基于多准则决策方法的地震易损性评估

Md. Saalim Shadmaan, Samsunnahar Popy
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引用次数: 1

摘要

背景地震是孟加拉国最具破坏性的灾害之一,脆弱性评估是地震风险评估的先决条件。因此,确定脆弱性对于降低未来的死亡人数至关重要。估计地震脆弱性的根本挑战是系统地了解所有潜在的地震相关损失。为此,本研究对孟加拉国锡尔赫特地区的地震脆弱性进行了评估。为了评估三种情况,即社会、结构和物理距离脆弱性,选择了几个标准,以充分识别地震风险。发现这项研究揭示了锡尔赫特区的脆弱地区。据透露,就社会脆弱性而言,Sylhet区9%的地区处于非常高、55%处于高、15%处于中等、17%处于低脆弱区,4%处于非常低脆弱区。结构脆弱性表明,9%的地区属于非常高的脆弱性类别,48%为高,31%为中等,4%为低,8%属于非常低类别,而物理距离脆弱性的结果是,23%、38%、23%、7%和9%的地区分别属于非常高、高、中、低和非常低类别。当前的地震脆弱性评估工作可能有助于降低地震风险和最大限度地减少地震损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An assessment of earthquake vulnerability by multi-criteria decision-making method

An assessment of earthquake vulnerability by multi-criteria decision-making method

Background

Earthquake is one of the most destructive catastrophes in Bangladesh and the evaluation of vulnerability is a prerequisite for the earthquake risk estimation. As a result, determining vulnerability is essential for lowering the future fatalities. The fundamental challenge in estimating the seismic vulnerability is to have a systematic understanding of all potential earthquake related losses. With this objective, the current study deals with evaluating the seismic vulnerability of Sylhet district of Bangladesh.

Method

A multi-criteria decision-making approach such as the analytical hierarchy process (AHP) has been used in this study to estimate the earthquake vulnerability. For the assessment of three scenarios namely social, structural, and physical distance vulnerabilities, several criteria have been chosen in order to fully identify the risk of earthquake.

Findings

The study uncovers the vulnerable areas of Sylhet district. It is revealed that in terms of social vulnerability, 9% area of Sylhet district is under very high, 55% high, 15% moderate, 17% low, and 4% is under very low vulnerable zone. Structural vulnerability represents that 9% of the district area is under the very high vulnerability category, 48% high, 31% moderate, 4% low, and 8% falls under the very low category zone, whereas physical distance vulnerability comes up with a result that 23%, 38%, 23%, 7%, and 9% of the total area fall into very high, high, moderate, low, and very low categories, respectively.

Interpretation

The current work on seismic vulnerability assessment might be useful in reducing the risk and minimizing the losses due to earthquake.

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