Abstract
Ammonia is a colorless and toxic gas. Due to its fast leakage rate, the leakage port is not easy to detect, and it is often difficult to seal it, causing more serious personal injuries and property losses. So it is a key problem to predict the intensity and location of toxic and harmful gas leakage quickly and accurately. Then it needs to combine the atmospheric diffusion model and optimization algorithm to establish the source term information back calculation model, and solve the location and intensity of the leakage source based on the concentration data of the downwind direction of the leakage source. Based on the analysis of the physical and chemical properties of ammonia, according to Wilson plume rising experience formula and Gauss plume model, the leakage model of liquid ammonia storage tank is established, and the effective monitoring points are extracted. According to the concentration of simulated monitoring points, the source information is calculated by particle swarm optimization algorithm. The feasibility of this method in the leakage of liquid ammonia storage tank is verified, which can help emergency response of accidents.
Highlights
According to the relevant accident statistics, more than half of the hazardous chemical accidents are caused by explosion or release of hazardous chemicals [1], because the leakage source and substance cannot be quickly identified, causing a certain range of social panic
More and more leakage accidents in the world have prompted scholars from all over the world to study the traceability of hazardous chemical leakage accidents
The source term information of non-heavy gas diffusion is studied, and the leakage of liquid ammonia storage tank is simulated by MATLAB
Summary
According to the relevant accident statistics, more than half of the hazardous chemical accidents are caused by explosion or release of hazardous chemicals [1], because the leakage source and substance cannot be quickly identified, causing a certain range of social panic. The source term information of non-heavy gas diffusion is studied, and the leakage of liquid ammonia storage tank is simulated by MATLAB. When there are holes or cracks on the tank top or above the liquid level, the gas in the tank leaks rapidly under the pressure At this time, the leakage rate is calculated according to the gas phase leakage formula [3]. The leakage rate is calculated according to the gas phase leakage formula [3] At this time, the whole leakage process can be regarded as continuous leakage, and the Gaussian plume model is used to simulate the gas diffusion. The particle swarm optimization algorithm is used to analysis the source term inverse calculation of gas diffusion in liquid ammonia tank
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