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, McKenna1,2; 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
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