Literature DB >> 32339839

Assessment of water quality in eutrophized water bodies through the application of indexes and toxicity.

Carolina Acuña-Alonso1, Xana Álvarez2, Olalla Lorenzo3, Ángeles Cancela4, Enrique Valero5, Ángel Sánchez6.   

Abstract

It is essential to have tools that can be used to diagnose water resources. For this reason, this study sets out on the one hand to assess water quality in three reservoirs in Spain (Salas, A Baxe and Conchas) with Cyano-Habs problems through the application of water quality indexes: The National Sanitation Foundation Water Quality Index (NFSWQI), the General Quality Index (GQI), the Trophic State Index (TSI), and the Trophic Contamination Index (ICOTRO). On the other hand, it seeks to learn how parameters such as nitrogen and phosphorus influence the presence of cyanotoxin, specifically Microcystis aeruginosa. To that end, samples from the three reservoirs are cultured and physical-chemical parameters and the toxicity of the water are measured. The results show that Salas reservoir has the worst water quality rating (GQI is bad and NFSWQI medium), while As Conchas and A Baxe obtain very good figures for NFSWQI. This contrasts with the data obtained via the TSI of moderately eutrophic conditions for all three reservoirs, and hypereutrophic levels for As Conchas and A Baxe downstream. On the other hand, the toxicity analysis shows levels of 1.12 ± 0.06 μg/l microcystin-LR (MC-LR) for As Conchas, 0.64 ± 0.04 μg/l MC-LR for Salas, and 1.24 ± 0.05 μg/l MC-LR for A Baxe, of which 20% corresponds to free MC-LR. This study finds that nitrogen is the parameter that most favors the production of MC-LR. We conclude that the eutrophication indexes are more reliable when studying the presence of cyanobacteria. Furthermore, nitrogen and phosphorous are the most significant parameters in this regard. They are taken into account in the quality indices (GQI, NFSWI), but they are not sufficiently representative. It is recommended as a future line of research that water quality indices be adapted or designed to incorporate eutrophication levels and even water toxicity.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Cyanobacteria; Microcystin; Microcystis sp; Nitrogen; Water quality index

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Year:  2020        PMID: 32339839     DOI: 10.1016/j.scitotenv.2020.138775

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  A novel dissolved oxygen prediction model based on enhanced semi-naive Bayes for ocean ranches in northeast China.

Authors:  Jiajun Sun; Dashe Li; Deming Fan
Journal:  PeerJ Comput Sci       Date:  2021-06-11
  1 in total

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