Use connectivity science to determine the fate (source-pathway-interceptors) of specific diffuse chemicals and pathogens in the water supply chain

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Objectives

  1. Develop a new evidence-base of sources, pathways and transmission rates for unwanted diffuse chemicals in the water-supply chain;
  2. Using minimal models and identify critical nodes to explore the pathways of diffuse chemicals;
  3. Based on empirical data (O1) and modelling (O2), determine the most effective interventions that will prevent pollutants from getting into and being transported through the water network. The above approach will subsequently be used to explore source-pathway-interceptors of pharmaceuticals in water courses.

Datasets used in this project are Environment Agency Open Source Data of diffuse chemicals and pharmaceuticals obtained by routine monitoring operations to comply with the wastewater treatment framework directive and the Water Framework Directive. Other complementary datasets from UK water companies will be made accessible via EA partners. These secondary datasets will be supplemented with empirical data collection in select catchments.

Expected Results

  1. Data integration across data organisations and across urban-rural landscapes (to feed into the datathon event – month 19);
  2. Development of existing tools from alternative disciplines for understanding sources, pathways and transmission of diffuse pollutants;
  3. Testing and application of these tools to determine the fate of diffuse chemicals across UK catchments and Austrian catchments, and
  4. better understanding of the fate of pharmaceuticals across these catchments.

Secondments

Host Months Aim

BOKU (TH)

29 - 31

To apply the developed approach to Austrian catchments, with existing datasets to be provided by TH.

Environment Agency

19 - 21

To learn about the datasets provided by the Environment Agency

Other Positions in Structures and Properties

ESR 11

AAISCS (Cyprus)

Connectivity within network processes and coupling with global flows

ESR 14

University of Groningen (Netherlands)

Understanding the emergence of connectivity science in practice: a network of network colleagues

ESR 15

Durham University (United Kingdom)

Use connectivity science to determine the fate (source-pathway-interceptors) of specific diffuse chemicals and pathogens in the water supply chain

ESR 6

Durham University (United Kingdom)

Scaling connectivity science in fluvial systems