Event Details

DSNE seminar with Claire Miller, University of Glasgow

Multiple potential data sources exist to aid in the monitoring of lake and river water quality and catchment management. Data include, for example, those collected from long-term monitoring programmes, automatic sensor monitoring data, data from hyperspectral drones and data from processed satellite retrievals. However, information gaps still exist making global challenges associated with water pollution or water abstraction difficult to address. Where data do exist, the challenge lies in appropriately combining the available data streams to fill the knowledge gaps by providing improved estimation and prediction of, for example, water quality or quantity. This presentation will give examples of the statistical challenges presented in such a context through specific applications from the NERC GloboLakes project, the EPSRC GCRF Ramganga Water Data Fusion project and the NERC Digital Environment programme project on creating a ‘digital infrastructure to support management of water resources’.

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