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Emergency management and HAZMAT mitigation: Strategic planning for new developments
Mashael Al-Jassim1, Tim Frazier2, Erik Wood3
1Emergency and Disaster Management, Master's Program, School of Continuing Studies, Georgetown University, Washington, DC.
Journal of Emergency Management (Weston, Mass.)
|February 24, 2023
Summary
This study introduces a new urban planning model to guide development away from hazardous materials (HAZMAT) zones, minimizing risks and evacuations. The model improves safety in industrial areas by optimizing land use and emergency preparedness.
Area of Science:
- Environmental Science
- Urban Planning
- Risk Management
Background:
- Accidental hazardous materials (HAZMAT) releases pose significant risks to urban environments.
- Existing disaster management plans in industrial cities often have critical flaws.
- Effective long-range planning is crucial for mitigating HAZMAT exposure and evacuation needs.
Purpose of the Study:
- To develop an urban development model for long-range planning that mitigates HAZMAT exposure.
- To identify optimal locations for development zones to minimize risks and evacuations.
- To improve disaster management strategies in industrial areas.
Main Methods:
- Interviews and meta-analytic data manipulation to assess current disaster management plans.
- Utilizing the Areal Location of Hazardous Atmospheres (ALOHA) model for gas release simulations.
- Employing Mapping Application for Response, Planning, and Local Operational Tasks (MARPLOT) for threat visualization.
Main Results:
- Identified significant flaws in the disaster management plans of three industrial cities.
- Simulated hydrogen sulfide gas release scenarios using the ALOHA model.
- Generated threat estimates displayed via MARPLOT for Mesaieed Industrial City, Qatar.
Conclusions:
- The developed model offers a considerable improvement for urban development near HAZMAT risk zones.
- Findings provide a framework applicable to international industrial areas facing similar risks.
- Enhanced urban planning can significantly reduce the impact of accidental HAZMAT releases.
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