The characteristic properties of waste rock piles in terms of metal leaching-Reference-Cited by-同舟云学术

The characteristic properties of waste rock piles in terms of metal leaching

Published:2019-10 Issue: Volume:226 Page:103540
ISSN:0169-7722
Container-title:Journal of Contaminant Hydrology
language:en
Short-container-title:Journal of Contaminant Hydrology

Author:

Liu Zhong-Sheng,Huang Cheng,Ma Liang,Dy Eben,Xie Zhong,Tufa Kidus,Fisher Elizabeth A.,Zhou James,Morin Kevin,Aziz Mike,Meints Cody,O'Kane Mike,Tallon Lindsay

Publisher

Elsevier BV

Subject

Water Science and Technology,Environmental Chemistry

Reference23 articles.

1. Effects of contact angle on fingered flow during non-ponding infiltration into dry sand layers;Annaka;Soil Sci. Plant Nutr.,2010

2. Kinetics of gravity-driven water channels under steady rainfall;Cesare;Phys. Rev. E,2014

3. The role of microorganisms in acid mine drainage: a preliminary report;Colmer;Science,1947

4. Modeling multiphase reactive transport in a waste rock pile with convective oxygen supply;da Silva;Vadose Zone J.,2009

5. Numerical modelling of flow and capillary barrier effects in unsaturated waste rock piles;Fala;Mine Water Environ.,2005

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