| |
Author |
Title |
Year |
Publication |
Volume  |
Pages |
Links |
|
|
Smedley, P.L.; Kinniburgh, D.G. |
Uranium in natural waters and the environment: Distribution, speciation and impact |
2023 |
Applied Geochemistry |
148 |
105534 |
|
|
|
Qiu, W.; Yang, Y.; Song, J.; Que, W.; Liu, Z.; Weng, H.; Wu, J.; Wu, J. |
What chemical reaction dominates the CO2 and O2 in-situ uranium leaching?: Insights from a three-dimensional multicomponent reactive transport model at the field scale |
2023 |
Applied Geochemistry |
148 |
105522 |
|
|
|
Jing, M.; Kumar, R.; Attinger, S.; Li, Q.; Lu, C.; Heße, F. |
Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking |
2021 |
Advances in Water Resources |
149 |
103849 |
|
|
|
Merembayev, T.; Yunussov, R.; Yedilkhan, A. |
Machine Learning Algorithms for Stratigraphy Classification on Uranium Deposits |
2019 |
Procedia Computer Science |
150 |
46-52 |
|
|
|
Tan, K.; Li, C.; Liu, J.; Qu, H.; Xia, L.; Hu, Y.; Li, Y. |
A novel method using a complex surfactant for in-situ leaching of low permeable sandstone uranium deposits |
2014 |
Hydrometallurgy |
150 |
99-106 |
|
