The accidental spilling of cryogenic liquid leads to formation of a spreading pool, which may result in pool fires, BLEVE(boiled liquid evaporate vapor explosion) or vapor cloud fire, such as liquefied natural gas, is flammable. The key aspect of evaluating the consequence of such a disaster is to predict vaporization rate of the spreading cryogenic liquid pool. In this study, an empirical function was established to predict the temperature gradient of concrete. Afterwards an improved 1-D heat conduction equation was established to predict heat conduction of the spreading cryogenic liquid, and then vaporization rate was measured. In addition, to validate accuracy of the improved 1-D heat conduction equation, small-scale experiments were conducted to calculate vaporization rate for a spreading cryogenic liquid pool. The resulting vaporization rate decreased with discharge time, and increased with spill rate. The established empirical function was used to predict the temperature gradient displayed satisfactory accuracy with absolute average relative errors (AAREs) less than 10%; the improved 1-D heat transfer model AAREs were less than 13% compared with the experimental value. In summary, the improved 1-D heat transfer model can be applied to predict vaporization rate if the spill rate and discharge time are confirmed.

低温液体的意外溢出导致散布池的形成，这可能导致池着火，BLEVE（沸腾的液体蒸发蒸气爆炸）或液化天然气等蒸气云着火。评估此类灾难后果的关键方面是预测正在扩散的低温液体池的蒸发速率。在这项研究中，建立了经验函数来预测混凝土的温度梯度。此后，建立了改进的一维热传导方程来预测正在扩散的低温液体的热传导，然后测量蒸发速率。另外，为了验证改进的一维热传导方程的准确性，进行了小型实验以计算散布的低温液体池的蒸发速率。所产生的汽化速率随排放时间而降低，并随溢出速率而提高。建立的经验函数用于预测温度梯度，显示出令人满意的精度，绝对平均相对误差（AARE）小于10％；改进后的一维传热模型AAREs小于实验值13％。总之，如果确定溢出率和排放时间，改进的一维传热模型可用于预测汽化率。