Review on the emergency evacuation in chemicals-concentrated areas

Dou, Zhan; Mébarki, Ahmed; Cheng, Yuan; Zheng, Xiaoping; Jiang, Juncheng; Wang, Yan; Li, Yang; Li, Jinghai

doi:10.1016/j.jlp.2019.03.008

Cited by 44 publications

(7 citation statements)

References 23 publications

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“…Secondary, industrial accidents may also occur as a result of natural disasters, therefore investigating accidents due to possible leakage of storage tanks and how to deal with them in emergency situations in emerging countries such as Iran is an important preventive measure [ 3 ]. Emergencies usually include toxic gas leaks, explosions, fires, chemical spills, and hazardous leakage of explosive and flammable gases [ 4 , 5 ]. Toxic and flammable chemicals are generally released due to the rupture of tanks, transfer pipes and other fittings.…”

Section: Introductionmentioning

confidence: 99%

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Mohammadi,

Laal,

Mohammadian

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Mohammadi,

Laal,

Mohammadian

et al. 2023

Heliyon

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“…Hazardous air pollutants involving unintentional releases (e.g., chemical leakage, burning, and explosion) and intentional releases (e.g., pesticide application and industrial emission) have become a public hazard in international society. − Quickly, reliably, and sensitively obtaining molecular compositions of air pollutants and their distribution is in increasing demand. − Compared with laboratory analysis of field samples, onsite analysis allows early warning and rapid assessment of spot harmful releases, saving time and resources, promoting public safety and environment, and avoiding sample loss and contamination during the sample transportation, thus enabling quickly taking measures according to the real situation. Therefore, the onsite investigation of molecular comparisons and distributions of hazardous pollutants in ambient air plays a crucial role in protecting public health and the environment.…”

Section: Introductionmentioning

confidence: 99%

Onsite Identification and Spatial Distribution of Air Pollutants Using a Drone-Based Solid-Phase Microextraction Array Coupled with Portable Gas Chromatography-Mass Spectrometry via Continuous-Airflow Sampling

Chen

Zou

et al. 2022

Environ. Sci. Technol.

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Hazardous air pollutants can be unintentionally and intentionally released in many cases, such as industrial emissions, accidental events, and pesticide application. Under such events, the onsite operation is highly dependent on the molecular composition and spatial distribution of air pollutants in ambient air. However, it is usually difficult for people to reach hazardous and upper sites rapidly. In this work, we designed a new drone-based microextraction sampler array in which a solid-phase microextraction (SPME) fiber was mounted on drones for remote-control sampling at different spaces and was then coupled with a portable gas chromatography-mass spectrometry (PGC-MS) approach for quickly identifying hazardous air pollutants and their spatial distribution in ambient air within minutes. Acceptable analytical performances, including good sensitivity (detection limit at nanogram per liter level), reproducibility (relative standard deviation < 20%, n = 6), analytical speed (single sample within minutes), and excellent linear dynamic response (3 orders of magnitude) were obtained for direct measurement of air samples. The drone−SPME sampling mechanism of air pollutants involving an airflow adsorptive microextraction process was proposed. Overall, this drone−SPME sampling array can access hard-to-reach and dangerous environmental sites and provide air pollution distribution in different spaces, showing versatile potential applications in environmental analysis.

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“…The shortest path algorithms include the Dijkstra algorithm, the Bellman-Ford algorithm, and the Floyd-Warshall algorithm, which have been applied to solve the escape routes of res, oods, gas leaks and other disasters 21 . Dijkstra's algorithm and its improved algorithms were widely used in the detection of toxic gas leaks [22][23][24] . The Gaussian plume model was employed to calculate the toxic dose inhaled by people when ammonia leaked, and the Dijkstra algorithm was applied into nding the optimal evacuation path 25 .…”

Section: Introductionmentioning

confidence: 99%

Modelling infection risk and emergency evacuation from bioaerosol leakage around an urban vaccine factory

Liu

Cao

et al. 2022

Preprint

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Heightened interests in modelling outdoor diffusion and transmission of bioaerosols due to the prevalence of COVID-19 in urban environment led to a better knowledge of the issues concerning exposure risks and evacuation planning. In this study, the numerical method was applied in calculating the dispersion of bioaerosols. Then, the infection risk at the pedestrian level was assessed by the improved Wells-Reily equation. Finally, the Dijkstra algorithm derived from the greedy algorithm based on the was adopted to predict the evacuation path. The results show that the deposition of bioaerosols can reach 80 m on windward side wall of the high-rise buildings driven by the buoyancy force. Compared with stable thermal stratification, the infection risk of unstable thermal stratification in upstream and downstream of the research area can increase by 4.76% and 0.88%, respectively. The present work provides a promising approach of infection risk assessment and evacuation planning for the emergency response to urban bioaerosol leakage.

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Review on the emergency evacuation in chemicals-concentrated areas

Cited by 44 publications

References 23 publications

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Onsite Identification and Spatial Distribution of Air Pollutants Using a Drone-Based Solid-Phase Microextraction Array Coupled with Portable Gas Chromatography-Mass Spectrometry via Continuous-Airflow Sampling

Modelling infection risk and emergency evacuation from bioaerosol leakage around an urban vaccine factory

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