Cellular automaton modelling of the effects of buildings on aeolian bedform dynamics

Poppema, Daan Willem; Baas, Andreas; Hulscher, Suzanne J.M.H.; Wijnberg, Kathelijne Mariken

doi:10.1016/j.aeolia.2022.100840

Cited by 8 publications

(5 citation statements)

References 61 publications

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“…Rozier 2013]. While early methods only consider sand dunes [Narteau et al 2009;Werner 1995], recent works propose additional rules to model the effect of simple obstacles [Poppema, Baas, et al 2022], or adapt the rules to model snow transport [Kochanski et al 2019]. Since these methods model the impact of obstacles on wind and sand transport using a phenomenological point of view, each new effect requires developing dedicated rules.…”

Section: Related Workmentioning

confidence: 99%

Windblown sand around obstacles - simulation and validation of deposition patterns

Rosset,

Duvigneau,

Bousseau

et al. 2024

Proc. ACM Comput. Graph. Interact. Tech.

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Sand dunes are iconic landmarks of deserts, but can also put human infrastructures at risk, for instance by forming near buildings or roads. We present a simulator of sand erosion and deposition to predict how dunes form around and behind obstacles under wind. Inspired by both computer graphics and geo-sciences, our algorithm couples a fast wind flow simulation with physical laws of sand saltation and avalanching, which suffices to reproduce characteristic patterns of sand deposition. In particular, we validate our approach via a qualitative comparison of the erosion and deposition patterns produced by our simulator against real-world patterns measured by prior work under controlled conditions.

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Section: Related Workmentioning

confidence: 99%

Windblown sand around obstacles - simulation and validation of deposition patterns

Rosset,

Duvigneau,

Bousseau

et al. 2024

Proc. ACM Comput. Graph. Interact. Tech.

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“…The model considers the stochastic nature of the aeolian transport and wave erosion/accretion mechanisms, as well as the emergence of new vegetation in the beach-dune system and the limiting effect of groundwater on aeolian transport [24]. For recent usage, the original CA model presented in Werner [22] was adapted in Poppema et al [48] to study the influence of buildings in aeolian transport, and the results were compared with field experiments. Different scenarios of buildings were tested, with different dimensions and groups of buildings.…”

Section: Numerical Modelsmentioning

confidence: 99%

Review of the Quantification of Aeolian Sediment Transport in Coastal Areas

Husemann,

Romão,

Lima

et al. 2024

JMSE

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Coastal dunes, formed and shaped by aeolian sediment transport, play a crucial role in ecosystem services and act as natural flood and coastal erosion defenses. This paper delves into theoretical equations and numerical models predicting sediment transport. Numerical models like cellular automata, XBeach-DUNA, the coastal dune model, and others are analyzed for their ability to simulate dune morphology, erosion processes, and vegetation impacts accurately. Evaluated are field observation and measurement techniques, such as sand traps, impact sensors, and optical sensors, for their precision in quantifying aeolian dynamics. Further examined is the effectiveness of vegetation and fencing in dune stabilization, noting species-specific responses and the influence of fence design on sediment accumulation. These tools offer insights into optimizing aeolian sediment management for coastal protection. By conducting a systematic review and connecting theoretical, empirical, and modeling findings, this study highlights the complex challenge of measuring and managing aeolian sediment transport and proposes integrated strategies for enhancing coastal dune resilience against the backdrop of climate change and erosion. This study’s objectives to bridge gaps in current understanding are met, highlighting the need for a multidisciplinary approach to coastal dune management and conservation, especially combining wind- and wave-driven processes.

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“…The DuBeVeg model has been used successfully to study the effects of sea-level rise on dune evolution [46], the effects of beach width on dune morphology [47], and the effects of groundwater levels on dune morphology [48]. The DuBeVeg model was also used to study the effects of buildings on the development of aeolian bedforms at the beach [49].…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing Aeolian Sediment Transport in a Cellular Automata Model to Simulate the Bio-Geomorphological Evolution of Beach–Dune Systems

Teixeira

Horstman

Wijnberg

2023

JMSE

Self Cite

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Understanding the dynamics of beach–dune systems is crucial for effective coastal management. The cellular automata model DuBeVeg provides a powerful tool for simulating and understanding the bio-geomorphological evolution of these systems, capturing key interactions of aeolian, hydro-, and vegetation dynamics in a simplified manner. In this study, we present an alternative representation of the aeolian transport component in DuBeVeg, aiming to better capture the saltation transport mode that prevails on beaches. This new representation is compared with the original aeolian transport representation in DuBeVeg, which is inspired by ripple migration. For three beach width scenarios, we considered the effects of the different aeolian transport representations on the predicted foredune morphology after 50 years, as well as the spatio-temporal evolution of the beach–dune system leading to that morphologic state. The saltation transport representation resulted in a more realistic simulation of the seaward expansion of the foredune compared with the original representation, particularly in scenarios with wide and prograding beaches. The new representation also more accurately captured the amplitude of aeolian bedforms emerging across the beach. These findings highlight the importance of selecting the representative transport mode when simulating the transient bio-geomorphological evolution of beach–dune systems.

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Cellular automaton modelling of the effects of buildings on aeolian bedform dynamics

Cited by 8 publications

References 61 publications

Windblown sand around obstacles - simulation and validation of deposition patterns

Windblown sand around obstacles - simulation and validation of deposition patterns

Review of the Quantification of Aeolian Sediment Transport in Coastal Areas

Conceptualizing Aeolian Sediment Transport in a Cellular Automata Model to Simulate the Bio-Geomorphological Evolution of Beach–Dune Systems

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