A REAL-TIME UNCERTAINTY KNOWLEDGE AND TRAINING DATABASE

被引：0
|
作者：
JORGENSEN, HE
SANTABARBARA, JM
MIKKELSEN, T
机构：
来源：
RADIATION PROTECTION DOSIMETRY | 1993年 / 50卷 / 2-4期
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D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The paper describes an experimentally obtained database for training of uncertainties and data interpretation in connection with local scale accidental atmospheric dispersion scenarios. Based on remote measurement techniques using lidars, sequential 'snapshots', or movies. of the fluctuating concentration profiles during several full scale diffusion experiments has been obtained. The aim has been to establish data sets suitable tor comparison and training with the real-time atmospheric dispersion models in decision support systems, such as the RODOS system under development within the CEC.
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页码：289 / 294
页数：6
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