Sequential extraction to assess arsenic mobility in sediments affected by acid mine drainage

Author(s):  
R Veloso ◽  
J de Mello ◽  
S Glasauer
Author(s):  
Edward D. Burton ◽  
Niloofar Karimian ◽  
Scott G. Johnston ◽  
Valerie A. Schoepfer ◽  
Girish Choppala ◽  
...  

Chemosphere ◽  
2022 ◽  
pp. 133605
Author(s):  
Shuang Chen ◽  
Chipeng Zhang ◽  
Lijuan Qiu ◽  
Qingguang Li ◽  
Kaixuan Zhang ◽  
...  

2020 ◽  
Vol 399 ◽  
pp. 122844 ◽  
Author(s):  
Carlito Baltazar Tabelin ◽  
Ryan D. Corpuz ◽  
Toshifumi Igarashi ◽  
Mylah Villacorte-Tabelin ◽  
Richard Diaz Alorro ◽  
...  

Minerals ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 403 ◽  
Author(s):  
Shinji Matsumoto ◽  
Hirotaka Ishimatsu ◽  
Hideki Shimada ◽  
Takashi Sasaoka ◽  
Ginting Kusuma

Characterization of mine waste rocks and prediction of acid mine drainage (AMD) play an important role in preventing AMD. Although high-tech analytical methods have been highlighted for mineral characterization and quantification, simple testing methods are still practical ways to perform in a field laboratory in mines. Thus, this study applied some simple testing methods to the characterization of mine wastes and AMD prediction in addition to a leaching test and the sequential extraction test with HCl, HF, and HNO3, which have not been applied for these purposes, focusing on the form of sulfur and the neutralization effects of carbonates. The results of the Acid Buffering Characteristic Curve test supported the changing trend of the pH attributing carbonates only during the first 10 leaching cycles in the leaching test. The change in the Net Acid Generating (NAG) pH in the sequential NAG test reflected the solubility of sulfur in the rocks, providing information on the form of sulfur in the rocks and the acid-producing potential over time. Consequently, the sequential NAG test and sequential extraction with the acids in combination with the current standards tests (Acid Base Accounting and NAG tests) provided important information for preventing AMD.


2021 ◽  
Vol 168 ◽  
pp. 106827
Author(s):  
Yan Wang ◽  
Aaron Noble ◽  
Christopher Vass ◽  
Paul Ziemkiewicz

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