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严重核电站事故中污染空气泄漏云团附近剂量分布的模拟

SIMULATION OF DOSE DISTRIBUTION IN VICINITY OF CLOUD OF CONTAMINATED AIR LEAKAGE FROM SEVERE NPP ACCIDENT.

作者信息

Klusoň Jaroslav, Urban Tomáš

机构信息

Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, 11519 Prague 1, Czech Republic.

出版信息

Radiat Prot Dosimetry. 2019 Dec 31;186(2-3):342-345. doi: 10.1093/rpd/ncz258.

Abstract

Method of Monte Carlo simulation of gamma radiation fields in the vicinity of the cloud of air contaminated by the radionuclides from emergency leakage from nuclear power plant was designed and tested. Air kerma rates distributions as well as gamma field spectral distributions were calculated for the Gaussian cloud model, different atmospherical conditions and emergency scenarios source terms. Based on this model, the radiation doses in the aerial vehicle (helicopter) and its shielding properties in the radiation fields in cloud vicinity were evaluated with an aim to prepare a method providing data for planning adequate radiation protection of the personnel during airborne monitoring/interventions.

摘要

设计并测试了用于模拟核电站紧急泄漏的放射性核素污染空气云附近伽马辐射场的蒙特卡罗方法。针对高斯烟云模型、不同大气条件和应急场景源项,计算了空气比释动能率分布以及伽马场能谱分布。基于该模型,评估了飞行器(直升机)中的辐射剂量及其在烟云附近辐射场中的屏蔽特性,目的是制定一种方法,为机载监测/干预期间人员的充分辐射防护规划提供数据。

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