Investigation on back-calculation of leakage source information of gas based on modified Gaussian model

doi:10.16265/j.cnki.issn1003-3033.2022.07.0741

Abstract

Abstract:

In order to quickly and accurately predict the intensity and location of gas leakage, the objective function of the source term information back-calculation model was established by coupling the atmospheric diffusion model and optimization algorithm. The location and intensity of the leakage source were calculated based on the concentration analysis of the downwind direction of the leakage source, and the hybrid PSO-DE algorithm was applied to the source information back-calculation. The influence of the forward gas diffusion model on the source term information back-calculation was analyzed, and the smoke lifting height in the Gaussian plume model was corrected. At the same time, the ground reflection coefficient is added. The source back-calculation was carried out with the simulation data of the AFTOX as the monitored leakage concentration, and the relative error was reduced to 1%. The results show that the modified Gaussian diffusion model can verify the application of particle swarm optimization-differential evolution algorithm in the back-calculation of source term information, and the application of this model in source information back-calculation can effectively improve the accuracy of source term information backcalculation

Key words: Gaussian plume model, gas leakage, investigation on back-calculation of source information, particle swarm optimization(PSO)-differential evolution(DE) algorithm, optimization algorithm, American air force toxic chemicals diffusion model (AFTOX)

LIU Chang, SU Teng, ZHOU Ru, JIANG Juncheng. Investigation on back-calculation of leakage source information of gas based on modified Gaussian model[J]. China Safety Science Journal, 2022, 32(7): 98-104.

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序号	坐标	质量浓度/(mg·m^-3)
1	(280,-20,2)	282.5
2	(330,-20,2)	255.6
3	(380,-20,2)	225.3
4	(430,-20,2)	197.1
5	(480,-20,2)	172.7

参数	真实值	反算结果	相对误差
Q/(kg·s^-1)	2.00	1.999 7	0.015
x/m	-80	-80.206 8	0.258 5
y/m	20	-19.977 0	0.115

AFTOX模型		Pasquill-Gifford模式
坐标	质量浓度/(mg·m^-3)	坐标	质量浓度/(mg·m^-3)
(300,-10,2)	500	(300,-10,2)	484.2
(400,-10,2)	356	(400,-10,2)	303.2
(500,-10,2)	262	(500,-10,2)	209.4
(600,-10,2)	200	(600,-10,2)	154.5
(700,-10,2)	158	(700,-10,2)	119.6

类型	案例1	案例2	案例3	案例4
监测数据	AFTOX模型	AFTOX模型	Pasquill-Gifford模式	Pasquill-Gifford模式
源反算模型	基于修正的高斯烟羽模型	高斯烟羽模型	高斯烟羽模型	修正的高斯烟羽模型

参数	真实值	案例1		案例2		案例3		案例4
参数	真实值	结果	相对误差/%	结果	相对误差/%	结果	相对误差/%	结果	相对误差/%
Q/(kg·s^-1)	2.32	2.086 7	10.06	2.30	0.86	2.09	9.91	2.31	0.43
x/m	-50	-46.751 2	6.50	-50.46	0.92	43.72	12.56	-49.93	0.14
y/m	10	9.480 7	5.19	9.89	1.10	8.78	12.20	10.02	0.2