2026-06-08T03:45:45Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1035352025-03-18T15:05:53Zcom_20.500.14352_14col_20.500.14352_15

Calibration of Sensor Network for Outdoor Measurement of PM2.5 on High Wood-Heating Smoke in Temuco City Muñoz Poblete, Carlos Omar Huircan Quilaqueo, Juan Ignacio Jaramillo Montoya, Francisco Boso Gaspar, Àlex Trucillo, Paolo In order to ascertain the spatial and temporal changes in the air quality in Temuco City, Chile, we created and installed a network of inexpensive sensors to detect PM2.5 particulate matter. The 21 measurement points deployed were based on a low-cost Sensiron SPS30 sensor, complemented with temperature and humidity sensors, an Esp32 microcontroller card with LoRa and WiFi wireless communication interface, and a solar charging unit. The units were calibrated using an airtight combustion chamber with a Grimm 11-E as a reference unit. The calibration procedure fits the parameters of a calibration model to map the raw low-cost particle-material measurements into reliable calibrated values. The measurements showed that the concentrations of fine particulate material recorded in Temuco present a high temporal and spatial variability. In critical contamination episodes, pollution reaches values as high as 354 µg/m3, and at the same time, it reaches 50 µg/m3 in other parts of the city. The contamination episodes show a similar trend around the city, and the peaks are in the time interval from 07:00 PM to 1:00 AM. In the winter, this time of day coincides with when families are usually home and there are low temperatures outside 2024-04-25T17:16:34Z 2024-04-25T17:16:34Z 2024-04-25T17:16:34Z 2023-08-03 journal article https://hdl.handle.net/20.500.14352/103535 XXXX-XXXX 10.3390/pr11082338 2227-9717 eng info:eu-repo/grantAgreement/IDI18-0003 info:eu-repo/grantAgreement/FB210024 Muñoz, C.; Huircan, J.; Jaramillo, F.; Boso, Á. Calibration of Sensor Network for Outdoor Measurement of PM2.5 on High Wood-Heating Smoke in Temuco City. Processes 2023, 11, 2338. https://doi.org/10.3390/ pr1108233 https://creativecommons.org/licenses/by/4.0/ open access Attribution 4.0 International MDPI