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

Abstract

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.