This study evaluates the use of the Kunak AIR Pro device for continuous monitoring of odorants at a wastewater treatment plant and a landfill.
The results show that sensor-based systems are effective tools for monitoring and managing odorant compounds, providing key information for corrective measures and improving air quality.
I. Lara-Ibeas*, J. Fernández-Huerta, E. Ibarrola-Ulzurrun.
Kunak Technologies, Polígono Parque Empresarial la Muga, 9, 31160 Orcoyen, Navarra
* ilara@kunak.es
WWTP Pinedo, one of the biggest wastewater treatment plants in Spain, installed a network of eNoses on the site in Valencia.
An important element of the learning process of eNoses is to have sufficient human references that can analyzed against the eNose data. So far, reports entered by citizens using the NASAPP platform have been used as human references in this project.
G. Monzón, S. Bootsman
Comon Invent, Delft, the Netherlands. www.comon-invent.com
* g.monzon@comon-invent.com
This article presents an approach for continuous duct sampling, designed to feed an IOMS trained with dynamic olfactometry data from the same system. The setup enables sequential sampling of odor inflows and outflows through a reduction device, allowing for efficiency evaluation.
It addresses challenges such as reducing humidity, implementing hardware/software adjustments to account for temperature fluctuations, and developing algorithms to correlate odor concentrations between sampling and the IOMS. Field-calibrated results are presented from a system installed in a waste treatment plant, analyzing both odor fluctuations during the plant's daily cycle and the efficiency of the odor reduction unit.
F. Cangialosia 1*, A. Fornarob 2
1 Tecnologia e Ambiente (T&A), Putignano (BA), Italia
2 Labservice Analytica, Anzola Dell’Emilia (BO), Italia
* federico.cangialosi@icloud.com
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