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Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy

Groundwater resources are of utmost importance in sustaining water related ecosystems, including humans. The long-lasting impacts from anthropogenic activities require early actions, owing to the natural time lag in groundwater formation and renewal. The European Union (EU) policy, within the implem...

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Autores principales: Frollini, Eleonora, Preziosi, Elisabetta, Calace, Nicoletta, Guerra, Maurizio, Guyennon, Nicolas, Marcaccio, Marco, Menichetti, Stefano, Romano, Emanuele, Ghergo, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106612/
https://www.ncbi.nlm.nih.gov/pubmed/33411302
http://dx.doi.org/10.1007/s11356-020-11998-0
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author Frollini, Eleonora
Preziosi, Elisabetta
Calace, Nicoletta
Guerra, Maurizio
Guyennon, Nicolas
Marcaccio, Marco
Menichetti, Stefano
Romano, Emanuele
Ghergo, Stefano
author_facet Frollini, Eleonora
Preziosi, Elisabetta
Calace, Nicoletta
Guerra, Maurizio
Guyennon, Nicolas
Marcaccio, Marco
Menichetti, Stefano
Romano, Emanuele
Ghergo, Stefano
author_sort Frollini, Eleonora
collection PubMed
description Groundwater resources are of utmost importance in sustaining water related ecosystems, including humans. The long-lasting impacts from anthropogenic activities require early actions, owing to the natural time lag in groundwater formation and renewal. The European Union (EU) policy, within the implementation of the Water Framework Directive (WFD), requires Member States to identify and reverse any significant and sustained upward trend in the concentration of pollutants, defining specific protection measures to be included in the River Basin Management Plans (RBMP). In Italy, official guidelines for trend and trend reversal assessment have been published recently. Statistical methods, such as the Mann-Kendall test for trend analysis and the Sen’s method for estimating concentration scenarios, should be applied at the fixed terms stated by the WFD implementation cycles to identify upward trends, while the Pettitt test is proposed for the identification of trend reversal. In this paper, we present an application of a slightly modified version of the Italian Guidelines to a groundwater body in Northern Italy featuring nitrate pollution and discuss its advantages and limitations. In addition to Pettitt test, for the trend reversal analysis, we apply the Mann-Kendall test in two sections and compare the results. We conclude that this method seems more reliable than Pettitt test to identify a reversal point in quality time series. The overall procedure can be easily applied to any groundwater body defined at risk across Europe, for the assessment of the upward trends of pollutants and their reversal, even with little chemical monitoring data. Although focused on the EU legislative framework, this procedure may be relevant for a wider context, allowing to individuate upward trend as early warning for contamination processes in an integrated water resources management context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-020-11998-0.
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spelling pubmed-81066122021-05-24 Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy Frollini, Eleonora Preziosi, Elisabetta Calace, Nicoletta Guerra, Maurizio Guyennon, Nicolas Marcaccio, Marco Menichetti, Stefano Romano, Emanuele Ghergo, Stefano Environ Sci Pollut Res Int Research Article Groundwater resources are of utmost importance in sustaining water related ecosystems, including humans. The long-lasting impacts from anthropogenic activities require early actions, owing to the natural time lag in groundwater formation and renewal. The European Union (EU) policy, within the implementation of the Water Framework Directive (WFD), requires Member States to identify and reverse any significant and sustained upward trend in the concentration of pollutants, defining specific protection measures to be included in the River Basin Management Plans (RBMP). In Italy, official guidelines for trend and trend reversal assessment have been published recently. Statistical methods, such as the Mann-Kendall test for trend analysis and the Sen’s method for estimating concentration scenarios, should be applied at the fixed terms stated by the WFD implementation cycles to identify upward trends, while the Pettitt test is proposed for the identification of trend reversal. In this paper, we present an application of a slightly modified version of the Italian Guidelines to a groundwater body in Northern Italy featuring nitrate pollution and discuss its advantages and limitations. In addition to Pettitt test, for the trend reversal analysis, we apply the Mann-Kendall test in two sections and compare the results. We conclude that this method seems more reliable than Pettitt test to identify a reversal point in quality time series. The overall procedure can be easily applied to any groundwater body defined at risk across Europe, for the assessment of the upward trends of pollutants and their reversal, even with little chemical monitoring data. Although focused on the EU legislative framework, this procedure may be relevant for a wider context, allowing to individuate upward trend as early warning for contamination processes in an integrated water resources management context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-020-11998-0. Springer Berlin Heidelberg 2021-01-07 2021 /pmc/articles/PMC8106612/ /pubmed/33411302 http://dx.doi.org/10.1007/s11356-020-11998-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Frollini, Eleonora
Preziosi, Elisabetta
Calace, Nicoletta
Guerra, Maurizio
Guyennon, Nicolas
Marcaccio, Marco
Menichetti, Stefano
Romano, Emanuele
Ghergo, Stefano
Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title_full Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title_fullStr Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title_full_unstemmed Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title_short Groundwater quality trend and trend reversal assessment in the European Water Framework Directive context: an example with nitrates in Italy
title_sort groundwater quality trend and trend reversal assessment in the european water framework directive context: an example with nitrates in italy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106612/
https://www.ncbi.nlm.nih.gov/pubmed/33411302
http://dx.doi.org/10.1007/s11356-020-11998-0
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