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The Air Quality Egg (AQE) is an Internet of Things platform and hobbyist device for crowdsourced citizen monitoring of airborne pollutants. The device won widespread recognition when it was named one of the best projects on Kickstarter in 2012, [ 1 ] and has been featured in a variety of media outlets. [ 2 ]
Water quality monitoring involves analyzing water properties in dams, rivers, lakes and oceans, as well as underground water reserves. The use of many wireless distributed sensors enables the creation of a more accurate map of the water status, and allows the permanent deployment of monitoring stations in locations of difficult access, without ...
The European Environment Agency collects its air quality data from 3,500 monitoring stations across the continent. [24] The measurements made by sensors like these, which are much more accurate, are also near real-time and are used to generate air quality indexes (AQIs). Between the two extremes of large-scale static and small-scale wearable ...
With the accurate method of forecasting air pollution, it becomes easier to manage and mitigate the risks of air pollution and ensure a safe level of pollutant concentration in the region. It also helps assess risks to the environment and the climate caused by poor air quality standards. Accurate forecasting can also lead to ease in planning ...
Passive or "diffusive" air sampling depends on meteorological conditions such as wind to diffuse air pollutants to a sorbent medium. Passive samplers, such as diffusion tubes, have the advantage of typically being small, quiet, and easy to deploy, and they are particularly useful in air quality studies that determine key areas for future continuous monitoring.
IQAir is a Swiss air quality technology company, specializing in protection against airborne pollutants, developing air quality monitoring and air cleaning products. [2] IQAir also operates AirVisual, a real-time air quality information platform.
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AirQ+ is intended as a tool to ascertain the magnitude of the burden and impacts of air population on health in a given locality. [7] It performs this function by featuring data analysis, graphing tools, tables and quantitative information for prominent pollutants such as particulate matter (PM), nitrogen dioxide (NO 2), and tropospheric ozone (O 3).
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