The linkages between catchment form and function are complex and vary in time and space. EVO is using cloud services to demonstrate how multiple environmental models can be run and their results analysed to provide a better understanding of these relationships and hence improve environmental decision making.
EVO is demonstrating our ability to understand what the dominant characteristics are that best identify hydrological and biogeochemical processes that benchmark our regional capability to answer science and policy objectives of national importance. Water is key to controlling in-situ biogeochemical processes (and the wider ecology) and is the vector that mobilises and transports soluble and particulate material into our surface water and groundwater, leading to significant impairments to the provisioning and regulating services essential for a sustainable UK environment.
To advance the integrated scientific understanding of key hydrological processes at the landscape scale in support of UK national policy, through the national-scale exemplar, EVO is addressing the key question:
Can we benchmark our understanding and predictive capability of stream flow regionally using a combination of currently available national scale monitoring networks; indices of landscape function embedded within conceptual models; and uncertainty approaches to model evaluation?
Similary, in the context of issues related to biogeochemical EVO is addressing the key question:
Does a national inventory of spatial characteristics coupled to concepts of hydrological connectivity and dynamic modelling identify limitations and improve the national capability to predict the biogeochemistry of UK catchments for Water Framework Directive policy objectives?