Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-06-08 DOI:10.1016/j.envsoft.2024.106098
Luis Cea , Orlando García-Feal , Guillaume Nord , Guillaume Piton , Cédric Legoût
{"title":"Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber","authors":"Luis Cea ,&nbsp;Orlando García-Feal ,&nbsp;Guillaume Nord ,&nbsp;Guillaume Piton ,&nbsp;Cédric Legoût","doi":"10.1016/j.envsoft.2024.106098","DOIUrl":null,"url":null,"abstract":"<div><p>We present the implementation of a new fully distributed multiclass soil erosion module. The model is based on a 2D finite volume solver (Iber+) for the 2D shallow water equations that computes the overland flow water depths and velocities. From these, the model evaluates the transport of sediment particles due to bed load and suspended load, including rainfall-driven and runoff-driven erosion processes, and using well-established physically-based formulations. The evolution of the mass of sediment particles in the soil layer is computed from a mass conservation equation for each sediment class. The solver is implemented using High Performance Computing techniques that take advantage of the computational capabilities of standard Graphical Processing Units, achieving speed-ups of two orders of magnitude relative to a sequential implementation on the CPU. We show the application and validation of the model at different spatial scales, ranging from laboratory experiments to meso-scale catchments.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224001592/pdfft?md5=9a4c81ebf7342db73ac298d495e8cdc9&pid=1-s2.0-S1364815224001592-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815224001592","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

We present the implementation of a new fully distributed multiclass soil erosion module. The model is based on a 2D finite volume solver (Iber+) for the 2D shallow water equations that computes the overland flow water depths and velocities. From these, the model evaluates the transport of sediment particles due to bed load and suspended load, including rainfall-driven and runoff-driven erosion processes, and using well-established physically-based formulations. The evolution of the mass of sediment particles in the soil layer is computed from a mass conservation equation for each sediment class. The solver is implemented using High Performance Computing techniques that take advantage of the computational capabilities of standard Graphical Processing Units, achieving speed-ups of two orders of magnitude relative to a sequential implementation on the CPU. We show the application and validation of the model at different spatial scales, ranging from laboratory experiments to meso-scale catchments.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在 Iber 软件中实施基于二维浅水方程的 GPU 增强型多级土壤侵蚀模型
我们介绍了一个新的全分布式多级土壤侵蚀模块的实施情况。该模型基于二维浅水方程的二维有限体积求解器(Iber+),可计算陆上流水深度和流速。在此基础上,该模型利用成熟的物理公式,评估了床面负荷和悬浮负荷导致的沉积物颗粒迁移,包括降雨驱动和径流驱动的侵蚀过程。土壤层中沉积物颗粒质量的变化是根据每类沉积物的质量守恒方程计算得出的。该求解器采用高性能计算技术实现,充分利用了标准图形处理单元的计算能力,与 CPU 上的顺序实现相比,速度提高了两个数量级。我们展示了该模型在从实验室实验到中尺度流域等不同空间尺度上的应用和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
A coordination attention residual U-Net model for enhanced short and mid-term sea surface temperature prediction An R package to partition observation data used for model development and evaluation to achieve model generalizability Dynamics of real-time forecasting failure and recovery due to data gaps: A study using EnKF-based assimilation with the Lorenz model Identification of pedestrian submerged parts in urban flooding based on images and deep learning A conceptual data modeling framework with four levels of abstraction for environmental information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1