GMS

Getting a Head Start with the Import UGrid Points Tool

Does setting up an unstructured grid (UGrid) in your Ground-water Modeling System (GMS) project seem to take too many steps? If you already have a CSV file containing point information, one of the tools in our Toolbox can help you create a UGrid quickly. The Import UGrid Points tool allows you to import a CSV file and turn it into a UGrid in one process.

Example of a UGrid created from the Import UGrid Points tool

Our Import UGrid Points tool works similarly to the File Import Wizard does but processes CSV files with fewer steps and directly creates the UGrid. In order for the Import UGrid Points tool to work, the basic file must include, at a minimum, x and y coordinates. Z is optional. Other datasets associating data with each point may be included as well, and the Import UGrid Points tool can handle transient data associated with the points. Note that because it is limited to one z coordinate column, The Import UGrid Points tool will only create 2D UGrids.

The Import UGrid Points tool requires the CSV file have the following:

  • "No data value” values for any values that should import as "NULL" or "no data"
  • A time unit for those files containing transient data specified as a floating point number
  • A coordinate system projection file associated with the points you are importing

The CSV file must be properly formatted before importing. It must have a heading row to define each column of data. If the file also contains transient data for each point, the second row must be blank for the x, y and z coordinates but contain date/time information in a specified format. If the CSV file is not set up correctly, the tool will fail to set up the UGrid.

The Import UGrid Points tool is very useful for getting a head start on the UGrid creation, especially if you already have older data you've been wanting to import. As long as it is formatted correctly, and you have the projection file to match it to, you can try it here. If you have a file that isn't working with the File Import Wizard, you could also try this tool.

Head on over to GMS and try the Import UGrid Points tool today!

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Three Methods for Assigning CHD

Do you have a Ground-water Modeling System (GMS) project where you are needing to edit values in your constant head cells? If it is a simple grid approach, academic-style project, editing each cell is likely fine. But if you have a large, more complex, conceptual model, editing the constant head cells may prove problematic. Here are some ways that you can accomplish this with a minimum of effort.

A constant head (CHD) cell is an area where the water levels will remain fairly steady no matter what the inflow or outflow may be. Lakes, coastal areas, etc. are good candidates of constant head boundaries. Assigning cells to be constant heads provides a steady boundary where the water levels will stay the same for the model duration.

Example of a CHD boundary

The constant head cells are typically assigned or edited in one of three ways. One method is to directly edit the IBOUND array. When setting up a MODFLOW simulation or when editing packages, the MODFLOW | Global Options menu will let you choose the IBOUND package to edit the options there including the array. Copying and pasting data from an external spreadsheet into the array could save you time here.

Another method is to select a set of cells and use the 3D Grid Cell Properties dialog. You can right-click on a cell to bring up the dialog. Make sure you are on the MODFLOW tab and edit the “IBOUND” and “Starting head” rows. If multiple cells are selected, this will edit all selected cells.

The simplest method is to define the constant head zones using feature objects as part of a conceptual model in the Map module. When you set up a coverage using the feature objects, the Coverage Setup dialog will allow you to assign CHD to cells in the grid. You can change what the default assignment will be if you also select “Layer Range” and make changes using the Attribute Table.

Whichever method you choose to assign CHD, when you are ready to run your ground-water model, the Model Checker can be used to see if there are errors in the assigned constant head cells. Then you can correct those cells mentioned specifically by using the IBOUND array or the Cell Properties dialog as mentioned above.

Head on over to GMS and see which method of defining your constant head cells works best for you!

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Reliable Grid Conversion with the Voronoi UGrid from UGrid Tool

Did you realize while planning your Groundwater Modeling System (GMS) project that a different unstructured grid (UGrid) would be a better fit? UGrids are very flexible and can be refined around streams, wells, basins, and other objects. But sometimes, one type of UGrid may fit better than another for a particular project. The Voronoi UGrid is one of the more flexible types of UGrids available in GMS. The Voronoi UGrid from UGrid Tool in the Toolbox is there to help convert a UGrid into a Voronoi UGrid.

For most UGrids, the attributes and boundary conditions assigned are associated with the edges, points, and nodes, all on the outer edges of the cells. For a Voronoi UGrid, those things are associated with the point at the center of the cell.

Example of a Voronoi grid

If your model is fairly straight-forward, has structured boundaries or rectangular domains, UGrids with rectangular cells might still be the better choice. Or, if you require computational efficiency, the Voronoi UGrid may not be your best choice. However, if those are not considerations, then using the Voronoi UGrid from UGrid Tool may be a good option for you.

With a Voronoi UGrid, you get even greater flexibility to refine around irregular boundaries thus improving your groundwater model’s accuracy. The cells of the Voronoi UGrid are created with an algorithm that depends solely on the geometry of the points, arcs, and polygons in the active coverage. Voronoi UGrid cells can have more sides (up to eight) than just the three or four sides allowed in most other UGrids. Therefore, it can fit into the boundaries of a model and be refined along arcs and at points much more accurately.

You will find the Voronoi UGrid from UGrid Tool in the Unstructured Grid folder of the Toolbox. The Voronoi UGrid from UGrid Tool only needs the input UGrid and a name for the new Voronoi UGrid it will generate. There are some limitations to the tool. Conversions may not occur if any created final cells would have more than 8 edges. The UGrid being converted must contain only 2D cells. And there can also be no disjoint regions where cells aren’t connected to the rest of the UGrid.

Head on over to GMS to see if the Voronoi UGrid from UGrid tTool will help your model!

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How to Prioritize Interpolating Multiple Rasters

Do you have a project requiring multiple elevation rasters that are difficult to reconcile with each other? To manage the rasters, and get the best data for your project, our Groundwater Modeling System (GMS) has many tools in the Toolbox to help. One of these, the Interpolate Priority Rasters tool, gives you the ability to prioritize the elevation data from each raster.

When multiple rasters are interpolated to the geometry, multiple datasets will be created, one for each raster. A raster catalog can help consolidate this information but it doesn’t prioritize data. With the Interpolate Priority Rasters tool, you can specify exactly which raster takes precedence first, second, and so on. It will create one dataset that contains all the prioritized information. This ensures that the information most important to your model can be retained and used.

Multiple overlapping rasters

Rasters downloaded from separate sources, or from the same database but at differing times, can contain discrepancies in the data. When the rasters overlap, those differences can create problems with the model. If major discrepancies exist, some of the other tools in the Toolbox can help correct them before using the Interpolate Priority Rasters tool.

In GMS, the Interpolate Priority Raster tool can be used with both 2D and 3D UGrid geometries. All that is needed for this tool is a geometry selected, a dataset used to provide default values for interpolation, a method for interpolation, and the selected rasters placed in the order of priority. Once run, a new dataset is created with the integrated data. If the new dataset is meant to be the elevation of the target geometry, you will need to map it manually because it will not be done automatically, but you will have an interpolated raster that is consistent across the model.

Head on over to GMS and try the Interpolate Priority Rasters tool in your models.

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