Improving the Prediction of Scour Depth Downstream of the Flip Bucket with Machine Learning Techniques

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-05-05 DOI:10.1680/jwama.20.00089

Mohammad Rashki Ghaleh Nou, M. Azhdary Moghaddam

引用次数: 1

Abstract

One of the most common structures used for energy dissipation is flip buckets. The jet passing through these spillways, after being thrown into the air and hitting the downstream bed, still has high energy causing scour downstream of the spillway. Therefore, accurate estimation of the scour depth is important to the proper design of the main and related structures. In recent years, the use of computational intelligence has been widely used to estimate the scour depth accurately. In this research, the maximum scour depth was estimated using three techniques of Gradient Boosting Decision Tree (GBDT), Extra Trees, and Random Forest (RF) and compared with the previous results. The results indicate that the GBDT method with R2=0.992, RMSE=0.231, and MAE=0.180 has the highest accuracy and lowest error.

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用机器学习技术改进翻斗下游冲刷深度预测

最常用的耗能结构之一是翻转桶。穿过这些溢洪道的射流，在被抛向空中击中下游河床后，仍然具有高能量，对溢洪道下游产生冲刷作用。因此，准确估计冲刷深度对合理设计主体及相关结构具有重要意义。近年来，利用计算智能来准确估计冲刷深度已被广泛应用。在本研究中，使用梯度增强决策树(GBDT)、额外树(Extra Trees)和随机森林(Random Forest)三种技术估计了最大冲刷深度，并与前人的结果进行了比较。结果表明，GBDT法准确度最高，误差最小，R2=0.992, RMSE=0.231, MAE=0.180。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.