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2014 ISCMEM Annual Meeting Group 4 - Distributed Watershed Water Quality Model Development Billy Johnson (USACE) – Co-Group Leader Laj Ahuja (ARS-Fort Collins) – Co-Group Leader February 25-26, 2014. Working Group 4 Objectives.
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Group 4 - Distributed Watershed Water Quality Model Development
Billy Johnson (USACE) – Co-Group Leader
LajAhuja (ARS-Fort Collins) – Co-Group Leader
February 25-26, 2014
The objectives of this working group are to foster technology transfer in the form of sharing basic knowledge and, where applicable, sharing modules/tools for the betterment of the modeling community.
The hope is that through this technology transfer, collaborations between individual agencies and individual researchers can be achieved such that joint projects and research development efforts can be initiated.
Field Demonstration and Validation of TREECS and EFS for the Risk Assessment of Contaminants on
Billy Johnson, ERDC-EL and Eric Weber, EPA-ERD
Concern over the release of munitions constituents (MC) on active firing ranges and other than operational training lands that have the potential for the MC to migrate to off-range areas is increasing and endangers the long-term sustainability of ranges.
Energetic compounds are commonly found at open burn/open detonation explosive/ordnance demolition sites. In addition, heavy metals accumulate on firing ranges and are a concern due to their potential toxicity to animals and risk to human health.
Finally, the issue of emerging contaminants due to new MC and contaminants on other than operational lands are becoming a bigger issue for DoD installations.
Training Range Environmental Evaluation and Characterization System (TREECS) is a client-based system that provides forecasts of Munitions Constituents (MC) fate on and off range based on munitions use on range.
Formulate and couple MC fate/transport-transformation-sequestration models of reduced form in an integrated framework for fast assessments with a minimal amount of user input.
This integration of models and databases provide for an innovative approach to evaluating the fate and transport of MC from military training ranges
Certificate of Networthiness for installation on Army Computers!
TREECS Tier 2 Conceptualization
The Environmental Fate Simulator (EFS) is designed to provide the necessary molecular and environmental descriptors necessary for the parameritization of fate modes for estimating concentrations of the parent chemical and predicted transformation products.
Integration of cheminformatics applications for the encoding of process science with software technologies that allow for the high through put calculation of pchem properties and retrieval of measured data required for the parameritization of environmental fate models
Reaction Pathway Simulator (RPS):
Generates potential transformation products based on user-specified conditions
Environmental Fate Simulator Conceptualization
Physicochemical Properties Calculator (PPC):
Molecular descriptors for the parent chemical and predicted transformation products
Chemical Editor (CE):
Provides options for chemical entry
Structure-based Database (SBD):
populated with calculated and measured physico-chemical properties of parent and potential transformation products
Earth Systems Model: Data Mining for environmental descriptors
Reaction Rate Calculator:
Parameritization and Execution of QSARs and Algorithms
Modeling Interactions of Riverine Flow and Vegetation
Product Development Team:
Billy Johnson (EL)
Zhonglong Zhang (BTS Inc.)
Mark Jensen (HEC)
Blair Greimann (USBR)
Fluvial sediment schematic
Bed material load
Most Advanced 1-D Channel Sedimentation Model: Accounts for bed armoring and sediment resuspension.
Suspended load – sand, silt & clay
Bed load – sand, gravel, cobbles & boulders
Wash load – silt & clay
Bed material load – sand, gravel, cobbles & boulders
USBR vegetation model offers a highly parameterized simulation of vegetation.
Parameters identify root, stem, and canopy growth rates, lateral growth, germination seasons, germination requirements, dormant seasons, and mortality factors, including desiccation, inundation, erosion, shading, and competition.