Integrating atmospheric stability and radioepidemiological models to assess leukemia risk after a hypothetical nuclear accident.

This study examines how atmospheric stability influences radionuclide distribution and leukemia risk among younger populations. By integrating computational simulations with radioepidemiological frameworks and quantum geographic information system-based demographic analysis, this research introduces radiological risk density, which quantifies the intersection of biological vulnerability and population concentration. The study identifies 2-y-old females as the most vulnerable demographic, connecting to the excess relative risk. Additionally, the results reveal that the radiological impact is primarily driven by the critical overlap between high-stability local climates and sensitive demographic zones, rather than by distance from the source term alone. This shift from physical modeling to socio-epidemiological realities underscores the need for adaptive radiological protection strategies that incorporate local climate dynamics and demographics, ultimately enhancing urban resilience and prioritizing public health interventions in high-risk areas.