Spatial and temporal distribution of LPG dispersion concentration in small-scale space

Yang Gao, Hui Zhang, Lei Xiao, Yanyun Fu, Xiaoxue Ma
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Abstract

Spatial and temporal distribution of dangerous chemicals gas is critical for emergency management and emergency evacuation. Experiment and simulation are usually used to estimate gas leakage concentration. However, it takes time to obtain accurate results quickly. In order to study the dispersion of dangerous chemicals in transportation, based on the similarity theory, a small-scale experimental platform for heavy gas leakage of expressway was built, and the small-scale space experiment was carried out on the dispersion process of liquefied petroleum gas (LPG). Through qualitative and quantitative analysis of the experimental results, A model for continuous leakage dispersion of heavy gas under specific conditions and a fast calculation equation are constructed. The model and the fast calculation equation were validated through the large-scale test data from abroad. The validation results show that the error of mathematical model is small. The calculation equation can be used to estimate the concentration of heavy gas in hazardous chemical leakage accident quickly. In this paper, Data analysis model based on SPSS is developed to predict the gas concentration quickly. Database of heavy gas leakage dispersion is established. It can provide theoretical and data support for emergency management agency to delimit the dispersion range and warning area accurately and quickly. The research results are of great significance for enriching the law of heavy gas leakage dispersion and improving the rescue and disposal ability of emergency agencies.
小尺度空间液化石油气弥散浓度时空分布
危险化学品气体的时空分布对应急管理和紧急疏散至关重要。气体泄漏浓度的估算通常采用实验和模拟两种方法。然而,快速获得准确的结果需要时间。为了研究危险化学品在运输过程中的扩散,基于相似理论,搭建了高速公路重气体泄漏小型实验平台,对液化石油气(LPG)的扩散过程进行了小型空间实验。通过对实验结果的定性和定量分析,建立了特定条件下重气体连续泄漏扩散模型和快速计算方程。通过国外大型试验数据验证了该模型和快速计算方程。验证结果表明,数学模型误差较小。该计算公式可用于危险化学品泄漏事故中重气体浓度的快速估算。本文建立了基于SPSS软件的数据分析模型,快速预测瓦斯浓度。建立了重气体泄漏扩散数据库。为应急管理机构准确、快速地划定疏散范围和预警区域提供理论和数据支持。研究成果对于丰富重气体泄漏扩散规律,提高应急机构的救援处置能力具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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