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Over the past 20 years, the Soil and Water Assessment Tool (SWAT) has become widely used across the globe. The large numbers of applications across the globe have also revealed limitations and identified model development needs. Numerous additions and modifications of the model and its individual components have made the code increasingly difficult to manage and maintain. In order to face present and future challenges in water resources modeling SWAT code has undergone major modifications over the past few years, resulting in SWAT+, a completely revised version of the model.
Even though the basic algorithms used to calculate the processes in the model have not changed, the structure and organization of both the code (object based) and the input files (relational based) have undergone considerable modification. This is expected to facilitate model maintenance, future code modifications, and foster collaboration with other researchers to integrate new science into SWAT modules. SWAT+ provides a more flexible spatial representation of interactions and processes within a watershed.
The Soil and Water Assessment Tool Plus (SWAT+) is a public domain model jointly developed by the USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT+ is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds.
Documentation is available in the next section of this website, however please make use of our user groups if you get stuck or run into an issue.
Because there are 3 distinct pieces to SWAT+, we have created user groups for each. Please identify which area you are having difficulty with and choose the appropriate group:
QSWAT+ user group For issues defining your watershed in QGIS and using the QSWAT+ plugin.
SWAT+ Editor user group For issues related to the editor interface.
SWAT+ model user group For questions and discussion related to the model itself, not the editor or GIS interfaces.
For SWAT+ Editor bugs or issues, report to the user groups or the Bitbucket issue tracker.
Download a sample project and watch the guide video to get started with QSWAT+ and SWAT+ Editor
Make sure you have downloaded and installed QSWAT+, SWAT+ wgn and soils databases, and SWAT+ Editor as described in the installation section linked below.
The following guide will show you how to get started with SWAT+ Editor. This guide does not cover how to set up your watershed in QSWAT+. Please refer to the QSWAT+ manual for this step.
Please use the following Robit demo project, which has already been set up in QSWAT+. Alternatively, you may use the Robit project you set up on your own after following the steps in the QSWAT+ manual.
Please watch the guide video before launching SWAT+ Editor. This video will quickly walk you through the steps needed to bring your QSWAT+ project into the editor, as well as show you how to catch and report errors. If you prefer a written guide instead of or in addition to the video, a walk through is shown below.
If you do not want to watch a video, follow the steps below. This guide shows the basic steps you need to take to set up your model, but does not cover all input parameters available through the editor. Please refer to the SWAT+ Editor documentation section for help editing specific input parameters.
Follow the QSWAT+ manual to set up your watershed. To open SWAT+ Editor from within QSWAT+, click the button for Step 3: Edit Inputs and Run SWAT.
The first time your open your QSWAT+ project in SWAT+ Editor, your data must be imported from the GIS tables into SWAT+ database format. This may take a few seconds to several minutes depending on the size of your watershed.
When your GIS data is done loading, your project will be displayed in the light blue box in the top center of the editor. Click the start editing SWAT+ inputs button to begin.
The first step you should take is to add weather generator (WGN) data. It may be imported from the distributed WGN database in the SWAT+ Tools installer, or from CSV files. Go to the weather generator section and click the import data button as shown in the screenshot below.
The database import option is selected by default, with the global CSFR weather generator table chosen. Click in the box to see other table options. wgn_us
is weather generator data for the United States. wgn
is an empty table you may populate with your own data if desired.
Alternatively, select CSV files from the top pull-down menu. In the Robit demo dataset, we have provided CSV files to use for weather generators, located in the Wgn folder of the sample project linked at the top of this page. Select these files in the editor as shown in the screenshot below, then click the start import button.
You should now see one weather generator station added. Next, we need to add observed weather data. From the left menu in the editor, click the Weather Stations link.
Click the import data button to import your files. In the Robit demo dataset, we have provided weather data in SWAT2012 format in the Weather directory. Select this folder as the SWAT2012 weather files directory in the editor's import form. You may also choose where to save the files when they are converted to SWAT+ format. By default, your TxtInOut folder is selected. Click the start import button to continue.
Once your data has been converted to SWAT+ format and imported to your project, we've also automatically adjusted your simulation dates. From the left menu in the editor, under the Simulation heading, click on Time. You may alter your simulation starting and ending times, however make sure they fall within the range of your observed weather data. If you have made any changes, click the save changes button.
Next, select what data you want to print from your simulation. We advise not printing all daily output files as the file size can be very large and take a long time to import to the database for visualization. For the Robit demo, please change the number of skip years to 3, then check the boxes to print all monthly and annual output. Click the save changes button when done.
This concludes the last required section for editing SWAT+ inputs before writing files and running the model. The remaining sections are not covered in this walk-through, however you can look through the SWAT+ Editor Documentation section for more information.
In this demo, we'll go ahead and proceed to the next step: writing SWAT+ input files. From the navy ribbon on the left side of the editor, click on the pencil icon. Choose your location to write the files, then click the save and write files button.
When done, from the navy ribbon on the left side of the editor click the next step with the triangle/play icon to run the model. By default, the release version of the model is run. If you encounter an error, you can come back and check the box to run in debug mode to get a detailed error message from the model.
After the model run has finished successfully, from the navy ribbon on the left side of the editor, click the graph icon. From here you can import your model output text files into a SQLite database for use with the QSWAT+ visualization tool. Output may take a long time to import depending on the length of your simulation, the output files selected from the Simulation->Print section, and the size of your watershed.
When the editor finishes importing your output, you may close the editor by clicking the X in the top right of the editor window, or by going to File->Exit from the editor's menu.
You may now proceed to QSWAT+ step 4: visualization. Please refer to the QSWAT+ manual for more information about this process.
Before contacting support, please ensure you have the newest version of the tools installed. Check the common situations below, and if your error is not covered, consult the appropriate user group.
Make sure you have installed the most recent version of QSWAT+ and followed the manual's installation instructions closely.
If you received an error during steps 1, 2, or 4 of the QSWAT+ interface, please consult the QSWAT+ user group. Check existing questions to see if anyone else had the same problem. If not, please post your error and be as descriptive as possible about what you were doing when you received the error message.
SWAT+ Editor is most often accessed during step 3 of the QSWAT+ plugin. It may also be launched on its own. Make sure you have installed the most recent version of SWAT+ Editor.
If your error is not covered by the solutions below, please consult the SWAT+ Editor user group.
If you receive this message when you first launch your project in the editor, it is a sign the editor did not load its services correctly. While SWAT+ Editor is running, please right-click your Windows taskbar and select Task Manager. Expand the arrow next to SWATPlusEditor and ensure you have swatplus_rest_api.exe running as shown in the screenshot below.
If you do not see it running, please open a command prompt window. Make sure you are in the C drive, or the drive where you installed SWAT+. Browse to the location below, then run the swatplus_rest_api.exe file.
If it is working properly, you should receive something similar to the following:
If this is what you received, please simply close SWAT+ Editor and try launching it again.
If you get no message on the screen at all, it might be a permission or error related to your computer settings. Try installing to another location on your machine, such as another hard drive, or even install to a flash drive. If this still does not work, try another machine.
If you receive an error message, please copy it and report to the Bitbucket issue tracker.
Please post the error message to the SWAT+ Editor user group AND include your project files. This error is likely project specific and we cannot help you without seeing your project files.
If you receive any other error messages from SWAT+ Editor, from its menu go to View -> Toggle Developer Tools. In the windows that pops open, toggle the Console tab and take a screenshot or copy an errors received and post to the SWAT+ Editor user group.
If you received an error running the model, first make sure you have run it in debug mode and checked the detailed error received. If you are not able to make sense of the source of the model error, please post to the SWAT+ model user group AND include your project files. This error is likely project specific and we cannot help you without seeing your project files.
Click the paper icon in the leftmost blue toolbar to enter the editing section. Most editors in this section are a literal representation of the SWAT+ input files. The collapsible dark-gray headings on the left correspond to the section lines in the master watershed file (file.cio).
When you click on an editor section from the left menu, you'll find the default SWAT+ file name with which the section corresponds. This enables you to quickly look up further information in the SWAT+ input/output documentation.
Most data is presented in a tabular format. When you click a row, you're presented with a form where you can make changes and save. The following features are common across many editor sections.
At the top of most tables, you'll see the following action bar. Not all sections will have each option available.
Click create new record to add an item to the table. Edit multiple records allows you to set a single value for one or more fields across all or selected rows in your table.
In the search box, start typing the name of the object you want to view. Matching options will appear below the text box. Click the one you want, then click the search icon button to the right.
The import/export data button allows you to quickly access your data in CSV (comma-separated values spreadsheet) format, in most cases. We recommend exporting your data (or empty table is okay) first to get a template with the column names. You may then modify the file and import it back into the editor.
Sort by a column in the table by clicking on the heading name. It will toggle ascending or descending direction as indicated by the arrows next to the name.
Tables with many records can be scrolled and then paged by clicking the page number or arrow links at the bottom of the table.
Each row may contain an edit/view icon on the far left to access the data in the row, and a delete icon on the far right (may need to scroll to access the far right of the table). We do not recommend deleting rows unless you are absolutely sure they are not used elsewhere in your model. Due to the relationships of data in SWAT+, deleting records could have unintended effects and break your model. Deleting cannot be undone; if in doubt, make a backup of your project SQLite database first.
Most objects in SWAT+ have a name field and are identified using this name. Names should be unique and not contain spaces (spaces will be automatically converted to underscores).
Each form will have a save changes button toward the bottom. Be sure to click this button after making any changes and before leaving the form.
There are a lot of relationships between objects in SWAT+. For example, all fields in your channel properties table link to rows in other tables. In SWAT+ Editor forms, you can easily select these related rows by starting to type an object's name and select it as it pops up. If you accidentally enter an incorrect name, the editor will return an error stating the record does not exist in your database.
Tip: due to all of these relationships, it may be necessary to add data in a seemingly backwards manner. For example, you will need to add channel hydrology data before adding a row in channel properties, and channel properties will need to be added before a channel connection object. In most cases, these connection objects are imported from GIS so it is not an issue, but it is good to be aware.
We recommend starting in the climate section, and importing your weather generators and observed weather data. If you're coming from GIS, when you import weather generators or observed data, it will create weather stations and match them to your spatial objects automatically.
SWAT+ Editor 1.2.3 with QSWAT+ 1.2.2 and SWAT+ revision 59.3
Download the revision notes for the model below.
Environmental flows have been added.
Revised treatment of ponds and reservoirs.
Fixed bug in reading output file headers
Fixed bug that allowed user to run model without adding weather generator data
Added rotation year to management operation schedule
Updated SWAT+ rev. 59.3 to fix bug where it wasn't printing all IDs in lsunit output files
Fixed bug in writing aqu_catunit.ele where basin fraction would be 0 for small areas
Fixed various bugs while importing GIS data
Updated model rev. 59.3 with various bug fixes
Improved weather and wgn importing speed when matching to connect objects
Limit map view in connect pages to avoid display locking in large projects
When writing inputs, changed bsn_frac column to exponential format for better precision
Small fix for projects using barren land use.
Fixed bug when receiving an error trying to edit a row in landuse management.
Compatible with SWAT+ rev. 59.3
Fixes default routing in rout_unit_con for upland to floodplain surface runoff. Use fraction of area of upland routing unit surface runoff goes to channel/reservoir, the remaining goes to floodplain (see Bieger et al. JAWRA 2019). New projects only, existing projects should try re-import from GIS option.
Change aquifer creation. Previously created one aquifer per channel. Changed to two per subbasin (upland/floodplain), and add a deep aquifer for each outlet.
Fixes default principal/emergency area and volume of reservoirs. Note: new projects / re-import GIS data only. Existing projects should update values manually as needed. New defaults are described below:
Principal spillway area (area_ps
) is set from GIS data
Emergency spillway area is set to area_ps * 1.15
Principal spillway volume is set to area_ps * 10
Emergency spillway volume is set to area_es * 10
Un-managed ponds are now retained as HRUs in QSWAT+. Imported to the editor as HRUs with wetlands inputs (wetlands_wet and hydrology_wet).
Update output database tables to include revisions from model rev. 59.3: channel and channel morph, reservoir, and wetlands columns.
Project update function available for the following data changes related to model rev. 59.1-3:
Update cal_parm_cal abs_max=10 and units=m for flo_min and revap_min. Add dep_bot.
Update aquifer_aqu default values for gw_flo=0.05, dep_wt=10, flo_min=5, revap_min=3.
In plant_ini_item, yrs_init changed to fraction (change values to 1 where previously 15), and biomass increased for some plants. Lc_status changed to yes for past and barr plants.
Update codes_bsn default values for pet=1, rtu_wq=1, wq_cha=1
User interface improvements:
Add csv import for weather generator data.
All related table search boxes return all possible results underneath matches to typed text.
Add automatic database rollback when user gets an error importing GIS or updating project.
Bug fixes:
Fixed bug when updating project from 1.0.0, a variable was not declared.
Fixed bug where weather stations were created but not always assigned weather data file if one exists.
Fixed bug when trying to import weather data located on another hard drive.
Fixed bug where swatplus_rest_api.exe wasn't terminating correctly when exiting the editor.
Fixes bug when importing GIS data into plant communities not in the datasets database
Print section usability update
Update automatic project database backups so multiple failed import/upgrade attempts don't overwrite the original
The remainder of this page outlines what changed from the initial release of the editor in fall 2018 to version 1.1.0 released in spring 2019. If you never used version 1.0.0, you can skip the remainder of this page.
Upgrade function available for projects made with version 1.0.0.
Compatible with SWAT+ rev. 59.
Re-designed project setup page. If importing GIS, allow SWAT+ lte option for projects without point source or reservoir data.
Channels now default to using the channel-lte structure (as per SWAT+ rev. 58). Please note that this means your channel input files are different (chandeg.con) and the channel output will be in channel_sd tables.
New editor sections for: basin parameters, connections--export coefficients, recall, delivery ratio, landscape unit regions, land use management, calibration, initialization data, soils, databases, and structural.
Added export/import to and from CSV files for most sections.
Other miscellaneous usability improvements.
Automatic updating for more rapid bug fixes and releases.
Constituents (pesticides, pathogens, heavy metals, salts) are not fully available through the editor yet.
d_table_dtl - add column file_name, repopulate table based on 4 new decision table files: lum.dtl, res_rel.dtl, scen_lu.dtl, flo_con.dtl
d_table_dtl_act - add column const2
d_table_dtl_act - rename columns application->fp and type->option
recall_dat - drop columns sol_pest, srb_pest, p_bact, lp_bact, metl1, metl2, metl3
exco_om_exc - drop columns sol_pest, srb_pest, p_bact, lp_bact, metl1, metl2, metl3
exco_om_exc - rename columns ptl_n->orgn, ptl_p->sedp, no3_n->no3, sol_p->solp, nh3_n->nh3, no2_n->no2, bod->cbod, oxy->dox, sm_agg->sag, lg_agg->lg_agg
aquifer_aqu - drop columns gw_dp, gw_ht, delay
aquifer_aqu - add columns dep_bot (default value 10), dep_wt (default value 5), bf_max (default 1)
aquifer_aqu - change spec_yld value from 0 to 0.05
aquifer_aqu - add column init_id referencing initial_aqu
fertilizer_frt - drop columns p_bact, lp_bact, sol_bact
fertilizer_frt - add column pathogens
hydrology_hyd - drop column dp_imp
pesticide_cha - rename column sed_conc->pst_solub
channel_lte_cha - rename table to hyd_sed_lte_cha
hru_data_hru - drop column soil_nut_id
hru_data_hru - add column soil_plant_init_id
cal_parms_cal - change column type of units from number to text
initial_cha - drop existing columns, add new columns: org_min_id, pest_id, path_id, hmet_id, salt_id (foreign keys to new tables in init)
initial_res - drop existing columns, add new columns: org_min_id, pest_id, path_id, hmet_id, salt_id (foreign keys to new tables in init)
reservoir_res - drop column pest_id
wetland_wet - drop column pest_id
sediment_res - add columns carbon and bd
plants_plt - drop column plnt_hu and add column days_mat
plant_ini - add column rot_yr_ini
codes_bsn - change column type of atmo_dep from number to text
rout_unit_ele - drop column hyd_typ, change foreign key of rtu_id from rout_unit_rtu to rout_unit_con
constituents_cs - drop and re-create table
dr_om_del, dr_pest_del, dr_path_del, dr_hmet_del, dr_salt_del, delratio_del - drop and re-create tables
calibration_cal - drop and re-create table
pesticide_pst - drop and re-create table
codes_cal - rename table codes_sft, replace columns landscape and hyd with hyd_hru and hyd_hrulte
ls_parms_cal - rename table wb_parms_sft
ch_parms_cal - rename table ch_sed_parms_sft
pl_parms_cal - rename table plant_parms_sft
pest_soil_ini
pest_soil_ini_item
path_soil_ini
hmet_soil_ini
salt_soil_ini
soil_plant_ini
om_water_ini
pest_hru_ini
pest_hru_ini_item
pest_water_ini
path_hru_ini
path_water_ini
hmet_hru_ini
hmet_water_ini
salt_hru_ini
salt_water_ini
channel_lte_cha (new structure; not the same as old table renamed to hyd_sed_lte_cha)
initial_aqu (same structure as initial_cha)
calibration_cal_cond
calibration_cal_elem
water_balance_sft and water_balance_sft_item (replace ls_regions_cal)
ch_sed_budget_sft and ch_sed_budget_sft_item (replace ch_orders_cal)
plant_gro_sft and plant_gro_sft_item (replace pl_regions_cal)
d_table_dtl - add column file_name, repopulate table based on 4 new decision table files: lum.dtl, res_rel.dtl, scen_lu.dtl, flo_con.dtl
d_table_dtl_act - add column const2
d_table_dtl_act - rename columns application->fp and type->option
plants_plt - drop column plnt_hu and add column days_mat
Replace all decision table data
Replace all plants_plt data
Replace all fertilizer_frt data
Replace all pesticide_pst data (also new table structure)
Replace all var_range data
Add new tables: version, tropical_bounds
New naming structure based on SWAT+ rev. 56
New management schedule and decision table defaults determined by your HRU's plant type in plants.plt. It will use an automatic schedule based on corn (warm) or wheat (cold) plants. See the for more information.
General watershed attributes are defined in the basin input files: codes and parameters. These attributes control a diversity of physical processes at the watershed level. The interfaces will automatically set these parameters to the default or recommended values listed in the variable documentation. Users can use the default values or change them to better reflect what is happening in a given watershed. Variables governing bacteria or pesticide transport need to be initialized only if these processes are being modeled in the watershed. Even if nutrients are not being studied in a watershed, some attention must be paid to these variables because nutrient cycling impacts plant growth which in turn affects the hydrologic cycle.
SWAT+ Input File
Database Table
codes.bsn
codes_bsn
Field
Type
Description
pet_file
text
Potential ET filename
wq_file
text
Watershed stream water quality filename
pet
int
Potential ET method code
event
int
Event code
crack
int
Crack flow code
rtu_wq
int
Subbasin water quality code
sed_det
int
Max half-hour rainfall frac calc
rte_cha
int
Water routing method
deg_cha
int
Channel degradation code
wq_cha
int
Stream water quality code
rte_pest
int
Redefined to the sequence number of pest in NPNO(:) to be routed through the watershed
cn
int
CN method flag
c_fact
int
C-factor
carbon
int
Carbon code
baseflo
int
Baseflow distribution factor during the day for subdaily runs
uhyd
int
Unit hydrograph method
sed_cha
int
Instream sediment model
tiledrain
int
Tile drainage EQ code
wtable
int
Water table depth algorithms code
soil_p
int
Soil phosphorus model
abstr_init
int
Initial abstraction on impervious cover
atmo_dep
text
Atmospheric deposition code
stor_max
int
Max depressional storage selection code
headwater
int
Headwater code
SWAT+ Input File
Database Table
parameters.bsn
parameters_bsn
Field
Type
Description
Units
Default
Range
lai_noevap
real
Leaf area index at which no evaporation occurs from water surface
3
0-10
sw_init
real
Initial soil water storage expressed as a fraction of field capacity water content
0
0-1
surq_lag
real
Surface runoff lag coefficient
4
1-24
adj_pkrt
real
Peak rate adjustment factor for sediment routing in the subbasin (tributary channels)
1
0.5-2
adj_pkrt_sed
real
Peak rate adjustment factor for sediment routing in the main channel
1
0-2
lin_sed
real
Linear parameter for calculating the maximum amount of sediment that can be reentrained during channel sediment routing
0.0001
0.0001-0.01
exp_sed
real
Exponent parameter for calculating sediment reentrained in channel sediment routing
1
1-1.5
orgn_min
real
Rate factor for humus mineralization of active organic nutrients (N and P)
0.0003
0.001-0.003
n_uptake
real
Nitrogen uptake distribution parameter
20
0-100
p_uptake
real
Phosphorus uptake distribution parameter
20
0-100
n_perc
real
Nitrate percolation coefficient
0.2
0-1
p_perc
real
Phosphorus percolation coefficient
10 m^3/M
10
10-17.5
p_soil
real
Phosphorus soil partitioning coefficient
m^3/Mg
175
100-200
p_avail
real
Phosphorus availability index
0.4
0.01-0.7
rsd_decomp
real
Residue decomposition coefficient
0.05
0.02-0.1
pest_perc
real
Pesticide percolation coefficient
0.5
0-1
msk_co1
real
Calibration coefficient to control impact of the storage time constant for the reach at bankfull depth
0.75
0-10
msk_co2
real
Calibration coefficient used to control impact of the storage time constant for low flow (where low flow is when river is at 0.1 bankfull depth) upon the km value calculated for the reach
0.25
0-10
msk_x
real
Weighting factor control relative importance of inflow rate and outflow rate in determining storage on reach
0.2
0-0.3
trans_loss
real
Fraction of transmission losses from main channel that enter deep aquifer
0
0-1
evap_adj
real
Reach evaporation adjustment factor
0.6
0.5-1
cn_co
real
Currently not being used
denit_exp
real
Denitrification exponential rate coefficient
1.4
0-3
denit_frac
real
Denitrification threshold water content
1.3
0-1
man_bact
real
Fraction of manure applied to land areas that has active colony forming units
0.15
0-1
adj_uhyd
real
Adjustment factor for subdaily unit hydrograph basetime
0
0-1
cn_froz
real
Parameter for frozen soil adjustment on infiltration/runoff
0.000862
0-0
dorm_hr
real
Time threshold used to define dormancy
hrs
0
0-24
s_max
real
Currently not being used
n_fix
real
Nitrogen fixation coefficient
0.5
0-1
n_fix_max
real
Maximum daily-n fixation
kg/ha
20
1-20
rsd_decay
real
Minimum daily residue decay
0.01
0-0.05
rsd_cover
real
Residue cover factor for computing fraction of cover
0.3
0.1-0.5
vel_crit
real
Critical velocity
5
0-10
res_sed
real
Reservoir sediment settling coefficient
0.184
0.09-0.27
uhyd_alpha
real
Alpha coefficient for gamma function unit hydrograph
5
0.5-10
splash
real
Splash erosion coefficient
1
0.9-3.1
rill
real
Rill erosion coefficient
0.7
0.5-2
surq_exp
real
Exponential coefficient for overland flow
1.2
1-3
cov_mgt
real
Scaling parameter for cover and management factor for overland flow erosion
0.03
0.001-0.45
cha_d50
real
Median particle diameter of main channel
mm
50
10-100
cha_part_sd
real
Geometric standard deviation of particle size
1.57
1-5
adj_cn
real
Currently not being used
igen
int
Random generator code 0 = use default number; 1 = generate new numbers in every simulation
0
0-1
Configure the number or years to run the simulation and time step. If you have observed weather data, make sure your simulation time falls within these dates.
SWAT+ Input File
Database Table
time.sim
time_sim
Field
Type
Description
id
int
Auto-assigned identifier
day_start
int
Beginning Julian day of simulation
If zero, the model starts the simulation on January 1
day_end
int
Ending Julian day of simulation
If zero, the model ends the simulation on December 31
step
int
Time steps in a day for rainfall, runoff and routing
Configure the output files to print.
SWAT+ Input File
Database Tables
print.prt
print_prt
print_prt_object
Field
Type
Description
id
int
Auto-assigned identifier
nyskip
int
Number of years to not print output
day_start
int
Beginning Julian day of simulation to start printing output files for daily printing only
yrc_start
int
Beginning year of simulation to start printing output files
day_end
int
Ending Julian day of simulation to stop printing output files for daily printing only
yrc_end
int
Ending year of simulation to stop printing output files
interval
int
Daily print within the period (e.g., interval=2 will print every other day)
csvout
bool
Print .csv files in addition to text files
dbout
bool
Print database (not currently active)
cdfout
bool
Print netcdf (not currently active)
soilout
bool
Print soil nutrients carbon output file
mgtout
bool
Print management output file
hydcon
bool
Print hydrograph connect output file
fdcout
bool
Print flow duration curve output file
Each row in print_prt_object represents an output file that can be print daily, monthly, yearly, and average annual output for each.
Field
Type
Description
id
int
Auto-assigned identifier
print_prt_id
int
ID of print_prt row
name
text
Name of print object
daily
bool
Print daily output
monthly
bool
Print monthly output
yearly
bool
Print yearly output
avann
bool
Print average annual output
Daily printing of all files could cause very large output (exceeding hard drive space)
Object Name
Description
basin_wb
Water balance basin output variables
basin_nb
Nutrient balance basin output variables
basin_ls
Losses basin output variables
basin_pw
Plant weather basin output variables
basin_aqu
Aquifer basin output variables
basin_res
Reservoir basin output file variables
basin_cha
Channel basin output file variables
basin_sd_cha
CHAN DEG basin output file variables
basin_psc
Point source basin output file variables
region_wb
Water balance region output variables
region_nb
Nutrient balance region output variables
region_ls
Losses region output variables
region_pw
Plant weather region output variables
region_aqu
Aquifer region output variables
region_res
Reservoir region output variables
region_cha
Channel region output variables
region_sd_cha
SWAT DEG Channel region output variables
region_psc
Point source region output variables
lsunit_wb
Water balance routing unit output variables
lsunit_nb
Nutrient balance routing unit output variables
lsunit_ls
Losses routing unit output variables
lsunit_pw
Plant weather routing unit output variables
hru_wb
Water balance hru output variables
hru_nb
Nutrient balance hru output variables
hru_ls
Losses hru output variables
hru_pw
Plant weather hru output variables
hru-lte_wb
Water balance HRU-LTE output variables
hru-lte_nb
Nutrient balance HRU-LTE output variables
hru-lte_ls
Losses HRU-LTE output variables
hru-lte_pw
Plant weather HRU-LTE output variables
channel
Channel output variables
channel_sd
SWAT DEG (lte) channel output variables
aquifer
Aquifer output variables
reservoir
Reservoir output variables
recall
Recall output variables
hyd
Hydin output and hydout_output variables
ru
Routing unit output variables
pest
Pesticide constituents outputs
You may use any IDE of your choice, however Visual Studio Code is used by the developer.
Install Python 3.7
Install required Python packages. From command prompt, go to source code /api directory and run:
Install Node.js
Install required Node.js packages. From command prompt, go to the root directory of the source code and run:
From a command prompt in the root directory (terminal inside Visual Studio Code)
Open a second command prompt and run
First, use PyInstaller (included in the Python packages during install) to freeze the Python into executable files. This should be done from the /api directory in the source code. In Windows, run the supplied .bat file from a command prompt:
Note: PyInstaller will create 32 or 64-bit executables depending on the version of Python you have installed.
Next, build the Vue.js code. Open a command prompt and run:
Finally, package the code for distribution using Electron Builder. Configuration is set in the package.json file. Results of the build will be placed in the /release/dist directory.
Create an installer:
Or, build a portable executable:
Or, pack the files into a directory:
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
In SWAT+, constant values for point sources and inlets are stored in the export coefficients properties file, exco.exc, while time series data are stored entirely in the recall section.
However, in the editor, we keep both constant and time series point sources and inlets in the recall section. When you write input files, the editor will write to the exco.exc and exco_om.exc files appropriately.
When you are done editing your input data, click the pencil icon in the leftmost blue toolbar to go to the write input files section. Select the directory to save your files (if coming from GIS, your default scenario TxtInOut directory is chosen by default), and click the save and write files button.
A progress bar will pop up showing the files being written. When complete, you can proceed to the next step: running the model. Click the arrow button in the leftmost blue toolbar.
You must have weather stations before being allowed to write input files.
If you need to make additional changes to your SWAT+ input data, be sure to come back to this step and re-write your files before running the model again.
Weather generator data and weather stations are required for SWAT+ to run.
Weather stations are linked from all of your connection objects (channels, HRUs, etc.) in SWAT+. If you are coming from QSWAT+, it is much better to import stations either from the weather generator section, or the observed weather file importer than it is to create them manually.
By importing through one of the methods described below, your new stations will be automatically matched your spatial connection objects.
Click the import data button to import weather generator (wgn) data for your project. If you installed the SWAT+ databases, this file will be selected by default along with the CFSR world table. USA wgn data is also available from this database; type wgn_us to use this table.
You may also add your own data to this database using the wgn and corresponding wgn_mon tables.
Below the table name field is a check box asking if you are using observed weather data. By default (unchecked), when you click start import, weather stations will be created based on your wgn locations. If you are using observed weather data and prefer to have weather stations created based on this data, check this box--stations will not be created when you start import, and instead they will be created for you when you import your observed weather data files.
If you are not using observed weather data, it is important to leave the box unchecked so that weather stations are created for you.
If you do not want to use the SQLite database, you may import CSV files of your weather generator data. Two CSV files are required.
Stations CSV file:
Columns id, name, lat, lon, elev, rain_yrs
id
should be uniquely numbered
Monthly values CSV file:
Columns id, wgn_id, month, tmp_max_ave, tmp_min_ave, tmp_max_sd, tmp_min_sd, pcp_ave, pcp_sd, pcp_skew, wet_dry, wet_wet, pcp_days, pcp_hhr, slr_ave, dew_ave, wnd_ave
id
should be uniquely numbered
wgn_id
corresponds to the id
column from the stations file
Import observed weather data from the top of the weather stations section. The data files may be in one of two formats: SWAT2012/Global Weather Data CFSR website format, or SWAT+.
After importing observed weather data, be sure to modify your simulation run time to match your weather dates.
Each measurement included in your data must have the following entry file names:
Measurement
Entry File
Precipitation
pcp.txt
Temperature
tmp.txt
Solar radiation
solar.txt
Relative humidity
rh.txt
Wind speed
wind.txt
Each entry file is a comma-separated list of stations. Each station name should have a corresponding .txt file (e.g., name p326-963 should have a p326-963.txt file).
ID
Name
Latitude
Longitude
Elevation
1
p326-963
32.628
-96.250
142.0
Each station file should have the first line as the starting day as YYYYMMDD (e.g., 19790101). The following lines are the measurement for each day, one line per day. For temperature, each line will be max,min (e.g., 10.138,-2.662).
Weather data may be downloaded from the Global Weather CFSR website.
Each measurement included in your data must have the following entry file names:
Measurement
Entry File
Precipitation
pcp.cli
Temperature
tmp.cli
Solar radiation
slr.cli
Relative humidity
hmd.cli
Wind speed
wnd.cli
Each entry file has a title line (any text allowed), followed by a heading line, followed by a list of filenames for each station. Filenames should be listed alphabetically.
pcp.cli: precipitation file names
filename
p326953.pcp
p326956.pcp
Each station file has a title line, followed by a heading line and data line for time and location. Measurements for each timestep are in the lines to follow. For temperature, the measurements will be listed as max then min.
SWAT+ Input File
Database Tables
weather-wgn.cli
weather_wgn_cli
weather_wgn_cli_mon
Field
Type
Description
Units
Range
id
int
Auto-assigned identifier
name
text
Name of weather generator
lat
real
Latitude of weather station
deg.
+/-90
lon
real
Longitude of weather station
deg.
+/-180
elev
real
Elevation of weather station
m
0-5000
rain_yrs
int
Number of years of recorded maximum monthly 0.5h rainfall data
5-100
Each entry in weather_wgn_cli will have 12 rows in weather_wgn_cli_mon.
Field
Type
Description
Units
Range
id
int
Auto-assigned identifier
wgn_id
int
ID of row in weather_wgn_cli
month
int
Month
tmp_max_ave
real
Average or mean daily maximum air temperature for month
°C
-30-50
tmp_min_ave
real
Average or mean daily minimum air temperature for month
°C
-40-40
tmp_max_sd
real
Standard deviation for daily maximum air temperature in month
°C
0.1-100
tmp_min_sd
real
Standard deviation for daily minimum air temperature in month
°C
0.1-30
pcp_ave
real
Average or mean total monthly precipitation
mm
0-600
pcp_sd
real
Standard deviation for the average daily precipitation
mm/day
0.1-50
pcp_skew
real
Skew coefficient for the average daily precipitation
mm
-50-20
wet_dry
real
Probability of a wet day after a dry day
0-0.95
wet_wet
real
Probability of a wet day after a wet day
0-0.95
pcp_days
real
Average number of days of precipitation in a month
0-31
pcp_hhr
real
Maximum 0.5 hour rainfall in entire period of record for month
mm
0-125
slr_ave
real
Average daily solar radiation for the month
MJ/m^2/day
0-750
dew_ave
real
Average daily dew point temperature for each month
°C
-50-25
wnd_ave
real
Average wind speed for the month
m/s
0-100
SWAT+ Input File
Database Tables
weather-sta.cli
weather_sta_cli
weather_file
When entering an observed weather file name in the station editor, you may start typing to search for existing weather files adding during the import step. If adding observed files manually, just type the name of the file (e.g., p326953.pcp), and put that file in the directory you plan to write input files (e.g., your TxtInOut). Files must be in SWAT+ format. If your weather data is in SWAT2012 format or from the Global Weather CFSR website, please use the import step to convert them to SWAT+.
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of the weather station
wgn_id
int
ID of row in weather_wgn_cli
pcp
text
Precipitation gage filename or "sim" if simulated
tmp
text
Temperature gage filename or "sim" if simulated
slr
text
Solar radiation gage filename or "sim" if simulated
hmd
text
Relative humidity gage filename or "sim" if simulated
wnd
text
Wind speed gage filename or "sim" if simulated
wnd_dir
text
Wind direction gage filename
atmo_dep
text
Atmospheric deposition data file name
lat
real
Latitude of weather station
lon
real
Longitude of weather station
This table is only used if you import observed weather data files. If entering stations manually, this table will not be populated.
Field
Type
Description
id
int
Auto-assigned identifier
filename
text
Name of the weather data file
type
text
Type of weather data: pcp, tmp, slr, hmd, wnd
lat
real
Latitude of weather station in file
lon
real
Longitude of weather station in file
Need to access this documentation offline? Please download a PDF export of this documentation website linked below. We recommend you also make sure you have downloaded a copy of the QSWAT+ manual and SWAT+ input docs.
The connections section contains all spatial object connectivity for the simulation run. In SWAT+ Editor, all connection object properties can be set through this section. For example, when you click on channels, you will see additional menu links appear for: properties, initialization, hydrology and sediment, and nutrients.
All connection objects have a similar format as seen in the above figure. The tabular view is shown by default. Click the map view tab to see a map with markers for the center coordinates of each object. Click an object marker in the map view, or edit icon on the left side of a row in the table to view or edit the object.
Each connection object will have a main properties object associated with it as well as a weather station. Click on these names in the table, or from the edit view page, click the button next to their names to view information about the properties object or weather station.
Each connection object may have outflow. This can be viewed in the table by clicking the eye icon in the rightmost column, or view from the edit page.
If you imported your project from GIS, your connection objects are populated automatically during project setup.
The subbasin is defined by the DEM in the GIS interface as it always has been. All flow within the subbasin drains to the subbasin outlet.
A landscape unit (LSU) is defined as a collection of HRUs and can be defined as a subbasin, or it could be a flood plain or upland unit, or it could be a grid cell with multiple HRUs. The landscape unit is not routed, it only used for output. The landscape unit output files (waterbal, nutbal, losses, and plant weather) are output for HRUs, landscape units, and for the basin. Two input files are required: 1) landscape elements and, 2) landscape define. The elements file includes HRUs and their corresponding LSU fraction and basin fractions. The define file specifies which HRUs are contained in each LSU.
A routing unit is a collection of hydrographs that can be routed to any spatial object. The routing unit can be configured as a subbasin, then total flow (surface, lateral and tile flow) from the routing unit can be sent to a channel and all recharge from the routing unit sent to an aquifer. This is analogous to the current approach in SWAT. However, SWAT+ gives us much more flexibility in configuring a routing unit. For example, in CEAP, we are routing each HRU (field) through a small channel (gully or grass waterway) before it reaches the main channel. In this case, the routing unit is a collection of flow from the small channels. We also envision simulating multiple representative hillslopes to define a routing unit. Also, we are setting up scenarios that define a routing unit using tile flow from multiple fields and sending that flow to a wetland.
The routing unit is the spatial unit SWAT+ that allows us to lump outputs and route the outputs to any other spatial object. It gives us considerably more flexibility than the old subbasin lumping approach in SWAT, and will continue to be a convenient way of spatial lumping until we can simulate individual fields or cells in each basin.
When you open SWAT+ Editor, you are taken to the project setup screen. If you are coming from QSWAT+, an overlay will appear with the paths to your project databases. You may edit these as needed, and click the start import button.
When your project is done importing from GIS, it will be selected as your current project and displayed in the recent projects sidebar on the left as well as in the center screen.
From here you can start editing your SWAT+ inputs by clicking the button in the middle, or by clicking the paper icon in the far left blue-colored menu.
SWAT+ lte is a version of the SWAT+ model that greatly simplifies hydrology and plant growth and does not simulate nutrients, concentrating on gully formation and stream degradation. It only uses channel and HRU objects, so this option is not available if you have point source or reservoirs.
If your project in QSWAT+ does not have point source or reservoirs, you will have an option to set up your project for SWAT+ lte by checking the box. Otherwise, this option is hidden.
If you are not coming from QSWAT+, you may open the editor and choose from one of three options:
Open project allows you to select an existing SWAT+ Editor project settings file and load it into the editor. Please note that this is an existing editor project, not any SWAT+ project. You must have an existing .json file for this option to work.
Click QSWAT+ project to select your QSWAT+ project database file. From here the steps are the same as described above when coming directly from QSWAT+.
Click new empty project to start a SWAT+ project from scratch, or if you have an existing SWAT+ project database but no settings file. If creating from scratch, leave the project database field blank and it will be created for you.
Recall objects are used for connecting point source or inlet data to your watershed. If you added point source in QSWAT+, when you import your project into SWAT+ Editor it will be connected via the recall section.
By default, constant data with all zero values during the default simulation period is added. To add your own recall data, click the recall item in the edit menu under connections. Click the item name under the rec column in the connection object table, or click the data item under recall in the edit menu on the left.
By default, your recall data is imported as constant. To insert your values, you can edit each item individually by clicking the edit button and manually entering each value. Alternatively, you may upload a CSV of your data.
From the recall data section, click the import/export button in the top right corner.
Export is selected by default. Choose a file name, and click the export CSV file button to get a template for your data.
Edit the CSV as needed, save, and then go back to the editor and click the import/output button again. This time toggle the import button. Choose your modified CSV file and click the import CSV data button. Your updated values will appear in the table.
By default recall data is imported as constant, however this can be changed by clicking the edit button next to a row in the recall data table. Select the new time step for your data: daily, monthly, or yearly. Click the save changes button. Next, click the import/export button that appears on the form.
Export is selected by default. Choose a file name, and click the export CSV file button.
To import your data, click the import/export data button again and this time click to toggle import. Choose your file and click import CSV file. Your new data will appear in the table.
Each record in recall_rec will have a data file named {name}.rec. All of this data is stored in a single recall_dat table in the database.
A primary goal of environmental modeling is to assess the impact of human activities on a given system. Central to this assessment is the itemization of the land and water management practices taking place within the system. This section contains input data for planting, harvest, irrigation applications, nutrient applications, pesticide applications, and tillage operations. Information regarding tile drains and urban areas is also stored in this file.
In addition to the above, SWAT+ Editor groups the operations databases in this section of the editor. However, within the SWAT+ master watershed file (file.cio), these are listed under the ops section.
This section is the entry point for management data in SWAT+. It comprises cross-walks to several other sections of data.
This data is accessed from the HRU properties section (hru-data.hru).
Management schedules comprise auto-schedules (decision tables) and/or operations schedules.
When you import your project from GIS, SWAT+ assigns auto-schedules for management based on your crop land use.
For example, oats is a cold annual crop. If this crop is in your HRUs, a decision table named pl_hv_oats will be created based on the template of pl_hv_wwht when you import your data from GIS.
From the management schedules section, click create a new record or click edit on a row in the table. Give your schedule a unique name.
To add an automatic schedule, start typing a decision table name in the box provided. Click the desired result from the list of matches that pops up, and click the add button. If you enter more than one schedule, you can drag and drop to sort.
To add an operation, click the add operation button. Select your operation type from the form that pops up and complete the remaining fields. Click save when done to add the operation to your table.
When you're done adding automatic schedules and operations, click the save changes button to save your management schedule.
Values in the operations tables are provided in the SWAT+ datasets database and copied to your project database during project setup. You may modify them or add new rows as needed in the editor.
Values in this table are provided in the SWAT+ datasets database and copied to your project database during project setup. You may modify them or add new rows as needed in the editor.
Values in this table are provided in the SWAT+ datasets database and copied to your project database during project setup. You may modify them or add new rows as needed in the editor.
Values in this table are provided in the SWAT+ datasets database and copied to your project database during project setup. You may modify them or add new rows as needed in the editor.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Decision tables are a precise yet compact way to model complex rule sets and their corresponding actions. Decision tables, like flowcharts and if-then-else and switch-case statements, associate conditions with actions to perform, but in many cases do so in a more elegant way (see on decision tables).
Structure of decision tables:
Conditions
Condition alternatives
Actions
Action entries
Each decision corresponds to a variable, relation or predicate whose possible values are listed among the condition alternatives. Each action is a procedure or operation to perform, and the entries specify whether (or in what order) the action is to be performed for the set of condition alternatives the entry corresponds to. Many decision tables include in their condition alternatives the "don’t care" symbol, a hyphen. Using "don’t cares" can simplify decision tables, especially when a given condition has little influence on the actions to be performed. In some cases, entire conditions thought to be important initially are found to be irrelevant when none of the conditions influence which actions are performed.
There are four decision table sections in SWAT+: land use management, reservoir release, scenario land use, and flow conditions.
See the land use management documentation, under management schedules for how to choose a decision table for your HRUs.
Reservoir release decision tables are assigned from the reservoir properties section under connections in SWAT+ Editor.
In the current version of SWAT+ editor, we do not have a GUI available for editing decision tables, however we have provided the ability to export the decision table file. You may then make changes to it in a text editor, and upload back into SWAT+ Editor.
The following is an example of a decision table in the lum.dtl input file. It is a table for warm season annual crops, using continuous corn.
In the above table, there are 6 conditions, 4 alternatives and 3 actions.
soil_water – if soil water is too high (> 1.50*field capacity), it will be too wet to operate machinery
plant_gro – (“n”) Planting allowed if plant is not growing.
phu_base0 – (0.15) when the sum base zero heat units for the year (starting Jan 1) exceeds 0.15, indicating it’s warm enough to plant
phu_plant – (1.15) harvest is scheduled when the sum of the heat units for the crop exceed 1.15 (if the heat units to maturity for the crop = 1500, then harvest would be scheduled at 1.15 * 1500 = 1725).
year_rot – needed to identify the current year of rotation. In this example, corn is grown in year 1.
days_plant – days since last plant (200) to ensure harvest occurs before next crop is planted.
If all of the conditions for each alternative are met, outcomes are checked for ‘y’ to take action. Alternatives with dash (‘-‘) are not checked.
plant corn based on heat units: if soil water < 1.50*fc and if phubase0 > 0.15*phu_mat and if year_rot = 1 then check outcomes for ‘y’ and if ‘y’, take that action (plant)
Harvest corn based on crop accumulated heat units: if soil_water < 1.50*fc and if phu_plant > 1.15*phu_mat and if year_rot = 1 and then check outcomes for ‘y’ and if ‘y’, take that action (plant)
Harvest corn based on days since planting: if year_rot = 1 and if days_plant =200 then check outcomes for ‘y’ and if ‘y’, take that action (harvest)
Reset rotation year: if year_rot > 1 then check outcomes for ‘y’ and if ‘y’, take that action (rot_reset)
plant: corn – cross walked to plant name in plants.plt file
harvest_kill: corn – cross walked to plant name in plants.plt file grain – relates to harvest type in harv.ops file
rot_reset: rotation reset – for continuous corn (1 year rotation). The rotation year is reset to 1 at the end of every year.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Open the file after it is exported to see the template for your data. Modify your data as needed matching the time step you selected previously. Be sure the years match your . In a yearly time step, t_step equals 1 through number of years. For monthly data, t_step equals the number of the month, and for daily it is the number of the day of the year.
SWAT+ Input File
Database Table
recall.rec
recall_rec
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of recall object
rec_typ
int
Time step for recall object (1-daily, 2-monthly, 3-yearly)
SWAT+ Input File
Database Table
{name}.rec
recall_dat
Field
Type
Description
Units
yr
int
Year
t_step
int
Timestep
flo
real
Volume of water
m^3
sed
real
Sediment
metric ton
ptl_n
real
Organic nitrogen
kg N
ptl_p
real
Organic phosphorus
kg P
no3_n
real
Nitrate
kg N
sol_p
real
Mineral (soluble P)
kg P
chla
real
Chlorophyll-a
kg
nh3_n
real
Ammonia
kg N
no2_n
real
Nitrogen dioxide
kg N
cbn_bod
real
Carbonaceous biological oxygen demand
kg
oxy
real
Dissolved oxygen
kg
sand
real
Detached sand
silt
real
Detached silt
clay
real
Detached clay
sm_agg
real
Detached small ag
lg_agg
real
Detached large ag
gravel
real
Gravel
tmp
real
Temperature
deg c
SWAT+ Input File
Database Table
landuse.lum
landuse_lum
management.sch
management_sch
management_sch_auto
management_sch_op
cntable.lum
cntable_lum
ovn_table.lum
ovn_table_lum
cons_practice.lum
cons_practice_lum
SWAT+ Input File
Database Table
graze.ops
graze_ops
harv.ops
harv_ops
irr.ops
irr_ops
sweep.ops
sweep_ops
fire.ops
fire_ops
chem_app.ops
chem_app_ops
Field
Type
Description
Related Table
id
int
Auto-assigned identifier
name
text
Name of the land use properties
cal_group
text
Calibration group
plnt_com_id
int
Plant community
plant_ini
mgt_id
int
Management schedule
management_sch
cn2_id
int
Curve number
cntable_lum
cons_prac_id
int
Conservation practices
cons_prac_lum
urban_id
int
Urban land use
urban_urb
urb_ro
text
Urban runoff
ov_mann_id
int
Overland flow Manning's n
ovn_table_lum
tile_id
int
Tile drain
tiledrain_str
sep_id
int
Septic tank
septic_str
vfs_id
int
Filter strip
filterstrip_str
grww_id
int
Grassed waterway
grassedww_str
bmp_id
int
Best management practices
bmpuser_str
description
text
Optional description of the row
Plant Type (in plants_plt)
Decision Table Template
warm_annual
pl_hv_corn
cold_annual
pl_hv_wwht
perennial
no management schedule
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of the schedule
Field
Type
Description
id
int
Auto-assigned identifier
management_sch_id
int
ID of management schedule
d_table_id
int
ID of decision table
Field
Type
Description
id
int
Auto-assigned identifier
management_sch_id
int
ID of management schedule
op_typ
text
Type of operation (see options below)
mon
int
Month operation takes place
day
int
Day operation takes place
op_data1
text
Dependent on op_typ (see options below)
op_data2
text
op_data3
real
Override value
Code
Description
plnt
plant
harv
harvest only
kill
kill
hvkl
harvest and kill
till
tillage
irrm
irrigation
fert
fertilizer
pest
pesticide application
graz
grazing
burn
burn
swep
street sweep
prtp
print plant vars
skip
skip to end of the year
Code
Value
Look-up Table
plnt
plant name
plants_plt
harv
plant name
plants_plt
kill
plant name
plants_plt
hvkl
plant name
plants_plt
till
tillage name
tillage_til
irrm
irrigation operation name
irr_ops
fert
fertilizer name
fertilizer_frt
pest
pesticide name
pesticide_pst
graz
graze operation name
graze_ops
burn
fire operation name
fire_ops
swep
street sweep operation name
sweep_ops
prtp
none
skip
none
Code
Value
Look-up Table
plnt
none
harv
harvest operation name
harv_ops
kill
none
hvkl
harvest operation name
harv_ops
till
none
irrm
none
fert
chemical application operation name
chem_app_ops
pest
chemical application operation name
chem_app_ops
graz
none
burn
none
swep
none
prtp
none
skip
none
SWAT+ Input File
Database Table
harv.ops
harv_ops
Field
Type
Description
Units
id
int
Auto-assigned identifier
name
text
Name of operation
harv_typ
text
Harvest type: grain, biomass, residue, tree, or tuber
harv_idx
real
Harvest index target specified at harvest
harv_eff
real
Harvest efficiency
harv_bm_min
real
Minimum biomass to allow harvest
kg/ha
description
text
Optional description
SWAT+ Input File
Database Table
graze.ops
graze_ops
Field
Type
Description
Units
Range
id
int
Auto-assigned identifier
name
text
Name of operation
fert_id
int
ID of fertilizer from fertilizer_frt
bm_eat
real
Dry weight of biomass removed by grazing daily
kg/ha
0-500
bm_tramp
real
Dry weight of biomass removed by trampling daily
kg/ha
0-500
man_amt
real
Dry weight of manure deposited
kg/ha
0-500
grz_bm_min
real
Minimum plant biomass for grazing to occur
kg/ha
0-5000
description
text
Optional description
SWAT+ Input File
Database Table
irr.ops
irr_ops
Field
Type
Description
Units
Range
id
int
Auto-assigned identifier
name
text
Name of operation
irr_eff
real
Irrigation efficiency
0-1
surq_rto
real
Surface runoff ratio
0-1
irr_amt
real
Depth of application for subsurface
mm
0-100
irr_salt
real
Concentration of salt in irrigation water
mg/l
irr_no3n
real
Concentration of nitrate in irrigation water
mg/l
irr_po4n
real
Concentration of phosphate in irrigation water
mg/l
description
text
Optional description
SWAT+ Input File
Database Table
chem_app.ops
chem_app_ops
Field
Type
Description
Units
id
int
Auto-assigned identifier
name
text
Name of operation
chem_form
text
Chemical form: liquid or solid
app_typ
text
Application type: spread, spray, inject, direct
app_eff
real
Application efficiency
foliar_eff
real
Foliar efficiency
inject_dp
real
Injection depth
mm
surf_frac
real
Surface fraction amount in upper 10mm
drift_pot
real
Drift potential
aerial_unif
real
Aerial uniformity
description
text
Optional description
SWAT+ Input File
Database Table
fire.ops
fire_ops
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of operation
chg_cn2
real
Change in SCS curve number II value
frac_burn
real
Fraction burned
description
text
Optional description
SWAT+ Input File
Database Table
sweep.ops
sweep_ops
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of operation
swp_eff
real
Removal efficiency of sweeping operation
frac_curb
real
Fraction of the curb length that is sweep-able
description
text
Optional description
SWAT+ Input File
Database Table
cntable.lum
cntable_lum
Field
Type
Description
Range
id
int
Auto-assigned identifier
name
text
Name of curve number entry
cn_a
real
Curve number for hydrologic soil group A
30-100
cn_b
real
Curve number for hydrologic soil group B
30-100
cn_c
real
Curve number for hydrologic soil group C
30-100
cn_d
real
Curve number for hydrologic soil group D
30-100
description
text
Optional description
treat
text
Treatment/Practice
cond_cov
text
Condition of cover
SWAT+ Input File
Database Table
cons_practice.lum
cons_practice_lum
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of curve number entry
usle_p
real
Usle p factor
slp_len_max
real
Maximum slope length
description
text
Optional description
SWAT+ Input File
Database Table
ovn_table.lum
ovn_table_lum
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of curve number entry
ovn_mean
real
Overland flow Manning's n = mean
ovn_min
real
Overland flow Manning's n = min
ovn_max
real
Overland flow Manning's n = max
description
text
Optional description
SWAT+ Input File
Database Table
lum.dtl, res_rel.dtl, scen_lu.dtl, flo_con.dtl
d_table_dtl
d_table_dtl_cond
d_table_dtl_cond_alt
d_table_dtl_act
d_table_dtl_act_out
Field
Type
Description
id
int
Auto-assigned identifier
name
text
Name of the decision table
file_name
text
File name denoting type of decision table: lum.dtl, res_rel.dtl, scen_lu.dtl, flo_con.dtl
Field
Type
Description
Related Table
id
int
Auto-assigned identifier
d_table_id
int
ID of decision table
d_table_dtl
var
text
Condition variable
obj
text
Object variable (res, hru, etc)
obj_num
int
Object number
lim_var
text
Limit variable (evol, pvol, fc, etc)
lim_op
text
Limit operator (*, +, -)
lim_const
real
Limit constant
Field
Type
Description
Related Table
id
int
Auto-assigned identifier
cond_id
int
ID of condition
d_table_dtl_cond
alt
text
Condition alternatives (>, <, =)
Field
Type
Description
Related Table
id
int
Auto-assigned identifier
d_table_id
int
ID of decision table
d_table_dtl
act_typ
text
Type of action (reservoir, irrigate, etc)
obj
text
Object variable (res, hru, etc)
obj_num
int
Object number
name
text
Name of action
option
text
Action option-specific to type of action (e.g., for reservoir, option to input rate, days of draw-down, weir equation pointer, etc)
const
real
Constant used for rate, days, etc
const2
real
fp
text
Pointer for option (e.g., weir equation pointer)
Field
Type
Description
Related Table
id
int
Auto-assigned identifier
act_id
int
ID of action
d_table_dtl_act
outcome
bool
Perform action (1 or true), or don't perform action (0 or false)
After writing your input files, click the arrow button in the leftmost blue toolbar to go to the run SWAT+ section. Click the button to run the model. A progress window will pop up displaying the results from the model executable program.
If you encounter an error, check the box to run the debug version and run the model again. Copy the contents of the output error and see our SWAT+ model user group for help diagnosing the problem.
SWAT+ Editor is a program that allows users to modify SWAT+ inputs easily without having to touch the SWAT+ input text files directly. The editor will import a watershed created in QSWAT+, or allow the user to create a SWAT+ project from scratch. The user may write input files and run the SWAT+ model through the editor.
The following software is used to create and build SWAT+ Editor:
SWAT+ Editor uses a SQLite database to hold model input data to allow easy manipulation by the user. The database is structured to closely resemble the SWAT+ ASCII text files in order to keep a clean link between the model and editor. The following conventions are used in the project database:
The table names will match the text file names, replacing any “.” or “-“ with an underscore “_”.
The table column names will match the model’s variable names. All names use lowercase and underscores.
Any text file with a variable number of repetitive columns will use a related table in the database. For example, many of the connection files contain a variable number of repeated outflow connection columns (obtyp_out, obtyno_out, hytyp_out, frac_out). In the database, we represent these in a separate table, basically transposing a potentially long horizontal file to columns.
All tables will use a numeric “id” as the primary key, and foreign key relationships will use these integer ids instead of a text name. This will allow for easier modification of these object names by the user and help keep the database size down for large projects.
A separate SQLite database containing common datasets and input metadata will be provided with SWAT+ Editor. (This is a replacement for the SWAT2012.mdb packaged with SWAT2012 versions of ArcSWAT, QSWAT, and SWATeditor.)
In addition, reformatted SSURGO and STATSGO soils databases is available for download. The structure of the soils database has been split into two tables: a soil table and soil_layer table.
Similarly, the global weather weather generator database is available for download in SQLite format. The structure of the wgn database has been split into two tables: a wgn table and wgn_monthly_value table.
SWAT+ Editor uses the Peewee ORM (object-relational mapping) to represent and work with the tables in Python. The use of an ORM provides a layer of abstraction and portability in hopes of streamlining future SWAT+ development projects.
Relationships are defined in a Peewee ORM python class as a ForeignKeyField
. In the python class, the field will be named after the object it is referencing. In the database, this name will automatically be appended by the referencing table’s column name, which is usually id
.
For example, we have two tables representing soils: soils (soils_sol
) and layers (soils_sol_layer
). The layer table has a foreign key to the main soils table, so we know to which soil the layer belongs. In the python class, this field is named soil
, and in the database it is called soil_id
.
See the link below for information about accessing and running the source code.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
The SWAT+ input documentation is available as a PDF file here. However, you may also follow the SWAT+ Editor documentation through this website, as it will describe the SWAT+ input files and fields.
SWAT+ output documentation is not yet available. However, units are available under the heading line in the output files, and also in the column_description
table in the output SQLite database.
Documentation for this section is not available yet. For now, please refer to the SWAT+ input/output documentation PDF for parameter definitions.
After successfully running the model, click the graph icon in the leftmost blue toolbar, then click the import output button to read your SWAT+ output files into a SQLite database. When you are done, close the SWAT+ Editor window to return to QSWAT+. From here, the step 4 button should be enabled in QSWAT+ and you can plot or map your output.
To change the output printed in your model run, go to the edit inputs section of SWAT+ Editor, and click print under the simulation section. Choose the data you want to print, save changes, then re-write input files and re-run the model.
See the simulation section documentation linked below for help with print options.
QSWAT+ and SWAT+ Editor use a SQLite database to hold model input data to allow easy manipulation by the user. The database is structured to closely resemble the SWAT+ input text files in order to keep a clean link between the model and editor.
We recommend using the SWAT+ Editor program provided to browse and edit SWAT+ input data. However, if you need to access the database, we recommend using:
There are many other alternatives out there. A few of them are:
SWAT+ contains many cross-walks between files, and the database follows suit by creating foreign key relationships where applicable. In the SWAT+ text files, you will see files reference object names from another file. In the database however, these are done with an integer id. Relational databases make it easy to view the referenced row.
In SQLite Studio, right-click a foreign key id in a row of data, and select “Go to referenced row in table …” as shown in the image below. This will open the referenced row of data in a new tab.
Results in:
If you plan to use QSWAT+ to set up your watershed, please install QGIS 3 before installing SWAT+. It can be downloaded from the , where you should select the Long term release repository, and the 64 bit standalone installer. Use the default folder C:\Program Files\QGIS 3.4 as the installation folder. See the for further instructions.
Please note you must use QGIS version 3, not version 2.
To install the SWAT+ model and interface components, please use the installer linked below. The installer is for 64-bit Windows machines. Administrator privileges are not required, however you must have access to your C drive.
Upon opening the installer, you will be presented with a screen asking which components you would like to install. The soils and weather generator databases will be downloaded in the next screen if checked.
If QSWAT+ and SWAT+ Editor are selected, their individual installers will open next.
The model itself is packaged with SWAT+ Editor and we recommend using the editor to modify your inputs and run the model. However, if you would like to download just the command line executable file, it is available below.
Note: the QSWAT+ and SWAT+ Editor available above require a Windows machine. However, we plan to compile for Linux at a later time. Please contact us if you need this.
We recommend using the SWAT+ Tools installer above for installing the SWAT+ datasets databases to their proper locations. However, if you need to access these components individually, they are linked below:
These files should be placed in C:\SWAT\SWATPlus\Databases