4.8 Article

Stochastic dynamics of barrier island elevation

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NATL ACAD SCIENCES
DOI: 10.1073/pnas.2013349118

关键词

Barrier islands; stochastic dynamics; coastal dunes; master equation

资金

  1. Texas A&M Engineering Experiment Station

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Barrier islands are ubiquitous coastal features that provide low-energy environments for the development of salt marshes, oyster reefs, and mangroves while offering protection to interior coastal communities from storm surges and erosion. The dynamics of barrier systems are controlled by stochastic processes involving various factors such as sea level rise, sand availability, and plant ecosystem stress. The recovery time of barriers after storms changes rapidly with control parameters, indicating a tipping point in barrier response to external drivers.
Barrier islands are ubiquitous coastal features that create low-energy environments where salt marshes, oyster reefs, and mangroves can develop and survive external stresses. Barrier systems also protect interior coastal communities from storm surges and wave-driven erosion. These functions depend on the existence of a slowly migrating, vertically stable barrier, a condition tied to the frequency of storm-driven overwashes and thus barrier elevation during the storm impact. The balance between erosional and accretional processes behind barrier dynamics is stochastic in nature and cannot be properly understood with traditional continuous models. Here we develop a master equation describing the stochastic dynamics of the probability density function (PDF) of barrier elevation at a point. The dynamics are controlled by two dimensionless numbers relating the average intensity and frequency of high-water events (HWEs) to the maximum dune height and dune formation time, which are in turn a function of the rate of sea level rise, sand availability, and stress of the plant ecosystem anchoring dune formation. Depending on the control parameters, the transient solution converges toward a high-elevation barrier, a low-elevation barrier, or a mixed, bimodal, state. We find the average after-storm recovery time-a relaxation time characterizing barrier's resiliency to storm impacts- changes rapidly with the control parameters, suggesting a tipping point in barrier response to external drivers. We finally derive explicit expressions for the overwash probability and average overwash frequency and transport rate characterizing the landward migration of barriers.

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