Stratification of Metal and Sulphate Loads in Acid Mine Drainage Receiving Water Dams – Variables Regionalization by Cluster Analysis

Grande, J. A.; Torre, M. L. de la; Valente, Teresa Maria Fernandes; Fernandez, Javier; Borrego, J.; Santistebán, M.; Cerón, J. C.; Sánchez-Rodas, Daniel

doi:10.2175/106143015x14212658614793

Cited by 12 publications

(6 citation statements)

References 43 publications

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“…These two biological variables were used as a summary in the total matrix of 118 diatom species. Cluster analysis has been widely used for the geochemical characterization of AMD media [11,42,43]. Cluster analysis is used to define a series of techniques, basically algorithms, whose objective is to find similar groups of items or variables (sampling points) that are grouped together in clusters.…”

Section: Methodsmentioning

confidence: 99%

Physico-Chemical Influence of Surface Water Contaminated by Acid Mine Drainage on the Populations of Diatoms in Dams (Iberian Pyrite Belt, SW Spain)

Rivera

Luís

Grande

et al. 2019

IJERPH

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Twenty-three water dams located in the Iberian Pyrite Belt were studied during March 2012 (early spring) in order to carry out an environmental assessment based on diatom communities and to define the relationships between these biological communities and the physico-chemical characteristics of the dam surface water. This is the first time that a diatom inventory has been done for dams affected by acid mine drainage (AMD) in the Spanish part of the Iberian Pyrite Belt (IPB). It was found that the pH was the main factor influencing the behaviour of the diatom communities. Then, using a dbRDA approach it was possible to organize the aggrupation of diatoms into four groups in response to the physico-chemical conditions of the ecosystem, especially pH: (1) Maris, Aac, Gos, Cmora (pH 2–3); (2) Andc, San, And, Dpin (pH 3–4.5); (3) Gran, Pleon, Oliv, Lagu, Chan, SilI, SilII, Joya, Gar, Agrio, Camp, Corum (pH 4.5–6); (4) Herr, Diq I, Diq II (pH 6–7). The obtained results confirmed the response of benthic diatom communities to changes in the physico-chemical characteristics of surface water, and helped to understand the role of diatoms as indicators of the degree of AMD contamination in those 23 dams. Special attention was given to those that have an acidophilic or acid-tolerant profile (pH 2–3 and pH 3–4.5) such as Pinnularia aljustrelica, Pinnularia acidophila, Pinnularia acoricola and Eunotia exigua, which are the two groups found in the most AMD contaminated dams.

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Section: Methodsmentioning

confidence: 99%

Physico-Chemical Influence of Surface Water Contaminated by Acid Mine Drainage on the Populations of Diatoms in Dams (Iberian Pyrite Belt, SW Spain)

Rivera

Luís

Grande

et al. 2019

IJERPH

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“…It is known that, according to Mondal et al, (2015), the stratification of the water column due to temperature variation is a seasonal phenomenon in lakes and reservoirs. The study by Grande et al, (2015), on stratification of Metallic and Sulfate Loads, carried out in Dams in the Iberian Pyritic Belt in southwestern Spain, showed that Fe and Mn concentrations increase in the deeper reservoir layer.…”

Section: Analysis Of Variancementioning

confidence: 99%

Análise da Influência de Fatores Climáticos na Concentração de Ferro e Manganês em Água Bruta Destinada a um Sistema de Tratamento de Água

Valentini

Santos²,

Franz³

et al. 2022

Rev. Bras. Geog. Fis.

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In surface water body sources intended for domestic system, iron and manganese concentrations has often been presented an increase in its values, it is recurrent during the warm seasons. As the chemical dynamic of water bodies is dependent on the environmental conditions, climatic aspects which affects temperature and dissolved oxygen in the water, will also affect the concentration and structure of these ions. Therefore, the present study aims to evaluate the influence of temperature and rainfall rates on the iron and manganese concentrations of the water source of the Water Treatment System -Terras Baixas, by using statistical methods, in a series of five years of data (2013 to 2017). The results of iron and manganese concentrations shows an increase during the hot seasons, and, through the statistical methods used, it was possible to conclude that, regarding temperature and rain factors, only temperature had a significant influence on these variables.

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“…The annual average rainfall value in the basin is 812 mm, 50% of which occurs betwe October and February (wet season) [38]. Although classical statistics is a useful methodology for modeling this type of system [22,27,28] by using tools such as Cluster Analysis, Factorial Analysis and Principal Component Analysis, Fuzzy Logic goes one step forward, allowing more information to be extracted from the same database. The reason for this is that classical statistics works by means of a binary system of "ON-OFF", "YES-NO" or "White-Black".…”

Section: Introductionmentioning

confidence: 99%

Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage

Dávila

Sarmiento

Aroba

et al. 2021

IJERPH

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The Odiel River Basin, located in the Iberian Pyrite Belt (IPB), is heavily affected by acid mine drainage (AMD), which occurs when pyritic minerals from sulfide mining areas are exposed to atmospheric, hydrological or biological weathering. This paper presents a hydrochemical characterization of parameters in the Odiel River Basin by means of Fuzzy Logic and data mining methodologies to determine the seasonal influence of AMD in polluted waters that have not been used before for a basin in this environmental area. This technique was proven to be effective, providing results that could not be achieved by using classic statistics, because it allows us to characterize the different parameters separately and also their relationships in waters affected by AMD in a qualitative manner based on the antecedents and according to the conditions (rules) imposed by the consequents (in this case, the Fe(II) and accumulated rainfall over 30 days). Thus, it was possible to confirm that hydrochemistry is greatly affected by seasonal changes, with a higher pH in the wet season (up to 8.59) compared to 2.12, the minimum pH value reached in the dry season. Accordingly, higher concentrations of most of the metals were observed in the dry season (e.g., up to 4000 mg/L of Fe (II)), with the exception of the values found after the first rains that occur in the early fall. With the use of the Fuzzy Logic technique, it was observed that, during the wet season, lixiviates with a higher Fe content have higher metal concentrations, and in the dry season, the behavior is the opposite.

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Stratification of Metal and Sulphate Loads in Acid Mine Drainage Receiving Water Dams – Variables Regionalization by Cluster Analysis

Cited by 12 publications

References 43 publications

Physico-Chemical Influence of Surface Water Contaminated by Acid Mine Drainage on the Populations of Diatoms in Dams (Iberian Pyrite Belt, SW Spain)

Physico-Chemical Influence of Surface Water Contaminated by Acid Mine Drainage on the Populations of Diatoms in Dams (Iberian Pyrite Belt, SW Spain)

Análise da Influência de Fatores Climáticos na Concentração de Ferro e Manganês em Água Bruta Destinada a um Sistema de Tratamento de Água

Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage

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