Ali Rodríguez-Castellanos , Edén Bojórquez , Juan Bojórquez , Sonia E. Ruiz , Joel Carvajal , Herian Leyva , Omar Payán
{"title":"城市地震风险测绘的先进烈度测量:来自特大城市的证据","authors":"Ali Rodríguez-Castellanos , Edén Bojórquez , Juan Bojórquez , Sonia E. Ruiz , Joel Carvajal , Herian Leyva , Omar Payán","doi":"10.1016/j.ijdrr.2025.105791","DOIUrl":null,"url":null,"abstract":"<div><div>A series of spatial analyses were conducted to examine the correlation between seismic intensity—using both traditional and advanced intensity measures—and the structural damage observed in buildings affected by the 2017 Puebla earthquake in Mexico City. Probabilistic seismic hazard analyses were performed to generate seismic intensity maps based on <em>PGA</em> and <em>Sa</em>(<em>T</em><sub><em>1</em></sub>) and the advanced intensity measure <em>I</em><sub><em>Np</em></sub>, which incorporates period elongation due to nonlinear structural behavior. A recently released government database of damaged low- and mid-rise buildings was used in the analyses. Moran's Index and Local Indicators of Spatial Association revealed significant spatial autocorrelation between seismic demand and damage distribution. To evaluate which measure better reflects the observed damage, overlay and proximity analyses were applied. Results show that while both intensity measures perform similarly for short-period structures, <em>I</em><sub><em>Np</em></sub> outperforms <em>Sa</em>(<em>T</em><sub><em>1</em></sub>) for mid-rise buildings; particularly at intermediate-to-long vibration periods. These findings support the integration of <em>I</em><sub><em>Np</em></sub> into seismic risk mapping and mitigation strategies for urban environments.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"129 ","pages":"Article 105791"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advanced intensity measures for urban seismic-risk mapping: Evidence from a Megacity\",\"authors\":\"Ali Rodríguez-Castellanos , Edén Bojórquez , Juan Bojórquez , Sonia E. Ruiz , Joel Carvajal , Herian Leyva , Omar Payán\",\"doi\":\"10.1016/j.ijdrr.2025.105791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A series of spatial analyses were conducted to examine the correlation between seismic intensity—using both traditional and advanced intensity measures—and the structural damage observed in buildings affected by the 2017 Puebla earthquake in Mexico City. Probabilistic seismic hazard analyses were performed to generate seismic intensity maps based on <em>PGA</em> and <em>Sa</em>(<em>T</em><sub><em>1</em></sub>) and the advanced intensity measure <em>I</em><sub><em>Np</em></sub>, which incorporates period elongation due to nonlinear structural behavior. A recently released government database of damaged low- and mid-rise buildings was used in the analyses. Moran's Index and Local Indicators of Spatial Association revealed significant spatial autocorrelation between seismic demand and damage distribution. To evaluate which measure better reflects the observed damage, overlay and proximity analyses were applied. Results show that while both intensity measures perform similarly for short-period structures, <em>I</em><sub><em>Np</em></sub> outperforms <em>Sa</em>(<em>T</em><sub><em>1</em></sub>) for mid-rise buildings; particularly at intermediate-to-long vibration periods. These findings support the integration of <em>I</em><sub><em>Np</em></sub> into seismic risk mapping and mitigation strategies for urban environments.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"129 \",\"pages\":\"Article 105791\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-09-02\",\"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/S2212420925006156\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925006156","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}
Advanced intensity measures for urban seismic-risk mapping: Evidence from a Megacity
A series of spatial analyses were conducted to examine the correlation between seismic intensity—using both traditional and advanced intensity measures—and the structural damage observed in buildings affected by the 2017 Puebla earthquake in Mexico City. Probabilistic seismic hazard analyses were performed to generate seismic intensity maps based on PGA and Sa(T1) and the advanced intensity measure INp, which incorporates period elongation due to nonlinear structural behavior. A recently released government database of damaged low- and mid-rise buildings was used in the analyses. Moran's Index and Local Indicators of Spatial Association revealed significant spatial autocorrelation between seismic demand and damage distribution. To evaluate which measure better reflects the observed damage, overlay and proximity analyses were applied. Results show that while both intensity measures perform similarly for short-period structures, INp outperforms Sa(T1) for mid-rise buildings; particularly at intermediate-to-long vibration periods. These findings support the integration of INp into seismic risk mapping and mitigation strategies for urban environments.
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.