Short-Term Machine Learning Calibration of PID Sensors for Ambient VOC OH reactivity - Supplementary Material

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Authors: Han Yang
Cited by: 0

Abstract

This document provides supplementary tables and figures supporting the manuscript “Short-Term Machine-Learning Calibration of PID Sensors for Ambient VOC OH Reactivity”. The primary calibration target is PTR-derived VOC OH reactivity (ROH,PTR, s⁻¹), computed from a selected VOC set measured by PTR-ToF-MS using published OH reaction rate constants. For transparency, the summed VOC mixing ratio (ΣVOCPTR, ppb) based on the same VOC set is also defined as an auxiliary reference metric.

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Atmospheric chemistry and aerosols Advanced Chemical Sensor Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026