Prediction of acidity in streams affected by mine drainage

Daeryong Park; Byungtae Park; Justin J. Mendinsky; Benjaphon Paksuchon; Ratda Suhataikul; Brian A. Dempsey

doi:10.1246/cl.130525

Prediction of acidity in streams affected by mine drainage

Daeryong Park, Byungtae Park, Justin J. Mendinsky, Benjaphon Paksuchon, Ratda Suhataikul, Brian A. Dempsey

Research output: Contribution to journal › Article › peer-review

Abstract

Prediction of total acidity can be used in lieu of measured acidity and for quality assurance purposes. In order to test the accuracy of the prediction methods, we compared the measured hot peroxide acidity values (E1) by three methods (E2, E3, and E4) of predicting total acidity. This study showed that improved prediction of total acidity can be achieved by considering the effects of pH on aluminum hydrolysis and sulfate speciation with respect to water quality.

Original language	English (US)
Pages (from-to)	1143-1145
Number of pages	3
Journal	Chemistry Letters
Volume	42
Issue number	10
DOIs	https://doi.org/10.1246/cl.130525
State	Published - 2013

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Chemistry(all)

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10.1246/cl.130525

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AU - Park, Daeryong

AU - Park, Byungtae

AU - Mendinsky, Justin J.

AU - Paksuchon, Benjaphon

AU - Suhataikul, Ratda

AU - Dempsey, Brian A.

PY - 2013

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AB - Prediction of total acidity can be used in lieu of measured acidity and for quality assurance purposes. In order to test the accuracy of the prediction methods, we compared the measured hot peroxide acidity values (E1) by three methods (E2, E3, and E4) of predicting total acidity. This study showed that improved prediction of total acidity can be achieved by considering the effects of pH on aluminum hydrolysis and sulfate speciation with respect to water quality.

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JF - Chemistry Letters

IS - 10

ER -

Prediction of acidity in streams affected by mine drainage

Abstract

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