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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9182287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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