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Spatio-temporal geostatistical modelling of sulphate concentration in the area of the Reocín Mine (Spain) as an indicator of water quality

Abstract: Water stored in open-pit lakes can be a water resource when the mine is closed. This study aimed to develop a reliable model to evaluate the water quality, based on the sulphate concentration, in the Reocín Mine area (Spain) by using geostatistical algo rithms. To this end, water samples were taken from the beginning of the flooding period in November 2004 until August 2020. The model showed that the sulphate concentration was highest between February 2009 and February 2012 and decreased as the flooding process progressed. The area with the highest concentration (2000 mg L-1) was the central part of the study area, where the mine is located, while in the northeast and southwest, the values from the beginning of the flooding period were lower, below 500 mg L-1. In the last obtained model, the values decreased considerably to 1300 mg L-1 in the central area and below 250 mg L-1 in the northeast and southwest areas. The modelling conducted to assess the water quality in the area of influence of the mine determined that the flooding process has little influence on the water in the rivers and streams in the area, since the sulphate concentration measured in the adjacent rivers and streams was less than 250 mg L-1, indicating that anomalous concentrations were only found in the open-pit area. It was shown that geostatistical algorithms are useful tools that can be used to model the intensity and extension of water pollutants in space over time.

 Autoría: Barral N., Maleki M., Madani N., Cánovas M., Husillos R., Castillo E.,

 Fuente: Environmental Science and Pollution Research, 2022, 29(57), 86077-86091

 Editorial: Springer Science + Business Media

 Fecha de publicación: 01/12/2022

 Nº de páginas: 15

 Tipo de publicación: Artículo de Revista

 DOI: 10.1007/s11356-021-16475-w

 ISSN: 0944-1344,1614-7499

 Url de la publicación: https://doi.org/10.1007/s11356-021-16475-w