Modeling the Transport Behavior of Zinc Oxide Nanoparticles in Soil Under Various Environmental Conditions

被引：0
作者：
N. Seetha
Trishikhi Dibyanshu
机构：
[1] Indian Institute of Technology Hyderabad,Department of Civil Engineering
[2] Technical University Bergakademie Freiberg,Institute of Geology, Department for Hydrogeology and Hydrochemistry
[3] Indian Institute of Technology Jodhpur,Department of Civil and Environmental Engineering
来源：
Water, Air, & Soil Pollution | 2024年 / 235卷
关键词：
Emerging contaminants; Groundwater; Modeling; Transport mechanism; Nanoparticle; Risk assessment;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Transport behavior of zinc oxide nanoparticles (nZnO) has been investigated widely; however, not many studies have identified the transport mechanisms through mathematical modeling by simulating both breakthrough curve (BTC) and retention profile (RP) under varying environmental conditions. Thus, this study focuses on investigating the transport behavior of nZnO in the subsurface under a wide range of environmental conditions through mathematical modeling. A mathematical model is developed to simulate nZnO transport in porous media and the values of the associated parameters are estimated by fitting the model to the experimental data under a broad range of physicochemical conditions reported in the literature. The model performance is assessed by evaluating its ability to simulate both the nZnO BTC and RP, and it demonstrates promising performance. It is found that nZnO retention in the soil is mainly governed by reversible deposition on grain surfaces and straining. Moreover, nZnO transport through coarse-grained soil at high velocity and low ionic strength (IS) in the presence of a dissolved form of natural organic matter (NOM) may lead to an increased risk of groundwater contamination. The nZnO transport behavior can be simulated better by incorporating size-dependent dispersivity in the developed model.
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  • [1] Babakhani P(2019)The impact of nanoparticle aggregation on their size exclusion during transport in porous media: One-and three-dimensional modelling investigations Scientific Reports 9 14071-4465
  • [2] Banerjee S(2023)Prediction of transport behavior of nanoparticles using machine learning algorithm: Physical significance of important features Journal of Contaminant Hydrology 258 4458-2250
  • [3] Bhavna K(2012)Aggregation kinetics and transport of single-walled carbon nanotubes at low surfactant concentrations Environmental Science and Technology 46 2242-117
  • [4] Raychoudhury T(2003)Modeling colloid attachment, straining, and exclusion in saturated porous media Environmental Science and Technology 37 99-112
  • [5] Bouchard D(2006)Concentration dependent transport of colloids in saturated porous media Journal of Contaminant Hydrology 82 102-5402
  • [6] Zhang W(2015)Transport and deposition of stabilized engineered silver nanoparticles in water saturated loamy sand and silty loam Science of the Total Environment 535 5393-95
  • [7] Powell T(2011)Transport and retention of TiO Langmuir 27 91-4683
  • [8] Rattanaudompol US(2010) rutile nanoparticles in saturated porous media under low-ionic-strength conditions: Measurements and mechanisms Colloids and Surfaces A: Physicochemical & Engineering Aspects 368 4668-310
  • [9] Bradford SA(2015)Container to characterization: Impacts of metal oxide handling, preparation, and solution chemistry on particle stability Water Resources Research 51 279-12
  • [10] Simunek J(2006)Colloid particle size-dependent dispersivity Heat Mass Transfer 42 103103-333
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