Modeling based decision for smart city environmental alert system for accidental air pollution

Masmoudi, Sahar; Kallel, Amjad; Taieb, Dalila; Kachouri, Abdennaceur

doi:10.1109/sm2c.2017.8071826

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…In this way, the amount range considered with the used factors was justified. In the study by Masmoudi et al 8 the results obtained with ALOHA software were used to estimate individual and social risk indoor and outdoor in the industrial zone. It was emphasized that open access to maps obtained from the simulation of different scenarios was important for implementing the emergency measures plan 8 .…”

Section: Introductionmentioning

confidence: 99%

“…In the study by Masmoudi et al 8 the results obtained with ALOHA software were used to estimate individual and social risk indoor and outdoor in the industrial zone. It was emphasized that open access to maps obtained from the simulation of different scenarios was important for implementing the emergency measures plan 8 . The combined approach of CFD numerical simulation and dose–response model was proposed for quantitative analysis of acute toxic gas exposure threats by Bo and Guo‐ming 9 .…”

Section: Introductionmentioning

confidence: 99%

“…It was emphasized that open access to maps obtained from the simulation of different scenarios was important for implementing the emergency measures plan. 8 The combined approach of CFD numerical simulation and dose-response model was proposed for quantitative analysis of acute toxic gas exposure threats by Bo and Guo-ming. 9 A related case study was conducted using the three-dimensional FLUENT model.…”

Section: Introductionmentioning

confidence: 99%

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Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection

Çetinyokuş

2023

Process Safety Progress

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H2S gas emissions occur in various processes, especially in the purification of polluted waters, mining, and petroleum refining processes and this extremely dangerous chemical has serious toxic emission, explosion, and fire effects. These physical effects vary considerably depending on the source strength. Therefore, consequence analyzes based on source strength models are critical components in the process of assessing hazards. In this study, a consequence analysis was performed with accident scenarios related to different sources of H2S gas. ALOHA 5.4.7 and EFFECTS 8.0.1 Software were used for physical effects modeling. Modeling studies were conducted on direct source (continuous release:100 m3/s, 5 m3/s), puddle source (100 m3, 5 m3), tank source (vertical‐horizontal cylindrical, spherical, 1.57 m3), and gas pipeline source with ALOHA Software. Possible Gas LOC (Levels of Concern) scenario Leak (G3) and Gas LOC scenario release in 10 min (G2) scenarios were studied with EFFECTS Software. When the results of both software were compared with each other, it was seen that the effects of thermal radiation and explosion were of similar order and value, and the toxic effect values were very different from each other. Both software allow for a release above ground level for gases that behave as neutrally buoyant. The main difference between the dispersion models used in the software is that the gas is assumed to behave as non‐interacting ideal gas in ALOHA, but in EFFECTS deviations from ideal gas are considered. And, ALOHA dispersion models use surface roughness lengths in a limited fashion and only include 60‐min AEGLs. ALOHA does not account for topographic steering or winds that vary with time in EFFECTS. It can be said that the results of the ALOHA Software are more conservative than the EFFECTS Software.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection

Çetinyokuş

2023

Process Safety Progress

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Modeling of Biological Wastewater Treatment on the Basis of Quick-Computing Numerical Model

Biliaiev¹,

Лемеш²

2021

STP

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Purpose. The scientific paper involves the development of quick computing numerical model for prediction of output parameters of aeration tank. The numerical model may be used in predicting the effectiveness of aeration tank under different regimes of work. Methodology. To simulate the process of biological wastewater treatment in aeration tank numerical models were developed. The flow field in the aeration tank is simulated on the basis of potential flow model. 2-D transport equations are used to simulate substrate and sludge dispersion in the aeration tank. To simulate the process of biological treatment simplified model. For the numerical integration of transport equations implicit difference scheme was used. The difference scheme is built for splitting transport equations. Splitting of transport equation into two equations is carried out at differential level. The first equation of splitting takes into account the sludge or substrate movement along trajectories. The second splitting equation takes into account the diffusive process of substrate or sludge. To solve the splitting equations implicit difference scheme was used. For the numerical integration of potential flow equation the implicit scheme of conditional approximation was used. On the basis of constructed numerical model computer experiment was performed to investigate the process of biological treatment in aeration tank. Findings. Quick computing numerical model to simulate the process of biological treatment in the aeration tank was developed. The model can be used to obtain aeration tank parameters under different regimes of work. The developed model takes into account the geometrical form of the aeration tank. Originality. The numerical model which takes into account the geometrical form of aeration tank and fluid dynamics process was developed; the model takes into account substrate and sludge transport in aeration tank and process of biological treatment. Practical value. Efficient numerical model, so called «diagnostic models» was proposed for quick calculation of biological treatment process in aeration tank.

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Modeling based decision for smart city environmental alert system for accidental air pollution

Cited by 2 publications

References 2 publications

Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection

Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection

Modeling of Biological Wastewater Treatment on the Basis of Quick-Computing Numerical Model

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Modeling based decision for smart city environmental alert system for accidental air pollution

Cited by 2 publications

References 2 publications

Consequence analysis in industrial organizations containing H2S gas through accident scenarios based on chemical source selection

Consequence analysis in industrial organizations containing H2S gas through accident scenarios based on chemical source selection

Modeling of Biological Wastewater Treatment on the Basis of Quick-Computing Numerical Model

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Product

Resources

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Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection

Consequence analysis in industrial organizations containing H₂S gas through accident scenarios based on chemical source selection