Literature DB >> 31521937

Photosynthetic pigments in acid mine drainage: Seasonal patterns and associations with stressful abiotic characteristics.

Patrícia Gomes1, Teresa Valente2, Dulce Geraldo3, Catarina Ribeiro3.   

Abstract

Acid mine drainage represents an extreme type of water pollution. The environments develop especial hydrochemical and ecological characteristics, such as high concentrations of acidity and low biodiversity, with dominance of acidophilic organisms. Ecological criteria are assuming increasing relevance for assessing water quality, including in acid mine drainage-affected systems. Photosynthetic pigments, like chlorophyll, could be considered in this context as they are generally used to estimate phytoplankton biomass. The present work was focused on acid mine drainage and their relationships with chlorophyll a. It was developed in the historic mine of São Domingos (Iberian Pyrite Belt, SW Europe). The methodological approach comprised two sampling campaigns (October and February) to represent seasonal behaviour. The diversity of hydrological conditions was also considered through sampling sites established in the pit lake, acidic lagoons and affected stream. Hydrochemistry and chlorophyll a were analysed. The obtained results revealed very low pH values, with a minimum of 2.1. In general, hydrochemistry indicates higher concentrations of pollutants in summer. One of the sampling point, located in an acidic lagoon, stood out by highest concentrations, presenting maximum of sulfate (6564 mg/L), As (6.26 mg/L), and metals like Al (675 mg/L), Cd (1,30 mg/L), Zn (199 mg/L). These highest concentrations coincided with the maximum concentration of chlorophyll a (113 μg/L). The results suggested that the more contaminated the environment, more chlorophyll a was produced. Factor analyses emphasised the relationships between acid drainage properties and the photosynthetic activity, indicating a strong pH dependency of chlorophyll a production.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acid mine drainage (AMD); Chlorophyll a; Indicators; Photosynthetic pigments; pH-dependency

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Year:  2019        PMID: 31521937     DOI: 10.1016/j.chemosphere.2019.124774

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF.

Authors:  José Roberto Lomelí-Huerta; Juan Pablo Rivera-Caicedo; Miguel De-la-Torre; Brenda Acevedo-Juárez; Jushiro Cepeda-Morales; Himer Avila-George
Journal:  PeerJ Comput Sci       Date:  2022-05-13
  1 in total

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