Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Version 1.0
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022
Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF]
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Description

This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with the Modified Manning-Strickler (MMS) equation is explored for discharge estimation enhancement. Calibration efforts reveal distinct trends in friction coefficients along the river, with the introduction of indirectly measured discharge data significantly improving model performance, particularly for the Saigon River branch.

This model output has been validated against independent measurements and demonstrates promising results, with the MMS coupling providing improved discharge estimates in the Saigon branch.

The long time-series of water level and discharge (January 2016 to December 2022) provided in this dataset have practical implications for water resource management and decision-making in estuarine systems and is provided here in open-access for operational use.

(2024-04-17)
Subject Earth and Environmental Sciences
Keyword tropical tidal river, 1D hydrodynamic model, water level, river discharge, Saigon river, Dongnai river
Related Publication Rodrigues do Amaral, F; Camenen, B.; Nguyen Trung, T.; Tran An, T.; Pellarin, T.; Gratiot, N. "Technical note: 1D hydrodynamic modeling of a meso-tidal river system: calibration and model coupling strategies in a data-scarce region". Submitted to HESS.
Notes

Model output data are provided in .tab format. The first column is the date and time (UTC). The following columns are the locations along the river. Each column header corresponds to the distance from the source (reservoir) in meters. The column values are the variables: water discharge (m^3/s) or water level (m) depending on the file. Please refer to the "1_READ_ME.pdf" file.

This study has been conducted under the framework of CARE-RESCIF initiative and partnership with the Institut des Géosciences de l’Environnement (IGE).

Data type: Model output.

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0_ReadMe.txt
Saigon_Dongnai_2016_2022/Plain Text - 1.5 KB
Published May 13, 2024
2 Downloads
MD5: 252fed996aee97b36f7db50c9fc0fa83
Dataset citation, description and terms of use.
Documentation
1_READ_ME.pdf
1_READ_ME.pdf
Saigon_Dongnai_2016_2022/Adobe PDF - 682.7 KB
Published May 13, 2024
3 Downloads
MD5: d8b9a465fafc4a734295415b94a2809a
Read me file with information about these model output data.
Documentation
Dongnai_discharge_MAGE-H.tab
Saigon_Dongnai_2016_2022/Tabular Data - 17.1 MB
Published May 13, 2024
1 Download
33 Variables, 57552 Observations UNF:6:Ox/FFyPvyto0vqjW+S2Rcw==
Water discharge output [m^3/s] for the Dongnai River from MAGE-H.
DataTime Series
Dongnai_discharge_MAGE-HQ.tab
Saigon_Dongnai_2016_2022/Tabular Data - 17.2 MB
Published May 13, 2024
1 Download
33 Variables, 57552 Observations UNF:6:dwNL6YzVN0aeWP+1I7IkNA==
Water discharge output [m^3/s] for the Dongnai River from MAGE-HQ.
DataTime Series
Dongnai_discharge_MAGE-Q.tab
Saigon_Dongnai_2016_2022/Tabular Data - 17.4 MB
Published May 13, 2024
1 Download
33 Variables, 57552 Observations UNF:6:z6amedsWBVpf9rrgw9JUZg==
Water discharge output [m^3/s] for the Dongnai River from MAGE-Q.
DataTime Series
Dongnai_discharge_MS-MAGE-H.tab
Saigon_Dongnai_2016_2022/Tabular Data - 5.2 MB
Published May 13, 2024
1 Download
5 Variables, 57551 Observations UNF:6:ha/1qEzMTbgnkKgpU6p8rw==
Water discharge output [m^3/s] for the Dongnai River from MS<-MAGE-H.
DataTime Series
Dongnai_discharge_MS-MAGE-HQ.tab
Saigon_Dongnai_2016_2022/Tabular Data - 5.2 MB
Published May 13, 2024
1 Download
5 Variables, 57551 Observations UNF:6:ugvNmMk5lTQu28LIA4vpzA==
Water discharge output [m^3/s] for the Dongnai River from MS<-MAGE-HQ.
DataTime Series
Dongnai_waterlevel_MAGE-H.tab
Saigon_Dongnai_2016_2022/Tabular Data - 11.8 MB
Published May 13, 2024
1 Download
34 Variables, 57552 Observations UNF:6:pnfgc1JfD7YVE1a+ZwzNYQ==
Water level output [m] for the Dongnai River from MAGE-H.
DataTime Series
Dongnai_waterlevel_MAGE-HQ.tab
Saigon_Dongnai_2016_2022/Tabular Data - 11.8 MB
Published May 13, 2024
1 Download
34 Variables, 57552 Observations UNF:6:FoV4F/vo5oscMCMQSTI5TQ==
Water level output [m] for the Dongnai River from MAGE-HQ.
DataTime Series
Dongnai_waterlevel_MAGE-Q.tab
Saigon_Dongnai_2016_2022/Tabular Data - 11.8 MB
Published May 13, 2024
1 Download
34 Variables, 57552 Observations UNF:6:j5T6Ivu3XFH4wvqUf/zWJA==
Water level output [m] for the Dongnai River from MAGE-Q.
DataTime Series
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