Data-Driven Spatial Analysis of Airborne Particle Contamination in Industrial Environments Using RSM
Source abstract
Abstract
This study focuses on modelling the spatial dependence of airborne particle contamination using Response Surface Methodology (RSM), with consideration of its implications for technical cleanliness and employee health. The analysis is based on two measurement campaigns conducted in an industrial production hall, where particle concentrations were recorded across multiple size fractions using a TROTEC PC220 device. The results demonstrate that RSM effectively captures nonlinear relationships and spatial gradients, enabling the identification of local extrema and contamination hotspots. Statistical analysis confirmed a significant influence of spatial coordinates on particle concentration across all fractions, with finer particles exhibiting stronger spatial dependence, consistent with aerosol behaviour in indoor environments. Quadratic model terms revealed stable hotspot regions persisting even after corrective measures, indicating persistent contamination sources or structural factors. Residual analysis suggested additional unmodeled local sources or transport mechanisms. Based on the integration of RSM and multi-fraction analysis, a mechanistic contamination model (source–transport–receptor framework with deposition processes) is proposed, linking particle behaviour with surface contamination and potential human exposure. The approach enables data-driven, localised contamination control and supports optimisation of technical cleanliness and occupational health conditions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Indoor Air Quality and Microbial Exposure
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Business Management and Economics, Institute of Industrial Engineering, Management and Applied Mathematics, Faculty of Mechanical Engineering, Technical University of Kosice, Letna 1/9, 042 00 Košice, Slovakia
Department of Quality, Safety and Environment, Institute of Special Engineering Processologies, Faculty of Mechanical Engineering, Technical University of Kosice, Park Komenskeho 5, 042 00 Košice, Slovakia
Department of Aviation Engineering, Faculty of Aeronautics, Technical University of Košice, Rampová 7, 041 21 Košice, Slovakia
Funding
Slovak Research and Development Agency · Government of Slovakia
References (30)
Show source-provided references
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