极值分布函数在核电厂设计基准气象参数中的应用

Abstract

Abstract: Based on the meteorological data from weather stations around several domestic nuclear power plants, the statistical results of extreme minimum temperatures, minimum central pressures of tropical cyclones and some other parameters are calculated using extreme value Ⅰ distribution function (EV-Ⅰ), generalized extreme value distribution function (GEV) and generalized Pareto distribution function (GP), respectively. The influence of different distribution functions and parameter solution methods on the statistical results of extreme values is investigated. Results indicate that generalized extreme value function has better applicability than the other two distribution functions in the determination of standard meteorological parameters for nuclear power plants.

Key words: extreme value distribution function, extreme minimum temperature, tropical cyclones, minimum central pressure, nuclear power plants

CLC Number:

P401

Jiang Haimei, Liu Xinjian, Qiu Lin, Li Fengju. Application of Extreme Value Distribution Function in the Determination of Standard Meteorological Parameters for Nuclear Power Plants[J].RADIATION PROTECTION, 2014, 34(4): 224-233.

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Application of Extreme Value Distribution Function in the Determination of Standard Meteorological Parameters for Nuclear Power Plants

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