Prediction of shoreline–shelf depositional process regime guided by palaeotidal modelling
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to
this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Collins, Daniel SAvdis, Alexandros
Wells, Martin R
Dean, Christopher

Mitchell, Andrew J
Allison, Peter A
Johnson, Howard D
Hampson, Gary J
Hill, Jon
Piggott, Matthew D
Issue date
2021-10-29Submitted date
2021-10Subject Terms
shoreline-shelfwave
tide
fluvial
process regime
numerical modelling
Palaeotidal
Metadata
Show full item recordAbstract
Ancient shoreline–shelf depositional systems are influenced by an unusually wide array of geological, biological and hydrodynamic processes, with sediment transport and deposition primarily determined by the interaction of river, wave (including storm) and tidal processes, and changes in relative sea level. Understanding the impact of these processes on shoreline–shelf morphodynamics and stratigraphic preservation remains challenging. Numerical modelling integrated with traditional facies analysis provides an increasingly viable approach, with the potential to quantify, and thereby improve understanding of, the impact of these complex coastal sedimentary processes. An integrated approach is presented here that focuses on palaeotidal modelling to investigate the controls on ancient tides and their influence on sedimentary deposition and preservation – one of the three cornerstones of the ternary process classification scheme of shoreline-shelf systems. Numerical tidal modelling methodology is reviewed and illustrated in three palaeotidal model case studies of different scales and focus. The results are synthesised in the context of shoreline–shelf processes, including a critique and modification of the process-based classification scheme. The emphasis on tidal processes reflects their global importance throughout Earth’s history. Ancient palaeotidal models are able to highlight and quantify the following four controls on tidal processes: (1) the physiography (shape and depth) of oceans (1000s km scale) determines the degree of tidal resonance; (2) the physiography of ocean connections to partly enclosed water bodies (100–1000s km scale) determines the regional-scale flux of tidal energy (inflow versus outflow); (3) the physiography of continental shelves influences shelf tidal resonance potential; and (4) tides in relatively local-scale embayments (typically 1–10s km scale) are influenced by the balance of tidal amplification due to funnelling, shoaling and resonance effects versus frictional damping. In deep time, palaeogeographic and palaeobathymetric uncertainty can be accounted for in palaeotidal models by performing sensitivity analyses to different scenarios, across this range of spatial scales. These tidal process controls are incorporated into an updated predictive decision tree for determining shoreline–shelf process regime in terms of the relative interaction of wave, fluvial and tidal processes. The predictive decision tree considers the effects of basin physiography, shelf width and shoreline morphology on wave, fluvial and tidal processes separately. Uncertainty and ambiguity in applying the widely used three-tier process classification scheme are reduced by using the decision tree in conjunction with a proposed two-tier classification of process regime that is limited to primary and secondary processes. This two-tier classification scheme is illustrated in the three case studies, showing how integration of numerical modelling with facies analysis of the preserved stratigraphic record improves confidence in prediction of tide-influenced shoreline-shelf process regimes. Wider application of this approach will further improve process-based classifications and predictions of modern and ancient shoreline–shelf systems.Citation
D.S. Collins, A. Avdis, M.R. Wells, et al., Prediction of shoreline–shelf depositional process regime guided by palaeotidal modelling, EarthScience Reviews (2021), https://doi.org/10.1016/j.earscirev.2021.103827Publisher
Elsevier BVJournal
Earth-Science ReviewsType
Journal ArticleItem Description
Copyright © 2021, Collins, D et al. This document is the author’s accepted version of the journal article. You are advised to consult the published version if you wish to cite from it.ISSN
0012-8252ae974a485f413a2113503eed53cd6c53
10.1016/j.earscirev.2021.103827
Scopus Count
Collections