化学火灾和爆炸有毒物质排放的预测

N. Moussa, V. Devarakonda
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引用次数: 2

摘要

在相当长的一段时间里,危害分析界一直无法预测工业和仓库火灾以及涉及活性化学品的爆炸所产生的有毒排放物。为了解决这个问题,我们开发了一个名为ADORA的模型,用于有毒排放物的时间演变及其在大气中的扩散。在每个时间步,质量、能量和动量守恒被解决,同时调用热化学平衡或其约束版本来确定云中的物质组成。在云演化的初始阶段,温度通常很高,并且存在热化学平衡。当云由于空气夹带而冷却下来时,其组成由反应动力学决定。我们使用一种计算效率高的方法,称为“约束平衡”,本质上是一种近似的方法来计算温度依赖的反应动力学。在这种方法中,随着空气和水分被带入羽流,物种浓度不断更新,直到温度下降到足以“冻结”所关注的有毒物种。最受关注的有毒物质的冻结温度是通过检查与温度有关的反应动力学速率来确定的。选择动力学相对于云动力学太慢的温度作为冻结温度。这种方法使我们能够计算云燃烧速率、温度、物质组成、大小、上升和从释放位置顺风移动的距离作为时间的函数。给出了炸药爆炸和涉及几种反应性化学物质的火灾的计算示例。对于前者,模型对二氧化碳、一氧化碳、氮氧化物和总非甲烷碳氢化合物等主要物种的预测与有限的现有数据吻合得很好。该模型预测了反应物的时间依赖性消耗和反应中间体的形成以及稳定的最终产物。介绍了氟化氢等有毒物质的浓度曲线,并讨论了其变化趋势。我们模型的预测可用于改进准备和应急响应计划,以尽量减少涉及反应性和高能材料的事故的后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Toxic Emissions from Chemical Fire and Explosion
The prediction of toxic emissions from industrial and warehouse fires and explosions involving reactive chemicals has eluded the hazard analysis community for quite some time. To address this issue, we developed a model called ADORA for the time evolution of toxic emissions and their dispersion in the atmosphere. At each time step, the conservation of mass, energy and momentum are solved while invoking thermochemical equilibrium or a constrained version thereof to determine the species composition in the cloud. During the initial stages of cloud evolution, the temperatures are usually high and thermochemical equilibrium applies. As the cloud cools down later due to air entrainment, the composition is governed by reaction kinetics. We use a computationally efficient approach called “constrained equilibrium” which is essentially an approximate way of accounting for temperature dependent reaction kinetics. In this approach, as air and moisture are entrained into the plume, the species concentrations are updated until the temperature decreases sufficiently to “freeze out” the toxic species of concern. The freeze-out temperatures for the toxic species of greatest concern are determined by examining the temperature dependent reaction kinetic rates. The temperatures below which the kinetics are too slow relative to cloud dynamics are selected as freeze out temperatures. This approach allows us to calculate as a function of time the cloud combustion rate, temperature, species composition, size, rise and travel distance downwind from the release location. Sample calculations for the detonation of explosives and for fires involving several reactive chemicals are given. For the former, the model predictions of major species such as carbon dioxide, carbon monoxide, nitrogen oxides and total non-methane hydrocarbons agree well with the limited available data. The model predicts the time dependent consumption of reactants and formation of reaction intermediates as well as stable end products. The concentration contours for toxic species such as hydrogen fluoride are presented and the trends discussed. The predictions of our model can be used to improve preparedness and emergency response planning in order to minimize the consequences of accidents involving reactive and energetic materials.
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