Abstract
The localization of a source emitting gas to the outdoor atmosphere has many applications for air quality monitoring and chemical hazard mitigation. Chemical Plume Tracing (CPT) refers to the utilization of autonomous robotic platforms equipped with chemical and anemometry sensors to preform this task. Numerical simulations are an important tool in the development of CPT algorithms. Here, for the first time, high fidelity environmental simulations of the Atmospheric Boundary Layer (ABL) are utilized for the study of CPT algorithm. Large Eddy Simulation (LES) modeling using the PALM model is applied for producing high-resolution three-dimensional flow and dispersion simulations of the outdoor ABL. A CPT bio-inspired algorithm is simulated on top of the modeled environment. Multiple tests are conducted, following statistical analysis of the overall performance. The advantage of the suggested modeling framework over former used methods is exemplified through the study of two issues. First, a theoretical optimal velocity of the robotic platform is quantitatively estimated. Secondly, based on the three-dimensional nature of LES modeling, an extension of the CPT algorithm, aimed for the localization of elevated sources, is presented and tested. The comparison of CPT performance for elevated versus ground sources reveals the considerable difficulty involved in tracing an elevated plume.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
