Integrated numerical modeling to quantify transport and fate of microplastics in the hyporheic zone

低流变区 水槽 渗透(HVAC) 环境科学 平流 河流 水文学(农业) 复制 泥沙输移 微塑料 粒子(生态学) 河床 土壤科学 地质学 岩土工程 地表水 流量(数学) 地貌学 机械 沉积物 环境工程 气象学 海洋学 物理 统计 数学 构造盆地 热力学
作者
Franz Dichgans,Jan‐Pascal Boos,Pouyan Ahmadi,Sven Frei,Jan H. Fleckenstein
出处
期刊:Water Research [Elsevier BV]
卷期号:243: 120349-120349 被引量:15
标识
DOI:10.1016/j.watres.2023.120349
摘要

Despite the significance of rivers and streams as pathways for microplastics (MP) entering the marine environment, limited research has been conducted on the behavior of MP within fluvial systems. Specifically, there is a lack of understanding regarding the infiltration and transport dynamics of MP across the streambed interface and within the hyporheic sediments. In this study, transport and retention of MP are investigated using a new numerical modeling approach. The model is built as a digital twin of accompanying flume experiments, which are used to validate the simulation results. The model accurately represents particle transport in turbulent water flow and within the hyporheic zone (HZ). Simulations for transport and infiltration of 1 µm MP particles into a sandy streambed demonstrate that the advection-dispersion equation can be used to adequately represent particle transport for pore-scale sized MP within the HZ. To assess the applicability of the modeling framework for larger MP, the experiment was repeated using 10 µm particles. The larger particles exhibited delayed infiltration and transport behavior, and while the model successfully represented the spatial extent of particle transport through the HZ, it was unable to fully replicate hyporheic transit times. This study is the first to combine explicit validation against experimental data, encompassing qualitative observations of MP concentration patterns and quantification of fluxes. By that, it significantly contributes to our understanding of MP transport processes in fluvial systems. The study also highlights the advantages and limitations of employing a fully integrated modeling approach to investigate the transport and retention behavior of MP in rivers and streams.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
JamesPei应助潮湿小兰花采纳,获得10
1秒前
咩咩完成签到 ,获得积分10
2秒前
雨上悲发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
展希希发布了新的文献求助10
5秒前
研友_VZG7GZ应助hyscoll采纳,获得10
5秒前
搜集达人应助bababoi采纳,获得10
5秒前
宗忻完成签到,获得积分10
7秒前
8秒前
yyqx发布了新的文献求助10
9秒前
完美世界应助RC_Wang采纳,获得10
9秒前
forge发布了新的文献求助10
9秒前
李琦发布了新的文献求助10
9秒前
10秒前
大宸应助鲤黎黎采纳,获得10
10秒前
Zr完成签到,获得积分10
13秒前
茶泡饭发布了新的文献求助30
13秒前
尹尹尹发布了新的文献求助10
13秒前
mascot0111完成签到,获得积分10
13秒前
亦然完成签到,获得积分10
14秒前
力量发布了新的文献求助10
15秒前
YZzzJ完成签到,获得积分20
17秒前
17秒前
bkagyin应助嘻嘻哈哈采纳,获得40
17秒前
背后艳应助嘻嘻哈哈采纳,获得30
17秒前
背后艳应助嘻嘻哈哈采纳,获得40
18秒前
mengwenkun完成签到,获得积分10
18秒前
SciGPT应助科研通管家采纳,获得10
18秒前
丘比特应助科研通管家采纳,获得10
18秒前
科研girl应助科研通管家采纳,获得10
18秒前
18秒前
18秒前
18秒前
小蘑菇应助科研通管家采纳,获得10
18秒前
20秒前
深情安青应助力量采纳,获得10
20秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6365394
求助须知:如何正确求助?哪些是违规求助? 8179324
关于积分的说明 17241158
捐赠科研通 5420478
什么是DOI,文献DOI怎么找? 2867976
邀请新用户注册赠送积分活动 1845142
关于科研通互助平台的介绍 1692604