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T Jan Jellema, TNO, Build environment and Geosciences, the Netherlands SWE-connected sensors: Sensors as additional GIS-layers Sensor networking between scientific institutes NO

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T Jan Jellema, TNO, Build environment and Geosciences, the Netherlands

SWE-connected sensors: Sensors as additional GIS-layers

Sensor networking between scientific institutes

NO

T Jan Jellema Februar 2008

.

Institute Instrument/param PurposeUniversity Wag. Satellite images Biological modeling

KNMI Rain gauche, Humidity Dangerous weather

Hydraulic Lab. Levels, Humidity Oper. Water management

GeoDelft Hydraulic pressure Dike safety

TNO Groundwater head Prediction, GW-models

WS. Rivierenland Groundwater, Humid., Rain gauche

Polder Management,Disaster Management

Eikelkamp Groundwater, Moist. New standards

LOFAR High speed network Environmental network

KPN Sensor connections New business case

Support: IFGI, Muenster

T Jan Jellema Februar 2008

Relation between Institutes

Meteo

Agriculture

Groundwater

Rivers

Shipping

Dikes

Energy

-More sensors-Democratic sensors

-Higher GIS-resolution-More exchange-Local prediction

Health

T Jan Jellema Februar 2008

Promise functionality Sensor Web Enablement

• Harvest sensors on the Internet. Find the domain and location of sensors

• Contact the sensor and ask for (meta) parameters

• Define a selection of data and pre-process the data

• Receive the selection or instruct for periodic updates

• Automatic processing in models

• Request for alarm messages.

NO

T Jan Jellema Februar 2008

Setting up a Network in the Past:

Institute

Department

Report with tabels

Problem

T Jan Jellema Februar 2008

Actual practice

Institute

Reports with graphs

ProblemDatabase

Log-in Access

T Jan Jellema Februar 2008

Future situation

institute

Problem

instituteinstitute

Standard protocol

Internet

T Jan Jellema Februar 2008

Example: Dry period

3. Future Precipitation

Model: Hydroline

1. Moisture

Several locations

2. Precipitation

Local

T Jan Jellema Februar 2008

Request Groundwater pumping

Precipitation, evaporation - actual sensorinfo - historic, prediction

Groundwater levels - Actual sensorinfo - Historic curves

Intake gauges, discharge canals, weirs

T Jan Jellema Februar 2008

Example high water

River levels (Werse, Elbe, Oder, Rhine)

T Jan Jellema Februar 2008

Voorbeeld Hoog water

Rivier standen

T Jan Jellema Februar 2008

Example High water

Groundwater levels

In seepage areaActual outflow from polders

rivier

levels

T Jan Jellema Februar 2008

Information flow to user

Sensor

Operation intelligence

dataMeta

Internet (GIS)

Metadata en Data

user

T Jan Jellema Februar 2008

Steering by user

Sensor

Operation intelligence

dataMeta

Internet

Measurement procedures,

Triggers

User

T Jan Jellema Februar 2008

Voorbeeld polder

Lucht-

kwaliteit

Polder

at Lent

Future suburb of Nijmegen

T Jan Jellema Februar 2008

River level Pannerdense KopWater Quality

Lobith

River level Nijmegen-Haven

Water Quality RWZI

Groundwater head aquifer 1 aquifer 2

Groundwater head aquifer 1 aquifer 2

Groundwater head aquifer 1

River level

Groundwater head aquifer 1 aquifer 2

Soil moisture

Precipitation measurementPrecipitation

measurement

T Jan Jellema Februar 2008

Detail Information from one Sensor

History SWE Model

Actual sensor info

Database institute

Prediction through models

TIME now

T Jan Jellema Februar 2008

Experiences

• The standards are too open. For every domain a profile is required. (X, Y, dimensions, vocabularies)

• Trend to wireless communication is diametrally opposite the introduction of voluminous protocols.

• Relation with GML requires intelligent and highly paid developers

• Geo-objects and measurements are different objects. They follow different processes. Do not combine in one standard.

T

Successes• Models: meteo, river level, groundwater, can import SOS.

• GIS-layers (WMS) with sensors are available.

• Cooperation between institutes is increasing.

• New ideas for high resolution measurements are put in practice.

Jan Jellema Februar 2008

Work underway• Prediction curves

• Dynamic maps

T Jan Jellema Februar 2008

Conclusions

• Better cooperation , better models, better predictions.

• Active and Informed civilians (Aarhus).

• Flexible and reliable support for urgent decisions.

T Jan Jellema Februar 2008

Demonstration

.

T Jan Jellema Februar 2008

Partners• KPN National Telecommunications• LOFAR Super fast scientific fibre network• KNMI Royal Netherlands Meteorology Institute• WUR University Wageningen• Alterra Agricultural Scientific Institute• Delft Hydr. Delft Hydraulical laboratory• GeoDelft Centre for Geo-Engineering• Eijkelkamp Supplier of sensors.• TNO B&O Geological Survey of the Netherlands• IFGI Institute for Geo-Informatics (Germany)

In consultation with the project “IJkdijk” in Groningen

T Jan Jellema Februar 2008

WorkPackages

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