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Sylvain

Transient spatially distributed recharge

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Hi,

I would like to know if there is another way than manually assign transient recharge values from 2d array in the recharge package window. I have 120 raster (10 years of monthly recharge) of spatially distributed recharge to load in GMS. I'm thinking of going into MODFLOW input files.

 

Any ideas?

 

Regards

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Hi Sylvain -- I've had good results using a 2-D grid.

I) create a 2-D grid from the 3-D grid

2) do a linear (or other type) interpolation of your raster recharge data to the to 2-D grid. These will stack up for your 120 rasters under the 2-D grid

3) Go to MODFLOW -> Optional Packages -> Recharge and the use the 2D Dataset - > Array to put the 120 datasets into the model at the appropriate stress period

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Hi,

 

Thanks for the reply. But i was looking for a more automated process than manually import the interpolated data into the Recharge window (2D Dataset -> Array) and assign them to each stress period. Lets say it takes  1 min to import each 2d grid for each stress period and i have 120!

Thanks!

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Thank you for sharing the solution. Nice one :) Have you used some sort of interpolation to obtain modflow compatible dataset from the raster data? Or is the grid and rasters identical in number of rows and columns?

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We will be adding a feature to the next version of GMS to apply rasters to various stress periods in the Areal packages (RCH, EVT, ETS). There will not be a need to import these into your project they can be processed directly from the RCH package.

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Hi Sylvain, Alan,

I also have >100 recharge rasters for different stress periods that I would like to import in my MODFLOW model. The recharge raster grid is identical to my MODFLOW grid. Sylvain, would it be possible to give some insight in your R code to directly write the data to the MODFLOW GMS hdf5 file? I managed to read my current recharge in the .h5 file using the package you mentioned but I don't know how to correctly write new recharge values for multiple stress periods to the .h5 file? I have my recharge rasters ready as R data frames.

Alan, is this new feature already available in version 10.3.6?

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