Water Quality Detection Using UV Spectra Based on the PCA Algorithm

Lei Lei Dai; Ping Jie Huang; Di Bo Hou; Guang Xin Zhang

doi:10.4028/www.scientific.net/AMM.316-317.690

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Design of an Automatic Three-Dimensional Sampling Device for Water Quality Emergency Monitoring
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Research on Dynamic early Warning Technology of Water Pollution Emergency Based on Pollutant Dispersion Simulation
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Study on Methods of Water Quality Analysis Based on Conventional Water Quality Monitoring Parameters
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Water Quality Detection Using UV Spectra Based on the PCA Algorithm
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Methods for Water Quality Abnormity Assessment Based on Single Factor
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Research Progress of Typical Taste and Odor Compounds Produced by Chlorination in Drinking Water
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The Effect of Membrane Treatment on Chlorine Decay and Trihalomethanes Formation in Water Distribution Systems
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Study on Biofilm Colonization in Different Types of Packing
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 316-317Water Quality Detection Using UV Spectra Based on...

Water Quality Detection Using UV Spectra Based on the PCA Algorithm

Abstract:

Nowadays water pollution is a major problem facing our country, how to detect the water quality anomalies quickly is a major issue which needs to be solved urgently. In this paper, using PCA and cluster analysis methods, the similarities and differences of different water samples are analyzed. Meanwhile, two water samples belonging to the same river can be classified into different clusters due to different pollution degrees. It is promising that detecting the abnormal events based on the ultraviolet spectrum of water is possible. The research and results of this paper provide theoretical support and feasibility roadmap of the technology.

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Periodical:

Applied Mechanics and Materials (Volumes 316-317)

Pages:

690-693

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.316-317.690

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Online since:

April 2013

Authors:

Lei Lei Dai, Ping Jie Huang, Di Bo Hou, Guang Xin Zhang

Keywords:

Principal Component Analysis (PCA), UV-Spectrum, Water Quality

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