Real-time discrimination of contamination source composed of multiple pollutants in surface water based on deep learning and UV–Vis spectral abundance estimation methodology-Reference-Cited by-同舟云学术

Real-time discrimination of contamination source composed of multiple pollutants in surface water based on deep learning and UV–Vis spectral abundance estimation methodology

Published:2024-02 Issue: Volume:307 Page:123635
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Li Qingbo^ORCID,Liu Rui,Bi Zhiqi

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference16 articles.

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2. A canonical correlation analysis based method for contamination event detection in water sources;Li;Environm. Sci. Process. Imp.,2016

3. Distributed Water Pollution Source Localization with Mobile UV-Visible Spectrometer Probes in Wireless Sensor Networks;Ma;Sensors,2018

4. Inverse identification of multiple contaminant sources and pollution states using future spatial-temporal information;Wang;J. Clean. Prod.,2021

5. Detection, provenance and associated environmental risks of water quality pollutants during anomaly events in River Atoyac, Central Mexico: A real-time monitoring approach;Hernandez-Ramirez;Sci. Total Environm.,2019

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