AQMesh News

Professor Rod Jones’ presentation on large scale deployment of sensors

At the IAPSC in May 2017, Professor Rod Jones of the University of Cambridge presented his case study on large scale deployment of sensors, which included showing how AQMesh can be used to distinguish between local sources of pollution and regional sources of pollution. Read the full presentation. Find out more about AQMesh in Cambridge, … Read more >>

AQMesh measures SO2 and PM from Nicaragua volcano

AQMesh is currently in use in Nicaragua, monitoring air quality in communities living near Masaya volcano. The six AQMesh pods have been used to show variations in volcanogenic SO2 and PM levels at different times and at different locations across the area.

New AQMesh co-location comparisons show very strong correlation values

Recent co-location comparison trials using the latest AQMesh processing (v4.2.3) have further proven AQMesh performance with impressive R2 values in excess of O.8 and 0.9 for NO2 in Benelux, Slovakia and Spain.

Particulate matter (PM2.5) was also monitored throughout the Slovakia trial and delivered an R2 value of 0.98.

AQMesh complements air quality modelling, reference equipment and indicative data sources

Leading small sensor air quality monitor, AQMesh, has recently been shown to work alongside passive samplers and air quality models, as well as complementing reference station networks. A recent study shows AQMesh calibration against diffusion tubes and two 2017 conferences have highlighted the potential of such systems used in an air quality network. At the … Read more >>

AQMesh can also be scaled using diffusion tubes

The AQMesh team has carried out a test which shows that calibration (scaling) of AQMesh against one, or ideally several, diffusion tubes, is a viable option when no local reference station is available. When three AQMesh pods and four NO2 diffusion tubes were co-located against a reference station, the diffusion tube readings were so consistent … Read more >>

Assess employee air pollution exposure with AQMesh

On 9th April The Sunday Times reported that employers have been told they are legally obliged to protect their staff from diesel fumes — and could be sued if workers develop cancer later in life. Read the full article here. Employers who want to assess risk to employees can use AQMesh to take round-the-clock readings of … Read more >>

Easy integration of air quality data for smart cities with AQMesh

Smart city projects pursue the vision of instrumenting a city with a large number of measurement ‘nodes’ and distributing this information to a range of stakeholders. But at that point different priorities emerge: IT teams are attracted by how readily data can be integrated and communicated whilst air quality professionals focus on how meaningful the air quality readings are. … Read more >>

AQMesh in BBC air quality feature

AQMesh showed its versatility in the BBC’s Inside Out feature on air quality (West region). The programme aired on 6th March but is available on iPlayer at www.bbc.co.uk/iplayer/episode/b08h4m30 until 5th April. AQMesh pods were used on the back of a bicycle and inside a taxi, to show the NO2 and particulate matter exposure experienced by … Read more >>

Value for money air quality sensors for smart cities

Smart city projects increasingly seek to include air quality measurements. If city authorities and the public are being asked to act based on air quality readings they must be credible. Whilst cheap sensors may offer easily integrated readings, they offer poor value for money if the information they produce cannot be trusted by the public, … Read more >>

AQMesh demonstrates legitimacy of small sensors for air quality in Cambridge

At the RSC AAMG event on ‘Air Quality Monitoring: Evolving Issues and New Technologies’ Professor Rod Jones of the University of Cambridge presented a paper showing very encouraging results. “Because we know that all the pods read the same and because we have a comparison between one pod and a reference instrument we can say … Read more >>

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