Real-time soil and groundwater monitoring via spatial and temporal resolution of biogeochemical potentials

Sale, Tom; Gallo, Sam; Askarani, Kayvan Karimi; Irianni-Renno, Maria; Lyverse, Mark; Hopkins, H.H.; Blotevogel, Jens; Burge, Scott R.

doi:10.1016/j.jhazmat.2020.124403

Cited by 18 publications

(4 citation statements)

References 29 publications

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“…With the rapid emergence of sensor‐based collection of better and cheaper data, this revolution is imminent. Applicability of sensors to high‐resolution monitoring of contaminated sites has been recently demonstrated (Sale et al 2019; Sale et al 2020; Blotevogel et al 2021). This study presents results of the performance of only select forecasting algorithms—more research in this area will be necessary to take advantage of the full potential of advanced statistical and machine learning algorithms.…”

Section: Discussionmentioning

confidence: 99%

Forecasting Groundwater Contaminant Plume Development Using Statistical and Machine Learning Methods

McConnell

Askarani

Cognac

et al. 2022

Groundwater Monitoring Rem

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This column reviews the general features of PHT3D Version 2, a reactive multicomponent transport model that couples the geochemical modeling software PHREEQC-2 (Parkhurst and Appelo 1999) with three-dimensional groundwater flow and transport simulators MODFLOW-2000 and MT3DMS (Zheng and Wang 1999). The original version of PHT3D was developed by Henning Prommer and Version 2 by Henning Prommer and Vincent Post (Prommer and Post 2010). More detailed information about PHT3D is available at the website http://www.pht3d.org.The review was conducted separately by two reviewers. This column is presented in two parts.

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Section: Discussionmentioning

confidence: 99%

Forecasting Groundwater Contaminant Plume Development Using Statistical and Machine Learning Methods

McConnell

Askarani

Cognac

et al. 2022

Groundwater Monitoring Rem

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“…One such example is the use of continuous temperature sensors to measure natural source zone depletion (NSZD) rates and other processes (e.g., Askarani et al., 2018; Kulkarni et al., 2022; Sale et el. et al., 2021; Warren & Bekins, 2015). With respect to recharge, Demand et al.…”

Section: Final Considerationsmentioning

confidence: 99%

Determining groundwater recharge for quantifying PFAS mass discharge from unsaturated source zones

Newell,

Stockwell,

Alanis

et al. 2023

Vadose Zone Journal

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Soil-to-groundwater contaminant mass discharge (M d ) is the authoritative metric defining source strength at sites impacted by per-and polyfluoroalkyl substances (PFAS) and is increasingly being reported. Accurate estimates of groundwater recharge at representative spatial scales, however, is critical to quantitatively estimating M d , which to date has received comparatively little attention relative to PFAS-specific partitioning and retention processes within unsaturated zone source areas despite a plethora of available literature. The objective of this review is to summarize the concept of M d as it applies to PFAS-impacted sites, present standardized terminology, and collate published literature on groundwater recharge for Abbreviations: A, area of vadose zone source; a, fraction of precipitation that is converted to recharge (unitless); AFFF, aqueous film-forming foam; ASTM, Formerly American Society for Testing and Materials; AWI, air-water interfacial adsorption; CFS, chlorofluorocarbons; C gw , concentration of PFAS in groundwater downgradient of a PFAS unsaturated zone source area (mass per volume); C L , concentration of PFAS in porewater in the unsaturated source zone; C P , porewater concentration; C sw , maximum concentration of the contaminant from a groundwater supply well if the plume is fully captured by the well (mass per volume); C uz , concentration of chloride in unsaturated zone; d, mixing zone depth (length); d a , aquifer thickness (length); DAF, dilution-attenuation factor; DEP,

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“…Recently, we have established the benefit of continuous multi‐level real‐time ORP monitoring in both saturated and unsaturated media at petroleum release sites undergoing natural source zone depletion (Sale et al 2021). While our previous work was aimed at resolving natural processes in support of long‐term groundwater monitoring, here we demonstrate the utility of high‐resolution temporal ORP measurements for remediation performance monitoring at a site where pulsed biosparging is used to enhance the aerobic biodegradation of substituted aromatic compounds.…”

Section: Figurementioning

confidence: 99%

Real‐Time Remediation Performance Monitoring with ORP Sensors

Blotevogel¹,

Askarani²,

Hanson³

et al. 2021

Groundwater Monitoring Rem

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Real-time soil and groundwater monitoring via spatial and temporal resolution of biogeochemical potentials

Cited by 18 publications

References 29 publications

Forecasting Groundwater Contaminant Plume Development Using Statistical and Machine Learning Methods

Forecasting Groundwater Contaminant Plume Development Using Statistical and Machine Learning Methods

Determining groundwater recharge for quantifying PFAS mass discharge from unsaturated source zones

Real‐Time Remediation Performance Monitoring with ORP Sensors

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