Geospatial Systems -
Olivia Fairless

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Olivia Fairless

G.19a, Cassie Building, Newcastle University, NE1 7RU


About Olivia

Before joining Cohort 4 of the EPSRC Geospatial Systems CDT at Newcastle University, I completed an MSci in Earth Sciences at Durham University. During my undergraduate studies, I developed a strong interest in the interplay between Earth’s processes and human impact, particularly concerning water and soil contamination, as well as climate change.


My undergraduate research was committed to addressing pressing environmental challenges in line with my interests. For my third-year dissertation, I optimised calcium alginate beads for treating heavy metal laden wastewaters, determining the ideal pH for desorption to enhance bead reusability. My fourth-year research project examined carbon sequestration potential in UK soils, analysing how organic carbon content correlates with climate, land-use, and soil properties.


These experiences fuelled my enthusiasm for academic research and created a desire to further enhance my research skills. The 1+3 structure of this CDT, which includes completing the Geospatial Data Science MRes in the first year, has vastly broadened my knowledge of the geospatial field and data analysis techniques. Integrating my interest in earth science with my new geospatial skills, my PhD research investigates the spatial and temporal dynamics of effluent discharge in aquatic environments. Through this work, I aim to apply interdisciplinary expertise to gain meaningful insights into the impact of effluent discharge on aquatic ecosystems and environmental management practices.


PhD Research

Spatial-Temporal Dynamics of Effluent Discharge in Aquatic Environments


My research investigates the spatial and temporal dynamics of effluent discharge in aquatic environments, with a focus on the release of treated municipal waste from Howden Sewage Treatment Works into the lower River Tyne. By identifying peak discharge periods and assessing the fate of discharged effluent, including the potential for indirect emissions from effluent degradation, this research aims to enhance understanding of effluent dynamics and inform future monitoring and predictive capabilities.



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