AIR POLLUTION ENGINEERING FOR ACCIDENTS WITH HAZARDOUS SUBSTANCES DOI

Stefan Parvanov,

Kiril Alexiev,

Tzvetan Ostromsky

et al.

Environment Technology Resources Proceedings of the International Scientific and Practical Conference, Journal Year: 2024, Volume and Issue: 1, P. 274 - 280

Published: June 22, 2024

One of the challenges facing modern society is related to dangers industrial accidents and terrorist attacks spread fires dangerous substances. In present article, a systematic approach proposed for organizing monitoring, creating possible development scenarios, modeling potential toxic-element pollution, comprehensive analysis an adequate response such severe situations. The assessment scale pollution transport, dispersion, chemical transformation degree danger directly correct registration basic accident, weather environment characteristics thoroughly monitoring dynamics their change. collection necessary data carried out on basis heterogeneous sensor networks. application methods unification disparate information scattered in space time allows accurate evaluation current state. Different scenarios are generated methodologies corresponding mathematical models applied. risk framework feeds these with unified comprehensively examines them provide quantitative estimate critical levels harmful predict consequences. paper's relevance heightened by growing threat terrorism that targets infrastructure climate change increase frequency severity natural disasters, compounding predicting managing air events. It contributes discourse environmental engineering disaster management proposing methodology real-time collection, assessment, predictive inform effective strategies. By tackling issues, paper aligns contemporary priorities protection, public health, safety regulations, making it highly topical stakeholders academia, industry, government seeking enhance resilience against disasters.;

Language: Английский

Improving Volcanic SO2 Cloud Modeling Through Data Fusion and Trajectory Analysis: A Case Study of the 2022 Hunga Tonga Eruption DOI Creative Commons
Bavand Sadeghi, Alice Crawford, Tianfeng Chai

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(4)

Published: Feb. 22, 2025

Abstract The January 2022 eruption of the Hunga Tonga–Hunga Ha'apai volcano in South Pacific emitted significant sulfur dioxide into atmosphere, forming a large stratospheric cloud. This study employs HYSPLIT model, Lagrangian atmospheric transport and dispersion along with satellite retrievals cloud properties to model long range To reduce uncertainty complexity modeling near‐source behavior umbrella cloud, we utilize data insertion technique that initializes at downwind plume location. Satellite provide estimates column mass loading top height, though height may be uncertain above tropopause. Additionally, vertical distribution must estimated by making assumptions about thickness. We use back trajectory analysis better estimations Our findings reveal trajectory‐derived heights substantially exceeded estimates, 60% ranging between 20 40 km, compared most satellite‐derived being around 15 km. Long 5‐day forecasts produced using revised thickness are retrieved an assumed simple 1 control run initiated from vent start time. A qualitative comparison ground based lidar stationed Réunion Island shows significantly improves forecast.

Language: Английский

Citations

0
Ground surface displacement measurement from SAR imagery using deep learning DOI Creative Commons
Jin‐Woo Kim, Hyung-Sup Jung, Zhong Lu

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 318, P. 114577 - 114577

Published: Dec. 21, 2024

Language: Английский

Citations

1
AIR POLLUTION ENGINEERING FOR ACCIDENTS WITH HAZARDOUS SUBSTANCES DOI

Stefan Parvanov,

Kiril Alexiev,

Tzvetan Ostromsky

et al.

Environment Technology Resources Proceedings of the International Scientific and Practical Conference, Journal Year: 2024, Volume and Issue: 1, P. 274 - 280

Published: June 22, 2024

One of the challenges facing modern society is related to dangers industrial accidents and terrorist attacks spread fires dangerous substances. In present article, a systematic approach proposed for organizing monitoring, creating possible development scenarios, modeling potential toxic-element pollution, comprehensive analysis an adequate response such severe situations. The assessment scale pollution transport, dispersion, chemical transformation degree danger directly correct registration basic accident, weather environment characteristics thoroughly monitoring dynamics their change. collection necessary data carried out on basis heterogeneous sensor networks. application methods unification disparate information scattered in space time allows accurate evaluation current state. Different scenarios are generated methodologies corresponding mathematical models applied. risk framework feeds these with unified comprehensively examines them provide quantitative estimate critical levels harmful predict consequences. paper's relevance heightened by growing threat terrorism that targets infrastructure climate change increase frequency severity natural disasters, compounding predicting managing air events. It contributes discourse environmental engineering disaster management proposing methodology real-time collection, assessment, predictive inform effective strategies. By tackling issues, paper aligns contemporary priorities protection, public health, safety regulations, making it highly topical stakeholders academia, industry, government seeking enhance resilience against disasters.;

Language: Английский

Citations

0