The latest in air quality monitoring

Clarity’s air quality sensing-as-a-service solution uses cloud analytics to calibrate data from each of its Nodes for air quality events like wildfire smoke.

Adding a global pandemic to wildfire season contributes greatly to the threat, and many are looking for answers as the two crises collide.

Hailing from Greece, Sotirios Papathanasiou is an air quality expert. His blog, See The Air, focuses on air quality monitoring, pollution analysis, and activism pushing cities around the world to concentrate on clean air.

The pandemic has created a weird test case of what might happen if humanity really reduced its fossil fuel-related emissions.

The Pearson squared correlation coefficient (R²) is calculated to determine how measurements from a device under analysis correlate with measurements of a reference instrument, or in other words, how well the device under analysis measures changes in pollutant concentration compared to the reference instrument.

Mean Absolute Error (MAE) is calculated to determine the absolute difference between the measurements of a device under analysis and the measurements of a reference instrument. It is the average of the absolute value of the deviations between measurements of the two devices. In other words, it shows how different measurements from the two devices are in value.

The wide acceptance and adoption of indicative monitoring technologies in air quality management practices are enabling new insights and actions at lower costs, higher data resolutions, and with less maintenance. For these benefits to truly shine through, we must first address the most important question when it comes to taking air quality readings as truth - how accurate is the sensor?

From June 30 to July 2, the Clarity team participated in the Air & Waste Management Association’s 113th Annual Conference & Exhibition.

Whether you’re looking to purchase a mask, researching DIY protective gear, or a tinkerer and data nerd like us, read on to see how we set up an experiment to design our own PPE and test out different protective masks.

As we post this blog, most of our daily lives have been disrupted by the coronavirus COVID-19 outbreak. During a time of uncertainty shrouded by fear, we are grateful for first responders, medical staff, and scientists everywhere at the frontline of this pandemic.