CEEESA Waste Analysis Tools

The Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) provides waste analysis tools that cover a wide range of issues. The table below summarizes the available models. Click on each model name to get more information.

WasteSIMS

WasteSIMS, an interactive modeling tool, is designed to assist in toxic waste processing. The system analyzes the costs and risks of treatment, storage, and disposal of toxic waste and then quantitatively describes the risks, possible health effects, and costs of different waste processing alternatives. The quantitative results are based on many factors, including the chemical composition of the waste; the radionuclides present; the short- or long-term contaminant dose-response of individuals or populations, respectively; the costs of processing facilities and waste transportation; and the geographical configurations of the waste processing alternatives. The WasteSIMS model is composed of a client/server geographic information system interface connected to independent cost and risk models.

Waste_MGMT

This computational database tracks waste streams and emissions from storage through various prescribed treatment technologies to disposal. Inputs include amounts, radiological and hazardous contaminant profiles, physical characterizations of the wastes to be processed at each site, and specifications of treatment processes and key partitioning factors. Outputs consist of final disposition of wastes, including amounts, radiological and hazardous contaminant profiles, physical form of the final waste products, and radioactive and hazardous contaminant emissions that accrue at each process step.

Waste_ACC

This computational database tracks prescribed accident sequences at waste management treatment and storage facilities and calculates radiological source terms and human health effects and risks. Inputs include (1) frequencies of initiating accidents and event-tree-based conditional probabilities of the sequences following the initiating accident and leading to radiological release source terms; (2) volumes and radiological profiles of the inventories comprising the material at risk; (3) fractions of the material-at-risk (MAR) involved in the various accident sequences; (4) respirable airborne release fractions for each radionuclide and sequence that depends on the MAR and relevant accident stresses; (5) leak path factors for each radionuclide and sequence; and (6) dose conversion factors for each population or receptor, which are dependent on the site meteorology assumed and site demographics. Outputs include the in-facility and atmospheric radiological airborne source terms with the frequency of occurrence and human health effects and risks for each receptor or population.

For more information, contact CEEESA.