A continuous, in-situ, near-time fluorescence sensor coupled with a machine learning model for detection of fecal contamination risk in drinking water: Design, characterization and field validation-Reference-Cited by-同舟云学术

A continuous, in-situ, near-time fluorescence sensor coupled with a machine learning model for detection of fecal contamination risk in drinking water: Design, characterization and field validation

Published:2022-07 Issue: Volume:220 Page:118644
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Bedell Emily^ORCID,Harmon Olivia,Fankhauser Katie^ORCID,Shivers Zack,Thomas Evan^ORCID

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

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