Bagged neural network model for prediction of the mean indoor radon concentration in the municipalities in Czech Republic.
作者： Jana Timkova , Ivana Fojtikova , Petra Pacherova
DOI: 10.1016/J.JENVRAD.2016.07.008
关键词: Gamma dose 、 Radiation monitoring 、 Soil science 、 Environmental science 、 Artificial neural network 、 Radon 、 Bedrock
摘要: The purpose of the study is to determine radon-prone areas in Czech Republic based on measurements indoor radon concentration and independent predictors (rock type permeability bedrock, gamma dose rate, GPS coordinates average age family houses). relationship between mean observed concentrations monitored (∼22% municipalities) was modelled using a bagged neural network. Levels unmonitored were predicted network model fitted for areas. propensity increased determined by estimated probability exceeding action level 300Bq/m3.
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