Journal article
A loss-recovery evaluation tool for debris flow
International journal of disaster risk reduction, v 37, p101165
01 Jul 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In recent years, various severely natural disasters have swept the world, especially the debris flow in geological disaster, which causes huge losses and needs lengthy recovery. This motivates a comprehensive consideration on post-disaster loss and recovery in a closed loop point of view, based on a novel systematic two-stage evaluation method, this study focuses on loss evaluation and emergency resilience decision of debris flow. In the first stage, the weighing technique is applied to a reasonably established index system for loss evaluation. Then, Combined with technique for order preference by similarity to Ideal solution (TOPSIS) and the grey relation analysis (GRA) is utilized to evaluate the loss level of debris flow. In the second stage, an improved restoration triangle model is used to evaluate the post-disaster reconstruction and recovery. In order to solve the complex computational problems, a specific software system was developed to ensure convenience and efficiency in practical applications. The validity of the whole study is verified by case study. The results demonstrate that the proposed method can help decision makers generate strategies in risk management.
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Details
- Title
- A loss-recovery evaluation tool for debris flow
- Creators
- Lu Gan - Sichuan Agricultural UniversityYuanyuan Wang - Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Dujiangyan 611830, Peoples R ChinaZhiyi Li - Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Dujiangyan 611830, Peoples R ChinaBenjamin Lev - Drexel University
- Publication Details
- International journal of disaster risk reduction, v 37, p101165
- Publisher
- Elsevier
- Number of pages
- 15
- Grant note
- Xq18B06 / Key Funds of Sichuan Social Science Research Institution "System Science and Enterprise Development Research" 15XJC630001 / Humanities Social and Sciences Research Funds of Education Ministry 2017-RK00-00274-ZF / Foundation of Chengdu Science and Technology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000472043900006
- Scopus ID
- 2-s2.0-85066427831
- Other Identifier
- 991019168417104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Water Resources