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Anjali M. Fernandes
Researcher at University of Connecticut
Publications - 22
Citations - 392
Anjali M. Fernandes is an academic researcher from University of Connecticut. The author has contributed to research in topics: Geology & Climate change. The author has an hindex of 6, co-authored 13 publications receiving 282 citations. Previous affiliations of Anjali M. Fernandes include Denison University & Tulane University.
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Vulnerability of Louisiana's coastal wetlands to present-day rates of relative sea-level rise
TL;DR: Comparison of vertical accretion rates with RSLR rates at the land surface shows that 65% of wetlands in the Mississippi Delta may keep pace with R SLR, whereas 58% of the sites in the Chenier Plain do not, rendering much of this area highly vulnerable to RLSR.
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Connecting the backwater hydraulics of coastal rivers to fluvio-deltaic sedimentology and stratigraphy
TL;DR: In this paper, the authors used the estimated backwater length and average channel width as characteristic length scales to non-dimensionalize the downstream trends in channel-belt width for these systems, suggesting that the observed variations in channelbelt geometry and fluvio-deltaic stratigraphy are tied to the location of the backwater transition zone.
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A New Subsidence Map for Coastal Louisiana
TL;DR: In this article, the authors presented a new subsidence map and calculated that, on average, coastal Louisiana is subsiding at 9 ± 1 mm yr−1, which is the highest rate in the US.
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The Stratigraphically Preserved Signature of Persistent Backwater Dynamics in a Large Paleodelta System: The Mungaroo Formation, North West Shelf, Australia
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Quantifying natural delta variability using a multiple‐point geostatistics prior uncertainty model
TL;DR: In this article, the authors address the question of quantifying uncertainty associated with autogenic pattern variability in a channelized transport system by means of a modern geostatistical method, and investigate two methods to determine how many training images and what training should be provided to reproduce natural autogenic variability.