| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Wang, B.; Luo, Y.; Qian, J.-zhong; Liu, J.-hui; Li, X.; Zhang, Y.-hong; Chen, Q.-qian; Li, L.-yao; Liang, D.-ye; Huang, J. |
Machine learning–based optimal design of the in-situ leaching process parameter (ISLPP) for the acid in-situ leaching of uranium |
2023 |
Journal of Hydrology |
626 |
130234 |
|
|
|
Zeng, S.; Song, J.; Sun, B.; Wang, F.; Ye, W.; Shen, Y.; Li, H. |
Seepage characteristics of the leaching solution during in situ leaching of uranium |
2023 |
Nuclear Engineering and Technology |
55 |
566-574 |
|
|
|
Hu, K.; Wang, Q.; Tao, G.; Wang, A.; Ding, D. |
Experimental Study on Restoration of Polluted Groundwater from in Situ Leaching Uranium Mining with Sulfate Reducing Bacteria and ZVI-SRB |
2011 |
Procedia Earth and Planetary Science |
2 |
150-155 |
|
|
|
Puri, S. |
Chapter 9 – Transboundary aquifers: a shared subsurface asset, in urgent need of sound governance |
2021 |
Global Groundwater |
|
113-128 |
|
|
|
Pham, H.C.; Alila, Y. |
Science of forests and floods: The quantum leap forward needed, literally and metaphorically |
2024 |
Science of The Total Environment |
912 |
169646 |
|
