A risk-informed approach for combined functionality analysis of buildings and road network under flooding: A case study at Silchar, India

IF 4.5 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

International journal of disaster risk reduction Pub Date : 2025-09-29 DOI:10.1016/j.ijdrr.2025.105845

Mrinal Kanti Sen , Prem Kumar , Jahir Iqbal Laskar , Subhrajit Dutta

{"title":"A risk-informed approach for combined functionality analysis of buildings and road network under flooding: A case study at Silchar, India","authors":"Mrinal Kanti Sen , Prem Kumar , Jahir Iqbal Laskar , Subhrajit Dutta","doi":"10.1016/j.ijdrr.2025.105845","DOIUrl":null,"url":null,"abstract":"<div><div>This study proposes a risk-informed framework to assess the combined functionality of buildings and road network under flooding, with a focus on Silchar, India, during the extreme 2022 flood event. The novel contribution lies in integrating hydrodynamic simulation with spatially distributed functionality state classification and fragility analysis to evaluate infrastructure interdependencies. Results indicate that while 59 % of buildings remained operational, approximately 33 % fell under restricted or non-functional states. Over 70 % of road network nodes and links were classified as Functionality State 3, indicating restricted entry, highlighting critical connectivity disruptions. The combined functionality analysis revealed 78 % of infrastructure being non-functional near failure nodes. Implementation of a levee system reduced non-functional infrastructure by 82 %, demonstrating the model's utility in mitigation planning. Fragility analysis, based on digital elevation model data, reveals the probability of infrastructure functionality with varying ground elevations under flood conditions. The proposed framework offers a scalable tool for flood resilience planning in urban areas by incorporating interdependent infrastructure functionality.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"130 ","pages":"Article 105845"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925006697","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

This study proposes a risk-informed framework to assess the combined functionality of buildings and road network under flooding, with a focus on Silchar, India, during the extreme 2022 flood event. The novel contribution lies in integrating hydrodynamic simulation with spatially distributed functionality state classification and fragility analysis to evaluate infrastructure interdependencies. Results indicate that while 59 % of buildings remained operational, approximately 33 % fell under restricted or non-functional states. Over 70 % of road network nodes and links were classified as Functionality State 3, indicating restricted entry, highlighting critical connectivity disruptions. The combined functionality analysis revealed 78 % of infrastructure being non-functional near failure nodes. Implementation of a levee system reduced non-functional infrastructure by 82 %, demonstrating the model's utility in mitigation planning. Fragility analysis, based on digital elevation model data, reveals the probability of infrastructure functionality with varying ground elevations under flood conditions. The proposed framework offers a scalable tool for flood resilience planning in urban areas by incorporating interdependent infrastructure functionality.

查看原文本刊更多论文

洪水条件下建筑物和道路网络综合功能分析的风险知情方法：印度Silchar的案例研究

本研究提出了一个风险知情框架，以评估洪水下建筑物和道路网络的综合功能，重点关注2022年极端洪水事件期间印度西尔查尔的情况。新的贡献在于将水动力模拟与空间分布的功能状态分类和脆弱性分析相结合，以评估基础设施的相互依赖性。结果表明，虽然59%的建筑物仍在运行，但约33%的建筑物处于限制或非功能状态。超过70%的道路网络节点和链接被归类为功能状态3，表明限制进入，突出了关键的连接中断。综合功能分析显示78%的基础设施在故障节点附近无功能。堤防系统的实施减少了82%的非功能性基础设施，证明了该模型在减灾规划中的实用性。基于数字高程模型数据的脆弱性分析揭示了洪水条件下不同地面高程的基础设施功能的概率。拟议的框架通过整合相互依存的基础设施功能，为城市地区的防洪规划提供了可扩展的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

8.70

自引率

18.00%

发文量

688

审稿时长

79 days

期刊介绍： The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.