通过使用可解释的机器学习模型,改进了波浪在斜坡突破口上的波浪覆盖的预测公式
M A Habib1, S Abolfathi2, J J O'Sullivan1
1UCD Dooge Centre for Water Resources Research, UCD School of Civil Engineering, and UCD Earth Institute, University College Dublin, Dublin, Ireland.
PloS one
|December 10, 2025
概括
机器学习准确地预测了海岸防御的波浪超标放电. 高斯过程回归是最好的,新的公式简化了使用Freeboard Deficit的设计.
科学领域:
- 沿海工程 沿海工程
- 机器学习应用 机器学习应用
- 液压建模 液压建模
背景情况:
- 准确预测平均波超标排放对于设计安全和成本有效的沿海防御结构至关重要.
- 传统模型很重要,但机器学习 (ML) 为增强预测能力提供了强大的互补方法.
研究的目的:
- 开发和评估基于ML的框架,用于预测斜坡断水器中平均波浪超标排放.
- 专注于实际工程应用的预测准确性和模型解释性.
- 为了提高可用性,将ML发现转化为简化的数学表达式.
主要方法:
- 评估了五种ML算法:随机森林 (RF),梯度增强决策树 (GBDT),人工神经网络 (ANN),支持向量回归 (SVR) 和高斯过程回归 (GPR).
- 经过训练和验证的模型使用EurOtop (2018) 数据集用于斜坡分水.
- 采用多项式回归和遗传编程 (GP) 来推导简化的预测公式.
主要成果:
- 高斯过程回归 (GPR) 显示出最好的预测性能,R2为0.80,误差指标最低.
- 相对自由板和自由板缺陷 (FD) 被确定为所有评估的ML模型中最有影响力的参数.
- 开发了新的简化公式,仅基于自由船赤字 (FD) 来估计平均超标排放 (q).
结论:
- ML框架,特别是GPR,提供了准确的预测平均波超标放电.
- 由此产生的简化公式为沿海工程师提供了一个快速,可解释和可靠的设计和决策工具.
- 这项研究促进了ML在沿海基础设施设计中的整合,促进了适应性和气候弹性防御系统.
相关概念视频
01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
641
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
641
01:30Typical Model Studies
603
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
603
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
269
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
269
01:12Modeling and Similitude
574
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
574
01:20Method of Superposition
1.7K
The method of superposition is a crucial technique in structural engineering, used to analyze the effect of multiple loads on beams. This approach involves calculating the deflection and slope for each load on a beam separately, and then summing these effects to determine the overall impact. It is applicable only when the beam material remains within its elastic limit, ensuring that deformations are linearly elastic.
When applying the method of superposition, each type of load—whether...
When applying the method of superposition, each type of load—whether...
1.7K
01:24Rapidly Varying Flow
402
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
402