presentation @ iscram 2014

AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring

Flávio E. A. Horita

Institute of Mathematics and Computer Science (ICMC) – University of São Paulo (USP) - Brazil

[email protected]

http://www.agora.icmc.usp.br | http://www.flaviohorita.com

Agenda

• Background

• Digital Dashboards

• Research Problem

• AGORA-GeoDash

• Deployment

• Evaluation

• Conclusion

2

Background

• Disasters in Brazil

3

Duque de Caxias/Rio de Janeiro on Jan, 2013

Background


4

Porto Velho/Rondônia on Fev, 2014

Background

• Disaster in Brazil

5 Flood in São Carlos/São Paulo on Oct 22, 2013

2h20min – 105mm

Background


6 EM-DAT – The International Disaster Database

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

1991-2000

2001-2010

2011-2013

Flood

Drought

Storms

Landslide

Background

• Numbers of floods in Brazil

7 Report 2013 of Brazilian Institute of Geography and Statistics (IBGE)

Communities Affected

5.570 cities

1.543 affected

Background




5.570 cities

1.543 affected

Digital Dashboards

• Most important management information needed to support strategic activities (Few, 2006;

Liang and Miranda, 2001)

• Single Screen

• Performance Indicators

• User-friendly

• Drill-down function (Vasiliu, 2006)

• Decision-making faster

10

Digital Dashboards

• Digital Dashboards

11 http://www.theomegagroup.com/fire/omega_dashboard_fire.html

Research Problem

• Brazil faces a lot of structural problems:

– Traditional performance indicators are not sufficient

– Real-time information is not easily available

– There is not a standard to connect the information system available

12

Research Problem

• Main research question

How to support the real-time decision-making in flood situations through the rivers monitoring?

13

AGORA-GeoDash

• Processes real-time information

• Enables the interoperability among other information systems (OGC standards)

• Provides performance indicators essentials for flood risk monitoring

14

AGORA-GeoDash

• Layer Structure

15

AGORA-GeoDash

• The Geosensor Dashboard

16

AGORA-GeoDash

• The Hazard Index

– Uses depth and water velocity to identify if an adult can be dragged by the water (Rotava et al., 2013)

17

Deployment

• Deployment context

18

Deployment


19

• Wireless Sensor Network with three sensors using ZigBee for the Data Source Layer

• Communication among sensors and base station via JSON

Deployment


20

• The Service layer uses JSP to process and PostGIS to storage the data provided by the previous layer.

• The communication with the Visualization Layer uses SOS Specification specifically the 52 north framework (Jirka et al., 2012).

PostGIS

Deployment


21

• Geosensor Dashboard • The Visualization Layer

uses ExtJS with OpenLayers framework to handle the geographic data and integrate with OGC services.

Evaluation

• Flood event on Oct 22-23, 2013

– 2h20m of rain with an amount of 105mm (all Dec)

22

Evaluation

• Rainfall on Nov 4, 2013

23

Conclusion

• Real-time information is essential

• The AGORA-GeoDash presents itself as an important approach to support decision-making

• Hazard Index is an important performance indicator to aid in flood situations

24

Future Work

• Improve the dashboard with other performance indicators

• Integrate Volunteered Geographic Information (VGI) with other sources to provide real-time information (Degrossi & Albuquerque, 2014)

• Interface and usability analysis

25


Flávio E. A. Horita1, Maria C. Fava2, Jairo Rotava2, Eduardo M. Mendiondo2, Vladimir C. Souza3, Jó Ueyama1, and João Porto de Albuquerque1

1Institute of Mathematics and Computer Science (ICMC/USP), 2Department of Hydraulic (DHS/USP), 3Center for Technology (CTEC/UFAL)


Flávio E. A. Horita

Institute of Mathematics and Computer Science (ICMC) – University of São Paulo (USP) - Brazil

[email protected]

http://www.agora.icmc.usp.br | http://www.flaviohorita.com

presentation @ iscram 2014

Education