Whitney St. Michel, Jack Hartwell
The Mixed Waste Focus Area (MWFA) is funding the development of technologies to support the treatment and disposal of the Department of Energy’s remote-handled transuranic (RH-TRU) wastes. Three areas of need were identified in support of this objective: characterization of the radionuclide content to meet disposal facility waste acceptance criteria and transportation requirements, determination of the gas generation potential of these wastes to meet shipping requirements, and techniques to physically move the waste through certification and treatment processes to meet site ALARA concerns. The MWFA is currently supporting the development of three technologies for non-destructive assay of RH-TRU wastes and two projects for data collection and analysis of headspace gases to determine flammable gas generation rates. Work in the material handling area will commence in March, evaluating site needs and current technical capabilities, both commercially and laboratory-based. Development schedules and program summaries of each MWFA-supported activity are discussed in this paper.
@article{4e594c52-45a2-4bfa-89f0-dbfc34a98bb1,
title={MIXED WASTE FOCUS AREA DEVELOPMENT OF TECHNOLOGIES TO CHARACTERIZE REMOTE-HANDLED TRANSURANIC WASTES},
author={Whitney St. Michel and Jack Hartwell},
year={2000},
language={en}
}TY - JOUR TI - MIXED WASTE FOCUS AREA DEVELOPMENT OF TECHNOLOGIES TO CHARACTERIZE REMOTE-HANDLED TRANSURANIC WASTES AU - Whitney St. Michel AU - Jack Hartwell PY - 2000 LA - en ER -
Jirang Cui, Hans Jørgen Roven
Rapid growth in electronic equipment consumption has generated large quantities of electronic waste containing hazardous substances and high-value met
Santhana Krishnan, Nor Syahidah Zulkapli
Fast industrialization has increased the demand for heavy metals, while high-grade ore natural reserves are diminishing. Therefore, alternative source
Florin Constantin Mihai, Florin-Constanin Mihai
E-waste in Transition: From Pollution to Resource examines the dual nature of waste electrical and electronic equipment as both a major pollution sour
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t