Using machine learning classification to detect simulated increases of de facto reuse and urban stormwater surges in surface water.

Thompson, Kyle A; Dickenson, Eric R V

Thompson, Kyle A; Dickenson, Eric R V.

Afiliação

Thompson KA; Water Quality Research and Development, Southern Nevada Water Authority, 1299 Burkholder Blvd., Henderson, United States; Carollo Engineers, Inc., 8911 N Capital of Texas Hwy, Austin, TX 78759, United States. Electronic address: kthompson@carollo.com.
Dickenson ERV; Water Quality Research and Development, Southern Nevada Water Authority, 1299 Burkholder Blvd., Henderson, United States. Electronic address: eric.dickenson@snwa.com.

Water Res ; 204: 117556, 2021 Oct 01.

Article em En | MEDLINE | ID: mdl-34481284

Assuntos

Purificação da Água; Água; Monitoramento Ambiental; Aprendizado de Máquina; Águas Residuárias; Qualidade da Água

Palavras-chave

Artificial intelligence; Big data; De facto reuse; Fault diagnosis; Principle component analysis; Support vector machine

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água / Purificação da Água Tipo de estudo: Prognostic_studies Idioma: En Revista: Water Res Ano de publicação: 2021 Tipo de documento: Article

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