首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >GIS-BASED TOXIC-GAS-VESSEL LEAKAGE, DISPERSION AND SIMULATIONS
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GIS-BASED TOXIC-GAS-VESSEL LEAKAGE, DISPERSION AND SIMULATIONS

机译:基于GIS的有毒气体泄漏,扩散和模拟

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People have been becoming serious of more and more accidents of toxic-gas-vessel leakage and dispersion (TLD) recently. This paper describes a TLD model derived from Gaussian instantaneous leakage model, and then simulates the process of TLD with GIS. When a high-pressure container or vessel breaks, toxic gas (including gasification of high-pressure liquid gas and low-temperature liquid) will leak, and then the gas cloud will disperse in atmosphere. We can calculate the leakage speed of toxic gas, and decide the primary source of dispersion consequently. Assumed that there are N independent equivalent air masses created during the period of leakage, and every air mass subjects to Gausses instantaneous leakage model. Therefore, the effect of TLD is equivalent to the superposition of the N air masses. Thus, the concentration of toxic gas at certain time, location and weather condition can be calculated. After that, concentration isoline can be traced out. We pay more attention to the concentration isolines at half lethal dose, badly injury dose, middle injury dose, and low injury dose. The relevant areas are called death zone, badly injury zone, middle injury zone, and low injury zone respectively. The dispersion trend and affection range can be predicted by illustrating these zones at different time, wind direction and speed. A decision support system of emergency treatment during TLD can be made together with the data of population distribution, traffic, economy, etc. Besides, it provides an analyze tool to forecast or evaluate casualty in TLD.
机译:最近,人们越来越重视有毒气体容器泄漏和扩散(TLD)事故。本文描述了从高斯瞬时泄漏模型导出的TLD模型,然后使用GIS模拟了TLD的过程。当高压容器或容器破裂时,有毒气体(包括高压液体气体和低温液体的气化)将泄漏,然后气体云会散布到大气中。我们可以计算出有毒气体的泄漏速度,从而确定分散的主要来源。假设在泄漏期间产生了N个独立的等效空气质量,并且每个空气质量都受到高斯瞬时泄漏模型的影响。因此,TLD的效果等同于N个空气质量的叠加。因此,可以计算出特定时间,位置和天气条件下的有毒气体浓度。之后,可以追踪出浓度等值线。我们更加关注半致死剂量,严重伤害剂量,中等伤害剂量和低伤害剂量下的浓度等值线。相关区域分别称为死亡区,重伤区,中伤区和低伤区。通过说明不同时间,风向和风速下的这些区域,可以预测散布趋势和影响范围。可以将TLD期间的紧急事件处理决策支持系统与人口分布,交通,经济等数据一起构建。此外,它还提供了一种分析工具来预测或评估TLD中的人员伤亡。

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