Identifying regional air quality trends from sensor network data: An analysis of PM2.5 measurements in Hampshire

Vanderwel, Christina, Simmonds, Oliver and Peng, Zi Xuan (2024) Identifying regional air quality trends from sensor network data: An analysis of PM2.5 measurements in Hampshire University of Southampton 4pp. (doi:10.5258/SOTON/PP0068).

Record type: Monograph (Project Report)

Abstract

This investigation by the University of Southampton aimed to analyse air quality sensor measurements from across Hampshire to: 1. Investigate the extent and severity of air pollution in the region. 2. Identify trends that could lead to targeted interventions and an improvement in quality of the air we breathe. Our analysis focused on a dataset of measurements of particulate matter smaller than 2.5 μm (PM2.5), the major cause of the negative health effects of poor air quality. The data was collected from a network of 17 EarthSense Zephyr [6] ambient air quality monitors spread across the region (Figure 1), measured every 15-minutes over the period of January 2023 – March 2024, supplemented with data from DEFRA’s Automatic Urban and Rural Network [7] and weather data from the Met Office [8]. We applied statistical and machine learning techniques to identify trends in the data

Text

107257 - A4 4 page policy brief - Air Quality - Christina Vanderwel - PRINT - Version of Record

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