User Tools

Site Tools




Development of an sensor-network driven urban surface-groundwater model for managing water related risks (high groundwater levels, low groundwater levels, flooding, drought, subsidence, heat pollution and pollutant transport). Open platform and continuously updated model integrating climate data, pumping, recharge, abstractions, changes in land-use and water management (infiltration, sealing), construction, drainage, channel flow. The model is accessible through internet, with user-right management, updates, alerts to mobile phone, alerts to fire brigade, to badenova, to city freiburg, to house-owners.


Freiburg is located on an alluvial fan, that has a natural groundwater flow. On this fan the Dreisam river is located. The river has seen hydraulic modifications. The city has an urban drainage system, in the meatime hydro-power is used, the Dreisam's stream ecology is an asset. The development of the city has led to various modifications of the groundwater regime: Pumping in the upstream area (badenova), groundwater management in the city, strong abstraction by Rhodia. These modifications have had and have impacts on adjacent ecosystems (Mooswald) and affect buildings (high groundwater levels). Ecological principles in city development (rainwater infiltration from roofs) have led to higher infiltration rates. Geothermal energy is used affecting and changing groundwater temperature. There is no consistent and harmonized management of the groundwater system beneath Freiburg. Actions in one quarter can affect groundwater levels in other neighborhoods, changes in abstraction can affect lakes and ecosystems, restoration of ecosystems can virtually drown whole neighborhoods cellars in groundwater. Climate change affects the whole system.

We propose to develop an integrated groundwater management system for the whole city and the whole alluvial fan, that integrates all surface flows, boreholes, users, and ecosystems and that can be used to simulate changes.

The system will run continuously and will be continuously be updated with current weather data. The project will be innovative in five major aspects: Sensor-based monitoring with a factor 1/100 less expensive microprocessor based sensor networks. Storage in an innovative database (NoSQL) with semantic properties: Questions can be asked. A regionalisation of data in real-time and real-time modeling and sensor-based tracking and auto-calibration. Distribution of data to the city, to stakeholders, alerts to fire-brigade, citizens. And a dynamic risk assessment framework including dynamic datasets.

The project will focus on urban systems and georisks and will be a pilot / demonstration that can be transferred to other cities. Cities are drivers of development and should own these systems. Participation of citizens and neighborhoods.

Education: In parallel university course on open-source modeling and sensor-networks. Students will be involved in the project and act as multipliers for a later transfer to other cities.

Other cases: Bad Krozingen, Münstertal, Waldkirch (Möhlin, Kinzig, Dreisam).


Development of rainfall network with radio stations (sending, receiving) (hydrology): New!

Environmental monitoring of antecedent conditions (soil moisture, rain on snow, high groundwater level). Applied!

Network of Wasp Sensors of Libellyium for Flood Warning in small watersheds (hydrology). Applied!

Heat-Waves, Forest Fire, Wind.


Pollution and ozone warning network (Meteorology).

Gases monitoring on farms and from wetlands: CO2, CH4, NO2, VOC.

Radioactivity (Radon-monitoring) in well-houses.

Spills in rivers, lakes.

Cross-Over Quantity and Quality

Water Quality during Heat-Wave.

Gases during Heat-Wave.

Water Quality during floods (Überlauf).


Directly related to mobile phones and key points (firebrigade).

Involving people and researchers.

For cities. Land-City communication: Freiburg, Karlsruhe, Stuttgart.

Semantic Net - Internet of Things in the Environment.

Georisiken Karlsruhe Gruppe.


Price per sensor: 100 to 1000 Euro.


100.000 Euro for Sensors: 1000 to 100 Sensors with 10-20 Parameters.

50.000 Euro for Sensors: 500 to 50 Sensors with 10-20 parameters.


20.000 Euro for Sensors: 200 to 20 Sensors with 10-20 parameters.

10.000 Euro for Sensors: 100 to 10 Sensors.


2000 Euro: 20 to 2 sensors.

1000 Euro: 10 to 1 sensor.

Data reduction, data mining, translation to human language, warning, thresholds, green, red.

Full data for research and for the public. Data stream.

projects/georisknet.txt · Last modified: 2020/08/01 15:15 (external edit)