pastas / pastas_research

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Pastas Research

One of the main purposes of Pastas is to drive the development of new methods and applications of transfer function noise modelling in the field of groundwater sciences. This repository provides a location to collect reports, journal articles and presentations in which the Pastas software was used. If you want to contribute your work to this repository list please sent an email to Raoul.Collenteur@eawag.ch or create a pull request.

Note This list is no longer maintained here. Please add your studies using Pastas to our public Zotero group!

Articles [International]

Brakenhoff, D.A., Vonk, M.A., Collenteur, R.A., van Baar, M., Bakker, M. (2022): Application of time series analysis to estimate drawdown from multiple well fields.. Front. Earth Sci. 10. doi: 10.3389/feart.2022.907609

Babre, A., Kalvāns, A., Avotniece, Z., Retiķe, I., Bikše, J., Jemeljanova, K.P.M., Zelenkevičs, A., Dēliņa, A. (2022): The use of predefined drought indices for the assessment of groundwater drought episodes in the Baltic States over the period 1989–2018. Journal of Hydrology: Regional Studies, 40, 101049. doi: 10.1016/j.ejrh.2022.101049

Uwihirwe, J., Hrachowitz, M., and Bogaard, T. (2022): Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda. Nat. Hazards Earth Syst. Sci. Discuss, 22, 1723–1742. doi: 10.5194/nhess-2021-222

Brakkee, E., van Huijgevoort, M., and Bartholomeus, R. P. (2022): Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands. Hydrol. Earth Syst. Sci., 26, 551–569, doi: 10.5194/hess-26-551-2022

Collenteur, R.A. (2021) How Good Is Your Model Fit? Weighted Goodness-of-Fit Metrics for Irregular Time Series. Groundwater, 59: 474-478. doi: 10.1111/gwat.13111

Collenteur, R. A., Bakker, M., Klammler, G., and Birk, S. (2021) Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data. Hydrol. Earth Syst. Sci., 25, 2931–2949, doi: 10.5194/hess-25-2931-2021.

Urgilez Vinueza, A., Robles, J., Bakker, M., Guzman, P., Bogaard, T. (2020) Characterization and Hydrological Analysis of the Guarumales Deep-Seated Landslide in the Tropical Ecuadorian Andes. Geosciences 2020, 10, 267. doi: 10.3390/geosciences10070267

Pezij, M., Augustijn, D. C., Hendriks, D. M., & Hulscher, S. J. (2020) Applying transfer function-noise modelling to characterize soil moisture dynamics: A data-driven approach using remote sensing dat. Environmental Modelling & Software, 104756. doi: 10.1016/j.envsoft.2020.104756.

Collenteur, R.A., Bakker, M., Caljé, R., Klop, S.A., Schaars, F. (2019) Pastas: open source software for the analysis of groundwater time series. Groundwater. doi: 10.1111/gwat.12925.

Bakker, M., Schaars, F. (2019) Solving groundwater flow problems with time series analysis: you may not even need another model. Groundwater. doi: 10.1111/gwat.12927.

PhD / Msc / Bsc Theses

Vonk, M.A. (2021) Performance of nonlinear time series models to simulate synthetic groundwater table time series from an unsaturated zone model. Delft University of Technology, Delft, The Netherlands.

Krijnen, P. (2021) Climate adaptation measures for local flooding of the Dutch national highway network. Delft University of Technology, Delft, The Netherlands.

Lindblom, A. & Boström, L. (2021) Evaluating transfer-function models to understand groundwater level impacts-A study of head changes due to drainage and infiltration in an underground infrastructure project. Chalmers University of Technology, Sweden.

Ali, S. & Patel, K. (2021) Time-series Analysis Using a Transfer Function Noise Model Interpolation of Groundwater Levels from File Hajdar, Gotland. Chalmers University of Technology, Sweden.

van 't Klooster, F. (2021) Estimating hydraulic aquifer parameters from tide-induced groundwater fluctuations. Delft University of Technology, Delft, The Netherlands.

Demetriades, V. (2020) Relating groundwater heads to stream discharge by using machine learning techniques: A case study in subcatchment Chaamse Beken. Delft University of Technology, Delft, The Netherlands.

Pezij M. (2020) Application of soil moisture information for operational water management. Enschede: University of Twente. https://doi.org/10.3990/1.9789036549486

Peijnenburg, J.J.J. (2019) The effect of measures for nature restoration on groundwater levels in the nature reserve Strabrechtse Heide. Utrecht University, Utrecht, The Netherlands.

Schütt, K. (2019) Application of real-time groundwater level forecasting in Northern Limburg. Nelen & Schuurmans, Utrecht, The Netherlands.

Rorink, T. (2019) Understanding unsaturated soil water dynamics of the Twente region using actual evapotranspiration and soil moisture data. Waterschap Vechtstromen, The Netherlands.

Klop, S. (2019) From observation well to model area: Estimating groundwater levels spatially using time series analysis. Delft University of Technology, Delft, The Netherlands.

Articles/Reports [In Dutch]

STOWA: Von Asmuth, J., Baggelaar, P., Bakker, M., Brakenhoff, D., Collenteur, R., Ebbens, O., Mondeel, H., Klop, S., Schaars, F. (2021) Handleiding Tijdreeksanalyse

Baggelaar, P.K. en Van der Meulen, E.C.J. (2020) Naar betere tijdreeksmodellering met Pastas. Rapport van AMO (Hengelo) en PB Icastat (Amstelveen), 70 blz., 24 fig., 16 tab., 11 ref.

Graafstra, P., Oosterhoff, R. (2019) Analyse risico’s grondwateronderlast in de gemeente Lingewaard

Collenteur, R.A., Caljé, R. (2018) Proeftuin Regte Heide Fokmast : Evaluatie van aanwezige grondwatermeetpunten met behulp van tijdreeksanalyse

Collenteur, R.A. (2018) Over autocorrelatie van tijdreeksmoddellen met niet-equidistante tijdstappen. Artesia, Schoonhoven, Nederland.

Caljé, R. (2018) Trendanalyse beregeningsbeleid 2018. Artesia, Schoonhoven, Nederland.

Beekman, W., Caljé, R., Collenteur, R.A. (2018) Meetstrategie rond stillegging winning Weerselo: Een theoretische verkenning. Artesia, Schoonhoven, Nederland.

Beekman, W., Caljé, R. (2018) Doorwerking droogte van 2018 in Overijssel: Voorspelling per eind september. Artesia, Schoonhoven, Nederland.

Popma, J.,Barth, R., Oudega, M., Schaars , F., Calje, R., Fordeyn J. (2018) Minimaliseren van het risico op zoute kwel PHZD. Land en Water, Nr. 11.

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:mortar_board: Repository to hold public articles or presentations on Pastas.