Co-transport of arsenic and micro/nano-plastics in saturated soil

吸附 环境化学 化学 色散(光学) 环境修复 污染 化学工程 有机化学 生态学 物理 光学 生物 工程类
作者
Xiaoxiao Hao,HongGuang Sun,Yong Zhang,Shiyin Li,Zhongbo Yu
出处
期刊:Environmental Research [Elsevier BV]
卷期号:228: 115871-115871 被引量:11
标识
DOI:10.1016/j.envres.2023.115871
摘要

Contaminants can co-exist and migrate together in the environment, causing complex (and sometimes unexpected) transport dynamics which challenge the efficient remediation of individual contaminants. The co-transport dynamics, however, remained obscure for some contaminants, such as arsenic and micro/nano-plastics (MNPs). To fill this knowledge gap, this study explored the co-transport dynamics of arsenic and MNP particles in saturated soil by combining laboratory experiments and stochastic model analysis. Isothermal adsorption and sand column transport experiments showed that the adsorption of arsenic by MNP particles followed the Freundlich model, with a maximum adsorption of 2.425 mg/g for the MNP particles with a diameter of 100 nm. In the presence of MNP particles, the efflux concentration of arsenic ions declined due to adsorption, where the decline rate decreased with the increasing MNP size and increased with the increasing adsorption capacity. Experimental results also showed that the 100 nm nano-plastic particles prohibited arsenic transport in saturated sand columns, while the 5 μm microplastics enhanced arsenic transport due to electrostatic adsorption and media pore plugging. A tempered time fractional advective-dispersion equation was then proposed to quantify the observed breakthrough curves of arsenic. The results showed that this model can reliably capture the co-transport behavior of arsenic with MNPs in the saturated soil with all coefficients of determination over 0.97, and particularly, the small MNP particles facilitated anomalous transport of arsenic. This study therefore improved the understanding and quantification of the co-transport of arsenic and MNPs in soil.
最长约 10秒,即可获得该文献文件

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
刚刚
csm发布了新的文献求助10
1秒前
yehuitao发布了新的文献求助10
1秒前
poleny完成签到,获得积分20
2秒前
好旺完成签到,获得积分10
2秒前
不喝可乐完成签到,获得积分10
3秒前
lj发布了新的文献求助10
3秒前
Mxmmmmmm发布了新的文献求助10
4秒前
4秒前
斯文的子默完成签到,获得积分10
5秒前
笨笨娇完成签到 ,获得积分10
5秒前
舆上帝同行完成签到,获得积分10
6秒前
lulu完成签到,获得积分10
6秒前
来日昭昭应助diupapa采纳,获得10
6秒前
6秒前
7秒前
7秒前
平常的毛豆应助不喝可乐采纳,获得10
8秒前
8秒前
maodoudou发布了新的文献求助20
8秒前
8秒前
8秒前
8秒前
FashionBoy应助笨笨醉薇采纳,获得10
9秒前
科研通AI5应助大鹏采纳,获得30
9秒前
星睿发布了新的文献求助10
9秒前
靓丽采枫完成签到,获得积分10
9秒前
典雅问寒应助ohno耶耶耶采纳,获得10
9秒前
彭于晏应助csm采纳,获得10
9秒前
10秒前
10秒前
大个应助gattsuo888采纳,获得10
11秒前
11秒前
上官若男应助ewmmel采纳,获得10
12秒前
12秒前
12秒前
欢喜可愁发布了新的文献求助10
12秒前
乔123发布了新的文献求助10
12秒前
12秒前
靓丽采枫发布了新的文献求助10
13秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3842080
求助须知:如何正确求助?哪些是违规求助? 3384261
关于积分的说明 10533503
捐赠科研通 3104566
什么是DOI,文献DOI怎么找? 1709737
邀请新用户注册赠送积分活动 823319
科研通“疑难数据库(出版商)”最低求助积分说明 773970