Blackwater

As part of the EC H2020 NAIAD project a series of real time flood alert gauges and Natural Flood Management (Nature Based Solution) monitoring systems have been installed in river basins throughout Europe.  These gauges are low cost, open source designs developed as part of the FreeStation project.  Below is live data from the gauge in the Blackwater.  Further data on these gauges can be found here.

Spains Hall Estate includes two tributaries of the Blackwater, upstream of Finchingfield, a village prone to flooding of roads and properties.  Spains Hall, in partnership with the Environment Agency and DEFRA have installed one tributary with a series of leaky dams which slow the flow of water and divert it onto  water meadows to be slowly released after rainfall.  We have installed FreeStation level sensors and soil moisture sensors above and below one of the dams and in the water meadow, to assess the operation of the dams and their contribution to mitigate the flooding downstream.    The other tributary has an enclosure for two recently introduced Eurasian beavers who have built >16 leaky dams.  Again we have one gauge upstream of the dams, just inside the enclosure, and one downstream of the enclosure.  We have a variety of other FreeStation sensors monitoring above and below ground water storage as a result of the Beaver's engineering efforts.   We are also monitoring river  level  just above the village downstream of the confluence of these two tributaries to measure  the impact of both of these natural flood management interventions on river flow at the site of flood risk.  The images below shows live data from a series of these Internet of Things instruments.




Automatic weather station
Leaky log dam

Retention meadow


Beaver dam






Finchingfield

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730497.

NO WARRANTY OR LIABILITY: 
King's College London and AmbioTEK CIC provide these data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. We shall not be liable for incidental, consequential, or special damages arising out of the use of any data presented.