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Hydrological and Erosion Modelling of the Brahmaputra Basin Using Global Datasets

7 pagesPublished: September 20, 2018


Limited hydro-meteorological and sediment data of the Brahmaputra basin is available and as a result, water resources management of the basin is a challenge. Advances in remote sensing provide opportunities to access alternative data, which can be used in characterising the basin. We present hydrological and erosion models of the basin developed using remotely sensed data. In particular a hydrological model using HEC-HMS was developed using the elevation data from the Shuttle Radar Topographic Mission (SRTM). The hydrology of the basin was simulated using rainfall data from the Tropical Rainfall Measuring Mission (TRMM). Evapotranspiration, temperature, soil and landuse were collected from remotely sensed data sources. The uncertainty in the model parameters due to the uncertainty of the downstream rating curve used in the calibration of the model was estimated. Another hydrological model using SWAT was also developed to simulate the erosion pattern in the basin. A hydraulic model of the Brahmaputra River was developed using HEC-RAS. Simulated flood maps were compared with satellite imageries. A conclusion was reached that the models are able to simulate the hydrological and hydraulic processes in the basin with reasonable accuracy. Due to the lack of data the erosion model could not be validated.

Keyphrases: Brahmaputra, flood map, Hydraulic modelling, hydrological modelling, remote sensing, sediment

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 245--251

BibTeX entry
  author    = {Biswa Bhattacharya and Crystal Conway and Dimitri Solomatine and Ilyas Masih and Joanne Craven and Liton Chandra Mazumder and Maurizio Mazzoleni and Reyne Ugay and Schalk Jan van Andel and Shreedeepy Shrestha},
  title     = {Hydrological and Erosion Modelling of the Brahmaputra Basin Using Global Datasets},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {245--251},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2516-2330},
  url       = {},
  doi       = {10.29007/1p2j}}
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