A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants

Air pollution involves multiple health and economic challenges. Its accurate and low-cost monitoring is important for developing services dedicated to reduce the exposure of living beings to the pollution. Particulate matter (PM) measurement sensors belong to the key components that support operation of these systems. In this work, a modular, mobile Internet of Things sensor for PM measurements has been proposed. Due to a limited accuracy of the PM detector, the measurement data are refined using a two-stage procedure that involves elimination of the non-physical signal spikes followed by a non-linear correction of the responses using a multiplicative surrogate model. The correction layer is derived from the sparse and non-uniform calibration data, i.e., a combination of the measurements from the PM monitoring station and the sensor obtained in the same location over a specified (relatively short) interval. The device and the method have been both demonstrated based on the data obtained during three measurement campaigns. The proposed correction scheme improves the fidelity of PM measurements by around two orders of magnitude w.r.t. the responses for which the post-processing has not been considered. Performance of the proposed surrogate-assisted technique has been favorably compared against the benchmark approaches from the literature

Inception report. Support in development and implementation of Air Quality e-Reporting in West Balkan.

The Norwegian Institute for Air Research (NILU), 4sfera Innova SLU (4sfera) and EKONERG have been commissioned to develop a solution for Air Quality e-Reporting for the West Balkan countries

Inception report. Support in development and implementation of Air Quality e-Reporting in West Balkan.

The Norwegian Institute for Air Research (NILU), 4sfera Innova SLU (4sfera) and EKONERG have been commissioned to develop a solution for Air Quality e-Reporting for the West Balkan countries

Final report. Support in development and implementation of air quality e-Reporting in West Balkan.

The Norwegian Institute for Air Research (NILU), 4sfera Innova SLU (4sfera) and EKONERG have been commissioned to develop a software solution for Air Quality e-Reporting for the West Balkan countries. The software solution has been successfully installed and training has been provided. For the reporting of air quality according to the air quality directives 2004/107/EC and 2008/50/EC, Albania, Montenegro and Serbia has used the software for reporting 2015 data to EEA

Inception report. Support in development and implementation of Air Quality e-Reporting in West Balkan.

The Norwegian Institute for Air Research (NILU), 4sfera Innova SLU (4sfera) and EKONERG have been commissioned to develop a solution for Air Quality e-Reporting for the West Balkan countries

A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants

Air pollution involves multiple health and economic challenges. Its accurate and low-cost monitoring is important for developing services dedicated to reduce the exposure of living beings to the pollution. Particulate matter (PM) measurement sensors belong to the key components that support operation of these systems. In this work, a modular, mobile Internet of Things sensor for PM measurements has been proposed. Due to a limited accuracy of the PM detector, the measurement data are refined using a two-stage procedure that involves elimination of the non-physical signal spikes followed by a non-linear correction of the responses using a multiplicative surrogate model. The correction layer is derived from the sparse and non-uniform calibration data, i.e., a combination of the measurements from the PM monitoring station and the sensor obtained in the same location over a specified (relatively short) interval. The device and the method have been both demonstrated based on the data obtained during three measurement campaigns. The proposed correction scheme improves the fidelity of PM measurements by around two orders of magnitude w.r.t. the responses for which the post-processing has not been considered. Performance of the proposed surrogate-assisted technique has been favorably compared against the benchmark approaches from the literature