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Risk Assessment in Monitoring of Water Analysis of a Brazilian River

This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese molar concentration, and Escherichia coli, wh...

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Autores principales: Brandão, Luciene Pires, Silva, Vanilson Fragoso, Bassi, Marcelo, de Oliveira, Elcio Cruz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182287/
https://www.ncbi.nlm.nih.gov/pubmed/35684564
http://dx.doi.org/10.3390/molecules27113628
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author Brandão, Luciene Pires
Silva, Vanilson Fragoso
Bassi, Marcelo
de Oliveira, Elcio Cruz
author_facet Brandão, Luciene Pires
Silva, Vanilson Fragoso
Bassi, Marcelo
de Oliveira, Elcio Cruz
author_sort Brandão, Luciene Pires
collection PubMed
description This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese molar concentration, and Escherichia coli, which could be wrongly treated as outliers, as well as the non-Gaussian data, robust methods were used to calculate the measurement uncertainty. Next, based on guard bands, the compliance assessment was evaluated using this previous uncertainty information. For these four measurands, partial overlaps between their uncertainties and the specification limit could generate doubts about compliance. The non-parametric approach for calculating the uncertainty connected to the guard bands concept classified pH and BOD as “conform”, with a risk to the consumer of up to 4.0% and 4.9%, respectively; in contrast, manganese molar concentration and Escherichia coli were “not conform”, with a risk to the consumer of up to 25% and 7.4%, respectively. The methodology proposed was satisfactory because it considered the natural heterogeneity of data with non-Gaussian behavior instead of wrongly excluding outliers. In an unprecedented way, two connected statistical approaches shed light on the measurement uncertainty in compliance assessment of water analysis.
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spelling pubmed-91822872022-06-10 Risk Assessment in Monitoring of Water Analysis of a Brazilian River Brandão, Luciene Pires Silva, Vanilson Fragoso Bassi, Marcelo de Oliveira, Elcio Cruz Molecules Article This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese molar concentration, and Escherichia coli, which could be wrongly treated as outliers, as well as the non-Gaussian data, robust methods were used to calculate the measurement uncertainty. Next, based on guard bands, the compliance assessment was evaluated using this previous uncertainty information. For these four measurands, partial overlaps between their uncertainties and the specification limit could generate doubts about compliance. The non-parametric approach for calculating the uncertainty connected to the guard bands concept classified pH and BOD as “conform”, with a risk to the consumer of up to 4.0% and 4.9%, respectively; in contrast, manganese molar concentration and Escherichia coli were “not conform”, with a risk to the consumer of up to 25% and 7.4%, respectively. The methodology proposed was satisfactory because it considered the natural heterogeneity of data with non-Gaussian behavior instead of wrongly excluding outliers. In an unprecedented way, two connected statistical approaches shed light on the measurement uncertainty in compliance assessment of water analysis. MDPI 2022-06-06 /pmc/articles/PMC9182287/ /pubmed/35684564 http://dx.doi.org/10.3390/molecules27113628 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brandão, Luciene Pires
Silva, Vanilson Fragoso
Bassi, Marcelo
de Oliveira, Elcio Cruz
Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title_full Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title_fullStr Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title_full_unstemmed Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title_short Risk Assessment in Monitoring of Water Analysis of a Brazilian River
title_sort risk assessment in monitoring of water analysis of a brazilian river
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182287/
https://www.ncbi.nlm.nih.gov/pubmed/35684564
http://dx.doi.org/10.3390/molecules27113628
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