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Prof. R. Jha NIT Rourkela, India

Prof. R. Jha NIT Rourkela, India. The study regions. Brahmaputra Basin Ganga Basin Bagmati Sub-Basin, Bihar of Ganga Basin. Methods used in the past. Proposed method.

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Prof. R. Jha NIT Rourkela, India

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  1. Prof. R. Jha NIT Rourkela, India

  2. The study regions Brahmaputra Basin Ganga Basin Bagmati Sub-Basin, Bihar of Ganga Basin

  3. Methods used in the past

  4. Proposed method Floodforecasting at Bagmati River Basin of Ganga Basin, India will be carried out using an artificial neuralnetwork (ANN) model, an adaptive neuro-fuzzy interference system (ANFIS) model,and an adaptive neuro-GA integrated system (ANGIS) model. Relative performancesof these models will also be compared. Initially the ANN modelis being developed and will then integrated with fuzzy logic todevelop an ANFIS model.

  5. Progress • Flow Data is being collected from Government of Bihar for Bgmti river basin. • Flow Data of key stations of Main Ganga river and Brahmputra river would be collected from shortly. • Precipitation data is being procured from Meteorological Department on payment basis for flood and drought studies (both). • All the map are being digitized in ArcGIS, which would be input to the model. • IRS-LISS II and PAN data is being procured and landuse map is being prepared using ERDAS 9.3 (latest version). • ANN model is being tested for some of the flood events. • The preliminary results and related documents would sent to Prof. Massimo shortly.

  6. Thank you all & sorry for not attending 1st Meeting of CEOP-AEGIS

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