US Ecology Provides Green Solutions for Finishing Shops
US Ecology uses specialized recycling methods such as recovering metals from liquids and solids.
US Ecology provides various environmental services, including treatment, disposal and recycling of hazardous, nonhazardous and radioactive waste, emergency response and standby services, and a range of field and industrial services. It also recovers metals from liquids and solids as well as provides a recycling option for metal bearing materials rather than disposal.
US Ecology|800-592-5489|usecology.com
Related Content
-
NASF/AESF Foundation Research Project #120: Electrochemical Destruction of Perfluorooctanesulfonate in Electroplating Wastewaters - April 2022-March 2023
This NASF-AESF Foundation research project report covers project work from April 2022 to March 2023 at the University of Illinois at Chicago. The overall objective of this work is to utilize a cost-effective reactive electrochemical membrane (REM) for the removal of PFAS from synthetic electroplating wastewater. Initial results for the oxidation of PFOA with three different catalysts are discussed.
-
NASF/AESF Foundation Research Project #122: Electrochemical Approaches to Treatment of PFAS in Plating Wastewater - 9th Quarterly Report
The NASF-AESF Foundation Research Board selected a project addressing the problem of PFAS and related chemicals in plating wastewater streams. This report covers the ninth quarter of work (January-March 2023). In this report, we describe our work on evaluating the performance of PFAS degradation by electrooxidation using surface fluorinated Ti4O7 anodes in batch mode.
-
NASF/AESF Foundation Research Project #121: Development of a Sustainability Metrics System and a Technical Solution Method for Sustainable Metal Finishing - 15th Quarterly Report
This NASF-AESF Foundation research project report covers the twelfth quarter of project work (October-December 2023) at Wayne State University in Detroit. In this period, our main effort focused on the development of a set of Digital Twins (DTs) using the Physics-Informed Neural Network (PINN) technology with application on parts rinsing simulation.
