(373b) Development of Open-Source Software Tools for Data-Driven Canister Sampling Site Selection

This presentation delves into the development of open-source software tools tailored for canister sampling site selection by utilizing data-driven modeling approach. By strategically integrating PSE principles with chemical engineering practices, the proposed approach aims to address the complexities of measuring background volatile organic compound (VOC) levels under diverse environmental conditions. Emphasizing the transformation of algorithmic protocols into reliable software implementations, this study focuses on the development of PSE tool and protocol which encompass meticulous dataset collection and analysis, leveraging robust decision-making processes. The outcomes are poised to contribute to the advancement of PSE research by providing accessible, open-source software solutions for enhanced VOC monitoring and risk mitigation.