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Study on an Online Detection Method for Ground Water Quality and Instrument Design

The online measurement of ground water quality, as one important area of water resource protection, can provide real-time measured water quality parameters and send out warning information in a timely manner when the water resource is polluted. Based on ultraviolet (UV) spectrophotometry, a remote o...

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Autores principales: Wu, Xiushan, Tong, Renyuan, Wang, Yanjie, Mei, Congli, Li, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539808/
https://www.ncbi.nlm.nih.gov/pubmed/31075925
http://dx.doi.org/10.3390/s19092153
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author Wu, Xiushan
Tong, Renyuan
Wang, Yanjie
Mei, Congli
Li, Qing
author_facet Wu, Xiushan
Tong, Renyuan
Wang, Yanjie
Mei, Congli
Li, Qing
author_sort Wu, Xiushan
collection PubMed
description The online measurement of ground water quality, as one important area of water resource protection, can provide real-time measured water quality parameters and send out warning information in a timely manner when the water resource is polluted. Based on ultraviolet (UV) spectrophotometry, a remote online measurement method is proposed and used to measure the ground water quality parameters chemical oxygen demand (COD), total organic carbon (TOC), nitrate nitrogen (NO(3)–N), and turbidity (TURB). The principle of UV spectrophotometry and the data processing method are discussed in detail, the correlated mathematical modeling of COD and TOC is given, and a confirmatory experiment is carried out. Turbidity-compensated mathematical modeling is proposed to improve the COD measurement accuracy and a confirmatory experiment is finished with turbidity that ranges from 0 to 100 NTU (Nephelometric Turbidity Unit). The development of a measurement instrument to detect the ground water COD, TOC, NO(3)–N, and TURB is accomplished; the test experiments are completed according to the standard specification of China’s technical requirement for water quality online automatic monitoring of UV, and the absolute measuring errors of COD, TOC, and NO(3)–N are smaller than 5.0%, while that of TURB is smaller than 5.4%, which meets the requirements for the online measurement of ground water quality.
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spelling pubmed-65398082019-06-04 Study on an Online Detection Method for Ground Water Quality and Instrument Design Wu, Xiushan Tong, Renyuan Wang, Yanjie Mei, Congli Li, Qing Sensors (Basel) Article The online measurement of ground water quality, as one important area of water resource protection, can provide real-time measured water quality parameters and send out warning information in a timely manner when the water resource is polluted. Based on ultraviolet (UV) spectrophotometry, a remote online measurement method is proposed and used to measure the ground water quality parameters chemical oxygen demand (COD), total organic carbon (TOC), nitrate nitrogen (NO(3)–N), and turbidity (TURB). The principle of UV spectrophotometry and the data processing method are discussed in detail, the correlated mathematical modeling of COD and TOC is given, and a confirmatory experiment is carried out. Turbidity-compensated mathematical modeling is proposed to improve the COD measurement accuracy and a confirmatory experiment is finished with turbidity that ranges from 0 to 100 NTU (Nephelometric Turbidity Unit). The development of a measurement instrument to detect the ground water COD, TOC, NO(3)–N, and TURB is accomplished; the test experiments are completed according to the standard specification of China’s technical requirement for water quality online automatic monitoring of UV, and the absolute measuring errors of COD, TOC, and NO(3)–N are smaller than 5.0%, while that of TURB is smaller than 5.4%, which meets the requirements for the online measurement of ground water quality. MDPI 2019-05-09 /pmc/articles/PMC6539808/ /pubmed/31075925 http://dx.doi.org/10.3390/s19092153 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Xiushan
Tong, Renyuan
Wang, Yanjie
Mei, Congli
Li, Qing
Study on an Online Detection Method for Ground Water Quality and Instrument Design
title Study on an Online Detection Method for Ground Water Quality and Instrument Design
title_full Study on an Online Detection Method for Ground Water Quality and Instrument Design
title_fullStr Study on an Online Detection Method for Ground Water Quality and Instrument Design
title_full_unstemmed Study on an Online Detection Method for Ground Water Quality and Instrument Design
title_short Study on an Online Detection Method for Ground Water Quality and Instrument Design
title_sort study on an online detection method for ground water quality and instrument design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539808/
https://www.ncbi.nlm.nih.gov/pubmed/31075925
http://dx.doi.org/10.3390/s19092153
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