Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools-Reference-Cited by-同舟云学术

Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

Published:2021-04 Issue: Volume:764 Page:142876
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Saboe Daniel,Ghasemi Hamidreza,Gao Ming Ming,Samardzic Mirjana,Hristovski Kiril D.,Boscovic Dragan,Burge Scott R.,Burge Russell G.,Hoffman David A.

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference21 articles.

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4. Microbial potentiometric sensor technology for real-time detecting and monitoring of toxic metals in aquatic matrices;Brown;Maced. J. Chem. Chem. Eng.,2020

5. Microbial potentiometric sensor: a new approach to longstanding challenges;Burge;Sci. Total Environ.,2020

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