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GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania

In general, the elaboration of the synthesis of water quality in Romania is based on the processing of a large volume of information coming from primary analytical data collected with a constant frequency by the organisms with a specific role in water quality monitoring. This study proposes a novel...

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Autores principales: Avram, Sorin, Cipu, Corina, Corpade, Ana-Maria, Gheorghe, Carmen Adriana, Manta, Nicolae, Niculae, Mihaita-Iulian, Pascu, Ionuţ Silviu, Szép, Róbert Eugen, Rodino, Steliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198268/
https://www.ncbi.nlm.nih.gov/pubmed/34072948
http://dx.doi.org/10.3390/ijerph18115915
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author Avram, Sorin
Cipu, Corina
Corpade, Ana-Maria
Gheorghe, Carmen Adriana
Manta, Nicolae
Niculae, Mihaita-Iulian
Pascu, Ionuţ Silviu
Szép, Róbert Eugen
Rodino, Steliana
author_facet Avram, Sorin
Cipu, Corina
Corpade, Ana-Maria
Gheorghe, Carmen Adriana
Manta, Nicolae
Niculae, Mihaita-Iulian
Pascu, Ionuţ Silviu
Szép, Róbert Eugen
Rodino, Steliana
author_sort Avram, Sorin
collection PubMed
description In general, the elaboration of the synthesis of water quality in Romania is based on the processing of a large volume of information coming from primary analytical data collected with a constant frequency by the organisms with a specific role in water quality monitoring. This study proposes a novel methodology for multi-criteria analysis aiming to evaluate the degradation state of lake ecosystems. The cornerstone of the newly presented methodology is a geographic information system (GIS) automated tool, involving the assessment of potential degradation sources affecting the watershed that supply the lakes with water. The methodology was tested by performing an analysis on 30 lakes in Romania. The lakes belong to different geographical areas, owing various natural specific conditions and were selected to fit to various types and specific local conditions. The calculation of the WRASTIC-HI (Wastewater–Recreation–Agriculture–Size–Transportation–Industry–Cover–Hazard Index) revealed that, out of 30 lake ecosystems selected as the case study, two lakes were fully degraded, 24 lakes were semi-degraded, and four were in a natural state. The four lakes characterised by a natural state are located in mountainous regions or in the Danube Delta. The results obtained on the selected lakes proved that the proposed index calculation corresponded in all case studies to the real field situation, highlighting thus the accuracy of the assessing process and increased advantages of the assessment’s automation.
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spelling pubmed-81982682021-06-14 GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania Avram, Sorin Cipu, Corina Corpade, Ana-Maria Gheorghe, Carmen Adriana Manta, Nicolae Niculae, Mihaita-Iulian Pascu, Ionuţ Silviu Szép, Róbert Eugen Rodino, Steliana Int J Environ Res Public Health Article In general, the elaboration of the synthesis of water quality in Romania is based on the processing of a large volume of information coming from primary analytical data collected with a constant frequency by the organisms with a specific role in water quality monitoring. This study proposes a novel methodology for multi-criteria analysis aiming to evaluate the degradation state of lake ecosystems. The cornerstone of the newly presented methodology is a geographic information system (GIS) automated tool, involving the assessment of potential degradation sources affecting the watershed that supply the lakes with water. The methodology was tested by performing an analysis on 30 lakes in Romania. The lakes belong to different geographical areas, owing various natural specific conditions and were selected to fit to various types and specific local conditions. The calculation of the WRASTIC-HI (Wastewater–Recreation–Agriculture–Size–Transportation–Industry–Cover–Hazard Index) revealed that, out of 30 lake ecosystems selected as the case study, two lakes were fully degraded, 24 lakes were semi-degraded, and four were in a natural state. The four lakes characterised by a natural state are located in mountainous regions or in the Danube Delta. The results obtained on the selected lakes proved that the proposed index calculation corresponded in all case studies to the real field situation, highlighting thus the accuracy of the assessing process and increased advantages of the assessment’s automation. MDPI 2021-05-31 /pmc/articles/PMC8198268/ /pubmed/34072948 http://dx.doi.org/10.3390/ijerph18115915 Text en © 2021 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
Avram, Sorin
Cipu, Corina
Corpade, Ana-Maria
Gheorghe, Carmen Adriana
Manta, Nicolae
Niculae, Mihaita-Iulian
Pascu, Ionuţ Silviu
Szép, Róbert Eugen
Rodino, Steliana
GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title_full GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title_fullStr GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title_full_unstemmed GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title_short GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania
title_sort gis-based multi-criteria analysis method for assessment of lake ecosystems degradation—case study in romania
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198268/
https://www.ncbi.nlm.nih.gov/pubmed/34072948
http://dx.doi.org/10.3390/ijerph18115915
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