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作 者:陶乃贵[1] 鲍昕杰 杨宗甄 Tao Naigui;Bao Xinjie;Yang Zongzhen(Suzhou Nuclear Power Research Institute,CGN,Suzhou,Jiangsu 215004)
机构地区:[1]中广核集团苏州热工研究院有限公司,江苏苏州215004
出 处:《辐射防护通讯》2021年第6期18-24,共7页Radiation Protection Bulletin
摘 要:根据某核电厂址的现场示踪试验采样结果,结合网格自适应直接搜索算法(MADS),比较了基于单次采样平均、单次释放平均、单次采样一次优化以及单次释放一次优化4种数据处理方法对大气扩散参数结果的影响。研究结果表明,应用该优化方法获得的计算扩散因子与测量结果总体上很相近,结果可信且能够反映厂址的大气扩散参数环境特征。基于单次采样的数据处理方法的结果可信度不如基于单次释放的数据处理结果。在基于单次释放数据的处理方法中,单次释放平均和单次释放一次优化的结果相近,优化结果均较为可信,可根据厂址其他环境特征或者从弥散结果保守性方面进行选择。Based on tracer test data in a nuclear power plant site and combined with the MADS optimization method,we compare the differences of diffusion parameters obtained with data processing methods of single sampling average,single release average,single sampling one time optimization,and single release one time optimization.It turns out that,the calculated diffusion concertrations are close to the measured in general,the data is credible and can reflect the environmental characteristics of atmospheric diffusion parameters of the site.The results of data processing based on single sampling are not as credible as those from single release.Both processing methods of single release provide similar and relatively credible results,which can be selected for use according to other environmental characteristics of the site or from the conservative aspects of dispersion results.
分 类 号:X169[环境科学与工程—环境科学]
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