基于遗传编程和物理原理的沙丘几何形状混合预测器

IF 3.1 2区地球科学 Q2 GEOGRAPHY, PHYSICAL

Geomorphology Pub Date : 2024-11-12 DOI:10.1016/j.geomorph.2024.109495

Arnaud Doré , Giovanni Coco

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引用次数: 0

摘要

许多自然环境中都存在水下沙丘，这给实际操作带来了巨大挑战。然而，文献中的经典沙丘预测方法无法预测沙丘的平衡尺寸。在这项研究中，我们首先研究了使用遗传编程法推导沙丘波长和高度预测方程的潜力。预测结果优于现有的关系，但由于沙丘演变的物理学原理错综复杂，预测方程仍然很复杂。我们进行了全局敏感性分析，以评估 GP 预测方程中最具影响力的参数。最后，我们提出了一套基于基本环境参数的沙丘平衡高度和波长的稳健预测方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A hybrid, genetic programming and physically-based predictor of dune geometry

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A hybrid, genetic programming and physically-based predictor of dune geometry

Subaqueous sand dunes are found in many natural environments and pose significant operational challenges. However, classic dune predictors found in the literature fail at predicting equilibrium dune dimensions. In this study, we first investigated the potential of using genetic programming to derive predictive equations of dune wavelength and height. The predictors outperformed existing relationships, yet the equations remain complex due to the intricate physics governing dune evolution. We carried out a global sensitivity analysis to evaluate the most influential parameters of the GP predictors. Finally, we proposed a set of robust predictors, for equilibrium dune heights and wavelengths, relying on basic environmental parameters.

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来源期刊

Geomorphology 地学-地球科学综合

CiteScore

8.00

自引率

10.30%

发文量

309

审稿时长

3.4 months

期刊介绍： Our journal''s scope includes geomorphic themes of: tectonics and regional structure; glacial processes and landforms; fluvial sequences, Quaternary environmental change and dating; fluvial processes and landforms; mass movement, slopes and periglacial processes; hillslopes and soil erosion; weathering, karst and soils; aeolian processes and landforms, coastal dunes and arid environments; coastal and marine processes, estuaries and lakes; modelling, theoretical and quantitative geomorphology; DEM, GIS and remote sensing methods and applications; hazards, applied and planetary geomorphology; and volcanics.