AeoLiS:为实际应用建立沿海沙丘和风化地貌发展的数值模型

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-06-05 DOI:10.1016/j.envsoft.2024.106093
Bart van Westen , Sierd de Vries , Nicholas Cohn , Christa van IJzendoorn , Glenn Strypsteen , Caroline Hallin
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引用次数: 0

摘要

沿岸沙丘的形成和演变是生态-形态动力学过程复杂相互作用的结果。最先进的模型可以模拟某些条件下的风化搬运和沙丘形态演变。然而,目前还没有一种将这些过程结合起来应用于海岸工程的模式。本研究旨在开发一种沙丘发育的预测工具,为海岸管理决策和干预措施提供依据。对风化沉积物输运模式 AeoLiS 进行了扩展,增加了模拟沿岸地貌的功能。新增功能包括地形转向对风切变的影响、陡坡崩塌以及植被生长和风切变减弱过程。该模型通过模拟四种不同的海岸地貌进行了验证:巴钦沙丘、抛物线沙丘、胚胎沙丘和井喷沙丘。模拟以现实条件为基础,再现了地貌的形成、迁移率和季节变化。
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AeoLiS: Numerical modelling of coastal dunes and aeolian landform development for real-world applications

The formation and evolution of coastal dunes result from a complex interplay of eco-morphodynamic processes. State-of-the-art models can simulate aeolian transports and morphological dune evolution under certain conditions. However, a model combining these processes for coastal engineering applications was not yet available. This study aims to develop a predictive tool for dune development to inform coastal management decisions and interventions. The aeolian sediment transport model AeoLiS is extended with functionalities that allow for simulations of coastal landforms. The added functionalities include the effect of topographic steering on wind shear, avalanching of steep slopes and vegetation processes in the form of growth and wind shear reduction. The model is validated by simulating four distinct coastal landforms; barchan-, parabolic-, embryo dunes and blowouts. Simulations, based on real-world conditions, replicate the landform formation, migration rates and seasonal variability.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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