The document outlines the hydrological research and activities conducted by Amaljit Bharali, a research scientist at NER-DRR, focusing on flood early warning systems, hydrological modeling, and watershed management. Key projects include the development of flood zonation databases, urban flood modeling in Guwahati, and integration of advanced hydrological models to enhance flood forecasting. The document also details the success rates of flood alerts issued and the plans for future automation and modeling improvements.

1. Amaljit Bharali
Research Scientist(Hydrology)
NER-DRR

2.  Primarily engaged in Hydrology and Watershed related
activities, Hydrological and Hydraulic modelling of river
systems
 NESAC Activities till now:

3. 3
 Flood Early Warning Systems (FLEWS) Project Works
 Post FLEWS Field survey of major flood prone rivers in Assam
 NER-DRR Centralized Infrastructure database preparation
 Development & Dissemination of web-based Spatial Decision
Support Systems (SDSSs) for FLOOD under NER-DRR programme
 SBIK Level 1 Flood Zonation database generation For North Eastern
States
Activities of 2014

4. 4
 Upgrading existing FLEWS parameters & procedure
◦ Correction of digital river database
◦ Preparation of LULC and Soil data for model preparation
◦ Catchment Delineation and model preparation using HEC-GeoHMS
◦ Correction to newly built HEC-HMS models
 Research & Development Activities
 Operational FLEWS activities
Activities of 2015

5.  River Systems digitized from high resolution imageries.
 DEM (SRTM 30M/SRTM 90M) filtered, hydrologically corrected,
digitized rivers burned and finally delineated.
 Manual correction of outlets, junctions and delineated sub-
basins.
 The main river routing model has been changed from
Muskingum to Muskingum-Cunge keeping in view its suitability
for Ungauged Catchments
 Consideration of Antecedent Moisture Content (AMC) to account
for rainfall variability during the flood season.
 Calibration of models with existing stage-discharge database

6. 1. LAND USE
 SBIK LULC 11-12 2nd cycle data
 LULC classes sliced down to 26 classes from 4 broad classes previously to
increase SCS Curve Number heterogeneity
Land
Forest
Water
Built-Up

7. 2. SOIL
• SBIK 250k Soil database
• The four main classes of soil A,B,C & D has been computed using
texture, drainage pattern and type of soil

8. 8

9. HEC-GeoHMS
Screen
HEC-HMS

11.  Urban/Flash Flood studies
◦ AOI - Shillong Urban,Guwahati
◦ Softwares – HEC-HMS, MIKE FLOOD, HEC-RAS, SWMM, FLO-2D
◦ Creation of the Guwahati Urban watershed model with inputs
from GMDA, ASDMA and IIT Guwahati
◦ Testing MIKE 21 two-dimensional module with complex
bathymetry
 Source Sinks pairs
 Building footprints
 Riverine Flooding study
◦ Lakhimpur - Ranganadi River, Goalpara – Krishnai, Dudhnoi
Rivers, Dhansiri River, Nagaland
 HEC-HMS accuracy test with available DEMs

12. Dhansiri_Nagaland
Shillong Wamukhra
Guwahati city -
Ganeshguri to Zoo

13. Guwahati Zoo Tiniali
Water Depth
0 - 0.01
0.01 - 0.2
0.2 - 0.45
0.45 - 0.68
0.68 - 0.93
0.93 - 1.75

14. FLOOD SIMULATION using MIKE 21 Hydraulic Model
Two-Dimensional Hydraulic Simulation
(Case study in Ranganadi river in Lakhimpur
District, Assam)
Simulation of
rainfall over
Guwahati using
Source & Sink pairs

16. Proposed locations of ARG stations for Guwahati on the
request of Assam State Disaster Management Authority
(ASDMA).

17. WRF Input
to the
HEC-HMS
Model
Heavy Rainfall
Forecast
FLOOD
ALERTComputed high discharge peak
ASDMA
Disaster
Control Room
District
Administratio
n
IMD
Alert
uploaded
in
ASDMA
website
(being
implementin
g agency)
Alert
Recipients

18. ABSOLUTE
SUCCESS
PARTIAL
SUCCESS
NO FLOOD
REPORTED
FLOOD
REPORTED
FLOOD
REPORTED
Validation
of issued
flood alerts
from
multisource
information
RISAT-1 HH Polarization
Post Alert Imagery
showing inundation

19.  Total no. of alerts
issued (till date) –
144
 Total no. of
absolute success –
89
 Total no. of partial
success – 43
 Total no. of failures
– 12 (including 2
alerts without
validation)
60%
32%
8%
Alerts Issued: 2014
Absolute
Success
Partial
Success
62%
30%
8%
Alerts Issued: 2015
Absolute
Success
Partial
Success
Failure

20.  Integration of combined MIKE NAM hydrologic model + MIKE 11
hydraulic model in FLEWS operational module to strengthen the
present hydrological analysis of FLEWS.
 Also Urban Flash flood Alert system can be started with MIKE
Urban Module/PCSWMM availability.
 Sediment transport and morphological modelling study
incorporation under NER-DRR.
 Automation of FLEWS for better decision support help. In the first
phase, automation of field data collection and alert
dissemination will be targeted.
 LIDAR DSM integration can be started after a pilot study which
we have taken up recently.
 Building flood forecasting models for all the flood prone states
of North-East.

21. MIKE FLOOD setup in Krishnai-Dudhnoi RiversInundation using MIKE FloodComparison with NRSC historic inundation dataVillages inundatedRC Level Inundation check

22. 3
2
1
Minor
River
Junction
Main Channel
Initial Flow Condition
y = 12.706x2 - 2158.4x + 91663
0
500
1000
1500
85 90 95
Rating Curve - Dikhow
Q
Poly. (Q)
Upstream
Boundary
Condition -
1 Upstream Boundary
Condition -2
Inundation
Check Site

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