Prof' R' Jha NIT Rourkela, India

1

• Prof. R. Jha
  NIT Rourkela, India

2
(No Transcript)
3
The study regions

• Brahmaputra Basin
• Ganga Basin
• Bagmati Sub-Basin, Bihar of Ganga Basin

4
(No Transcript)
5
(No Transcript)
6
(No Transcript)
7
(No Transcript)
8
(No Transcript)
9
(No Transcript)
10
(No Transcript)
11
(No Transcript)
12
(No Transcript)
13
Methods used in the past
14
(No Transcript)
15
(No Transcript)
16
Proposed method
Flood forecasting at Bagmati River Basin of Ganga
Basin, India will be carried out using an
artificial neural network (ANN) model, an
adaptive neuro-fuzzy interference system (ANFIS)
model, and an adaptive neuro-GA integrated system
(ANGIS) model. Relative performances of these
models will also be compared. Initially the ANN
model is being developed and will then integrated
with fuzzy logic to develop an ANFIS model.
17
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.

18
Thank you all sorry for not attending 1st
Meeting of CEOP-AEGIS