Articles | Volume 27, issue 23
Research article
06 Dec 2023
Research article |  | 06 Dec 2023

Estimation of groundwater age distributions from hydrochemistry: comparison of two metamodelling algorithms in the Heretaunga Plains aquifer system, New Zealand

Conny Tschritter, Christopher J. Daughney, Sapthala Karalliyadda, Brioch Hemmings, Uwe Morgenstern, and Catherine Moore

Related authors

Short high-accuracy tritium data time series for assessing groundwater mean transit times in the vadose and saturated zones of the Luxembourg Sandstone aquifer
Laurent Gourdol, Michael K. Stewart, Uwe Morgenstern, and Laurent Pfister
Hydrol. Earth Syst. Sci. Discuss.,,, 2023
Revised manuscript under review for HESS
Short summary
Sources and mean transit times of stream water in an intermittent river system: the upper Wimmera River, southeast Australia
Zibo Zhou, Ian Cartwright, and Uwe Morgenstern
Hydrol. Earth Syst. Sci., 26, 4497–4513,,, 2022
Short summary
Comment on “A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions” by Rodriguez et al. (2021)
Michael Kilgour Stewart, Uwe Morgenstern, and Ian Cartwright
Hydrol. Earth Syst. Sci., 25, 6333–6338,,, 2021
Short summary
On the assimilation of environmental tracer observations for model-based decision support
Matthew J. Knowling, Jeremy T. White, Catherine R. Moore, Pawel Rakowski, and Kevin Hayley
Hydrol. Earth Syst. Sci., 24, 1677–1689,,, 2020
Short summary
Mean transit times in headwater catchments: insights from the Otway Ranges, Australia
William Howcroft, Ian Cartwright, and Uwe Morgenstern
Hydrol. Earth Syst. Sci., 22, 635–653,,, 2018
Short summary

Related subject area

Subject: Groundwater hydrology | Techniques and Approaches: Modelling approaches
Technical note: A model of chemical transport in a wellbore–aquifer system
Yiqun Gan and Quanrong Wang
Hydrol. Earth Syst. Sci., 28, 1317–1323,,, 2024
Short summary
Disentangling coastal groundwater level dynamics in a global dataset
Annika Nolte, Ezra Haaf, Benedikt Heudorfer, Steffen Bender, and Jens Hartmann
Hydrol. Earth Syst. Sci., 28, 1215–1249,,, 2024
Short summary
Current and future roles of meltwater–groundwater dynamics in a proglacial Alpine outwash plain
Tom Müller, Matteo Roncoroni, Davide Mancini, Stuart N. Lane, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 28, 735–759,,, 2024
Short summary
On the challenges of global entity-aware deep learning models for groundwater level prediction
Benedikt Heudorfer, Tanja Liesch, and Stefan Broda
Hydrol. Earth Syst. Sci., 28, 525–543,,, 2024
Short summary
Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models
Trine Enemark, Rasmus Bødker Madsen, Torben O. Sonnenborg, Lærke Therese Andersen, Peter B. E. Sandersen, Jacob Kidmose, Ingelise Møller, Thomas Mejer Hansen, Karsten Høgh Jensen, and Anne-Sophie Høyer
Hydrol. Earth Syst. Sci., 28, 505–523,,, 2024
Short summary

Cited articles

Abrams, D. and Haitjema, H.: How aquifer characteristics of a watershed affect transit time distributions of groundwater, Groundwater, 56, 517–520,, 2018. 
Asher, M. J., Croke, B. F. W., Jakeman, A. J., and Peeters, L. J. M.: A review of surrogate models and their application to groundwater modeling, Water Resour. Res., 51, 5957–5973,, 2015. 
Beanland, S., Melhuish, A., Nicol, A., and Ravens, J.: Structure and deformational history of the inner forearc region, Hikurangi subduction margin, New Zealand, NZ J. Geol. Geophys., 41, 325–342,, 1998. 
Begg, J. G., Jones, K. E., Lee, J. M., and Tschritter, C.: 3D geological model of the Napier-Hastings urban area [explanatory text], GNS Science geological map 7b, GNS Science, Lower Hutt, NZ, p. 21,, 2022. 
Beyer, M., Jackson, B., Daughney, C., Morgenstern, U., and Norton, K.: Use of hydrochemistry as a standalone and complementary groundwater age tracer, J. Hydrol., 543, 127–144,, 2016. 
Short summary
Understanding groundwater travel time (groundwater age) is crucial for tracking flow and contaminants. While groundwater age is usually inferred from age tracers, this study utilised two machine learning techniques with common groundwater chemistry data. The results of both methods correspond to traditional approaches. They are useful where hydrochemistry data exist but age tracer data are limited. These methods could help enhance our knowledge, aiding in sustainable freshwater management.