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ByS.P.Aggarwal, Ph.D, FIE
Indian Institute of Remote SensingISRO, Dept. of Space, Govt. of India
Dehra Dun Workshop on Modeling and Managing Floods in Mountain Areas, Sacramento, CA, USA. Feb 17-19,2015
Conceptual Framework of Early Flood Warning System in North West Himalaya of India
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North West Himalaya
• Uttarakhand
• Himachal Pradesh
• Jammu and Kashmir
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The Terrain
Mainly Hills and mountains Snow packed Mountains Deep valleys Steep slopes Soil depth..?
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Problems
Prone to disaster Floods/ flash floods ( Cloud Burst) Landslides Earthquake ( Zone 4 and 5)
Recent flood disaster Kedarnath flood (June 2013)
Heavy rain (400+ mm rain in 48 hrs) Lake outburst >5000 people lost their livesEarly warning system…?
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Kedarnath disaster….Lessons learned…!
• Communication• No one was aware • Mobile towers were destroyed, no power
• Real time information• Extent• Damage• Road connectivity
• Day to day monitoring• Alternatives routes for rescue and relief• Forecasting and prediction….
operationalization thru…..
EARLY WARNING SYSTEM
Rambara after disaster
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Map the Neighbourhood in Uttarakhand (MANU)
Collaborative project initiated by DST, Govt. of India to crowd-source the extent of damage, assess the effects on eco-system and assist in reconstruction and rehabilitation.
IIRS and NRSC (ISRO), WIHG, Garhwal Univ., Kumaun Univ. are the partner institutions in MANU programme
http://bhuvan3.nrsc.gov.in/projects/manu/manu.php
http://bhuvan3.nrsc.gov.in/projects/manu/manu.php
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Mobile Device with App
GPS
GPRS GPRS
Fire
wal
l
Internetusers
Internet
Bhuvan Portal
Server • Multi-sensor time-series satellite data;
• Satellite data Download;
• Thematic Services;• User response and
discussions;• VGI data and
information;• Terrain profile and
other data and information services
Mobile Device with App
Primary Mode of Field Data Collection
Visualisation on Bhuvan @ Client end
MANU App on Bhuvan
http://www.777icons.com/libs/phone/signal_strength_3.htmhttp://www.777icons.com/libs/phone/signal_strength_3.htm
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1st Batch of Training Prog. : 27-29 September, 2013 2nd Bath of Training Prog. : 3-5 October, 2013
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More than 10,000 points were mapped
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Visualization in Bhuvan
Total points – 19,613 (till 19th February 2014)
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Disaster…….?
Can we stop…..? Can we predict…? Can we manage..….?
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Early Warning System (steps)
Prediction of heavy rainfall event Database for simulation LULC 3-D foot print map of houses/infrastructure Topography X-section Soil parameters
Hydro-met observation: field based Hydrological Simulation
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Field observations for River flow depth and transmission of data in real time Automatic weather stations with real time
transmission Doppler weather Radars
Satellite based observations Cloud Cover condition Wind vector Cloud top temperature OLR
Softwares Weather prediction Models (WRF model…) Hydrological models ( HEC HMS, HEC RAS, Mike 11/flood... )
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Digital Elevation Models, DEM (Cartosat, Aster, SRTM)
Land use Land Cover, LULC (Pre and post disaster)
Snow cover time series maps (AWIFS, MODIS)
SAR image during cloud cover High Resolution images (Pre and Post event) River Cross-sections (Pre and Post event) Precipitation (INSAT/Kalpana Rainfall, TRMM) Satellite communication Differential and normal GPS points for
elevation Integration of RS data in GIS Use of GIS tools for watershed and river
parameters estimation (ArcGIS based GeoHMS, GeoRAS, & MikeGIS)
Space inputs to Flood mapping, monitoring and modeling
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Early warning: Initial efforts
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Installation of AWS with telemetry system
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AWS: Network in Uttarakhand
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AWS from ISRO and IMD
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��� ������I���������������������By�S.P.Aggarwal, Ph.D, FIE�Indian Institute of Remote Sensing� ISRO, Dept. of Space, Govt. of India�Dehra Dun �Workshop on Modeling and Managing Floods in Mountain Areas, Sacramento, CA, USA. Feb 17-19,2015North West HimalayaThe TerrainProblemsKedarnath disaster….Lessons learned…!Slide Number 6Slide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Disaster…….?Early Warning System (steps)Early Warning System: RequirementsSpace inputs to Flood mapping, monitoring and modelingEarly warning: Initial effortsInstallation of AWS with telemetry systemAWS: Network in UttarakhandAWS from ISRO and IMDSlide Number 20Weather forecastingData & Study AreaMethodologyWRF Domain ConfigurationFlow Diagram for WRFSlide Number 27Slide Number 28Hydrological & Hydrodynamic ModellingHEC-HMS MethodologyStudy AreaHEC-HMS ModelHEC-HMS ResultsSlide Number 34Weather prediction modelsSlide Number 36Early Warning System: Concepts and future planSlide Number 38DiscussionSlide Number 40
