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Predictive Analytics Steer Water Reuse Process Control
Author(s) -
Conner Nicole,
Cass Ron,
Nix Daniel
Publication year - 2016
Publication title -
opflow
Language(s) - English
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.5991/opf.2016.42.0058
Subject(s) - reuse , predictive analytics , potable water , analytics , process (computing) , water scarcity , reliability (semiconductor) , population , scarcity , computer science , environmental science , water resources , environmental economics , water resource management , environmental engineering , engineering , waste management , data science , ecology , power (physics) , physics , demography , quantum mechanics , sociology , microeconomics , economics , biology , operating system
Water scarcity, climate change, and population growth have led some water utilities to augment potable water supplies with direct potable reuse (DPR). Predictive analytics can be used to ensure treatment process reliability and encourage public trust in DPR.