Checking the model schematisation
It is very useful to check your model schematisation before uploading. It can raise errors and let you solve them early on, or it can raise warnings, which you might want to solve.
Checking the model schematisation can only be done with toolboxes in QGIS designed for 3Di models, which come pre-installed with the Modeller Interface. For information how to download the Modeller Interface or the seperate plugins, please visit Installation manual.
Toolbox for working with 3Di models
The 3Di toolbox is actived by clicking the toolbox icon in the 3Di-Toolbox bar.
After clicking the toolbox icon, a new window is opened. Click the arrow next to the Tools icon to open the toolbox and view the different tools that are available.
The Raster checker is launched since the QGIS 3.4.5 version of the Plugin and now available for the LTR version. This tool checks the rasters for your 3Di model schematisation. The tool verifies for example:
The correct nodata value
Consistent projection between rasters
Alignment of all rasters
The principe of the raster checker is to check if your model will calculate. It does not validate on logical values and if elements are connected.
The RasterChecker checks your rasters based on the raster references in your sqlite. This is done for all v2_global_setting rows.
The following checks are executed:
– Per individual raster: –
1: Are all filenames of rasters within one setting_id unique? (3Di can handle this, but the RasterChecker not).
2: Do the referenced rasters (in all v2_tables) exist on your machine?
3: Is the raster file extension .tif / .tiff?
4: Is the raster filename valid? (no special characters, no space, max one ‘.’ and ‘/’)
5: Is the raster single- (not multi-) band?
6: Is the raster nodata value -9999?
7: Does the raster have a projected coordinate system (unit: meters)?
8: Is the raster data type float 32?
9: Is the raster compressed? (compression=deflate)
10: Does the pixelsize have max three decimal places?
11: Are the pixels square?
12: Are there no extreme pixel values? (dem: -10kmMSL<x<10kmMSL, other rasters have their own limits
– All rasters per setting_id at once: –
13: Is the cumulative number of pixels of all rasters per setting_id lower than 1.000.000.000?
– Raster comparison: –
14: Is the projection equal to the dem projection?
15: Is the pixel size equal to the dem pixel size?
16: Is the number of data/nodata pixels equal to the dem.
17: Is the number of rows-colums equal to the dem?
– Pixel allignment: –
18: Are pixels correctly aligned (data and nodata locations) with the dem?
How to use the raster checker?
To use the Raster checker, set up a connection with the SQlite of your model.
Open the Data Source Manager under the drop down menu Layer on top of the screen.
Go to SpatiaLite and click New. Browse to the location of your model Sqlite and open it.
Now you can close the Data Source Manager window.
The Raster checker can be accessed by opening the Toolbox.
The Raster checker can be found under Step 1 - Check data. By double clicking raster_checker.py the Raster checker is opened in a seperate window.
Under Model schematisation database you can choose the spatialite of your model.
Click OK to start the raster checker. When the tool is finished the following message pops-up:
The log-file of the raster checker can be found at the same location as the location of the SQlite. The log-file can be opened with a text editor such as Notepad. The log-file looks similar to:
Here, one can also find the overview of the 18 checks that are performed.
The performed checks are numbered 1 to 18. This number is called a check_id.
Under sub-heading Found following raster references, there is a list with the rasters used in your model schematisation.
Further down in the log-file, the outcome of the raster checker for each raster is shown.
The first column, named level, shows the importance of the notification (info, warning or error). Errors need to be solved.
The second column, named setting_id, refers to the id of the row in the v2_global_settings table of the sqlite, where the raster reference can be found.
The third column contains the check_id.
The fourth column is the feedback, it contains the outcome of the specific verification check.
If one of your rasters is not aligned with the DEM (bathymetry file), check_id 18 will give an error. Make sure all your rasters have the same extent and and have nodata pixels at the same location.
The schematisation checker analyses your 3Di model database (.sqlite file) for completeness and consistency between tables. With the checker you can make sure most database errors are found before sending the model to the 3Di servers for model generation.
In order to use the schematisation checker follow these steps:
Start the Modeller Interface
Add a connection to the model database (Layer -> Data Source Manager, Select SpatiaLite on the left and create a ‘New’ connection or connect to an existing connection)
Open the schematization checker by opening the Toolbox in the 3Di Plugin, select Step 1: check data, select schematisation_checker.py
Select the SpatiaLite connection of the model database and the location where to store the output of the schematisation checker. Click run to run the schematisation checker. Click open to open the output.
The output is a comma seperated value file, which can be opened in, for example, Excel. It contains 6 columns: id, table, column, value, description and check:
id: identification number of the row where a check encounters an error.
table: the table in which the error occurs.
column: the column which contains the error.
value: the current value in the cell
description: description of the error
check: the type of check that found the error, described below
What is checked?
There are currently different general checks applied on all tables and columns of the model database. These checks are:
Apart from the general checks on the database data and structure there are more 3Di specific checks:
TypeCheck Every cell in every table will be checked if the type of the entered value is correct. A values in cell is expected to be a(n): - integer (-4, 0,1,2, etc…) - real (3.6, -5.2) - text - varchar (text of limited length) - geometry (point, linestring or polygon) - bool (bolean, true or false) - datetime (2019-07-02 14:27+02:00)
EnumCheck Some cells expect specific values. For example, the type of a boundary condition is either 1, 2, 3 or 5 (respectively water level, velocity, discharge or Sommerfeld). Any value other than the enumerated values will result in an EnumCheck error.
NotNullCheck If a cell is NULL it id empty. For some cells this is allowed, but others cells are obliged to contain a value. If this obligation is not met, a NotNullCheck error is given.
n.b. An empty text or varchar does not equal NULL.
ForeignKeyCheck Many tables contain foreign key columns which refer to other tables. An example is the column connection_node_start_id in the table v2_channel. This column refers to the column id in the table v2_connection_node. If a channel is entered with connection_node_start_id = 1, there should be an entry in the table v2_connection_nodes with id = 1. If this is not the case a ForeignKeyCheck error will be given.
UniqueCheck Some values have to be unique. An example is the name column in v2_global_settings. If multiple rows are entered with the same name, a UniqueCheck error will be given.
GeometryCheck If an entered geometry is invalid the GeometryCheck error will be returned. The most occurring reason for invalid geometries is self-intersection of polygons.
GeometryTypeCheck This check makes sure the geometry type (point, linestring or polygon) is consistent with the expected geometry type.
BankLevelCheck Check if the row bank_level of v2_cross_section_locations table is not NULL, when the corresponding channel is of the type connected or double_connected.
CrossSectionShapeCheck Each type of cross-section shape requires certain input. This check verifies if all cross-section shapes are well posed:
Rectangle: A width is required, a height is optional. The dimensions should be positive decimal numbers.
Circle: Only a “width” is required. This is diameter of the circle and should be a positive decimal number.
Egg: Only a “width” is required. The height is 1.5 times the width. This value should be a positive decimal number.
Tabulated rectangle or trapezium: A list of widths and heights are required. The lists should contain only positive decimal numbers seperated by spaces and contain the same amount of values. The first value of height should always be 0. The height list should be increasing. In case the width is set to 0 m at the heighest increment, the cross-section is closed.
TimeseriesCheck This check verifies if time series are correctly defined. It checks whether the time steps in that table are all the same.
Use0DFlowCheck If 0D flow is configured in the global settings table, there should be at least 1 (impervious) surface defined in the model.