A simple data assimilation method to improve atmospheric dispersion based on Lagrangian puff model

Li, Ke; Liang, Muxuan; Zhou, Jianqiu; Wang, Yunfu; He, Shuijun; Yang, Jie; Yang, Dandan; Shen, Hongmin; Wang, Xiangwei

doi:10.1016/j.net.2021.01.032

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…The experimental data of dispersion width variations with downstream distance are compared with previous correlations of Sutton (Sutton, 1932) 4. The diffusion of air pollution from an elevated point source is estimated by following equation (Pasquill, 1974;Hu and Duan, 2015;Xu et al, 2021;Li et al, 2021).…”

Section: Proposed Model For Smoke Distribution Trajectoriesmentioning

confidence: 99%

Experimental study on the effect of turbulence on hot-smoke dispersion ejecting in a cross flow

INTHAVIDETH

Sekishita

Phommachanh

et al. 2022

JTST

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This study aims to investigate the hot-smoke dispersion behavior released from a chimney in a cross flow experimentally using specially designed wind tunnel. An artificially obtained quasi-isotropic turbulence was generated using an active turbulence generator developed by Makita. A heated jet and an unheated jet with smoke are injected into the cross flow from the vertically-oriented chimney installed in the test section. Smoke motion was captured by high-speed camera to obtain instantaneous patterns of the smoke dispersion. Six-kinds of the featured patterns are clearly identified, such as; (I)(II) bifurcated vortex tubes with and without a strong mutual interaction, (III) connected hairpin-type vortices, (IV)(V) the mixture of the coherent and turbulent vortices, (VI) downwash-type structure. These smoke pattern in the downstream field from the chimney are found to be depended on buoyancy, turbulent motion, and inertia forces. Under the quasi-isotropic turbulence, the smoke dispersion prefers to exhibit a meandering pattern (Mode V) under wide range of adopted flow velocities, which is hardly observed using the grid turbulent test device. Interestingly, as compared to the unheated jet, the meandering smoke structure with heated jet ejection was also observed even at the lower jet velocities and the higher cross flow velocities, suggesting that the buoyancy force shall play an important role on appearance of meandering motion and control the smoke dispersion. Direct smoke exposure case (Mode VI) is preferred to be observed when the quasi-isotropic turbulence is imposed, although the trend of appearance depending on the jet temperature can be predicted even using grid turbulent device. It is concluded that using grid turbulence would not be suitable to predict on the smoke dispersion problem in the actual scale. The time averaged smoke concentrations profiles are analyzed at locations along the cross flow direction and it is revealed that the effective diffusion becomes stronger when the quasi-isotropic turbulence is imposed in the cross wind. Further, it is confirmed that the smoke dispersion behavior can be well-characterized by the existing prediction method based on the point source model.

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Section: Proposed Model For Smoke Distribution Trajectoriesmentioning

confidence: 99%

Experimental study on the effect of turbulence on hot-smoke dispersion ejecting in a cross flow

INTHAVIDETH

Sekishita

Phommachanh

et al. 2022

JTST

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“…In existing studies of nuclear power plant accidents, the uncertainty of source term parameters is one of the main reasons for errors in the evaluation results [22][23][24]. To obtain more accurate source term parameters for nuclear accidents, techniques to invert the source term parameters of nuclear accidents based on monitoring data combined with artificial intelligence algorithms [25][26][27], or with swarm intelligence algorithms such as the cuckoo search algorithm [28], GA [29], and PSO [30] have been widely developed. The combination of these optimized algorithms and measured data can provide identification accuracy of source term parameters for accidents such as radioactive leaks in nuclear power plants of more than 95%, which provides a reference for research in the field of nuclear weapon explosions.…”

Section: Introductionmentioning

confidence: 99%

Identification Method of Source Term Parameters of Nuclear Explosion Based on GA and PSO for Lagrange-Gaussian Puff Model

Zheng¹,

Wang

et al. 2023

Atmosphere

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Many well-established models exist for predicting the dispersion of radioactive particles that will be generated in the surrounding environment after a nuclear weapon explosion. However, without exception, almost all models rely on accurate source term parameters, such as DELFIC, DNAF-1, and so on. Unlike nuclear experiments, accurate source term parameters are often not available once a nuclear weapon is used in a real nuclear strike. To address the problems of unclear source term parameters and meteorological conditions during nuclear weapon explosions and the complexity of the identification process, this article proposes a nuclear weapon source term parameter identification method based on a genetic algorithm (GA) and a particle swarm optimization algorithm (PSO) by combining real-time monitoring data. The results show that both the PSO and the GA are able to identify the source term parameters satisfactorily after optimization, and the prediction accuracy of their main source term parameters is above 98%. When the maximum number of iterations and population size of the PSO and GA were the same, the running time and optimization accuracy of the PSO were better than those of the GA. This study enriches the theory and method of radioactive particle dispersion prediction after a nuclear weapon explosion and is of great significance to the study of environmental radioactive particles.

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“…The gas dispersion model can be used not only in regional ecological monitoring and environmental pollution control but also in emergency response management. The research and applications of the gas dispersion model in the emergency field mainly concentrate on the nuclear accident (Liu et al, 2017;Li et al, 2018;Ulimoen et al, 2022), chemical industrial park (Huang et al, 2019;Cheng et al, 2021), gas pipeline (Mishra et al, 2015 CFD;Yan et al, 2016), and road transportation (Fallah-Shorshani et al, 2015;Kota et al, 2013). Compared with the environmental assessment cases, the emergency simulation often requires a near-field, finer spatial-temporal computational grid and further analysis and adjustment of the model parameters (Rzeszutek, 2019).…”

Section: Introductionmentioning

confidence: 99%

Comparative study on numerical simulation based on CALPUFF and wind tunnel simulation of hazardous chemical leakage accidents

Zhang

2022

Front. Environ. Sci.

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CALPUFF, as a Lagrangian puff modeling system, is mostly used in the field of atmospheric environment research and risk assessment. CALPUFF performs well for short-term and short-range release scenarios over complex terrain, as well as long-term and long-range transportation. Therefore, this article uses the CALPUFF model to simulate a toxic gas leakage accident in a hazardous chemical plant in an urban area, focusing on the influence of local buildings. Wind tunnel experiments are performed in accordance with the CALPUFF experiments to assess the model’s accuracy in cases of chemical leakage accidents. The results of the wind tunnel experiment are superimposed on the map of CALPUFF calculation, and the quantitative analysis is also performed. The comparative results show that the simulation results of the CALPUFF are mainly affected by factors such as wind direction, wind speed, and the complexity of the surface environment. With less influence of buildings, such as the south and north wind, the CALPUFF simulation is consistent with the wind tunnel experiment, having a correlation coefficient of over 0.7 in most cases, while under the east wind, the consistency is significantly lower due to the influence of buildings. In addition, it is found that the wind tunnel experiment is more accurate in the near field of the pollution source, while CALPUFF is more suitable for simulating the overall trend of gas dispersion. The comparison and evaluation of the capabilities of different methods on gas dispersion simulation are helpful in guiding the emergency response during hazardous chemical leakage accidents.

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A simple data assimilation method to improve atmospheric dispersion based on Lagrangian puff model

Cited by 6 publications

References 18 publications

Experimental study on the effect of turbulence on hot-smoke dispersion ejecting in a cross flow

Experimental study on the effect of turbulence on hot-smoke dispersion ejecting in a cross flow

Identification Method of Source Term Parameters of Nuclear Explosion Based on GA and PSO for Lagrange-Gaussian Puff Model

Comparative study on numerical simulation based on CALPUFF and wind tunnel simulation of hazardous chemical leakage accidents

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