2014 15th Esri India User Conference 2014

2014

15th Esri India User Conference 2014 Geo-Enabling Digital India

ArcGIS Server Based Storm Surge Forecast by INCOIS Cyclonic Storm ‘HudHud’ N. Kiran Kumar ,Scientist Indian National Centre for Ocean Information Services (INCOIS) Earth System Science Organisation (ESSO), Ministry of Earth Sciences Govt. of India

2014 Geo-Enabling Digital India

Agenda

• Introduction to ArcGIS for Storm Surge Forecast • Standard Operating Procedure • Role of ArcGIS for Inputs and Outputs generation • Operational Storm Surge Warnings & Dissemination • Demonstration • Conclusion

2014

2014

Geo-Enabling Digital India

Introduction to ArcGIS for Storm Surge Forecast •

Performs geographic data analysis, data processing & conversions, data management Storm Surge Monitoring System Decision Support Module Prediction of storm surge and extent of inundation Generation of Cyclone Tracks Generation of Probabilistic Tracks Automatic Generation of Surge Maps, Inundation Maps, Symbology Layers, etc.

ArcGIS Tools Used: ArcGIS Server Advanced Edition with Adobe Flex & JavaScript APIs Arc Engine with Java SDK Arc Python ArcMap Batch/ Shell Scripts Java Swings ArcSDE


2014

ArcGIS Server for Storm Surge Forecast


Performs

geographic data analysis, data processing &

conversions, data management Configure maps  Adjust scale dependencies

and def queries

 Validate label expressions  Publish basemaps

and operational layers

Create Database, Python, Batch/ Shell Scripts  Set

source / target

 Schedule

scripts  Stores & performs conversion to the data


ArcGIS Server for Storm Surge Forecast

ArcGIS Tools Used:



ArcGIS Server Advanced Edition with Adobe Flex & JavaScript APIs

Arc Engine with Java SDK  Arc Python 

ArcMap  Batch/ Shell Scripts 

 

ArcSDE Adobe Flex Builder, Eclipse

Storm Surge Warning SOP Flow Chart


IMDannounces announces IMD thecyclonic cyclonic the information information

Createbest best Create track using track using IMDinput input IMD

IMD

Surgeheight height Surge

Web

Input to model

Trackof ofthe the Track system from system from IMDthrough through IMD email email

Forcethe the Force model model (ADCIRC) (ADCIRC) usingbest best using track track

Coastalcurrents currents Coastal

Output from model

Position of Position of Cyclone, Cyclone, gusting gusting speed, etc. speed, etc.

Generation Generation ofbulletins bulletins of && notifications notifications

E-mail Dissemination

SMS

Inland Inland inundation inundation

Fax

Inundationdepth depth Inundation

Every 3 to 6 hours repeat this process

Surge & inundation maps

Threat status


Inputs and Outputs


Dissemination of Storm Surge Bulletins

Fax

Email

National Level MHA, NDMA, MoES, NDRF Head quarters, IMD & CWC

State Level Principal Secretaries (Revenue) of coastal states

SMS District Level DROs of Srikakulam, Vizianagaram, Visakhapatnam, East Godavari, West Godavari, Krishna, Guntur, Prakasham, and S.P.S Nellore

Web http://www.incois.gov.in/portal/stormsurge

2014

Operational Storm Surge Warning for VSCS HudHud (8-12 October, 2014 ) Model Computed Model Computed Inundation Extent


First simulation

0530 IST of 08th October 2014

Last simulation


Model integration

5 days

Bulletins issued

29

Maximum storm

2.4m near Pedanagayyapalem,

surge simulated

Puspatirega Mandal, Andhrapradesh

Maximum

400 m near Pedanagayyapalem,

inundation extent

Puspatirega Mandal,

2014

List Of Storm Surge Forecasts During 2013-2014


Event

Starting Simulation

Last simulation

No. of bulletins issued

HudHud



29

Phailin



20

Helen

1330 IST of 20th November 2013

1630 IST of 22nd November 2013

20

Lehar

0230 IST of 23rd November 2013

1100 IST of 28th November 2013

33

Madi

0100 IST of 6th December 2013

0130 IST of 16th December 2013

-


Demo # 6

Demo


No. of visitors to HudHud StormSurge Webpages during 8-12 October, 2014


Conclusion

Model produces good results as compared to the observations of surge height as well as inundation extent and thus can be used for operational storm surge warning during such future events. The results obtained from the model can be used as guidance for the coastal disaster management authority for drawing suitable strategies to mitigate the effects of such events.
