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Experimentation Leads to Lower THM Removal Costs
Author(s) -
Chan Shaz
Publication year - 2021
Publication title -
opflow
Language(s) - English
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.1002/opfl.1560
Subject(s) - trihalomethane , boosting (machine learning) , environmental science , waste management , environmental engineering , water treatment , engineering , computer science , artificial intelligence
When rehabilitating one of its water storage tanks, San Jose Water (Calif.) modified its typical boosting system with a powered ventilator and larger mixers to achieve promising trihalomethane removal.