Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022
https://doi.org/10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb
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Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom mounted floats). Wave heights and energy were measured using RBRSolo3 D | wave sensors. Water depth in front of embankments were measured using a Garmin Aquamap device. Sediment properties were also gathered at each hydrodynamic sensor deployment. The purpose of the survey was to determine the level of hydrological forcing around the island, to provide guidance on coastal flood and erosion protection planning.
Publication date: 2026-05-29
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Formats
Comma-separated values (CSV), gpkg
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2022-07-01 to 2022-08-31
Temporal resolution
sub-minute
Provenance & quality
Data to assess erosion and flood risk along Kumirmari island, Indian GBM delta, was gathered at eastern (22°12′43″N , 088°57′20″E), southern (22°10′40″N , 088°55′55″E), and western (22°12′15″N , 088°54′50″E) sites.
Acceleration
B4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.
Wave parameters
An RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.
Water depth
A Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather.
Soil parameters
Soil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.
Coordinates
Coordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.
Mean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.
No processing was done to the wave parameter, water depth, or coordinate data.
Acceleration
B4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.
Wave parameters
An RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.
Water depth
A Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather.
Soil parameters
Soil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.
Coordinates
Coordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.
Mean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.
No processing was done to the wave parameter, water depth, or coordinate data.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence 
Cite this dataset as:
Ladd, C.; Banerjee, S.; Balke, T.; Chanda, A.; Ghosh, T. (2026). Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb
Supplemental information
This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.
Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration.
Correspondence/contact details
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
Newcastle University