Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives

A. Veldkamp, J.E.M. Baartman, T. J. Coulthard, D. Maddy, J.M. Schoorl, J. E A Storms, A.J.A.M. Temme, R.T. van Balen, J.G.C.M. van de Wiel, W. van Gorp, W. Viveen, R. Westaway, A. C. Whittaker

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Abstract

The development and application of numerical models to investigate fluvial sedimentary archives has increased during the last decades resulting in a sustained growth in the number of scientific publications with keywords, 'fluvial models', 'fluvial process models' and 'fluvial numerical models'. In this context we compile and review the current contributions of numerical modelling to the understanding of fluvial archives. In particular, recent advances, current limitations, previous unexpected results and future perspectives are all discussed. Numerical modelling efforts have demonstrated that fluvial systems can display non-linear behaviour with often unexpected dynamics causing significant delay, amplification, attenuation or blurring of externally controlled signals in their simulated record. Numerical simulations have also demonstrated that fluvial records can be generated by intrinsic dynamics without any change in external controls. Many other model applications demonstrate that fluvial archives, specifically of large fluvial systems, can be convincingly simulated as a function of the interplay of (palaeo) landscape properties and extrinsic climate, base level and crustal controls. All discussed models can, after some calibration, produce believable matches with real world systems suggesting that equifinality - where a given end state can be reached through many different pathways starting from different initial conditions and physical assumptions - plays an important role in fluvial records and their modelling. The overall future challenge lies in the development of new methodologies for a more independent validation of system dynamics and research strategies that allow the separation of intrinsic and extrinsic record signals using combined fieldwork and modelling.

Original languageEnglish
Pages (from-to)177-187
JournalQuaternary science reviews
Volume166
DOIs
Publication statusPublished - 15 Jun 2017

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future perspective
modeling
fluvial process
fieldwork
amplification
calibration
research planning
methodology
Fluvial
Modeling
climate
simulation

Keywords

  • Equifinality
  • Fluvial stratigraphy
  • Intrinsic and extrinsic control
  • Non-linearity
  • Numerical model
  • Signal shredding
  • ITC-ISI-JOURNAL-ARTICLE
  • .

Cite this

Veldkamp, A., Baartman, J. E. M., Coulthard, T. J., Maddy, D., Schoorl, J. M., Storms, J. E. A., ... Whittaker, A. C. (2017). Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives. Quaternary science reviews, 166, 177-187. https://doi.org/10.1016/j.quascirev.2016.10.002
Veldkamp, A. ; Baartman, J.E.M. ; Coulthard, T. J. ; Maddy, D. ; Schoorl, J.M. ; Storms, J. E A ; Temme, A.J.A.M. ; van Balen, R.T. ; van de Wiel, J.G.C.M. ; van Gorp, W. ; Viveen, W. ; Westaway, R. ; Whittaker, A. C. / Two decades of numerical modelling to understand long term fluvial archives : Advances and future perspectives. In: Quaternary science reviews. 2017 ; Vol. 166. pp. 177-187.
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Veldkamp, A, Baartman, JEM, Coulthard, TJ, Maddy, D, Schoorl, JM, Storms, JEA, Temme, AJAM, van Balen, RT, van de Wiel, JGCM, van Gorp, W, Viveen, W, Westaway, R & Whittaker, AC 2017, 'Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives' Quaternary science reviews, vol. 166, pp. 177-187. https://doi.org/10.1016/j.quascirev.2016.10.002

Two decades of numerical modelling to understand long term fluvial archives : Advances and future perspectives. / Veldkamp, A.; Baartman, J.E.M.; Coulthard, T. J.; Maddy, D.; Schoorl, J.M.; Storms, J. E A; Temme, A.J.A.M.; van Balen, R.T.; van de Wiel, J.G.C.M.; van Gorp, W.; Viveen, W.; Westaway, R.; Whittaker, A. C.

In: Quaternary science reviews, Vol. 166, 15.06.2017, p. 177-187.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Storms, J. E A

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AU - van Balen, R.T.

AU - van de Wiel, J.G.C.M.

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AU - Westaway, R.

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