Jump to main content.


EMVL FY2009 Projects

EMVL is managed by the Center for Environmental Computing (CEC), part of the National Computer Center (NCC), Office of Technology Operations and Planning (OTOP), Office of Environmental Information (OEI).


High Performance Computing


Project Title: Exposure Assessments in the Context of Urban Environments (AIRTOX)
Principal Investigator: Jason Ching
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: Exposure models for health assessments require knowledge of fine-scale details of air pollutants and of urban environments. This project’s goal is to develop methods that will provide better linkages to exposure models of Community Multi-scale Air Quality (CMAQ) outputs. The project will perform CMAQ, among other modeling approaches, at fine scales to develop an information base. That information serves as a basis to develop methods that could provide both deterministic and stochastic outputs to exposure models in the context of urban environments.

Project Title: Computational Support for Analysis of Air Quality Data (AQDSTAT)
Principal Investigator: Jennifer Richmond-Bryant
Organization: National Center for Environmental Assessment (NCEA)
Project Description: The AQDSTAT project supports the functions of the atmospheric science group within the National Center for Environmental Assessment (NCEA) to provide scientific assessments of the Criteria Air Pollutants (PM, SOx, NO2, CO, O3, Pb) for preparation of Integrated Science Assessments (ISAs) and research priority areas. Statistical analyses of data provided by Office of Air Quality Planning & Standards (OAQPS) for detailed assessment of inter- and intra-Metropolitan Statistical Area (MSA) behavior of the Criteria Pollutants will be performed under this project.

Project Title: Air Quality Forecasting: Model Development and Data Archive (AQF)
Principal Investigator: Rohit Mathur
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: This project uses high-performance computing and data archival resources to leverage the ongoing EPA and National Oceanic and Atmospheric Administration (NOAA) collaboration in air quality forecasting to build a continuous archive of air quality model output from daily forecast applications. The long-term data archive will provide a resource to the States, Regional Planning Organizations (RPOs), and others involved in the State Implementation Plan (SIP) process. It will also provide data for air quality climatology research and linking health and epidemiological data to air quality data.

Project Title: Mitigation of Traffic Emissions Impact by Vegetative And Structural Barriers (BARRIERS)
Principal Investigator: Gayle Hagler
Organization: National Risk Management Research Laboratory (NRMRL) / Air Pollution Prevention and Control Division (APPCD)
Project Description: The BARRIERS project will apply Computational Fluid Dynamics (CFD) modeling to evaluate the effectiveness of vegetative and structural roadside barriers, such as stands of trees, in reducing traffic-related air pollution close to major roadways. The project is developing virtual models of idealized road-source scenarios, both with and without barriers, and simulating the dispersion of traffic emissions under various meteorological conditions.

Project Title: Chesapeake Bay Estuarine Models (CHBAY)
Principal Investigator: Lewis Linker
Organization: Chesapeake Bay Program Office
Project Description: Researchers are running the Chesapeake Bay Estuary Model Package (CBEMP) to predict the effects of different pollutant control strategies—including air, non-point source, and point-source nutrient and sediment reductions—on the quality of water and living resources in the Bay. The estuary model will also help determine proposed regional endpoints for total maximum daily loads in the tidal waters.

Project Title: Computational Atmospheric Chemistry (COMPCHEM)
Principal Investigator: Edward O. Edney
Organization: National Exposure Research Laboratory (NERL) / Human Exposure & Atmospheric Sciences Division (HEASD) / Process Modeling Research Branch (PMRB)
Project Description: This project’s research is determining the viability of computational atmospheric chemistry methods for characterizing the chemical reactions that control the formation and fates of gas-phase and aerosol-phase compounds affecting climate change and atmosphere toxicity. Researchers will compare the outputs for predicting reaction rate constants and chemical pathways to laboratory measurements to assess the computational methods. The methods have the potential to provide EPA with a cost-effective tool for generating data that can supplement lab data and help it meet its regulatory responsibilities in a timely manner.

Project Title: Fuel/Air Mixing, Expansion and Combustion Processes in Engines (ENGINE)
Principal Investigator: Fakhri J. Hamady
Organization: Office of Air and Radiation (OAR) / Advanced Technology Division (ATD)
Project Description: EPA researchers are simulating configurations of automotive internal combustion engines using modeling, computational fluid dynamics (CFD), and other methods, to develop cleaner and more fuel-efficient engines.

Project Title: The Virtual Estuary (ESTUARY)
Principal Investigator: Naomi Detenbeck
Organization: National Health and Environmental Effects Research Laboratory (NHEERL) / Atlantic Ecology Division (AED)
Project Description: EMVL is assisting researchers in designing a custom module to download and pre-process Geographic Information Systems (GIS), remote-sensing, and environmental data for a user-defined area. The project’s data needs are currently defined by the Analytical Framework for Coastal and Estuarine Studies (ACES) data model for estuaries and coastal systems and by tools and models already developed or under development. The project’s goal is to develop decision-support tools that can be applied at multiple scales by stakeholders with various needs (National Estuary Program sites, states, regions) without being constrained by a pre-defined population of systems.

Project Title: Small Fish Computational Toxicology (FISHTOX)
Principal Investigator: Ronglin Wang
Organization: National Exposure Research Laboratory (NERL) / Ecological Exposure Research Division (EERD)
Project Description: This project uses a combination of whole organism endpoints, genomic, proteomic, and metabonomic approaches, and computational modeling to:
  • Identify new molecular biomarkers of exposure to endocrine disrupting compounds representing several modes/mechanisms of action, and
  • Link those biomarkers to effects that are relevant for both diagnostic and predictive risk assessments using small fish models

Project Title: Molecular Dynamics Simulation of Polymer-Fuel Species Interaction (HAPCOMB)
Principal Investigator: Takahiro Yamada
Organization: University of Dayton Research Institute
Project Description: This study examines whether theoretical investigation can be used as a potential tool to predict the intensity of a nitrile rubber O-ring model polymer/fuel species interaction, namely swelling, and if so, which calculated properties have a strong correlation with experimentally observed swelling behavior.

Project Title: Computational Modeling of Particle lnhalability (INHALE)
Principal Investigator: James S. Brown
Organization: National Center for Environmental Assessment (NCEA)
Project Description: There is considerable uncertainty surrounding the inhalability of particles as a function of age, route of breathing, and in low wind-speed environments. Inhalability refers to the fraction of airborne particles that can enter the nose or mouth during inhalation. This project’s overall goal is to provide a better characterization of particle inhalability in adults and children under realistic breathing conditions while simulating activities, ranging from sleep to heavy exercise, over a range of ambient wind speeds. The project uses Computational Fluid Dynamics (CFD) simulations whose results will be fitted by empirical models that can be directly used to predict particle inhalability for a variety of scenarios.

Project Title: Computational Modeling of the Human Respiratory Tract (LUNG)
Principal Investigator: Jacky Rosati
Organization: National Homeland Security Research Center (NHSRC) / Decontamination and Consequence Management Division (DCMD)
Project Description: NHSRC and EMVL are developing a comprehensive computational fluid dynamics (CFD), morphologically realistic model of the human respiratory tract. The goal of this work is to model the inhalation, deposition, and clearance of contaminants, while making the model adaptable for age, race, sex, health, and so on. The model can be used to predict dose from exposure to hazardous particulate-based contaminants, such as anthrax or ricin. This knowledge will help to better protect the public and first responders by providing critical information needed on inhaled anthrax or other aerosol-based contaminants. The model will also assist in estimating thresholds and the need for prophylactic measures.

Project Title: Models-3/CMAQ applications (MOD3APP)
Principal Investigator: Robin L. Dennis
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: MOD3APP applies the CMAQ model to specific evaluation efforts for EPA including Tampa Bay and Chesapeake Bay.

Project Title: Third Generation Modeling System Development (MOD3DEV)
Principal Investigator: Rohit Mathur
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: This project actively pursues the ongoing development and improvement of CMAQ simulations to make the models more computationally efficient and accurate.

Project Title: Models-3/CMAQ evaluation (MOD3EVAL)
Principal Investigator: Shawn J. Roselle, Alice B. Gilliland, Rob Pinder
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: EPA researchers constantly re-examine and re-evaluate CMAQ to establish credibility and build confidence within the user and scientific community. This project evaluates CMAQ’s performance against collected data and its emissions, meteorological, and chemical/transport modeling components.

Project Title: Molecular Modeling for Health Risk Assessment (MOMOLSAR)
Principal Investigator: James Rabinowitz
Organization: National Center for Computational Toxicology (NCCT) / Molecular Toxicology Branch (MTB)
Project Description: Researchers are building and running models to identify the effects of man-made chemicals (such as pesticides) on the endocrine system and to develop an understanding of potential mechanisms for environmental endocrine disruption.

Project Title: Dispersion and Turbulent Transport of Air Pollutants Near-Roads (NEARROAD)
Principal Investigator: Alan Vette
Organization: National Exposure Research Laboratory (NERL) / Human Exposure & Atmospheric Sciences Division (HEASD)
Project Description: The NEARROAD project uses Computational Fluid Dynamics (CFD) simulations in connection with wind tunnel studies to develop customizable parameters that can be integrated into existing operational models and simplified research models. The goal is to adequately represent real-world conditions when evaluating the impacts of motor vehicles on near-road air quality at the neighborhood and urban scale. Operational and simplified research models can help regulatory and urban planning decision-makers better understand the implications of roadway design and to better understand near-road health effects.

Project Title: A Pilot Study for Near Real-Time Aerosol Modeling and Air Quality Characterization (NYSDEC)
Principal Investigator: Gopal Sistla
Organization: Bureau of Air Quality Analysis and Research / New York State Department of Environmental Conservation
Project Description: This project runs the Community Multi-scale Air Quality (CMAQ) model for near-real-time ozone and PM2.5 simulations to create daily forecasts of same-day and next-day air quality indexes for eight air-quality regions in New York State. These routine forecasts are based on measured concentrations, climatology, weather forecasts, and expert judgment. The analysis will focus on comparisons with other empirical methods of forecast over the Northeast with emphasis on the New York Metropolitan region.

Project Title: Computational Chemistry Applied to Environmental Analytical Chemistry (PAHLVGOV)
Principal Investigator: Don Betowski
Organization: National Exposure Research Laboratory (NERL) / Experimental Sciences Division (ESD), Las Vegas, NV
Project Description: This project provides tools to quantify and predict the chemical behavior of polynuclear aromatic hydrocarbons (PAHs) and other compounds found in the environment. Ultimately, the computed structures will be used to determine the toxicity of such compounds. Many of the high-molecular weight PAHs are toxic, so developing sensitive and specific methods to detect them in the environment is critical.

Project Title: Optimize the Performance of Polymeric Membranes under Pervaporation to Improve the Recovery of Biofuels (PERVAPSI)
Principal Investigator: Paul Harten
Organization: National Risk Management Research Laboratory (NRMRL)
Project Description: The project is using molecular dynamics software to simulate the performance of polymeric membranes under pervaporation. Then, only those determined to be the most promising candidates could be created and tested in the lab for further investigation. Optimizing the search for effective membranes could improve the efficient recovery of biofuels during the fermentation process.

Project Title: Statistics and Physiologically-Based PharmacoKinetics (PBPKSTAT)
Principal Investigator: Woodrow Setzer
Organization: National Center for Computational Toxicology (NCCT)
Project Description: The project is exploring methodology to better estimate parameters for Physiologically-Based Pharmacokinetic (PBPK) models that describe the changes in concentration of a chemical in different parts of the body after the administration of various doses. These models allow one to determine what fraction of the total dose is received by specific tissues after an oral or inhaled dose.

Project Title: Regional Modeling to Support Clean Air Act Requirements (ROMO)
Principal Investigator: Carey Jang
Organization: Office of Air and Radiation (OAR) / Air Quality Analysis
Project Description:

This project is running large-scale modeling scenarios to quantify the effect of air-quality control measures on specific pollutants. The model runs simulate physical and chemical processes associated with the formation, transport, and interaction of such reactive pollutants as ozone and certain components of PM2.5.

As of FY2009, this project encompasses the following subprojects:

  • CLIMATE -- Model applications, data, and analyses in support of climate and climate change
  • FEDRULES -- Model applications, data, and analyses in support of federal rules to help attain air quality and/or emissions standards
  • MULTIPOL -- Model applications, data, and analyses in support of multi-pollutant (criteria and toxic) assessments
  • NAAQS_DI -- Model applications, data, and analyses in support of implementation and nonattainment designations for National Ambient Air Quality Standards
  • NAAQS_SS -- Model applications, data, and analyses in support of the review of new National Ambient Air Quality Standards
  • PLATEVAL -- Model applications, data, and analyses in support of the development and evaluation of air quality modeling platforms
  • SECTORS -- Model applications, data, and analyses in support of emissions sector-based assessments

Project Title: Evaluation of HPC Resources for Exploratory Data Analysis (SYSBIO)
Principal Investigator: Stephen Edwards
Organization: National Health and Environmental Effects Research Laboratory (NHEERL) / Associate Director of Health (ADH)
Project Description: Two pilot projects in systems biology aim to evaluate the HPC cluster’s capabilities for analyzing high-volume data. The first project involves a meta-analysis of all microarray data generated within NHEERL relating to determining the mode of action for arsenic. The second project is a feasibility study for a cardiopulmonary biologically based dose response model.

Project Title: Application of Texas Air Quality System (TexAQS)/Thermal Remote Sensing Data for Improving Accuracy of Photochemical Model Prediction of Future Ozone Design Values (TEXAQS)
Principal Investigator: Biswadev (Dev) Roy
Organization: Region 6
Project Description: The project continues its photochemical modeling of the Houston-Galveston area’s ozone seasons for 2000, 2006, 2007, and 2008. For those years, the project is using a high-resolution grid with emissions files obtained from the Texas Commission on Environmental Quality and Meteorological inputs (with satellite thermal signatures) from Office of Research and Development’s (ORD) Atmospheric Modeling Division. These data will help to characterize important meteorological phenomena affecting ozone in the area, including land/sea/bay breeze, nocturnal jets, stagnation, frontal passages, dispersion and mixing of ozone precursors, and transport.

Project Title: Mesoscale Meteorological Modeling to Support Air-Quality Simulation (WRF)
Principal Investigator: Tanya L. Otte
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling Division (AMD)
Project Description: This work includes experimentation, application, and further development of mesoscale meteorological models to be used for input to air quality models such as the Community Multi-scale Air Quality (CMAQ) model. EMVL’s HPC systems have been the primary platform to advance the development of CMAQ’s Meteorology-Chemistry Interface Processor.


Visualization and Scientific Computing

All of the organizations listed below fall under EPA’s Office of Research and Development (ORD), which funds the operation of the Environmental Modeling and Visualization Lab (EMVL).


Project Title: Chemical Toxicity Modeling (CHEMTOX)
Principal Investigator: Dr. James Rabinowitz
Organization: National Center for Computational Toxicology (NCCT)
Project Description:

The CHEMTOX project is using molecular modeling methods to predict the intermolecular interactions of environmental chemicals with protein targets. The goal is to computationally identify possible molecular toxicity as a means to prioritize chemical testing needs.

EMVL is assisting the PI with this project in two ways:

  • Automating the computational procedures to increase the work flow for the molecular part of this project.
  • Integrating these results into more complex multidimensional multiscale toxicity prediction approaches.

Project Title: Aggregated Computational Toxicology Resource (ACToR)
Principal Investigator: Dr. Richard Judson
Organization: National Center for Computational Toxicology (NCCT)
Project Description: EMVL staff has assisted, and continues to assist, the PI in developing and improving the sophisticated interface to the ACToR system.  ACToR is an aggregated database of environmental chemicals along with supporting software and a Web interface for browsing and searching the data. Its goal is to develop a comprehensive toxico-genomics database that brings together many types and sources of data on environmental chemicals into a central location. The ACToR database contains information on chemical structure, in vitro bioassays, and in vivo toxicology assays from more than 150 sources.

Project Title: Development of Computational Model of the Human Liver (VLIVER)
Principal Investigator: Dr. Imran Shah
Organization: National Center for Computational Toxicology (NCCT)
Project Description: Working through the EMVL staff in RTP, Lockheed Martin specialists from Eagan, Minnesota, are assisting the PI in developing a Web-accessible, ontology-based knowledge system of liver tissue research.

Project Title: Advanced Accountability Tools for the Air Program: Remote Sensing Information Gateway (RSIG)
Principal Investigator: Jim Szykman
Organization: National Exposure Research Laboratory (NERL) / Human Exposure & Atmospheric Sciences Division (HEASD)
Project Description:

EMVL has, over the last three years, worked with EPA scientists to build the Remote Sensing Information Gateway (RSIG). RSIG offers a new way for users to get the multi-terabyte, environmental datasets they want via an interactive, Web browser-based application. RSIG reduces a file download and parsing process from months to minutes.

RSIG also allows users to integrate their selected datasets into a unified visualization. The user can tap into a wide range of key environmental models and data, such as NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS), the Environmental Protection Agency’s (EPA) Community Multi-scale Air Quality (CMAQ) model output, National Environmental Satellite, Data, and Information Service (NESDIS) biomass burning data, and ground station measurements from AIRNow and EPA's Air Quality System (AQS).

RSIG visualizes each dataset and then overlays them on a map of the selected region, automatically aligning information from various spatial and temporal scales into a unified structure. Currently, RSIG focuses on atmospheric data, but it can be extended to accommodate any type of remote or sensed data. The benefit to users and consumers of environmental data is fast acquisition of only the data they want to see and in a standard format they can save to their desktop PC.


Project Title: Enhancements to the Visualization Environment for Rich Data Interpretation (VERDI)
Principal Investigator: Dr. Donna Schwede
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling and Analysis Division (AMAD)
Project Description:

EPA contracted with the Argonne National Lab to develop the VERDI visualization tool as a replacement for the Package for Analysis and Visualization of Environmental data (PAVE), which has been used to visualize and analyze Community Multi-scale Air Quality (CMAQ) input and output data.

For FY2009, Dr. Donna Schwede asked EMVL staff to continue its work in improving the performance of VERDI, especially in its ability to animate tile plots on ORD scientists’ personal computers when the VERDI application is being run on large-scale systems such amber or vortex, the Agency’s two largest High Performance Computing (HPC) systems. EMVL has achieved an approximately 100x speedup in the tile plot animation rate.


Project Title: Gulf of Mexico Hypoxia Monitoring and Modeling: Linking Satellite Ocean Color Remote Sensing and Hydrodynamic Modeling to Understand the Mechanisms Regulating Hypoxia in the Northern Gulf of Mexico (GULFBREEZE)
Principal Investigator: Dr. Rick Greene & Dr. John Lehrter
Organization: National Health and Environmental Effects Research Laboratory (NHEERL) / Gulf Ecology Division (GED)
Project Description: EMVL staff are assisting the PIs in developing and then integrating multiple ocean models, such as Gulf Ecology Model and the US Navy’s Three-Dimensional Ocean Model, to study and model hypoxia, anoxia, and water visibility—which is reduced by suspended particulates and phytoplankton—in the northern Gulf of Mexico.

Project Title: Environmental Modeling Support for the Development and Application of High Resolution Models for the Gulf of Mexico Hypoxia Project and Visualization Support for the High Resolution Model (LM3)
Principal Investigators: Russ Kreis & Ken Rygwelski
Organization: National Health and Environmental Effects Research Laboratory (NHEERL) / Mid-Continent Ecology Division
Project Description:

Researchers at the Large Lakes Research Station in Grosse Ile, MI, seek to apply their eutrophication model, LM3-Eutro, to existing hydrodynamic model output pertaining to the Gulf of Mexico. In particular, the modified LM3-Eutro, called Gulf of Mexico Dissolved Oxygen Model (GOMDOM), will be used to model hypoxia and nutrient loading events in the Gulf associated with discharge from the Mississippi River and other tributaries.

EMVL is supporting the PIs in several ways for this project:

  • Developing standalone FORTRAN code to calculate full 3D distribution of the horizontal dispersion coefficient (also called turbulent horizontal eddy diffusivity).
  • Determine why the original LM3 Eutro model is producing negative concentration values. Once the cause is determined, make a recommendation for fixing it.
  • Optimize the LM3-Eutro model, which will then carry over into the new GOMDOM program.

Project Title: Computer Modeling and Visualization of the Human Respiratory System with Computational Fluid Dynamics (CFD) Analyses of Particulate Matter (PM) Flow for Assessment of Risk to Human Health (LUNG)
Principal Investigators: James Brown (ORD/NCEA/NCEA_RTP)
Jacky Rosati (ORD/NHSRC/DCMD)
Organization: James Brown: National Center for Environmental Assessment (NCEA)
Jacky Rosati: National Homeland Security Research Center (NHSRC) / Decontamination and Consequence Management Division (DCMD)
Project Description:

EMVL staff continues its work on building a fully integrated, realistic model of the human respiratory system. This includes a detailed model of the nasopharyngeal passages (nose and mouth), throat, and the lobes of the lung itself. EMVL staff also continue to write, edit, and submit papers documenting this work to peer-reviewed publications.

These realistic models are based on actual Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) data. The purpose of this work is to better understand human exposure to various pollutants through a more precise awareness of particle deposition within the human lung.


Project Title: Visualization of Human Exposure in Urban Environments (NEARROAD)
Principal Investigator: Dr. Alan Vette
Organization: National Exposure Research Laboratory (NERL) / Atmospheric Modeling and Analysis Division (AMAD)
Project Description:

This project focuses on improving dispersion modeling tools to produce robust estimates of air pollutant concentrations in the near-road environment, which is a vital input to human exposure models. By using Computational Fluid Dynamics (CFD) simulations in connection with wind tunnel studies, the approach is to develop simplifying parameterizations that can be integrated into operational models and simplified research models.

EMVL staff have worked on:

  • Developing idealized roadway models for CFD purpose based on test scenarios in the EPA wind tunnel;
  • Developing a virtual model of the Las Vegas site where field experiments are being planned;
  • Performing CFD simulations using the idealized roadway models and evaluation with wind tunnel results;
  • Performing CFD simulations using the Las Vegas virtual model and evaluating against wind tunnel results.

Project Title: Virtual Embryo (VEMBRYO)
Principal Investigator: Dr. Thomas Knudsen
Organization: National Center for Computational Toxicology (NCCT)
Project Description:

EMVL is working with the PI to create a high quality visualization of lens morphogenesis in the mouse eye. The eye development project is a feasibility prototype to determine its applicability to the development of models for all embryogenesis processes.

EMVL’s effort toward this end is divided into four tasks for FY2009:

  • Develop a Visualization Model to render tissue morphogenesis, as described in the NCCT Board of Science Counselors (BOSC) review presentation.
  • Adapt a project management tool to describe normal and abnormal tissue morphogenesis processes. Use this tool output as a simulated input to the Interpreter application.
  • Develop an Interpreter application to interface and translate incoming requests from the Computational Model and other simulated outputs to the Visualization Model.
  • Use standardized ontologies, formal descriptions, and file formats, such as Gene Ontology (GO), Edinburgh Mouse Atlas Project (EMAP), and RDF/XML, so that implementations are shareable and knowledgebase-aware. Use portable open source tools.

Project Title: Physiologically Relevant Parameter Recall (PReParE)
Principal Investigator: Dr. Michael "Rocky" Goldsmith
Organization: National Exposure Research Laboratory (NERL) / Human Exposure & Atmospheric Sciences Division (HEASD)
Project Description:

The overall goal of this project is to develop a set of tools to generate a physiologically based pharmacokinetic (PBPK) model from scratch given a new chemical and a set of criteria, such as organism, age, organ, tissue or other compartment, and exposure route. When possible, the tools will be integrated within a custom Web-based graphical user interface (GUI).

The project’s output will include the following products:

  • Report information including physiology, tissue specific partition functions, absorption, distribution, metabolism, and excretion (ADME) endpoints, parent chemical loss rates, target list Ligand Activity in Surface Similarity Order (LASSO) descriptors from SimBioSys Inc.’s eHiTS software, and target list docking.
  • An estimate from a rapid calculation using the pre-computed Excel model and tissues from Cahill and MacKay.
  • File(s) suitable for input into the EPA’s Exposure Related Dose Estimating Model (ERDEM).

Project Title: The Virtual Estuary (VESTUARY)
Principal Investigator: Dr. Naomi Detenbeck
Organization: National Health and Environmental Effects Research Laboratory (NHEERL) / Atlantic Ecology Division (AED)
Project Description:

EMVL is assisting researchers in designing a custom module to download and pre-process Geographic Information Systems (GIS), remote-sensing, and environmental data for a user-defined area. The project’s data needs are currently defined by the Analytical Framework for Coastal and Estuarine Studies (ACES) data model for estuaries and coastal systems and by tools and models already developed or under development.

The Virtual Estuary tool will allow the PI and other researchers to efficiently populate a master database as well as to develop decision-support tools that can be applied at multiple scales by stakeholders with various needs, such as National Estuary Program sites, states, and regions, without being constrained by a pre-defined population of systems.


Project Title: Mitigation of Traffic Emissions Impact by Barriers (BARRIERS)
Principal Investigator: Dr. Gayle Hagler
Organization: National Risk Management Research Laboratory (NRMRL) / Air Pollution Prevention and Control Division (APPCD)
Project Description: EMVL staff are applying Computational Fluid Dynamics (CFD) modeling to evaluate the effectiveness of vegetative and structural roadside barriers, such as stands of trees, in reducing traffic-related air pollution close to major roadways. The project is developing virtual models of idealized road-source scenarios, both with and without barriers, and simulating the dispersion of traffic emissions under various meteorological conditions.

Project Title: Computational Modeling of Particle Inhalability (INHALE)
Principal Investigator: Dr. James Brown
Organization: National Center for Environmental Assessment (NCEA)
Project Description: There is considerable uncertainty surrounding the inhalability of particles as a function of age, route of breathing, and in low wind-speed environments. Inhalability refers to the fraction of airborne particles that can enter the nose or mouth during inhalation. This project’s overall goal is to provide a better characterization of particle inhalability in adults and children under realistic breathing conditions while simulating activities, ranging from sleep to heavy exercise, over a range of ambient wind speeds. EMVL staff members are using Computational Fluid Dynamics (CFD) simulations, which will be iteratively improved by comparing the simulation results against available empirical data, with the goal of using the refined simulations (models) to predict particle inhalability for a variety of scenarios.

Project Title: Decision Support Framework (DECISION)
Principal Investigator: Dr. William Barrett
Organization: Ecosystems Services Research Program (ESRP)
Project Description:

In FY2009, EMVL staff members are assisting the PI in developing concepts for the Decision Support Framework (DSF) into well-defined requirements. EMVL is also developing visual products that communicate the DSF vision and functionality.

See ESRP’s Community Research Projects for background information related to this project.



Local Navigation


Jump to main content.