Air
Industrial Sectors Integrated Solutions Model (ISIS) This is a sector-based dynamic programming model developed to facilitate the analyses of emission reduction strategies for multiple pollutants for multiple U.S. industrial sectors. Coming Soon.
Integrated Air Pollution Control System (IAPCS) Cost Model The IAPCS model estimates costs for implementing various air pollution control technologies applicable to coal-fired power plants. These technologies include sulfur dioxide control, nitrogen oxide control, particulate matter control, and combustion control. The IAPCS model is intended for use by pollution control regulators, architecture and engineering companies, utility companies, public utility commissions, and legislators.
Economics and Performance Modeling EPA’s Air Pollution Technology Branch develops, refines, and maintains economic and performance evaluation models that estimate costs for air pollution prevention and control strategies. The models are intended for use by decision makers looking for objective, authoritative information on the cost-effectiveness of environmental technologies and risk management methods.
Mobile Source Ozone Precursor Emissions Characterization and Modeling: Mobile Emissions Assessment System for Urban and Regional Evaluation (MEASURE) This model characterizes mobile source emissions, which are one of the largest sources of tropospheric ozone precursor emissions (carbon monoxide, nitrogen oxides, and volatile organic compounds) in the United States. This model estimates emissions for specific vehicle and engine operating modes (e.g., engine starts, acceleration, deceleration, and idling) so that more accurate information about actual on-road emissions can be obtained.
Highway Vehicle Particulate Emission Modeling Software – PART5 This is EPA's most up-to-date model for estimating particulate emissions from highway vehicles. The model analyzes the particulate air pollution effect of in-use gasoline-fueled and diesel-fueled motor vehicles. The model is appropriate for comparative analyses, such as determining the potential impact of one traffic control measure versus another.
Indoor Air Quality Modeling Using the latest EPA research, EPA has developed an indoor air quality model for analyzing the effect of emissions sources, sinks, ventilation, and air cleaners on indoor air quality.
RISK Model The RISK computer model is designed to calculate individual exposure to indoor air pollutants from emissions sources. The model can calculate exposure due to individual (as opposed to population) activity patterns and source use. It can also determine risk from the calculated exposure to indoor air pollution.
IAQX: Simulation Tool Kit for Indoor Air Quality and Inhalation Exposure Model This model is an indoor air quality simulation software package that supplements existing simulation programs. It performs conventional indoor air quality simulations, computes the time concentration profile and inhalation exposure, and estimates the adequate ventilation rate for improving indoor air quality.
Cost Analysis of Indoor Air Control Techniques: Energy Costs of Increased Ventilation in Humid Climates (DOE-2 Modeling) This building energy methodology is used to improve indoor air quality. It assesses the energy costs of indoor air quality control through increased ventilation in a warm, humid climate (a climate that makes improving indoor air quality particularly challenging).
Cost Analysis of Indoor Air Control Techniques: Cost Analysis of Air Cleaners for Removing VOCs From Indoor Air This model compares the cost of using granular activated carbon with the cost of using photocatalytic oxidation for treating volatile organic compounds in indoor air.
Water
EPANET EPANET is software that models water distribution piping systems. It performs extended‑period simulations of the hydraulic and water quality behavior within pressurized pipe networks. EPANET was developed to help water utilities maintain and improve the quality of water delivered to consumers through distribution systems. It can be used to design sampling programs, study disinfectant loss and by-product formation, conduct system vulnerability and consumer exposure assessments, and to improve a system’s hydraulic performance.
Storm Water Management Model (SWMM) SWMM is general purpose urban hydrology and conveyance system hydraulics software that is used extensively throughout the Nation. EPA has extended SWMM to explicitly model the hydrologic performance of specific types of low impact development (LID) controls, such as porous pavement, bio-retention areas, rain barrels, infiltration trenches, and vegetative swales. The updated model allows engineers and planners to accurately represent any combination of LID controls within a study area to determine their effectiveness in managing stormwater and combined sewer overflows.
Sanitary Sewer Overflow Analysis and Planning (SSOAP) Toolbox The SSOAP toolbox is a suite of computer software tools used for quantification of rainfall-derived infiltration and inflow and facilitating capacity analysis of sanitary sewer systems. The toolbox is currently interfaced with EPA's Storm Water Management Model Version 5 (SWMM5) for performing dynamic routing of flows through the sanitary sewer systems.
System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) Model SUSTAIN is a decision support system to facilitate selection and placement of best management practices (BMPs) and low impact development techniques at strategic locations in urban watersheds. It was developed to assist stormwater management professionals in developing implementation plans for flow and pollution control to protect source waters and meet water quality goals. From an understanding of the needs of the user community, SUSTAIN was designed for use by watershed and stormwater practitioners to develop, evaluated, and select optimal BMP combinations at various watershed scales on the basis of cost and effectiveness.
Ecosystems
Center for Subsurface Modeling Support (CSMoS) CSMoS provides modeling software used to perform site characterization and ground water flow and transport simulations. The models are also used for selecting groundwater remediation options at Resource Conservation and Recovery Act (RCRA) sites, for studying Superfund-related issues, and for determining wellhead protection areas.
Sustainability
Industrial Process Pollution Prevention Modeling This research program models industrial processes for pollution prevention applications. The purpose of the modeling is to develop computer software tools for users to assess their pollution prevention options with environmental concerns as a major parameter.
PARIS II: Computer-Aided Solvent Design for Pollution Prevention (Program for Assisting the Replacement of Industrial Solvents) PARIS II is software created to address industrial solvents whose continued use raises concern about worker health and about toxics in the environment. This tool identifies pure chemicals or designs chemical mixtures that can serve as alternatives to more hazardous substances currently in use.
CAPE-OPEN – Computer-Aided Process Engineering, Metal Finishing Facility Pollution Prevention Tool Chemical process simulation is a design tool that has long been used to determine the best chemical process options. The CAPE-OPEN project defines a common application for chemical process simulation and computer-aided process engineering, thereby creating a process simulation package for the metal finishing industry. This program can be easily applied to other chemical process industries.
Primary Fine Particle Control Technologies Because of the risks associated with fine particle emissions, EPA has reviewed primary fine particle control technologies. The objective was to evaluate selected particulate matter cost and performance models, critically analyze their strengths and weaknesses, and recommend a program to focus future research on making these models more cost‑effective and on developing the optimum risk reduction strategies.
TEST: Toxicity Estimation Software Tool TEST allows users to estimate toxicological and physical properties of a chemical from its molecular structure. It combines hierarchical clustering with a genetic algorithm approach to derive the predictive models. The toxicological endpoints that are currently in the software include 96-hour fathead minnow LC50, 48-hour daphnia magna LC50, Tetrahymena pyriformis 50 percent IGC50, oral rat LD50, bioconcentration factor, developmental toxicity, and Ames mutagenicity. The physical property endpoints include normal boiling point, flash point, surface tension, viscosity, density, water solubility, and thermal conductivity.
TRACI: Tool for the Reduction and Assessment of Chemical and other environmental Impacts TRACI, a tool for impact assessment, can be used in a comprehensive life cycle impact assessment, sustainability metrics, industrial ecology, process design, and pollution prevention. It uses a probabilistic analysis to determine the level of site specificity for some impact categories. |
