The Effects of Thermal Drift on the Reliability of Water Analyzers

Given their ability to measure the concentration of various pollutants at remote locations, the analyzers used to detect and characterize pollutants in liquid, solid, and gaseous matrices are regarded as high-tech instruments. Since they frequently work in harsh environments, they are vulnerable to important factors like wind, temperature, and power limitations. This paper examines the use of water analyzers in identifying critical circumstances and the behavior that results from thermal drifts. The outcomes and measurement of the water sample are affected by the critical conditions. Two methods were used to evaluate the reliability of analyzers deployed on two water quality monitoring nodes. Principal component analysis (PCA) and Kriging (optimal estimator) are the methods. They have discovered that when there is an overtemperature, the findings do not match; therefore, they have to be dismissed due to a malfunction or failure.

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Published
2024-10-14
DOI
https://doi.org/10.1109/metrosea62823.2024.10765791
Primary Topic
Water Systems and Optimization
Type
article
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article

The Effects of Thermal Drift on the Reliability of Water Analyzers

Maurizio Palmisano, A. Lay-Ekuakille, Jacques Tene Koyazo, S. Maggi et al.
Water Systems and Optimization
article

The Effects of Thermal Drift on the Reliability of Water Analyzers

Maurizio Palmisano, A. Lay-Ekuakille, Jacques Tene Koyazo, S. Maggi, Ramiro Vélasquez, Giuseppe Passerella, Patient-Dérrick Bakajika Mukoma
article en

Abstract

Given their ability to measure the concentration of various pollutants at remote locations, the analyzers used to detect and characterize pollutants in liquid, solid, and gaseous matrices are regarded as high-tech instruments. Since they frequently work in harsh environments, they are vulnerable to important factors like wind, temperature, and power limitations. This paper examines the use of water analyzers in identifying critical circumstances and the behavior that results from thermal drifts. The outcomes and measurement of the water sample are affected by the critical conditions. Two methods were used to evaluate the reliability of analyzers deployed on two water quality monitoring nodes. Principal component analysis (PCA) and Kriging (optimal estimator) are the methods. They have discovered that when there is an overtemperature, the findings do not match; therefore, they have to be dismissed due to a malfunction or failure.

University of Salento (IT), Innovation Engineering (Italy) (IT), Water Research Institute (IT), Institute of Atmospheric Pollution Research (IT), Universidad Panamericana (MX)
Clean water and sanitation
Openalex Percentile: Top 75%
Water Systems and Optimization
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The Effects of Thermal Drift on the Reliability of Water Analyzers — Maurizio Palmisano, A. Lay-Ekuakille, et al. · (2024) | TGRS Research Map | TGRS