modeling 137cs atmospheric dispersion and assessing associated risks in a hypothetical klt-40s reactor accident

Nuclear emergency management prioritizes minimizing radioactive releases to protect public health and environmental systems. radiological incidents can cause widespread ecosystem contamination with multi-generational consequences. this study employs predictive modeling to assess risks across all incident phases using computational tools and analytical methods.this study evaluates a hypothetical accident scenario involving a one-hour atmospheric release of 137cs from a russian klt-40s small modular reactor (smr) during peak operation in the chabahar region. utilizing the rascal computational code, a regulatory-endorsed tool for radiological emergency response, the research analyzes the isotope’s dispersion dynamics over nine hours. this paper provides both a methodology for identifying hazard zones and a decision-support resource for emergency management officials during incident response. implementation of fundamental protective actions, based on established protocols and real-time incident conditions, remains the responsibility of local authorities according to quantified risk levels.