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A dense gas dispersion model based on revised meteorological parameters and its performance evaluation
Atmospheric Environment ( IF 4.2 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.atmosenv.2020.117953
Juanxia He , Lei Liu , Angang Li , Ye Ma , Dongmei Zhou , Qiyong Zhou , Yongzhong Zhan

Abstract Heavy gas dispersion is significantly impacted by meteorological conditions. In this study, the widely-used heavy gas dispersion model SLAB is revised by using alternative parametrizations for the meteorological parameters, mixing layer height, and wind speed profile. The Nozaki method and the stability modified logarithmic wind profile evolved from the Monin-Obukhov similarity theory are adopted to calculate the mixing layer height and wind speed profile in the improved SLAB-M model, respectively. Dense gas dispersion model evaluation protocols are used to evaluate SLAB-M, and the datasets from the Jack Rabbit II (JR II) 2015 Trials are used to compare the accuracy of the simulations to observed data. The statistical performance measures (SPMs) of SLAB-M are overall a little better than that of SLAB, and SLAB-M effectively simulates heavy gas dispersion under the different meteorological conditions of the JR II 2015 Trials. Thus, it can better satisfy the requirements of consequence assessment and emergency response for the leakage and dispersion of hazardous gasses.

中文翻译:

基于修正气象参数的稠密气体扩散模型及其性能评价

摘要 重气扩散受气象条件影响显着。在本研究中,通过对气象参数、混合层高度和风速剖面使用替代参数化,对广泛使用的重气体扩散模型 SLAB 进行了修正。在改进的SLAB-M模型中,分别采用Nozaki方法和由Monin-Obukhov相似理论演化而来的稳定性修正对数风廓线计算混合层高度和风速廓线。稠密气体扩散模型评估协议用于评估 SLAB-M,来自 Jack Rabbit II (JR II) 2015 试验的数据集用于比较模拟与观察数据的准确性。SLAB-M 的统计性能指标 (SPM) 总体上略好于 SLAB,SLAB-M 有效模拟了 JR II 2015 试验不同气象条件下的重质气体扩散。从而更好地满足危险气体泄漏扩散后果评估和应急响应的要求。
更新日期:2021-01-01
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