Quantifying aquifer heterogeneity using superparamagnetic DNA particles

IF 3.5 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Swagatam Chakraborty , Fuad Alqrinawi , Jan Willem Foppen , Jack Schijven
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引用次数: 0

Abstract

Identifying and determining hydraulic parameters of physically heterogeneous aquifers is pivotal for flow field analysis, contaminant migration and risk assessment. In this research, we applied a novel uniquely sequenced DNA tagged superparamagnetic silica microparticles (SiDNAmag) to quantify hydraulic parameters and associated uncertainties of a heterogeneous sand tank. In the sand tank with lens shaped heterogeneity, we conducted three sets of multi – point injection experiments in unconsolidated (1) homogeneous (zone 0), (2) heterogeneous with a no-conductivity-zone (zone 1), and (3) heterogeneous with a high-conductive-zone (zone 2). From the breakthrough curves (BTC), we estimated the parameters distributions of hydraulic conductivity (k), effective porosity (ne), longitudinal dispersivity (αL), transverse vertical (αTV), and transverse horizontal dispersivities (αTH) applying Monte Carlo simulation approach for BTC fitting. The estimated parameters and associated uncertainties for each of the heterogeneous sections were further statistically compared (distribution non-specific Mann Whitney U test) these parameter distributions with parameter distributions estimated from the conservative salt tracer. While the time of arrival and time to peak concentration of SiDNAmag and salt in effluent were comparable, peak concentration of SiDNAmag was 1–3 log reduced as compared to the salt tracer due to first order kinetic attachment. Nonetheless, the parameters and associated uncertainty distributions (5 %–95 %) of K, ne, αL, αTV, and αTH, determined from SiDNAmag BTCs were statistically equivalent to the salt tracer in all three experiment systems. Through our experimental and modelling approach, our work demonstrated that in a coarse to very coarse grain sand medium, with lens shaped heterogeneity, the uniquely sequenced SiDNAmag were a promising tool to identify heterogeneity and determine hydraulic parameters and associated uncertainty distributions.
利用超顺磁性 DNA 粒子量化含水层的异质性。
识别和确定物理异质含水层的水力参数对于流场分析、污染物迁移和风险评估至关重要。在这项研究中,我们采用了一种新颖的独特测序 DNA 标记超顺磁性硅微颗粒(SiDNAmag)来量化异质砂槽的水力参数和相关的不确定性。在具有透镜状异质性的砂槽中,我们在未固结(1)均质区(0 区)、(2)无导电区异质性区(1 区)和(3)高导电区异质性区(2 区)中进行了三组多点注入实验。根据突破曲线(BTC),我们采用蒙特卡洛模拟法对导水率(k)、有效孔隙度(ne)、纵向分散度(αL)、横向垂直分散度(αTV)和横向水平分散度(αTH)的参数分布进行了估算。将每个异质截面的估计参数和相关不确定性与根据保守盐示踪剂估计的参数分布进行了进一步的统计比较(分布非特异性曼-惠特尼 U 检验)。虽然 SiDNAmag 和盐在污水中的到达时间和达到峰值浓度的时间相当,但由于一阶动力学附着,SiDNAmag 的峰值浓度比盐示踪剂低 1-3 个对数。尽管如此,在所有三个实验系统中,根据 SiDNAmag BTC 确定的 K、ne、αL、αTV 和 αTH 参数及相关不确定性分布(5 %-95 %)在统计学上与盐示踪剂相当。通过我们的实验和建模方法,我们的工作表明,在具有透镜状异质性的粗粒至极粗粒砂介质中,唯一测序的 SiDNAmag 是识别异质性和确定水力参数及相关不确定性分布的有效工具。
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来源期刊
Journal of contaminant hydrology
Journal of contaminant hydrology 环境科学-地球科学综合
CiteScore
6.80
自引率
2.80%
发文量
129
审稿时长
68 days
期刊介绍: The Journal of Contaminant Hydrology is an international journal publishing scientific articles pertaining to the contamination of subsurface water resources. Emphasis is placed on investigations of the physical, chemical, and biological processes influencing the behavior and fate of organic and inorganic contaminants in the unsaturated (vadose) and saturated (groundwater) zones, as well as at groundwater-surface water interfaces. The ecological impacts of contaminants transported both from and to aquifers are of interest. Articles on contamination of surface water only, without a link to groundwater, are out of the scope. Broad latitude is allowed in identifying contaminants of interest, and include legacy and emerging pollutants, nutrients, nanoparticles, pathogenic microorganisms (e.g., bacteria, viruses, protozoa), microplastics, and various constituents associated with energy production (e.g., methane, carbon dioxide, hydrogen sulfide). The journal''s scope embraces a wide range of topics including: experimental investigations of contaminant sorption, diffusion, transformation, volatilization and transport in the surface and subsurface; characterization of soil and aquifer properties only as they influence contaminant behavior; development and testing of mathematical models of contaminant behaviour; innovative techniques for restoration of contaminated sites; development of new tools or techniques for monitoring the extent of soil and groundwater contamination; transformation of contaminants in the hyporheic zone; effects of contaminants traversing the hyporheic zone on surface water and groundwater ecosystems; subsurface carbon sequestration and/or turnover; and migration of fluids associated with energy production into groundwater.
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