Investigating the operational benefits of intelligent water systems at water resource recovery facilities: A plant-wide simulation modeling and machine learning approach

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Environ Engr in Civil Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Emaminejad, Seyed Aryan

Contributors dc:contributor

• Cusick, Roland D.
• Cai , Ximing
• Guest, Jeremy S.
• Wei, Na

• Biological Wastewater Treatment
• Biological Nutrient Removal
• Plant-wide Simulation
• Artificial Intelligence
• Machine Learning
• Sensitivity Analysis
• Hybrid Modeling
• Bio-electrochemical Sensors
• Carbon Monitoring

Statement dc:rights

• Copyright 2024 Seyed Emaminejad

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/124491

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/124491