Detecting, sensing and sampling

The project will use and combine automatic sensors (in-situ and satellite based), the Internet of Things (IoT) and artificial intelligence techniques to anticipate and forecast flood or hazmat incidents thus minimizing human intervention.

Expected outputs:

A review of the application of remote sensing products and services for early warning and model validation for hazards in transitional water

“Implementation of operational monitoring services in four pilot sites, using free and open satellite imagery from various sensors that were used to detect and measure parameters and indicators. This information can support different en-user working on hazard early detection, early warning, model initialization and model validation on flood and pollution hazards in transitional waters”


A methodology for use of early-warning pollution indicators and sentinels in continuous monitoring stations

This tool was implemented to provide a general rapid review of monitoring data captured during the initial phases of a pollution incident in order to inform subsequent actions (alerts, sampling and analysis, pollution controls/management, risk communications).

A novel modelling approach for estimation of human-controlled river discharges
Expansion of the existing CEDRE’s chemical products database (HNS and MARPOCS)
A report on experimental characterisation of chemicals behaviour in rivers and open sea
A gap analysis of detection capabilities and assessment tool for interpreting results

“Under this work package Public Health England have developed a tool to undertake rapid assessment of water monitoring data (WRAT). Download the zip file and extract the contents of the folder for access to the tool, some test data, an instructional video and a report on the tool design and development and its application”