Abstract. As climate change and urbanization intensify, heritage buildings are increasingly exposed to both environmental and anthropogenic stressors, making their preservation more complex and costly. This study presents an integrated approach that combines Computational Fluid Dynamics (CFD) simulations, Heritage Building Information Modeling (H-BIM), and microclimate monitoring, enhanced by statistical analysis, to assess deterioration risks in historic structures. By establishing optimized monitoring intervals and evaluating environmental variability, we assess the potential to reduce sensor density without compromising data fidelity. Real-time observations are paired with predictive modeling to identify vulnerable zones early on. Our findings indicate that data-driven preventive monitoring, supported by advanced simulations, offers a practical and scalable strategy for reducing long-term deterioration and enhancing conservation planning.
Liao et al. (Wed,) studied this question.