Development and testing of the Training Range Environmental Evaluation and Characterization System (TREECS™) for Arctic/sub-Arctic conditions

Dortch, Mark S.; Ryder, Jodi L.; Gerald, Jeffrey A.; Johnson, Billy E.

doi:10.21079/11681/34103

Cited by 1 publication

(11 citation statements)

References 30 publications

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“…There is also an Advanced Tier 2 option that allows the user to construct complex media pathways using the FRAMES CSM workspace ( Figure 2). Developmental documentation reports for TREECS™ are provided by Dortch et al (2009Dortch et al ( , 2011aDortch et al ( , 2013aDortch et al ( , 2013b, , Johnson and Dortch (2014a), and Dortch and Gerald (2015), as well as a user manual . TREECS™ has been applied and validated substantially over its development (Dortch et al 2011b, Dortch 2012, Dortch 2013, Dortch et al 2013a, Johnson and Dortch 2014b, and Dortch 2016.…”

Section: Technologymentioning

confidence: 99%

“…There is a TREECS™ utility, referred to as the Hydro-Geo-Characteristics Toolkit (HGCT) to estimate average annual and daily hydrologic inputs. Formulations and methods used for estimating average annual and daily hydrology are described by Johnson and Dortch (2014a) and Dortch (2014).…”

Section: Technology Description and Developmentmentioning

confidence: 99%

“…First-order degradation and reversible, linear, equilibrium partitioning are used in both models. The scientific documentation of the MEPAS groundwater models is provided by Whelan et al (1996) and Dortch et al (2011a).…”

Section: Technology Description and Developmentmentioning

confidence: 99%

“…Descriptions of these two models are provided by Dortch et al (2011a). Both models solve time-varying, mass balance equations for total (dissolved and particulate) contaminant mass in surface water and bottom sediments with reversible linear equilibrium partitioning between dissolved and adsorbed particulate forms.…”

Section: Technology Description and Developmentmentioning

confidence: 99%

“…Demo Area 2 and the receiving groundwater were modeled previously with TREECS™ Dortch 2012). This study site was modeled again (Dortch 2015) as part of this ESTCP project.…”

Section: Model Inputs For Validationmentioning

confidence: 99%

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Field demonstration and validation of TREECS™ and CTS for the risk assessment of contaminants on Department of Defense (DoD) ranges : ESTCP Project Number ER-201435

Johnson¹,

Weber²,

Dortch³

2017

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The Training Range Environmental Evaluation and Characterization System (TREECS™) was developed to forecast the fate of and risk from munitions constituents (MC), such as high explosives (HE) and metals, within and transported from firing/training ranges to surface water and groundwater. The Chemical Transformation Simulator (CTS) was developed by the U.S. Environmental Protection Agency to provide physicochemical properties of complex organic chemicals. TREECS™ requires such properties for predicting environmental fate of MC. This study validated the capability of TREECS™ and CTS to predict MC (HE RDX) concentrations in receiving waters down-gradient of training/firing ranges for three installations: Demolition Area 2 of Massachusetts Military Reservation, MA.; Artillery Impact Area of the U.S. Military Academy, West Point, NY.; and Zulu Impact Area of Marine Corps Base Camp Pendleton, CA. The study also demonstrated the utility of these modeling system for forecasting the fate of emerging HE NTO, DNAN, and NQ associated with new in-sensitive munitions and evaluating best management practices for reducing down-gradient receiving water concentrations. The overall benefit of this work is to help transition these tools to the user community for use towards ensuring range compliance and sustainability into the future.

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Section: Technologymentioning

confidence: 99%

Section: Technology Description and Developmentmentioning

confidence: 99%

Section: Technology Description and Developmentmentioning

confidence: 99%

Section: Technology Description and Developmentmentioning

confidence: 99%

“…Demo Area 2 and the receiving groundwater were modeled previously with TREECS™ Dortch 2012). This study site was modeled again (Dortch 2015) as part of this ESTCP project.…”

Section: Model Inputs For Validationmentioning

confidence: 99%

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