Kamboj S, Cheng J-J, Yu C, Domotor S, Wallo A
Argonne National Laboratory, Argonne, IL 60439-4832, USA.
J Environ Radioact. 2009 Dec;100(12):1012-8. doi: 10.1016/j.jenvrad.2009.03.018. Epub 2009 Apr 28.
The RESRAD-RDD methodology was applied to model the short- and long-term radiation exposures after a hypothetical radiological dispersal device (RDD) event in an urban environment. It was assumed that an RDD event would result in outside surface contamination of the exterior walls and roofs of surrounding buildings, as well as associated paved areas and lawns. The contaminants also might move inside the buildings and deposit on floors and interior walls. Some important input parameters include occupancy factors, building characteristics, and weathering of surface contamination. The modeling results include predicted external dose rates, relative contributions from important surfaces, annual and cumulative doses, and radionuclide concentrations. Potential countermeasures evaluated include grass removal, soil removal, and washing of paved areas.
RESRAD - RDD方法被用于模拟城市环境中假设的放射性散布装置(RDD)事件后的短期和长期辐射暴露情况。假设RDD事件会导致周围建筑物外墙和屋顶以及相关铺砌区域和草坪的外部表面受到污染。污染物也可能进入建筑物内部并沉积在地板和内墙表面。一些重要的输入参数包括占用因子、建筑物特征以及表面污染物的风化情况。模拟结果包括预测的外部剂量率、重要表面的相对贡献、年度和累积剂量以及放射性核素浓度。评估的潜在应对措施包括清除草坪、清除土壤以及清洗铺砌区域。