41 to 50 of 95 Results
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 34.0 MB - 72 Variables, 57552 Observations - UNF:6:EFAqBqNGNSXdAyNiRIs8gg==
Water discharge output [m^3/s] for the Saigon River from MAGE-Q. |
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:q+YVHgaDrIoTUyZPdHRfZw==
Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-HQ. |
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:ew3NLrYuV1j0g6EWdefTJQ==
Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-H. |
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:LTusVBtgq37fioxTtBLGhg==
Water level output [m] for the Saigon River from MAGE-HQ. |
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:VT20e9YPZehaB5jxvgDzrw==
Water level output [m] for the Saigon River from MAGE-H. |
May 13, 2024 -
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:NWdIiyKFgQqpWHvIbkgACw==
Water level output [m] for the Saigon River from MAGE-Q. |
Jun 20, 2023
Hachgenei, Nico; Nord, Guillaume; Spadini, Lorenzo; Ginot, Patrick; Voiron, Céline; Duwig, Céline, 2023, "Water transit time tracing model using wetness adaptive StorAge Selection functions", https://doi.org/10.57745/OT1IFB, Recherche Data Gouv
A model using StorAge Selection (SAS) functions in order to estimate water transit time distributions through a mesoscale catchment under Mediterranean climate, prone to flash floods. This dataset contains the model code, forcing data as well as results of a sensitivity analysis....This dataset is harvested from another repository. The link will take you directly to the source of the data. |
Jun 20, 2023
Hachgenei, Nico; Robinet, Nicolas; Baduel, Christine; Nord, Guillaume; Spadini, Lorenzo; Martins, Jean; Duwig, Céline, 2023, "Stream concentrations of micropollutants in the Claduègne, Ardèche", https://doi.org/10.57745/3D4DFW, Recherche Data Gouv
Stream concentrations of different organic micropollutants at different times and locations throughout the Claduègne catchment in Ardèche. The data include mainly human and veterinary pharmaceuticals. The analyzed molecules are: Atenolol, Bisoprolol, Caffeine, Carbamazepine, Ceti...This dataset is harvested from another repository. The link will take you directly to the source of the data. |
Mar 16, 2023
Rodrigues Do Amaral, Francisco; Nguyen, Trung Tin; Gratiot, Nicolas; Pellarin, Thierry, 2023, "High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022", https://doi.org/10.23708/NKQDNB, DataSuds, V1, UNF:6:mWcp4LMDvHYz+oaLv15f4w== [fileUNF]
Water level and discharge data contribute to environmental protection and help management agencies with a more reliable forecasting of river water levels and better decision making by researchers and policy makers regarding urban flooding and dam management. Water level measureme... |
Mar 16, 2023 -
High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022
Plain Text - 1.2 KB -
MD5: d3d392cfa5336edde097431134eec031
Dataset citation and description |
