|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Jroundi, F.; Povedano-Priego, C.; Pinel-Cabello, M.; Descostes, M.; Grizard, P.; Purevsan, B.; Merroun, M.L. |
Evidence of microbial activity in a uranium roll-front deposit: Unlocking their potential role as bioenhancers of the ore genesis |
2023 |
Science of The Total Environment |
861 |
160636 |
|
|
Liu, Z.; Li, C.; Tan, K.; Li, Y.; Tan, W.; Li, X.; Zhang, C.; Meng, S.; Liu, L. |
Study of natural attenuation after acid in situ leaching of uranium mines using isotope fractionation and geochemical data |
2023 |
Science of The Total Environment |
865 |
161033 |
|
|
Musy, S.; Purtschert, R. |
Reviewing 39Ar and 37Ar underground production in shallow depths with implications for groundwater dating |
2023 |
Science of The Total Environment |
884 |
163868 |
|
|
Tisherman, R.A.; Rossi, R.J.; Shonkoff, S.B.C.; DiGiulio, D.C. |
Groundwater uranium contamination from produced water disposal to unlined ponds in the San Joaquin Valley |
2023 |
Science of The Total Environment |
904 |
166937 |
|
|
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 |
|
|
Aderemi, B.A.; Olwal, T.O.; Ndambuki, J.M.; Rwanga, S.S. |
Groundwater levels forecasting using machine learning models: A case study of the groundwater region 10 at Karst Belt, South Africa |
2023 |
Systems and Soft Computing |
5 |
200049 |
|