Defining the opportunity space for a novel modular system for distributed treatment of industrial wastewaters

Rai, Saumitra¹; Zhang, Xinyi¹; Song, Ian³; Gutenberger, Gretchen⁴; Ajayi, Olutooni⁴; Wright, Natasha³; Arnold, William A.⁴; Novak, Paige J.⁴; Guest, Jeremy S.^1,2

¹Department of Civil and Environmental Engineering, University of Illinois Urbana Champaign,, Urbana, IL 61801, United States.; ²Institute of Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.; ³Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, United States.; ⁴Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, MN 55455, United States.

Burn After Reading: The Increasing Need for Uniting Surveillance with Treatment in Wastewater Management

Mansfeldt, Cresten; Ulanova, Anna

University of Colorado Boulder, CO, United States of America

Adapting AI: Using Deep Neural Networks to Develop Chemical Anomaly Sensors for Wastewater Collection Networks

Navato, Alfred P; Mueller, Amy V

Northeastern University, United States of America

Resource recovery via cranberry syrup waste and carbon balance in a Sidestream Enhanced Biological Phosphorus Removal (S2EBPR) demonstration facility: An experimental and modeling study

Sabba, Fabrizio¹; Farmer, McKenna^1,2; Dunlap, Patrick¹; Downing, Leon¹

¹Black & Veatch, United States of America; ²Northwestern University, Evanston, IL, United States of America

Optimizing sample collection methodology and location for effective and equitable wastewater-based epidemiology in West Virginia

Garner, Emily; Anderson, Christopher; Driscoll, Timothy; Smith, Gordon; Groth, Caroline

West Virginia University, United States of America