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Geochemical and mineralogical datasets on waters and stream precipitates from an abandoned mining site: Montevecchio-Ingurtosu district, Rio Irvi (SW Sardinia).
Rigonat, Nicola; Podda, Francesca; De Giudici, Giovanni; Medas, Daniela.
Afiliação
  • Rigonat N; Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, Blocco A, S.S. 554 bivio per Sestu, 09042, Monserrato (CA), Italy.
  • Podda F; Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, Blocco A, S.S. 554 bivio per Sestu, 09042, Monserrato (CA), Italy.
  • De Giudici G; Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, Blocco A, S.S. 554 bivio per Sestu, 09042, Monserrato (CA), Italy.
  • Medas D; Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, Blocco A, S.S. 554 bivio per Sestu, 09042, Monserrato (CA), Italy.
Data Brief ; 24: 103951, 2019 Jun.
Article em En | MEDLINE | ID: mdl-31080863
ABSTRACT
Geochemical modelling data and Powder X-Ray Diffraction data on samples collected along Rio Irvi (Montevecchio-Ingurtosu mining district, SW Sardinia, Italy) are reported in this paper. The data show the results of data processing to calculate water chemical speciation of ions and saturation indices of relevant mineral phases. These data are related with the research article De Giudici G. et al (2018), Application of hydrologic-tracer techniques to the Casargiu adit and Rio Irvi (SW-Sardinia, Italy) Using enhanced natural attenuation to reduce extreme metal loads, Applied Geochemistry, vol.96, 42-54. The comparison of the calculated saturation indices of relevant Fe-bearing phases with the PXRD data of samples collected along the stream confirm the quality of the SI dataset and the good correlation between the calculations and the observed data. The comparison of this dataset with others can help to deeper understand and quantify the impact of past and current mining activity on water bodies, contributing to implement the scientific background for the application of remediation actions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália