Quantification of Pollutants in Mining Ponds Using a Combination of LiDAR and Geochemical Methods—Mining District of Hiendelaencina, Guadalajara (Spain)

Quantification of Pollutants in Mining Ponds Using a Combination of LiDAR and Geochemical Methods—Mining District of Hiendelaencina, Guadalajara (Spain)

More than twenty years after the last mining operations were completed in the Hiendelaencina Mining District, it is necessary to carry out a geochemical characterisation of the tailings stored in two contiguous mine ponds. Both have significant amounts of quartz, siderite, barite and muscovite and s...

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Bibliographic Details
Main Authors: Tomás Martín-Crespo, David Gomez-Ortiz, Vladyslava Pryimak, Silvia Martín-Velázquez, Inmaculada Rodríguez-Santalla, Nikoletta Ropero-Szymañska, Cristina de Ignacio-San José
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
mine tailings
geochemistry
LiDAR data
hazardous heavy metals
quantification
Hiendelaencina (Spain)
Online Access:https://www.mdpi.com/2072-4292/15/5/1423

Internet

https://www.mdpi.com/2072-4292/15/5/1423

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