Strategies and Decision-Support Tools for Optimizing Long-Term Groundwater Monitoring Plans—MAROS 2.0

Ling, Meng; Rifai, Hanadi S.; Aziz, J. J.; Newell, Charles J.; Gonzales, James; Santillan, Javier

doi:10.1080/10889860490887491

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Metals (Okumus et al 2015;Dutta et al 2017;Aka and Babalola 2017), and hydrocarbons (Mutharasaiah et al 2011;Yao et al 2014;Suarez and Rifai 1999) have received much attention from Journal authors, as have agricultural practices and waste products (Ramarajan and Manohar 2017), manufacturing wastes (Khan et al 2014), and the abundance and biodegrading potential of marine organisms (Khosrowabadi and Huyop 2013). Models of various environmental mechanisms and processes were developed by a number of authors over the years (Farhan and Hatzinger 2009;Vaezihir et al 2012;Das Saha 2012;Tripathi and Kumar Garg 2014;Ling et al 2004) and others addressed solid wastes and their degradability using microorganisms (Garg and Gupta 2011). The depth and breadth of topics related to the SDGs listed above that have been studied by Journal authors since 1997 is very extensive and indicative of a keen interest in sustainability using biotechnology.…”

Section: What a Difference One Year Makes!mentioning

confidence: 99%

The sustainable development goals in a bioremediation journal context: what a difference a year makes in a post COVID-19 world!

Rifai¹

2020

Bioremediation Journal

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Section: What a Difference One Year Makes!mentioning

confidence: 99%

The sustainable development goals in a bioremediation journal context: what a difference a year makes in a post COVID-19 world!

Rifai¹

2020

Bioremediation Journal

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“…Plume-scale changes in the spatial and temporal distribution of 1,4-dioxane within the Eastern Area were further investigated using spatial moment analysis (Freyberg 1986). The Monitoring and Remediation Optimization System (MAROS 3.0) decision support software (Ling et al 2004; GSI Environmental 2012) was utilized to determine changes in the zeroth, first, and second spatial moments from available monitoring well data. The zeroth spatial moment represents an integrated measure of the total dissolved contaminant mass.…”

Section: Spatial Momentsmentioning

confidence: 99%

“…The second moment can be used to infer an expanding, stable, or shrinking plume. MAROS output also includes Mann-Kendall trend analysis to provide plume stability information (Ling et al 2004).…”

Section: Spatial Momentsmentioning

confidence: 99%

“…These estimates scale directly with the average aquifer thickness input parameter, however, and thus could be adjusted. Mass estimates from zeroth spatial moments interpolated using Delaunay triangles (Ling et al 2004) are arguably more objective than their map-based counterparts. For this study, however, they are considered less robust because they depend on the spatial distribution of monitoring wells First-order moment analysis indicates that the calculated distance from the source area to the center of mass increased by approximately 300 m (1,000 ft) during the study period ( Fig.…”

Section: Spatial Momentsmentioning

confidence: 99%

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Evidence for natural attenuation of 1,4-dioxane in a glacial aquifer system

Jackson

Lemke

2019

Hydrogeol J

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Although 1,4-dioxane is generally thought to be recalcitrant, recent studies suggest it may degrade in the subsurface under ideal conditions. A fuller understanding of natural attenuation processes affecting 1,4-dioxane is therefore needed to assess its potential for in situ bioremediation. This investigation employed multiple lines of evidence to evaluate attenuation of 1,4-dioxane at the Gelman Site beneath the city of Ann Arbor, Michigan, USA. Data from a network of groundwater monitoring wells were used to determine attenuation metrics at individual wells and at the scale of a prominent 1,4-dioxane plume. A series of plume maps and historical remediation data were used to calculate changes in aqueous phase mass storage, mass influx rates, and mass removal rates over a 12-year period (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017). Individual point and plume-scale metrics indicate that attenuation may be occurring at rates too small to meaningfully contribute to remediation results at the site. Conversely, plume-scale mass balance calculations reveal a 1,4-dioxane storage surplus for the first 6 years, followed by a storage deficit during the remaining 6 years that cannot be explained by mass influx or removal estimates, respectively. Mass balance deficits observed in this aquifer system are attributable to biodegradation and/or unrecognized discharge to surface water and storm drain systems at rates similar to remedial pump-andtreat mass removal during 2011-2017.

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“…There is a substantial body of knowledge in the literature regarding methods for implementing long-term monitoring optimization, which is largely directed at efficient Exhibit 6. Example hierarchy of objectives for monitoring and effective groundwater monitoring (AFCEE, 2006;Federal Remediation Technologies Roundtable, 2008;Johnson et al, 1996;Ling et al, 2004;Radian International, 2000;US EPA, 2004a, 2004b, 2005Yager, 2004). These resources can be applied to permanence tests given that the proper objectives are defined to initiate the process.…”

Section: Permanencementioning

confidence: 99%

Best management practices for environmental restoration programs

Gibbs

Santillan²,

Callier

et al. 2010

Remediation Journal

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Based on a review of hundreds of environmental restoration program optimization reviews, this article describes management tools found in successful and efficient remediation programs. Projects that consistently struggled to achieve their objectives were observed to be missing certain, or to have inadequately used, these tools. The tools are articulated as best practices because when they are present and actively used, project shortcomings were minimal. Priority objectives for site owners and project managers include improving efficiency and effectiveness through performance management, reducing resource usage and energy consumption, ensuring protectiveness, and reducing uncertainty in management decision making. Restoring environmental resources damaged by historic waste management practices began in earnest in the late 1960s and early 1970s with the broad recognition of the problems caused by environmental discharges and spills when wastes are not managed appropriately. Under new regulations, soil and groundwater remediation projects could be, and were, conducted within a defined framework.The number and variety of restoration projects that were launched resulted in a slew of projects progressing through the stages of characterization, decision, and cleanup, and more were added to the cleanup process each year. In the 1990s, the Department of Defense noted that many cleanup efforts were projected to incur substantial operational, maintenance, and monitoring costs for decades into the future. This was correctly perceived as an opportunity to optimize those systems and programs, minimize costs, and reduce health and environmental risks. The best practices outlined in this article address management tools that were identified in optimization efforts that led to effective and efficient environmental remediation projects. O

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Strategies and Decision-Support Tools for Optimizing Long-Term Groundwater Monitoring Plans—MAROS 2.0

Cited by 6 publications

References 25 publications

The sustainable development goals in a bioremediation journal context: what a difference a year makes in a post COVID-19 world!

The sustainable development goals in a bioremediation journal context: what a difference a year makes in a post COVID-19 world!

Evidence for natural attenuation of 1,4-dioxane in a glacial aquifer system

Best management practices for environmental restoration programs

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