Influence of Statistical Compilation of Meteorological Data on Short-Term Atmospheric Dispersion Factors in a Hypothetical Accidental Release of Nuclear Power Plants

기상자료의 통계처리방법이 원자력발전소의 가상 사고시 단기 대기확산인자에 미치는 영향

  • Received : 2012.06.15
  • Accepted : 2012.07.29
  • Published : 2012.09.30


A short-term atmospheric dispersion factor (${\chi}/Q$) is an essential element for radiological dose assessment following a hypothetical accidental releases of light-water nuclear power plants. The U. S. NRC developed PAVAN program to comply with the U. S. NRC's Regulatory Guide 1.145. Meteorological data is an essential element for atmospheric dispersion, and PAVAN uses a joint frequency distribution data, which represents the occurrence probability of wind speed and wind direction for atmospheric stability. Using the meteorological data measured at Kori and Wolsung sites for the last 5 years (from 2006 to 2010), a variety of joint frequency distribution data were prepared to evaluate ${\chi}/Q$ values with different wind speed classifications (U. S. NRC's recommendation and even distribution of occurrence probability) and periods of meteorological data to be analyzed (1 year, 2 year, 3 year, 4 year, 5 year). As a result, it was found that the influence of the wind speed classification on ${\chi}/Q$ values is little, while the influence of the periods of meteorological data to be analyzed is relatively significant, representing more than 1.5 times in the ratio of maximum to minimum values.


Supported by : 교육과학기술부, 원자력안전위원회


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