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oapen-20.500.12657-579572023-02-01T09:01:49Z Embracing Analytics in the Drinking Water Industry Lee, Juneseok Science Environmental Science Science Applied Sciences Technology & Engineering Mining bic Book Industry Communication::T Technology, engineering, agriculture::TQ Environmental science, engineering & technology bic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDG Industrial applications of scientific research & technological innovation bic Book Industry Communication::T Technology, engineering, agriculture::TT Other technologies & applied sciences::TTU Mining technology & engineering Analytics can support numerous aspects of water industry planning, management, and operations. Given this wide range of touchpoints and applications, it is becoming increasingly imperative that the championship and capability of broad-based analytics needs to be developed and practically integrated to address the current and transitional challenges facing the drinking water industry. Analytics will contribute substantially to future efforts to provide innovative solutions that make the water industry more sustainable and resilient. The purpose of this book is to introduce analytics to practicing water engineers so they can deploy the covered subjects, approaches, and detailed techniques in their daily operations, management, and decision-making processes. Also, undergraduate students as well as early graduate students who are in the water concentrations will be exposed to established analytical techniques, along with many methods that are currently considered to be new or emerging/maturing. This book covers a broad spectrum of water industry analytics topics in an easy-to-follow manner. The overall background and contexts are motivated by (and directly drawn from) actual water utility projects that the authors have worked on numerous recent years. The authors strongly believe that the water industry should embrace and integrate data-driven fundamentals and methods into their daily operations and decision-making process(es) to replace established ìrule-of-thumbî and weak heuristic approaches ñ and an analytics viewpoint, approach, and culture is key to this industry transformation. 2022-08-18T05:31:44Z 2022-08-18T05:31:44Z 2022 book 9781789062380 https://library.oapen.org/handle/20.500.12657/57957 eng application/pdf n/a external_content.pdf IWA Publishing IWA Publishing https://doi.org/10.2166/9781789062380 https://doi.org/10.2166/9781789062380 dc3cfe72-8424-48e6-b8e0-fca2844ba38e b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781789062380 Knowledge Unlatched (KU) IWA Publishing Knowledge Unlatched open access
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Analytics can support numerous aspects of water industry planning, management, and operations. Given this wide range of touchpoints and applications, it is becoming increasingly imperative that the championship and capability of broad-based analytics needs to be developed and practically integrated to address the current and transitional challenges facing the drinking water industry. Analytics will contribute substantially to future efforts to provide innovative solutions that make the water industry more sustainable and resilient. The purpose of this book is to introduce analytics to practicing water engineers so they can deploy the covered subjects, approaches, and detailed techniques in their daily operations, management, and decision-making processes. Also, undergraduate students as well as early graduate students who are in the water concentrations will be exposed to established analytical techniques, along with many methods that are currently considered to be new or emerging/maturing. This book covers a broad spectrum of water industry analytics topics in an easy-to-follow manner. The overall background and contexts are motivated by (and directly drawn from) actual water utility projects that the authors have worked on numerous recent years. The authors strongly believe that the water industry should embrace and integrate data-driven fundamentals and methods into their daily operations and decision-making process(es) to replace established ìrule-of-thumbî and weak heuristic approaches ñ and an analytics viewpoint, approach, and culture is key to this industry transformation.
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