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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Watershed Planning within a Quantitative Scenario Analysis Framework
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Disaster reconnaissance framework for sustainable post-disaster materials management.

Nazli Yeşiller1, James L Hanson2, Joseph Wartman3

  • 1Global Waste Research Institute, California Polytechnic State University, San Luis Obispo, CA 93407, USA.

Waste Management (New York, N.Y.)
|August 6, 2023
PubMed
Summary
This summary is machine-generated.

This study provides foundational guidelines for disaster debris reconnaissance, identifying tools, challenges, and standards. It proposes a framework to enhance sustainable waste management practices during disaster recovery.

Keywords:
DebrisDisasterLandfillReconnaissanceWaste

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Area of Science:

  • Environmental Science
  • Disaster Management
  • Civil Engineering

Background:

  • Disaster debris reconnaissance is crucial for effective waste management.
  • Existing methods require adaptation for post-disaster scenarios.
  • A 2022 workshop highlighted the need for standardized reconnaissance protocols.

Purpose of the Study:

  • To assess disaster debris reconnaissance activities.
  • To identify tools, techniques, and challenges in field reconnaissance.
  • To develop preliminary guidelines and standards for sustainable debris management.

Main Methods:

  • Analysis of reconnaissance activities in relation to debris and waste management infrastructure.
  • Development of a four-phase timeline for the debris management lifecycle.
  • Proposal of a 3x2x2x4 reconnaissance framework incorporating data, reconnaissance, and time attributes.

Main Results:

  • Identification of key objectives, data needs, and measurement methods for reconnaissance.
  • A proposed framework integrating sustainability and resilience into reconnaissance protocols.
  • Recognition of the need for new approaches in disaster debris management.

Conclusions:

  • The proposed framework supports longitudinal field missions focused on post-disaster waste and infrastructure.
  • Adaptation of existing tools and methods is possible, but new approaches are necessary.
  • Integrating sustainability and resilience is vital for effective disaster debris reconnaissance.