24 Air Monitoring Author Contact Details Conclusion


The signifi cant advances made in small sensor technology in recent years is such that the capital cost of such devices is signifi cantly lower than that of conventional AQ monitoring systems and they can be deployed in many locations where conventional monitors cannot. However, the operational costs of running a network of sensor systems can still be signifi cant, let alone the task of fi nding suitable monitoring locations with planning consent, power, communications and security. This is where leveraging an existing network infrastructure such as a cellular network can enable easy and sustainable deployment and reduce operational costs.


Phase 1 of the AQ pilot in Glasgow has demonstrated that mobile networks are suitable for hosting AQ sensors and that, thanks to their pervasive infrastructure, they are well positioned to cost-effectively scale hyper-local AQ monitoring networks. The next phases of the project will illustrate how such monitoring networks can work in harmony with mathematical models to produce accurate and high-resolution AQ maps, and empower stakeholders to target mitigation and policy interventions, to help improve AQ for all.


Acknowledgements


The authors would like to thank and acknowledge the following colleagues, whose contributions to the project are key to its success: Jaime Abril and Bhupinder Kaur (Vantage Towers), Nick Spedding and Spiros Dervisis (Cornerstone), Julia de


Juan Verger, Helena Antich Homar, Maria Francisca Cardell Martínez (Wireless DNA), Evangelia Chatzidiakou (University of Cambridge), Luis Gonzaga Ridruejo (Vodafone Analytics), David Carruthers and Daniel Connolly (CERC), Dalibor Budimir and Nadir Nawab (Vodafone UK).


References


[1] GSMA: Blog: How many global base stations are there anyway? - Mobile World Live


[2] Vodafone Analytics


[3] Telco Titans: Vodafone embraces network-based weather forecasting | Partnerships & Alliances | TelcoTitans.com


[4] Owen, B., Edmunds, H.A., Carruthers, D.J. and Singles, R.J., 2000. Prediction of total oxides of nitrogen and nitrogen dioxide concentrations in a large urban area using a new generation urban scale dispersion model with integral chemistry model. Atmospheric Environment, 34(3), pp.397-406


[5] Carruthers D, Stidworthy A, Clarke D, Dicks J, Jones R, Leslie I, Popoola OAM and Seaton M, 2019. Urban emission inventory optimisation using sensor data, an urban AQ model and inversion techniques. International Journal of Environment and Pollution, vol. 66, issue 4, pp. 252-266


[6] https://www.cerc.co.uk/urban


[7] QCumber-EnvHealth Project: CERC > Environmental research > Smart cities


Dr Ilaria Thibault Vodafone Business


1 Kingdom St, London W2 6BD • Email: ilaria.thibault@vodafone.com


Prof Rod Jones Yusuf Hamied Department of Chemistry, University of Cambridge 1 Kingdom St, London W2 6BD • Email: rlj1001@cam.ac.uk


Jim Mills, Managing Director Scotswolds Ltd, Moss-Side Hall of Boquhapple, Thornhill, Stirlingshire, Scotland, FK8 3QQ


Dr Olalekan Popoola, A.M. Yusuf Hamied Department of Chemistry, University of Cambridge • Email: oamp2@cam.ac.uk


Amy Stidworthy, Associate Director at Cambridge Environmental Research Consultants 3 King’s Parade, Cambridge, CB2 1SJ, UK • Email: amy.stidworthy@cerc.co.uk


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