Data science and Geography: The student will use information available online with tools including http://www.apis.ac.uk/, to identify which communities and schools are near intense rural air pollution sources.
Local Atmospheric chemistry: The types of air pollution will be distinguished using UK air pollution maps and models. The research approach to understand awareness of rural pollution will be developed with the supervisors and a research plan developed to work with 1-2 schools or community centres and private individuals to explore level of knowledge.
Field instrument deployment and data analysis: With the QuantAQ CASE partner, training with the ModulAir systems will be undertaken and deployment of an indoor-outdoor pair of units will be undertaken at case study buildings. In conjunction with UKCEH modelling tools and QuantAQ, the air pollution level and composition will be assessed.
Science communication and knowledge transfer: Using methods developed by University of Stirling, interventions and behaviour change of the building occupants and users will be developed and communication tools and methods developed by QuantAQ tested and improved.
The student will be supported by an interdisciplinary team including Dr Christine Braban (atmospheric chemist, UKCEH), Dr Heather Price (environmental geographer, University of Stirling), Dr. Ulrike Dragosits (spatial modeller, UKCEH) and Eben Cross (atmospheric chemist; CTO & Co-founder of QuantAQ) (CASE partner).