Presentation by Hendrik Kok (Tauw) at the iMOD International User Day, during Delft Software Days - Edition 2017. Tuesday, 31 October 2017, Delft.

1. New iMOD waterbalance tool
Hendrik Kok

2. Content
• Development
• Advantages
• Usage
• Example of data aggregation and visualization

3. Development
• The pre-assessor was developed by André Blonk from Tauw, and
used in various Tauw projects
• The iMOD-version was developed by André Blonk and Peter
Vermeulen
• To be released in new iMOD version

4. Advantages
• Water balances per budget term, time step and layer
• Water balances for multiple zones with option to save
fluxes between zones
• Extensive options for data aggregation and
visualization
• Generating illustrative plots with (average) fluxes in
zones

5. Usage
• Generating water balance can be done in iMOD GUI
and iMOD batch (calculations can be time consuming)
• Visualization of water balances in iMOD GUI
• Postprocessing water balance data can be done in
Excel, R, Python, etc…

6. Visualization total waterbalance
Total time period, all budget terms, all model layers (9)

7. Visualization waterbalance: data aggregation
Budget terms: flux field, storage, wells
Layers 6-9
Qwel = Qflowfield+dS

8. Visualization waterbalance: data aggregation
One average value per decade (10 days)

9. Visualization waterbalance: data aggregation
Time period 2002, flow terms grouped into lateral and
vertical budgets

10. Visualization waterbalance: data aggregation
Flowfield grouped into single budget term

11. Visualization waterbalance: data aggregation
Flowfield combined to net budget
Imbalance ?

12. Visualization waterbalance: data aggregation
Added Metaswap budget (irrigation unsaturated zone)
Qwel = Qflowfield+dS+Qcap

13. Visualization waterbalance: illustrative plot
Illustrative plots average water balance

14. Summarizing
• Powerful tool to better understand the groundwater
system and/or model
• All generated data summarized in csv-file, which can
be post-processed
• Various aggregation options to better interpret
generated data
• Various visualization options to fit usage and user
preferences