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Module 10 
Session 3 
(Seoul, Korea, 24 February 2011) 
ICTs for climate change adaptation 
Richard Labelle 
rlab@sympatico.ca
2 
Objectives of Module 10 
To show that ICTs be used to address 
climate change 
To demonstrate why ICTs are a crucial 
part of the solution – i.e. in promoting 
efficiency, Green Growth & sustainable 
development
3 
Objectives of Section 6 – key ICT 
applications for climate change 
adaptation 
Provide examples of some ICT applications 
for climate change adaptation for: 
Enhancing environmental understanding; 
Helping people, communities and organizations 
to adapt to climate change; and 
Building capacity for environmental and 
climate change adaptation.
4 
Technologies for enhancing 
environmental understanding (1) 
Remote sensing technologies 
Satellite based 
Ground based sensors and sensor 
technologies: 
WSNs, Internet of Things, embedded 
processors 
Powerful and user friendly handheld 
devices 
Data recording, analysis, visualization 
Environmental sensing 
Extending the reach of cloud computing 
services
5 
Technologies for enhancing 
environmental understanding (2) 
High speed processors (CPUs, GPUs 
& peripherals) 
Geographic information system )GIS) 
Cloud based GIS: Google Earth, 
Microsoft Virtual Earth 
Global positioning systems (GPS)
6 
Technologies for enhancing 
environmental understanding (3) 
Digital data archives 
Database management systems 
Web 2.0 & Web 3.0 technologies 
Mashups of these various 
technologies 
Social networks: 
Crowsourcing that facilitates 
environmental observation
7 
Some examples (1) 
Satellite based weather observation 
systems & terrestrial weather 
stations 
WMO’s World Weather Watch system 
discussed in Section 4 
Automatic weather stations remotely 
connected to weather network 
Many auto weather stations increase 
data reliability and weather 
predictability
8 
Some examples (2) 
FluxNet: a global network of weather 
stations focusing on CO2, H20 & 
energy exchanges at earth’s surface 
Used for modelling & understanding 
terrestrial energy balance
9 
Some examples (3) 
NatureServe: 
Uses ICTs for biodiversity mapping & 
management 
GIS, GPS, handheld devices, wireless 
nets for real time data collection & 
analysis 
Useful for measuring impact of CC on 
biodiversity 
More long term
NatureServe Biotics app for biodiversity 
10 
observation 
[http://www.natureserve.org/prodServices/biotics.jsp
11 
Some examples (4) 
Using remote sensing and WSNs for: 
Mapping soil capability & matching 
agricultural technologies & practices to 
best suit these characteristics 
Use existing knowledge bases for this: 
CGIAR, FAO & other UN, etc.
12 
Examples (5) 
Use remote sensing & GIS to map 
soil capability characteristics 
 identify appropriate: 
land use practices, 
crops and animals, 
 to put into place sustainable 
agricultural practices
13 
Some examples (6) 
Using ICTs for REDD: 
Measuring vegetation cover & changes 
in cover 
Tracking vegetation health 
Satellite based remote sensing, GIS, 
GPS, handheld mobile devices, WSNs, 
etc.
14 
Some examples (7) 
The Global Earth Observation System 
of Systems (GEOSS) 
Facilitates access to digital imagery data 
archives
REDD – the Green Belt Movement (Kenya) 
15 
GBM uses: 
GIS @ GBM 
– Satellite data to identify areas of forest loss where urgent 
reforestation or tree planting should be carried out. 
– GIS and Remote Sensing for identification of the location, 
delineate the extent of specific potential community-based 
tree planting project sites. 
– Field measurements to estimate baseline biomass and 
carbon stocks for the community tree planting project sites 
– Mapping and field based-monitoring using GIS to ensure 
high survival of the planted trees 
– Web-based mapping application for reporting of project 
progress to the management and project partners 
[Maathai, W. and Ndunda, P. 2009. The Green Belt Movement International. Cop15. Dec. 8, 2009.
16 
REDD – Green Belt Movement 
ESRI: GIS platform 
Google Earth & data sharing 
The European Space Agency: remote 
sensing data (satellite) 
Spot Image as partner 
Trimble: positioning solutions 
Leica Geosystems: 
Technologies that capture, visualize and 
process 3D spatial data
Use of GIS by the Green Belt Movement in 
17 
Kenya 
GBM uses: 
GIS @ GBM 
– Satellite data to identify areas of forest loss where urgent 
reforestation or tree planting should be carried out. 
– GIS and Remote Sensing for identification of the location, 
delineate the extent of specific potential community-based 
tree planting project sites. 
– Field measurements to estimate baseline biomass and 
carbon stocks for the community tree planting project sites 
– Mapping and field based-monitoring using GIS to ensure 
high survival of the planted trees 
– Web-based mapping application for reporting of project 
progress to the management and project partners 
[Maathai, W. and Ndunda, P. 2009. The Green Belt Movement International. Cop15. Dec. 8, 2009.
ICTs for helping people, communities 
18 
and organizations adapt to CC 
For DRR & DRM: 
Remote sensing technologies & satellite 
& wireless telecommunication 
technologies including NGNs 
Sensors & sensor nets (WSNs) 
Digital imagery for crowsource mapping 
A social networking application 
GIS & browser based GIS (Google 
Earth, Microsoft Virtual Earth, etc.) 
WSNs for drought and flood monitoring 
& control, irrigation control, etc.
Crowdsourcing apps for emergency 
19 
preparedness & response (1) 
OpenStreetMap: 
OpenStreetMap allows you to view, edit 
and use geographical data in a 
collaborative way from anywhere on 
Earth.
20 
OpenStreetMap 
http://www.openstreetmap.org/
Crowdsourcing apps for emergency 
21 
preparedness & response (2) 
Google Mapmaker: 
The Google equivalent allowing cloud-based 
sharing of mapping information 
that can also be considered a geospatial 
data hosting service 
It allows users of the (free) service to 
annotate places for people to see in 
Google maps.
22 
Google Map Maker 
http://www.google.com/mapmaker/pulse
Crowdsourcing apps for emergency 
23 
preparedness & response (3) 
Ushahidi: 
The Ushahidi platform provides tools for 
communities to crowdsource real-time 
information using SMS, email, Twitter 
and the Web
Ushahidi :bushfire connect – reporting bushfires in 
24 
Australia 
http://bushfireconnect.org/ & http://crowdmap.com/ & http://www.ushahidi.com/products/crowdmap
Crowdsourcing apps for emergency 
25 
preparedness & response (4) 
Sahana: 
Web-based collaboration tool that 
addresses common coordination 
problems during a disaster from finding 
missing people, managing aid, 
managing volunteers and tracking 
camps effectively between government 
groups, civil society (NGOs) and the 
affected themselves 
Crowdsourcing allows to consult a wider 
group to gather info & for better 
situational analysis
26 
Role of ICTs (6) 
After disaster: information for damage 
assessment and planning of relief 
operations mainly obtained by space 
remote sensing systems (Vassiliev,ITU).
27 
Role of ICTs (7) 
Tools that can help governments, 
people, organizations and 
communities become more efficient 
ICT based modernization of business 
processes: e-government in general + 
specialized e-applications in particular
Applications: Agriculture (FEWS 1) 
28 
Famine Early Warning 
System(FEWS) 
For vulnerability and food security 
assessments, Food security alerts, 
updates and briefings, etc. 
Satellite based remote sensing 
Assist small scale farmers to predict 
crop yields in relation to seasonal 
weather and precipitation trends
Applications: Agriculture (FEWS 2) 
29 
Famine Early Warning 
System(FEWS) 
Prepare for famine and delay growing 
seasons when drought places farming at 
risk 
Africa & beyond (Afghanistan)
30 
The Famine Early Warning System (Fews) - 
Estimated food security conditions, 2nd Quarter 
2010 (April-June) 
FEWS. 2010. Estimated food security conditions, 2nd Quarter 2010 (April-June). http://www.fews.net/Pages/default.aspx
31 
Applications: agriculture 
Nano Ganesh (India) 
Mobile phone application that triggers 
irrigation pumps remotely 
Saves water and is helping over 10,000 
farmers manage pumps that would 
otherwise require manual control
32 
Applications: agriculture 
CHEWACS (Indonesia) 
Climate Change Early Warning for 
Agricultural Communities 
e-Environment decision support system 
WSNs to gather microclimate data 
Sensors detect T, humidity, wind, sunlight 
radiation, air pollution 
Data relayed to servers for processing 
Info to provide warnings to agricultural 
communities and governments
33 
Applications: weather info 
Enhancing the capacity of weather 
and environmental ministries and 
services to collect data and 
communicate it to the public 
Automatic weather stations connected 
to the national weather info. system 
Ericsson “Weather for all” project 
PPP to build 5,000 automatic weather 
stations at mobile network sites (cell 
towers, etc.) across Africa
Applications: micro insurance (1) 
34 
ICTs used to enhance quality & 
availability of weather data  helps 
make risk assessment more 
accurate, allows micro insurers to 
offer competitive pricing 
Availability of timely, accurate and 
reliable weather data, insurance 
companies see opportunities to provide 
farmers with affordable micro insurance 
plans
Applications: micro insurance (2) 
35 
Data used: 
weather records published by the local 
weather station, 
key data on morbidity, 
disease data from epidemiological surveys 
and data banks, etc. 
ICTs and especially mobile devices 
enhancing the efficiency of the micro 
insurance market: i.e. selling and / or 
buying micro insurance, registering 
claims and receiving compensation
Applications: micro insurance (3) 
36 
Indonesia has developed an index-based 
flood insurance credit card 
scheme; 
The Philippines has a typhoon index 
crop insurance scheme for rice 
farmers
37 
6.3 Building capacity for 
environmental & CC adaptation (1) 
Some technologies: 
E-government 
Internet based learning networks 
Online streaming of multimedia content 
for: 
Diffusing news and knowledge and for 
enhancing participation in conferences and 
meetings, etc. 
Teleconferencing systems (high 
definition video conferencing, 
telepresence, etc.)
38 
6.3 Building capacity for 
environmental & CC adaptation (2) 
Some technologies: 
Social networks & apps available via 
social nets 
Various Web based distance learning 
resources
39 
Some examples (1) 
E-government apps: 
To strengthen the capacity of 
government to address climate change 
adaptation 
ICT enhance data collection 
Minimize the health impacts pf climate 
change by: 
Strengthening public health systems 
Enhancing capacity 
Strengthening surveillance & control of 
disease
40 
Some examples (2) 
E-learning: 
UN climate change learning platforms 
World Bank distance learning course on 
climate change science & policy 
APCICT Virtual Academy (AVA) 
Various specialised courses available 
online
41 
Some cross cutting ICT based 
applications for building capacity for 
climate change adaptation
42 
Resources for the Future (USA) 
Adaptation Atlas: 
Web-based application for user driven, 
dynamically generated maps of climate 
impacts and adaptation activities 
Database of impacts 
Repository of adaptation projects 
Data available for download and uploads 
User can select different locations, 
timeframes, scenarios and overlay 
resulting data across sectors
43 
Google (1) 
Several projects to enhance access 
to data on adaptation using ICTs 
http://www.weadapt.org/ : explore 
ways of improving access to info. on 
climate adaptation using Google Earth 
GEO Forest Carbon Tracking (FCT) 
initiative: to support countries wanting 
to establish national forest-change, 
carbon estimation and reporting 
systems: 
Using satellite imagery for measuring / 
monitoring world's forests using Google 
Earth
44 
Google (2) 
Earth Engine Demo 
Many possible uses 
Forest monitoring, reporting and verification 
(MRV) in support of efforts such as REDD 
Uses Google cloud for storage, 
computation, analysis & visualization 
Respects data ownership 
Open Data Kit: 
Tools to help organizations collect, 
aggregate and visualize data
45 
Google (3) 
Google Crisis Response: 
Use imagery - Cyclone Nargis Hits 
Myanmar using Google Map Maker 
Available soon: 
Airborne affordable versatile hi res 
imagery from a small plane 
World Bank Development Indicators 
in Google Search 
Information Technology support for 
Mekong Basin Disease Surveillance 
Network
46 
Microsoft 
SenseWeb: 
geo-based web interface for publishing 
and browsing live sensor data 
SensorMap: 
Visualization of info. 
Mashes up sensor data from SenseWeb 
on a map interface 
Provides interactive tools to selectively 
query sensors and visualize data, along 
with authenticated access to manage 
sensors
47 
Government of Korea 
Sensor networks for managing water 
pollution and measuring water levels
Sensor networks monitor water level and 
48 
pollutants in Korea 
Four Major Rivers through u-River Control 
Preventing water pollution by establishing real-time environment monitoring system 
based on Ubiquitous Sensor Network (USN) to support the Four River Revival Project 
and monitor the ecological environment 
[National Information Society Agency (NIA), Government of Korea 
UV Index: 5 - the average level 
- Needs to have protection 
(sunscreen/sunshade) 
Stroll Path: Temperature/ 
humidity/illumination - good 
- Good for jogging and walking 
River Condition Index: 9 - good 
- Throwing wastes into river 
prohibited 
Water Level of River: normal 
20/15 
Messages to Electronic 
Bulletin Boards 
Wire 
Wireless 
USN Zigbee Network 
- 2.4Ghz, 100m range 
- Sensor/Router/Gateway 
Real-time detection 
of pollution source 
• Sensors : Air temperature/illumination/humidity/UV(14EA), water 
level(7EA), water temperature/dissolved oxygen(DO)/PH (14EA) 
• Relay nodes : Zigbee Router Node (14EA), including water level CDMA+SINK 
Node(7EA) Total: 49EA
49 
Discussion

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ICTs for Climate Change Adaptation

  • 1. Module 10 Session 3 (Seoul, Korea, 24 February 2011) ICTs for climate change adaptation Richard Labelle rlab@sympatico.ca
  • 2. 2 Objectives of Module 10 To show that ICTs be used to address climate change To demonstrate why ICTs are a crucial part of the solution – i.e. in promoting efficiency, Green Growth & sustainable development
  • 3. 3 Objectives of Section 6 – key ICT applications for climate change adaptation Provide examples of some ICT applications for climate change adaptation for: Enhancing environmental understanding; Helping people, communities and organizations to adapt to climate change; and Building capacity for environmental and climate change adaptation.
  • 4. 4 Technologies for enhancing environmental understanding (1) Remote sensing technologies Satellite based Ground based sensors and sensor technologies: WSNs, Internet of Things, embedded processors Powerful and user friendly handheld devices Data recording, analysis, visualization Environmental sensing Extending the reach of cloud computing services
  • 5. 5 Technologies for enhancing environmental understanding (2) High speed processors (CPUs, GPUs & peripherals) Geographic information system )GIS) Cloud based GIS: Google Earth, Microsoft Virtual Earth Global positioning systems (GPS)
  • 6. 6 Technologies for enhancing environmental understanding (3) Digital data archives Database management systems Web 2.0 & Web 3.0 technologies Mashups of these various technologies Social networks: Crowsourcing that facilitates environmental observation
  • 7. 7 Some examples (1) Satellite based weather observation systems & terrestrial weather stations WMO’s World Weather Watch system discussed in Section 4 Automatic weather stations remotely connected to weather network Many auto weather stations increase data reliability and weather predictability
  • 8. 8 Some examples (2) FluxNet: a global network of weather stations focusing on CO2, H20 & energy exchanges at earth’s surface Used for modelling & understanding terrestrial energy balance
  • 9. 9 Some examples (3) NatureServe: Uses ICTs for biodiversity mapping & management GIS, GPS, handheld devices, wireless nets for real time data collection & analysis Useful for measuring impact of CC on biodiversity More long term
  • 10. NatureServe Biotics app for biodiversity 10 observation [http://www.natureserve.org/prodServices/biotics.jsp
  • 11. 11 Some examples (4) Using remote sensing and WSNs for: Mapping soil capability & matching agricultural technologies & practices to best suit these characteristics Use existing knowledge bases for this: CGIAR, FAO & other UN, etc.
  • 12. 12 Examples (5) Use remote sensing & GIS to map soil capability characteristics  identify appropriate: land use practices, crops and animals,  to put into place sustainable agricultural practices
  • 13. 13 Some examples (6) Using ICTs for REDD: Measuring vegetation cover & changes in cover Tracking vegetation health Satellite based remote sensing, GIS, GPS, handheld mobile devices, WSNs, etc.
  • 14. 14 Some examples (7) The Global Earth Observation System of Systems (GEOSS) Facilitates access to digital imagery data archives
  • 15. REDD – the Green Belt Movement (Kenya) 15 GBM uses: GIS @ GBM – Satellite data to identify areas of forest loss where urgent reforestation or tree planting should be carried out. – GIS and Remote Sensing for identification of the location, delineate the extent of specific potential community-based tree planting project sites. – Field measurements to estimate baseline biomass and carbon stocks for the community tree planting project sites – Mapping and field based-monitoring using GIS to ensure high survival of the planted trees – Web-based mapping application for reporting of project progress to the management and project partners [Maathai, W. and Ndunda, P. 2009. The Green Belt Movement International. Cop15. Dec. 8, 2009.
  • 16. 16 REDD – Green Belt Movement ESRI: GIS platform Google Earth & data sharing The European Space Agency: remote sensing data (satellite) Spot Image as partner Trimble: positioning solutions Leica Geosystems: Technologies that capture, visualize and process 3D spatial data
  • 17. Use of GIS by the Green Belt Movement in 17 Kenya GBM uses: GIS @ GBM – Satellite data to identify areas of forest loss where urgent reforestation or tree planting should be carried out. – GIS and Remote Sensing for identification of the location, delineate the extent of specific potential community-based tree planting project sites. – Field measurements to estimate baseline biomass and carbon stocks for the community tree planting project sites – Mapping and field based-monitoring using GIS to ensure high survival of the planted trees – Web-based mapping application for reporting of project progress to the management and project partners [Maathai, W. and Ndunda, P. 2009. The Green Belt Movement International. Cop15. Dec. 8, 2009.
  • 18. ICTs for helping people, communities 18 and organizations adapt to CC For DRR & DRM: Remote sensing technologies & satellite & wireless telecommunication technologies including NGNs Sensors & sensor nets (WSNs) Digital imagery for crowsource mapping A social networking application GIS & browser based GIS (Google Earth, Microsoft Virtual Earth, etc.) WSNs for drought and flood monitoring & control, irrigation control, etc.
  • 19. Crowdsourcing apps for emergency 19 preparedness & response (1) OpenStreetMap: OpenStreetMap allows you to view, edit and use geographical data in a collaborative way from anywhere on Earth.
  • 21. Crowdsourcing apps for emergency 21 preparedness & response (2) Google Mapmaker: The Google equivalent allowing cloud-based sharing of mapping information that can also be considered a geospatial data hosting service It allows users of the (free) service to annotate places for people to see in Google maps.
  • 22. 22 Google Map Maker http://www.google.com/mapmaker/pulse
  • 23. Crowdsourcing apps for emergency 23 preparedness & response (3) Ushahidi: The Ushahidi platform provides tools for communities to crowdsource real-time information using SMS, email, Twitter and the Web
  • 24. Ushahidi :bushfire connect – reporting bushfires in 24 Australia http://bushfireconnect.org/ & http://crowdmap.com/ & http://www.ushahidi.com/products/crowdmap
  • 25. Crowdsourcing apps for emergency 25 preparedness & response (4) Sahana: Web-based collaboration tool that addresses common coordination problems during a disaster from finding missing people, managing aid, managing volunteers and tracking camps effectively between government groups, civil society (NGOs) and the affected themselves Crowdsourcing allows to consult a wider group to gather info & for better situational analysis
  • 26. 26 Role of ICTs (6) After disaster: information for damage assessment and planning of relief operations mainly obtained by space remote sensing systems (Vassiliev,ITU).
  • 27. 27 Role of ICTs (7) Tools that can help governments, people, organizations and communities become more efficient ICT based modernization of business processes: e-government in general + specialized e-applications in particular
  • 28. Applications: Agriculture (FEWS 1) 28 Famine Early Warning System(FEWS) For vulnerability and food security assessments, Food security alerts, updates and briefings, etc. Satellite based remote sensing Assist small scale farmers to predict crop yields in relation to seasonal weather and precipitation trends
  • 29. Applications: Agriculture (FEWS 2) 29 Famine Early Warning System(FEWS) Prepare for famine and delay growing seasons when drought places farming at risk Africa & beyond (Afghanistan)
  • 30. 30 The Famine Early Warning System (Fews) - Estimated food security conditions, 2nd Quarter 2010 (April-June) FEWS. 2010. Estimated food security conditions, 2nd Quarter 2010 (April-June). http://www.fews.net/Pages/default.aspx
  • 31. 31 Applications: agriculture Nano Ganesh (India) Mobile phone application that triggers irrigation pumps remotely Saves water and is helping over 10,000 farmers manage pumps that would otherwise require manual control
  • 32. 32 Applications: agriculture CHEWACS (Indonesia) Climate Change Early Warning for Agricultural Communities e-Environment decision support system WSNs to gather microclimate data Sensors detect T, humidity, wind, sunlight radiation, air pollution Data relayed to servers for processing Info to provide warnings to agricultural communities and governments
  • 33. 33 Applications: weather info Enhancing the capacity of weather and environmental ministries and services to collect data and communicate it to the public Automatic weather stations connected to the national weather info. system Ericsson “Weather for all” project PPP to build 5,000 automatic weather stations at mobile network sites (cell towers, etc.) across Africa
  • 34. Applications: micro insurance (1) 34 ICTs used to enhance quality & availability of weather data  helps make risk assessment more accurate, allows micro insurers to offer competitive pricing Availability of timely, accurate and reliable weather data, insurance companies see opportunities to provide farmers with affordable micro insurance plans
  • 35. Applications: micro insurance (2) 35 Data used: weather records published by the local weather station, key data on morbidity, disease data from epidemiological surveys and data banks, etc. ICTs and especially mobile devices enhancing the efficiency of the micro insurance market: i.e. selling and / or buying micro insurance, registering claims and receiving compensation
  • 36. Applications: micro insurance (3) 36 Indonesia has developed an index-based flood insurance credit card scheme; The Philippines has a typhoon index crop insurance scheme for rice farmers
  • 37. 37 6.3 Building capacity for environmental & CC adaptation (1) Some technologies: E-government Internet based learning networks Online streaming of multimedia content for: Diffusing news and knowledge and for enhancing participation in conferences and meetings, etc. Teleconferencing systems (high definition video conferencing, telepresence, etc.)
  • 38. 38 6.3 Building capacity for environmental & CC adaptation (2) Some technologies: Social networks & apps available via social nets Various Web based distance learning resources
  • 39. 39 Some examples (1) E-government apps: To strengthen the capacity of government to address climate change adaptation ICT enhance data collection Minimize the health impacts pf climate change by: Strengthening public health systems Enhancing capacity Strengthening surveillance & control of disease
  • 40. 40 Some examples (2) E-learning: UN climate change learning platforms World Bank distance learning course on climate change science & policy APCICT Virtual Academy (AVA) Various specialised courses available online
  • 41. 41 Some cross cutting ICT based applications for building capacity for climate change adaptation
  • 42. 42 Resources for the Future (USA) Adaptation Atlas: Web-based application for user driven, dynamically generated maps of climate impacts and adaptation activities Database of impacts Repository of adaptation projects Data available for download and uploads User can select different locations, timeframes, scenarios and overlay resulting data across sectors
  • 43. 43 Google (1) Several projects to enhance access to data on adaptation using ICTs http://www.weadapt.org/ : explore ways of improving access to info. on climate adaptation using Google Earth GEO Forest Carbon Tracking (FCT) initiative: to support countries wanting to establish national forest-change, carbon estimation and reporting systems: Using satellite imagery for measuring / monitoring world's forests using Google Earth
  • 44. 44 Google (2) Earth Engine Demo Many possible uses Forest monitoring, reporting and verification (MRV) in support of efforts such as REDD Uses Google cloud for storage, computation, analysis & visualization Respects data ownership Open Data Kit: Tools to help organizations collect, aggregate and visualize data
  • 45. 45 Google (3) Google Crisis Response: Use imagery - Cyclone Nargis Hits Myanmar using Google Map Maker Available soon: Airborne affordable versatile hi res imagery from a small plane World Bank Development Indicators in Google Search Information Technology support for Mekong Basin Disease Surveillance Network
  • 46. 46 Microsoft SenseWeb: geo-based web interface for publishing and browsing live sensor data SensorMap: Visualization of info. Mashes up sensor data from SenseWeb on a map interface Provides interactive tools to selectively query sensors and visualize data, along with authenticated access to manage sensors
  • 47. 47 Government of Korea Sensor networks for managing water pollution and measuring water levels
  • 48. Sensor networks monitor water level and 48 pollutants in Korea Four Major Rivers through u-River Control Preventing water pollution by establishing real-time environment monitoring system based on Ubiquitous Sensor Network (USN) to support the Four River Revival Project and monitor the ecological environment [National Information Society Agency (NIA), Government of Korea UV Index: 5 - the average level - Needs to have protection (sunscreen/sunshade) Stroll Path: Temperature/ humidity/illumination - good - Good for jogging and walking River Condition Index: 9 - good - Throwing wastes into river prohibited Water Level of River: normal 20/15 Messages to Electronic Bulletin Boards Wire Wireless USN Zigbee Network - 2.4Ghz, 100m range - Sensor/Router/Gateway Real-time detection of pollution source • Sensors : Air temperature/illumination/humidity/UV(14EA), water level(7EA), water temperature/dissolved oxygen(DO)/PH (14EA) • Relay nodes : Zigbee Router Node (14EA), including water level CDMA+SINK Node(7EA) Total: 49EA