposition coefficient
This parameter is used to compute the sediment transport capacity of surface runoff across an HRU. A large coefficient will result in a high transport capacity and thus a larger amount of sediment leaving the HRU.
Snow melt base temperature
The snow pack will not melt until the snow pack temperature exceeds melt_tmp.
Snowfall temperature
Mean air temperature at which precipitation is equally likely to be rain as snow/freezing rain.
Name of the snow record
The name of the snow record is a primary key referenced by snow in hru-data.hru.
Melt factor for snow on June 21
The variables melt_max and melt_min allow the rate of snow melt to vary through the year and account for the impact of snowpack density on snow melt.
If the watershed is in the Northern Hemisphere, melt_max will be the maximum melt factor. If the watershed is in the Southern Hemisphere, melt_max will be the minimum melt factor.
In rural areas, the melt factor will vary from 1.4 to 6.9 mm H2O/day-°C (Huber and Dickinson, 1988). In urban areas, values will fall in the higher end of the range due to compression of the snowpack by vehicles, pedestrians, etc. Urban snow melt studies in Sweden (Bengston, 1981; Westerstrom, 1981) reported melt factors ranging from 3.0 to 8.0 mm H2O/day-°C. Studies of snow melt on asphalt (Westerstrom, 1984) gave melt factors of 1.7 to 6.5 mm H2O/day-°C.
Lateral flow coefficient
Soil lateral flow is computed for each soil layer using a hillslope storage method. The equation is a function of excess water above field capacity, total soil water capacity, hydraulic conductivity, slope, and flow length. The lateral flow coefficient is a direct linear coefficient applied to the hillslope storage equation.
Fraction of snow volume corresponding to 50% snow cover
SWAT+ assumes a non-linear relationship between snow water and snow cover. This parameter defines the fraction of the snow volume represented by snow_h2o that corresponds to 50% snow cover.
Initial snow water content at start of simulation
Melt factor for snow on December 21
The variables melt_max and melt_min allow the rate of snow melt to vary through the year and account for the impact of snowpack density on snow melt.
If the watershed is in the Northern Hemisphere, melt_min will be the maximum melt factor. If the watershed is in the Southern Hemisphere, melt_min will be the minimum melt factor.
In rural areas, the melt factor will vary from 1.4 to 6.9 mm H2O/day-°C (Huber and Dickinson, 1988). In urban areas, values will fall in the higher end of the range due to compression of the snowpack by vehicles, pedestrians, etc. Urban snow melt studies in Sweden (Bengston, 1981; Westerstrom, 1981) reported melt factors ranging from 3.0 to 8.0 mm H2O/day-°C. Studies of snow melt on asphalt (Westerstrom, 1984) gave melt factors of 1.7 to 6.5 mm H2O/day-°C.
This file defines the topographic characteristics of the HRUs and Routing Units.
Name of the topography record
string
n/a
n/a
n/a
Average slope steepness
real
m/m
0.02
Average slope length
real
m
50.0
Average slope length for lateral subsurface flow
real
m
50.0
dist_cha
Currently not used
real
Deposition coefficient
integer
1
Minimum snow water content that corresponds to 100% snow cover
Due to factors such as drifting, shading, and topography, the snow pack in a HRU will rarely be uniformly distributed over the total area. A fraction of the HRU area will be bare of snow. This fraction must be quantified to accurately compute snow melt in the HRU.
The factors that contribute to variable snow coverage are usually similar from year to year, making it possible to correlate the areal coverage of snow with the amount of snow present in the HRU at a given time. This correlation is expressed as an areal depletion curve, which is used to describe the seasonal growth and recession of the snow pack as a function of the amount of snow present in the HRU.
The areal depletion curve requires a threshold depth of snow to be defined, above which there will always be 100% cover. The threshold depth will depend on factors such as vegetation distribution, wind loading of snow, wind scouring of snow, interception, and aspect and will be unique to the watershed of interest.
If the snow water content is less than snow_h2o, a certain percentage of ground cover will be bare. It is important to remember that once the volume of water held in the snow pack exceeds snow_h2o, the depth of snow over the HRU is assumed to be uniform. The areal depletion curve affects snow melt only when the snow pack water content is between 0 and snow_h2o. Consequently, if snow_h2o is set to a very small value, the impact of the areal depletion curve on snow melt will be minimal. As the value for sno_h2o increases, the influence of the areal depletion curve will assume more importance in snow melt processes.
Width of the field
The width of the field is used to compute the sediment transport capacity of surface runoff across an HRU.
Name of the field
The name of the field is a primary key referenced by field in hru-data.hru and field in rout_unit.rtu.
Snowpack temperature lag factor
The influence of the previous day’s snowpack temperature on the current day’s snow pack temperature is controlled by a lagging factor, which inherently accounts for snow pack density, snowpack depth, exposure and other factors affecting snowpack temperature.
As tmp_lag approaches 1.0, the mean air temperature on the current day exerts an increasingly greater influence on the snow pack temperature and the snow pack temperature from the previous day exerts less and less influence. As it approaches zero, the snowpack temperature will be less influenced by the current day's air temperature.
This file controls the simulation of snowfall and snowmelt processes.
Name of the snow record
string
n/a
n/a
n/a
Snowfall temperature
real
ºC
1
-5 - 5
Snow melt base temperature
real
ºC
0.5
-5 - 5
Melt factor for snow on June 21
real
mm H2O/day-ºC
0.0
0.0-10.0
Melt factor for snow on December 21
real
mm H2O/day-ºC
0.0
0.0-10.0
Snowpack temperature lag factor
real
none
1
0.01-1
Minimum snow water content
real
mm
0.0
0.0-500.0
Fraction of snow
real
fraction
0.50
0.0-1.0
Initial snow water content at start of simulation
real
mm
0.0
0.0-0.50
This file specifies the properties of representative fields.
Name of the field
string
n/a
n/a
n/a
Length of the field
real
m
500.0
Width of the field
real
m
100.0
ang
Currently not used
real
Length of the field
The length of the field is used to compute time of concentration.