Ozone
Reliable real-time
data on O3
Where is it found?
They are largely emitted by cars and other vehicles, fossil fuel power plants, oil refineries, the agriculture sector and a number of other industries.
Why is it harmful?
At lower levels, it is an important greenhouse gas and an air pollutant, which is harmful to human and ecosystem’s health. It is also the major component of urban smog.
O3 cartridge
The ozone cartridge has a built-in electrochemical sensor responsive to NO2 and O3 concentrations. Hence, in order to measure accurately the O3 concentration, it is required to install in the same device the NO2 cartridge.
The Kunak algorithm considers both concentrations allowing for accurate O3 measurements with, with no NO2 influence, even at high temperatures which are related to higher O3 concentration due to the solar radiation.
Technical specifications
- Measurement range: concentration range measured by the sensor.
- Resolution: the smallest unit of measurement that can be indicated by the sensor.
- Operating temperature range: temperature interval at which the sensor is rated to operate safely and provide measurements.
- Operating RH range (Recommended RH range): humidity interval at which the sensor is rated to operate safely and provide measurements.
- Operating life: lifetime of the sensor at normal conditions.
- Guarantee range: limit covered by the guarantee.
- LOD (Limit Of Detection): measured at laboratory conditions at 20ºC and 50% RH. The limit of detection is the minimum concentration that can be detected as significantly different at zero gas concentration, based on the metric from the Technical Specification CEN/TS 17660-1:2022.
- Repeatability (measured at laboratory conditions at 20ºC and 50% RH): closeness of the agreement between the results of successive measurements of the same measure carried out under the same conditions of measurement, based on the metric from the Technical Specification CEN/TS 17660-1:2022.
- Response time: time needed by the sensor to reach 90% of the final stable value.
- Statistical metric: statistics obtained between the device hourly measurements and reference instruments for 1 to 8 months field test between -10 to +30ºC in different countries. (*) The expected error for PM10 is higher in the presence of coarse particles.
- Mean Absolute Error: it is the average mean absolute error (MAE) obtained between the device hourly measurements and reference instruments for 1 to 8 months of field test between -10 to +30ºC in different countries.
- Error: it is the error of the sensor at reading measurement or full scale.
- DQO-Typical U(exp): Data Quality Objective expressed as the Expanded Uncertainty in the Limit Value obtained between hourly measurements of the device and the reference instruments for 1 to 8 months field test between -10 to +30ºC in different countries, based on the metric from the European Air Quality Directive 2008/50/EC and from the Technical Specification CEN/TS 17660-1:2022. (*) The expected error for PM10 is higher in the presence of coarse particles.
- Typical intra-model variability: calculated as the standard deviation of the three sensor means in 1 to 8 months field test between -10 to +30ºC in different countries.