Modeling solute transport in rivers: Analytical and numerical solutions

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mohamed Bey-Zekkoub, Pablo Tassi, Carine Lucas, Norinda Chhim
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引用次数: 0

Abstract

This study presents a novel analytical framework for modeling one-dimensional solute transport in rivers, integrating advection, rate-limited adsorption on suspended sediments, and first-order degradation. Analytical solutions are used to validate the numerical scheme’s accuracy under idealized conditions, tested for instantaneous and continuous pollutant discharges. The research importantly investigates short-term solute accumulation in riverbeds, a critical yet understudied process that affects sediment transport and pollutant fate. Applicable to a wide range of contaminants (e.g., nutrients, pesticides), the framework aids water quality assessment, pollution control, and risk mitigation. Implemented in the open-source SWASHES library, these solutions provide practical tools for decision-support systems and serve as reliable benchmarks to validate numerical models. By addressing transient and persistent pollutant scenarios, this work enhances predictive capabilities for environmental management. The approach bridges analytical and numerical methods, offering a robust foundation for simulating solute transport across industrial and ecological contexts, advancing sustainable water resource management.
河流中溶质运移的模拟:解析和数值解
该研究提出了一个新的分析框架,用于模拟河流中一维溶质运输,整合平流,悬浮沉积物上的限速吸附和一级降解。用解析解验证了数值方案在理想条件下的准确性,并对瞬时和连续污染物排放进行了测试。该研究重点研究了河床中短期溶质积累,这是一个影响沉积物运输和污染物命运的关键但尚未得到充分研究的过程。该框架适用于广泛的污染物(如营养物、农药),有助于水质评估、污染控制和风险缓解。这些解决方案在开源SWASHES库中实现,为决策支持系统提供实用工具,并作为验证数值模型的可靠基准。通过处理瞬时和持久性污染物情景,本工作增强了环境管理的预测能力。该方法结合了分析和数值方法,为模拟工业和生态环境下的溶质运输提供了坚实的基础,促进了可持续水资源管理。
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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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