Na Yan
University of Leeds
13 Papers
38 Citations
Na Yan is an academic researcher from University of Leeds. The author has contributed to research in topics: Meander & Fluvial. The author has an hindex of 6, co-authored 12 publications. Previous affiliations of Na Yan include King's College London.
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Papers
Parabolic dunes and their transformations under environmental and climatic changes: Towards a conceptual framework for understanding and prediction
Na Yan,Andreas C.W. Baas +1 more
- 01 Jan 2015
TL;DR: The formation and evolution of parabolic aeolian dunes depend on vegetation, and as such are particularly sensitive to changes in environmental controls (e.g., temperature, precipitation, and wind regime) as well as to human disturbances as discussed by the authors.
A 3D forward stratigraphic model of fluvial meander-bend evolution for prediction of point-bar lithofacies architecture
TL;DR: The Point-Bar Sedimentary Architecture Numerical Deduction model is applied to predict the sedimentary lithofacies architecture of ancient preserved point-bar and counter-point-bar deposits of the middle Jurassic Scalby Formation to demonstrate the predictive capabilities of PB-SAND in modelling 3D architectures of different types of meander-bend transformations.
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Environmental controls, morphodynamic processes, and ecogeomorphic interactions of barchan to parabolic dune transformations
Na Yan,Na Yan,Andreas C.W. Baas +2 more
TL;DR: In this article, a cellular automaton model is extended to fully explore how vegetation characteristics, boundary conditions, and wind regime influence the transformation process and the resulting dune morphologies.
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Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method
TL;DR: In this article, the authors present a workflow for building static models of fluvial reservoirs composed of large point-bar architectural elements, based on the application of a specialized forward stratigraphic model, named Point-Bar Sedimentary Architecture Numerical Deduction (PB-SAND).
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Combined inverse and forward numerical modelling for reconstruction of channel evolution and facies distributions in fluvial meander-belt deposits
Marion Parquer,Marion Parquer,Na Yan,Luca Colombera,Nigel P. Mountney,Pauline Collon,Guillaume Caumon +6 more
TL;DR: In this paper, two methods, ChaRMigS and PB-SAND, are combined to predict fluvial meander-belt facies distributions, using a subsurface dataset on a Pleistocene succession from the Gulf of Thailand.
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