Hydrological Dataset for Ganges Basin

Published: 2 December 2024| Version 1 | DOI: 10.17632/sx4m6tdwb7.1
Contributor:
abu sufian

Description

This dataset contains high-resolution hydrological and sediment transport data collected from the Ganges River Basin between 2000 and 2022. Key variables include water level, discharge, sediment concentration, precipitation, and temperature. The data is sourced from multiple monitoring stations, including Bokulpur Ghat, Hardinge Bridge, and Rajbari, and has undergone rigorous validation by the Bangladesh Water Development Board (BWDB), ensuring its reliability. The dataset is well-suited for hydrodynamic modelling, Bayesian analysis, and sustainable river basin management studies.

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Steps to reproduce

Steps to Reproduce 1. Data Collection: • Sediment and hydrological data were collected from three monitoring stations: Bokulpur Ghat, Hardinge Bridge, and Rajbari. • Sediment samples were gathered using a Van Veen Grab Sampler at each location. • Hydrological variables, including water level and discharge, were measured using standard river monitoring equipment. 2. Data Processing: • Grain size distribution was analyzed using sieve and settling velocity methods. • Precipitation and temperature data were aggregated from meteorological stations in the Ganges River Basin. 3. Data Validation: • All data were reviewed and validated by the Bangladesh Water Development Board (BWDB) for accuracy and consistency. 4. Data Integration: • Raw data from sediment and hydrological observations were compiled and merged into a unified dataset using Python and Excel. • Anomalies and missing values were addressed using interpolation techniques where necessary. 5. Data Storage: • The dataset was formatted as CSV and XLS files for easy accessibility and analysis. Additional Notes • To reproduce the sediment sampling, refer to standard sediment sampling procedures provided by BWDB or relevant scientific guidelines. • For hydrological data collection, use automated or manual gauging methods recommended for riverine environments.

Categories

Environmental Science, Hydrology, Data Science, Climate, Water Resource Management, Resource Management, Environmental Geoscience

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