Predictable patterns in stacking and distribution of channelized fluvial sandbodies linked to channel mobility and avulsion process
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Published version
OA Location
Author(s)
Type
Journal Article
Abstract
Despite the importance of channel avulsion in constructing fluvial stratigraphy, it is unclear how contrasting avulsion processes are reflected instratigraphic-stacking patterns of channelized fluvial sandbodies, asa proxy for how riverdepocentersshifted in time and space. Using an integrated, geospatially-referenced 3D dataset that includesoutcrop, core, and LiDAR data, we identify for the first time in an outcropstudy a predictive relationship between channelized-sandbodyarchitecture, paleochannel mobility, and stratigraphic-stacking pattern. Single-story sandbodies tend to occur in vertically-stacked clusters that are capped by a multilateral sandbody, indicating an upward change from a fixed-channelsystem to a mobile-hannelsystem in each cluster.Vertical sandbody stacking in the clusters implies reoccupation of abandoned channelsafter “local” avulsion.Reoccupational avulsion may reflect channel confinement, location downstream of a nodal avulsion point that maintained its position during development of the sandbody cluster, and/or aggradation and progradation of a backwater-mediated channel downstream of a nodal avulsion point. Sandbody clusters and additional multilateral sandbodies are laterallyoffset or isolated from each other, implying compensational stackingdue to “regional” switching of a nodal avulsion point to anew, topographically-lowersite on the floodplain.The predictive links between avulsion mechanisms, channel mobility,and resultant sandbody distributions and stacking patterns shown in our findings haveimportant implications forexploringand interpreting spatio-temporal patterns of stratigraphic organizationin alluvial basins.
Date Issued
2020-09-01
Date Acceptance
2020-03-15
Citation
Geology (Boulder), 2020, 48 (9), pp.903-907
ISSN
0091-7613
Publisher
Geological Society of America
Start Page
903
End Page
907
Journal / Book Title
Geology (Boulder)
Volume
48
Issue
9
Copyright Statement
© 2020 The Authors. Gold Open Access: This paper is published under the terms of the CC-BY license (https://creativecommons.org/licenses/by/4.0/)
License URL
Sponsor
Chevron Energy Technology Company
Identifier
https://pubs.geoscienceworld.org/gsa/geology/article/48/9/903/586792/Predictable-patterns-in-stacking-and-distribution
Grant Number
N/A
Subjects
04 Earth Sciences
Geochemistry & Geophysics
Publication Status
Published
Date Publish Online
2020-06-01