[1]吴成森,文彦君,周陆超,等.基于ANP的宝鸡市地震灾害综合脆弱性及驱动因素研究[J].华南地震,2026,46(05):156-164.[doi:10.13512/j.hndz.2026.05.19]
　WU Chengsen,WEN Yanjun,ZHOU Luchao,et al.Study on Comprehensive Vulnerability and Driving Factors of Earthquake Disasters in Baoji City Based on ANP[J].,2026,46(05):156-164.[doi:10.13512/j.hndz.2026.05.19]
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基于ANP的宝鸡市地震灾害综合脆弱性及驱动因素研究()

华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
46
期数:
2026年05期
页码:
156-164
栏目:
地震与地质灾害
出版日期:
2026-09-07

文章信息/Info

Title:
Study on Comprehensive Vulnerability and Driving Factors of Earthquake Disasters in Baoji City Based on ANP
文章编号:
1001-8662（2026）05-0156-09
作者:
吴成森1; 文彦君1; 2; 周陆超1; 折花花1; 张 青3; 孔金龙1; 徐朝磊1; 王嘉婧1; 王 倩1
1.宝鸡文理学院 地理与环境学院，陕西 宝鸡 721013;2.陕西省灾害监测与机理模拟重点实验室，陕西 宝鸡 721013;3.宝鸡文理学院 政法与历史学院，陕西 宝鸡 721013
Author(s):
WU Chengsen1; WEN Yanjun1; 2; ZHOU Luchao1; SHE Huahua1; ZHANG Qing3; KONG Jinlong1; XU Chaolei1; WANG Jiajing1; WANG Qian1
1.College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China;2.Shaanxi Key Laboratory of Disasters Monitoring and Mechanism Simulation, Baoji University of Arts and Sciences, Baoji 721013, China;3.College of Political Science, Law and History, Baoji University of Arts and Sciences, Baoji 721013, China
关键词:
宝鸡市; 地震灾害; 脆弱性; ANP; 地理探测器
Keywords:
Baoji City;  Earthquake disaster;  Vulnerability;  ANP;  Geodetector
分类号:
X915.5
DOI:
10.13512/j.hndz.2026.05.19
文献标志码:
A
摘要:
灾害风险评估在地震灾害应急管理中占据核心地位，其中脆弱性研究是灾害风险评估的关键一环。在宝鸡市地震灾害背景下，从社会条件、物理条件和地质条件三个维度着手，构建一套系统的脆弱性指标评价体系。采用ANP确定各指标权重，运用平均易损度模型模拟不同烈度下宝鸡市地震灾害脆弱性分布，并结合地理探测器对其进行交互影响探测。结果表明：宝鸡市地震灾害综合脆弱性呈现“中部高—南北次之”的空间分布特征，中部城区因多重因素叠加，成为极高脆弱区；随着地震烈度地不断增加，极高脆弱区范围以断裂带为核心不断向外围扩展，低脆弱区范围不断缩减；断裂缓冲区范围、地质岩性、地形坡度及人口密度解释力最强；断裂缓冲区范围与地质岩性、地形坡度的交互作用显著，地质环境要素的叠加效应是驱动宝鸡市地震灾害脆弱性空间分异的核心机制。
Abstract:
Disaster risk assessment plays a core role in earthquake emergency management, with vulnerability stud‐ies being a critical component. Under the background of earthquake disaster in Baoji City, this study constructed a set of systematic vulnerability index evaluation system from three dimensions of socio-economic conditions, physical infrastructure, and geological features. ANP was used to determine the weight of each index, and the average vulner‐ability model is used to simulate the distribution of earthquake disaster vulnerability in Baoji City under different in‐tensities. Combined with the geographic detector, the interactive influence detection was carried out. Key findings include: The comprehensive vulnerability of earthquake disaster in Baoji City presents the spatial pattern of "high in the central area, followed by the southern and northern regions". The central urban area has become a high-vul‐nerability zone due to the superposition of multiple factors. As seismic intensity increases, extremely high-vulnera‐bility zones expand outward from fault zones, while low-vulnerability areas gradually shrink. Critical explanatory variables are fracture buffer zones, geological lithology, terrain gradients, and population density. The interaction be‐tween the fault buffer zone and the geological lithology and topographic slope is significant. The superposition effect of geological environmental factors is the core mechanism driving the spatial differentiation of earthquake disaster vulnerability in Baoji City.

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备注/Memo

备注/Memo:
收稿日期：2025-10-16
基金项目：国家自然科学基金项目（41771215）；陕西省重点实验室项目（13JS009）联合资助。
作者简介：吴成森（1998-），男，在读硕士研究生，主要从事城市灾害风险研究。E-mail: 2396864252@qq.com
通信作者：文彦君（1978-），男，博士，教授，主要从事自然灾害风险与历史气候变化影响研究。E-mail: wenyanjun2003@163.com
更新日期/Last Update: 2026-09-20