An online surface water COD measurement method based on multi-source spectral feature-level fusion-Reference-Cited by-同舟云学术

An online surface water COD measurement method based on multi-source spectral feature-level fusion

Published:2019 Issue:20 Volume:9 Page:11296-11304
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Guan Li¹²³⁴,Tong Yifei¹²³⁴,Li Jingwei¹²³⁴,Wu Shaofeng¹²³⁴,Li Dongbo¹²³⁴^ORCID

Affiliation:

1. School of Mechanical Engineering

2. Nanjing University of Science and Technology

3. Nanjing

4. P. R. China

Abstract

To overcome the shortcomings of UV-Vis absorbance spectroscopic methods, fluorescence spectroscopic methods or wet chemistry methods for COD measurement, an online detection method was developed and evaluated.

Funder

Six Talent Peaks Project in Jiangsu Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/RA/C8RA10089F

Reference23 articles.

1. Characteristics of water quality of municipal wastewater treatment plants in China: implications for resources utilization and management

2. Impact of catalyst load, chemical oxygen demand and nitrite on disinfection and removal of contaminants during catalytic ozonation of wastewater

3. Research on a spectral recognition method for on-line measurement of COD in dyeing wastewater based on SIMCA

4. A coupled classification – Evolutionary optimization model for contamination event detection in water distribution systems

5. An effective LS-SVM-based approach for surface roughness prediction in machined surfaces

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