AquiMod is a simple, lumped-catchment groundwater model. It simulates groundwater-level time series at a point by linking simple algorithms of soil drainage, unsaturated-zone flow and groundwater flow. It takes time series of rainfall and potential evapotranspiration as input and produces a time series of groundwater level. Hydrographs of flows through the outlets of the groundwater store are also generated, which can potentially be related to river flow measurements.
AquiMod has been applied widely in the UK and internationally for applications including operational seasonal and flood forecasting, groundwater level record reconstruction and climate change impact assessment. It has also been used to teach concepts of subsurface flow and modelling to a range of audiences including earth science undergraduates and water practitioners.
The software is easy to use and should be accessible to users who are new to the field of groundwater or hydrological modelling. The model is configured using a series of text files and run through the command line.
Key features of AquiMod
- Fast simulation of groundwater-level time series
- User-defined time stepping for flexibility
- Monte Carlo parameter sampling
- Automated global parameter optimisation (new to AquiMod 2!)
- Modular structure with multiple process representations
- Choice of objective functions to evaluate model efficiency
Since the release of AquiMod 1.0, the AquiMod development team have made a number of improvements to the source code. In 2022, these were incorporated into a new public release of the AquiMod groundwater modelling software: AquiMod 2. The developments include:
- setup wizard for easier installation/uninstallation across Windows versions
- two new soil zone components and four new saturated zone components
- streamlining of Weibull unsaturated zone component for faster runtime
- new F-score and weighted NSE-F-score objective functions
- new shuffled complex evolution mode for global parameter optimisation
- ability to impose soil moisture conditions
- ability to calibrate and evaluate against soil moisture data
- new, automated generation of template input files when not provided by the user
- improved handling and reporting of user input errors
A precompiled 32-bit binary distribution of AquiMod 2 for the Windows operating system can be downloaded for free along with the user manual which includes example applications and tutorials.
Ascott et al. 2022. Time of emergence of impacts of climate change on groundwater levels in sub-Saharan Africa. Journal of Hydrology, Vol. 312 Part A, 128107. DOI: https://doi.org/10.1016/j.jhydrol.2022.128107
Ascott, M J, Macdonald, D M J, Black, E, Verhoef, A, Nakohoun, P, Tirogo, J, Sandwidi, W J P, Bliefernicht, J, Sorensen, J P R, and Bossa, A Y. 2020. In situ observations and lumped parameter model reconstructions reveal intra-annual to multidecadal variability in groundwater levels in sub-Saharan Africa. Water Resources Research, Vol. 56(12), e2020WR028056. DOI: https://doi.org/10.1029/2020WR028056
Jackson, C R, Wang, L, Pachocka, M, Mackay, J D, Bloomfield, J P. 2016. Reconstruction of multi–decadal groundwater level time–series using a lumped conceptual model. Hydrological Processes, Vol. 30(18), 3107–3125. DOI: http://dx.doi.org/10.1002/hyp.10850
Lafare, A E A, Peach, D W, and Hughes, A G. 2021. Use of point scale models to improve conceptual understanding in complex aquifers: an example from a sandstone aquifer in the Eden valley, Cumbria, UK. Hydrological Processes, Vol. 35(5), e14143. DOI: https://doi.org/10.1002/hyp.14143
Mackay, J D, Jackson, C R, Brookshaw, A, Scaife, A A, Cook, J, Ward, R S. 2015. Seasonal forecasting of groundwater levels in principal aquifers of the United Kingdom. Journal of Hydrology, Vol. 530, 815–828. DOI: http://dx.doi.org/10.1016/j.jhydrol.2015.10.018
Mackay, J D, Jackson, C R, Wang, L. 2014. A lumped conceptual model to simulate groundwater level time–series. Environmental Modelling and Software, Vol. 61, 229–245. DOI: https://doi.org/10.1016/j.envsoft.2014.06.003
Marchant, B, Mackay, J, and Bloomfield, J. 2016. Quantifying uncertainty in predictions of groundwater levels using formal likelihood methods. Journal of Hydrology, Vol. 540, 699–711. DOI: https://doi.org/10.1016/j.jhydrol.2016.06.014
Prudhomme, C, Hannaford, J, Harrigan, S, Boorman, D, Knight, J, Bell, V, Jackson, C, Svensson, C, Parry, S, Bachiller-Jareno, N, Davies, H, Davis, R, Mackay, J, McKenzie, A, Rudd, A, Smith, K, Bloomfield, J, Ward, R, and Jenkins, A. 2017. Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales. Hydrological Sciences Journal, Vol. 62(16), 2753–2768. DOI: https://doi.org/10.1080/02626667.2017.1395032
Svensson, C, Brookshaw, A, Scaife, A A, Bell, V A, Mackay, J D, Jackson, C R, Hannaford, J, Davies, H N, Arribas, A, and Stanley, S. 2015. Long-range forecasts of UK winter hydrology. Environmental Research Letters, Vol. 10(6), 064006. DOI: https://doi.org/10.1088/1748-9326/10/6/064006
- Operational groundwater level forecasting including groundwater flood forecasting
- Impacts of climate change on groundwater levels: Future Flows and Groundwater Levels (FFGL) and Enhanced Future Flows and Groundwater (eFLaG) projects
- Groundwater level reconstruction and drought analysis: Historic Droughts project
- Simulation of groundwater flood extent in a permeable catchment
If you require further information, wish to report a problem with the software or have suggestions as to how we can improve it, please contact the AquiMod development team.