High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022

Version 1.1
High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022
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]
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Description

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 measurements were performed at 5 locations in the Saigon river branch and at 2 locations in the Dong Nai river branch between October 21st, 2022 and December 16th, 2022.

We performed barometric compensation, identify and correct of out-of-water instances using temperature and pressure readings and quadratic interpolation. Discharge measurements were performed at 2 locations in the Saigon river and 1 location in the Dong Nai river. We use the free, open-source QrevInt software for post-processing and quality control and obtain mean discharge, mean width and mean river cross-section. The uncertainty in discharge is computed using the OURSIN framework.

(2023-03-15)
Subject Earth and Environmental Sciences
Keyword Tropical Tidal river, Tropical estuary, Urban estuary, Vietnam
Related Publication Francisco Rodrigues do Amaral, Tin Nguyen Trung, Thierry Pellarin and Nicolas Gratiot. (2023) "Datasets of high-resolution water level and discharge from the Saigon-Dong Nai estuary system impacted by a developing megacity, Ho Chi Minh City - Vietnam", Data in Brief, 48. Elsevier BV. doi: 10.1016/j.dib.2023.109147
Notes

Data are provided in raw (sensor output .hobo files), pre-processed (barometric compensation) and post-processed (corrected and normalized data) form.

This study has been conducted under the framework of CARE-RESCIF initiative and partnership with the Institut des Géosciences de l’Environnement (IGE). The data acquisition was partially funded by the IDEX Université Grenoble Alpes via the international mobility grant 2022.

Data type: Observational data
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0_Saigon-DongNai_estuary_Dataset_citation.txt
Saigon-DongNai_estuary/Plain Text - 1.2 KB
Published Mar 16, 2023
44 Downloads
MD5: d3d392cfa5336edde097431134eec031
Dataset citation and description
Documentation
0_Saigon-DongNai_estuary_READ-ME.pdf
0_Saigon-DongNai_estuary_READ-ME.pdf
Saigon-DongNai_estuary/Adobe PDF - 2.5 MB
Published Mar 16, 2023
49 Downloads
MD5: 4c527fbc7689f29e83b0ca454867223a
All information about the data, its levels of processing and file identification is presented here.
Documentation
Cu-Chi-air.tab
Saigon-DongNai_estuary/Cu-Chi/Air-pressure/Tabular Data - 680.0 KB
Published Mar 16, 2023
38 Downloads
3 Variables, 20481 Observations UNF:6:pcdoU9f6hdv6v5rmSp5fGQ==
Air pressure time series at the Cu Chi location. Used for barometric compensation of water level measurements.
DataTime Series
Cu-Chi-post.tab
Saigon-DongNai_estuary/Cu-Chi/Water-level/Tabular Data - 993.6 KB
Published Mar 16, 2023
38 Downloads
2 Variables, 25633 Observations UNF:6:moUGxR4McYueAHcSGAc/3Q==
DataTime Series
Cu-Chi-pre.tab
Saigon-DongNai_estuary/Cu-Chi/Water-level/Tabular Data - 1020.7 KB
Published Mar 16, 2023
37 Downloads
4 Variables, 25633 Observations UNF:6:aUrsoDlTTLL8GLSiIi+/2g==
DataTime Series
Cu-Chi-raw_09-2022_10-2022.hobo
Saigon-DongNai_estuary/Cu-Chi/Water-level/Unknown - 23.3 KB
Published Mar 16, 2023
36 Downloads
MD5: f3031f5487c6abdaa0ada3b8230b4925
HOBOware Pro software file
Data
Cu-Chi-raw_10-2022_11-2022.hobo
Saigon-DongNai_estuary/Cu-Chi/Water-level/Unknown - 23.3 KB
Published Mar 16, 2023
36 Downloads
MD5: aa0ac41cbd4ec5738beb5cb3a28c2a8a
HOBOware Pro software file
Data
Cu-Chi-raw_11-2022_12-2022.hobo
Saigon-DongNai_estuary/Cu-Chi/Water-level/Unknown - 30.1 KB
Published Mar 16, 2023
36 Downloads
MD5: 4494f2f0d4d634f76053c4404a873fa0
HOBOware Pro software file
Data
HOBO1-ADCP-1.tab
Saigon-DongNai_estuary/HOBO1/Discharge/Tabular Data - 2.5 KB
Published Mar 16, 2023
37 Downloads
6 Variables, 25 Observations UNF:6:7fVwA3RvadIVcMXwsW65xw==
DataTime Series
HOBO1-ADCP-2.tab
Saigon-DongNai_estuary/HOBO1/Discharge/Tabular Data - 2.2 KB
Published Mar 16, 2023
37 Downloads
6 Variables, 23 Observations UNF:6:DbZsGE2DhEzVi9oa80/JOQ==
DataTime Series
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