International Journal of Disaster Risk Science最新文献

Identify Landslide Precursors from Time Series InSAR Results 从时间序列 InSAR 结果中识别滑坡前兆

IF 4 2区地球科学

International Journal of Disaster Risk Science Pub Date : 2024-01-10 DOI: 10.1007/s13753-023-00532-8

Meng Liu, Wentao Yang, Yuting Yang, Lanlan Guo, Peijun Shi

引用次数: 0

Navigating Interoperability in Disaster Management: Insights of Current Trends and Challenges in Saudi Arabia 灾害管理中的互操作性导航：洞察沙特阿拉伯当前的趋势和挑战

IF 4 2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-12-22 DOI: 10.1007/s13753-023-00528-4

Zakaria A. Mani, Mohammed Ali Salem Sultan, Virginia Plummer, Krzysztof Goniewicz

引用次数: 0

Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations 根据保险索赔和流体力学模拟推导出的加尔维斯顿湾西部艾克飓风损害曲线

IF 4 2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-12-20 DOI: 10.1007/s13753-023-00524-8

Chaoran Xu, Benjamin T. Nelson-Mercer, J. Bricker, Meri Davlasheridze, Ashley D. Ross, Jianjun Jia

引用次数: 0

Identifying Neighborhood Effects on Geohazard Adaptation in Mountainous Rural Areas of China: A Spatial Econometric Model 识别邻里关系对中国山区农村地区地质灾害适应性的影响：空间计量经济学模型

IF 4 2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-12-18 DOI: 10.1007/s13753-023-00523-9

Li Peng, Jing Tan

引用次数: 0

Mapping Seismic Hazard for Canadian Sites Using Spatially Smoothed Seismicity Model 利用空间平滑地震模型绘制加拿大地震危害图

IF 4 2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-12-07 DOI: 10.1007/s13753-023-00521-x

Chao Feng, Han-Ping Hong

引用次数: 0

Wind and Water: How Extreme Weather Conditions Impact Residential Real Estate in Developing Countries 风和水:极端天气条件如何影响发展中国家的住宅房地产

2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI: 10.1007/s13753-023-00518-6

Nekeisha Spencer

引用次数: 0

An Index-Based Approach to Assess Social Vulnerability for Hamburg, Germany 基于指数的社会脆弱性评估方法——汉堡，德国

2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI: 10.1007/s13753-023-00517-7

Malte von Szombathely, Franziska S. Hanf, Janka Bareis, Linda Meier, Jürgen Oßenbrügge, Thomas Pohl

{"title":"An Index-Based Approach to Assess Social Vulnerability for Hamburg, Germany","authors":"Malte von Szombathely, Franziska S. Hanf, Janka Bareis, Linda Meier, Jürgen Oßenbrügge, Thomas Pohl","doi":"10.1007/s13753-023-00517-7","DOIUrl":"https://doi.org/10.1007/s13753-023-00517-7","url":null,"abstract":"Abstract In this study, we set out to develop a new social vulnerability index (SVI). In doing so, we suggest some conceptual improvements that can be made to existing methodical approaches to assessing social vulnerability. To make the entanglement of socio-spatial inequalities visible, we are conducting a small-scale study on heterogeneous urban development in the city of Hamburg, Germany. This kind of high-resolution analysis was not previously available, but is increasingly requested by political decision makers. We can thus show hot spots of social vulnerability (SV) in Hamburg, considering the effects of social welfare, education, and age. In doing so, we defined SV as a contextual concept that follows the recent shift in discourse in line with the Intergovernmental Panel on Climate Change’s (IPCC) concepts of risk and vulnerability. Our SVI consists of two subcomponents: sensitivity and coping capacity. Populated areas of Hamburg were identified using satellite information and merged with the social data units of the city. Areas with high SVI are distributed over the entire city, notably in the district of Harburg and the Reiherstieg quarter in Wilhelmsburg near the Elbe, as well as in the densely populated inner city areas of Eimsbüttel and St. Pauli. As a map at a detailed scale, our SVI can be a useful tool to identify areas where the population is most vulnerable to climate-related hazards. We conclude that an enhanced understanding of urban social vulnerability is a prerequisite for urban risk management and urban resilience planning.","PeriodicalId":48740,"journal":{"name":"International Journal of Disaster Risk Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136168554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transnational Dialogues on Interdisciplinary Approaches for Advancing People-Centered Warning Systems 推进以人为本的预警系统的跨学科方法跨国对话

2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI: 10.1007/s13753-023-00511-z

Victor Marchezini

{"title":"Transnational Dialogues on Interdisciplinary Approaches for Advancing People-Centered Warning Systems","authors":"Victor Marchezini","doi":"10.1007/s13753-023-00511-z","DOIUrl":"https://doi.org/10.1007/s13753-023-00511-z","url":null,"abstract":"Abstract The United Nations Office for Disaster Risk Reduction and the World Meteorological Organization launched in 2022 the executive plan of the world program “Early Warning Systems for All” to be implemented from 2023 to 2027. This program champions an investment of USD 3.1 billion into the four pillars of warning systems and calls for multi-hazard and people-centered warning systems (PCWS). However, there is a scientific gap concerning interdisciplinary approaches to promoting them. Motivated by the call for action of “Early Warning Systems for All” and warning research gaps on the lack of interdisciplinarity, a workshop series “Interdisciplinary Approaches for Advancing People-Centered Warning Systems” was held in early 2023. This short article shares the preliminary findings and recommendations of this research, which involved a transnational virtual dialogue between one scientific organization in Brazil and one from the United States. The findings and recommendations discussed in three virtual sessions and one collective working paper were centered on three aspects: promoting interdisciplinary integration in research; the need to discuss the characteristics of a PCWS; and promoting problem- and solution-based programs with people to integrate them at all phases of the warning system.","PeriodicalId":48740,"journal":{"name":"International Journal of Disaster Risk Science","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136153317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections 基于多重GCM预估的温和气候变化下全球滑坡灾害风险评估

2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI: 10.1007/s13753-023-00514-w

Xia Wang, Ying Wang, Qigen Lin, Xudong Yang

{"title":"Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections","authors":"Xia Wang, Ying Wang, Qigen Lin, Xudong Yang","doi":"10.1007/s13753-023-00514-w","DOIUrl":"https://doi.org/10.1007/s13753-023-00514-w","url":null,"abstract":"Abstract Extreme precipitation-induced landslide events are projected to increase under climate change, which poses a serious threat to human lives and property. In this study, a global-scale landslide risk assessment model was established using global landslide data, by considering landslide hazard, exposure, and vulnerability. The global climate model data were then employed to drive the established global landslide risk model to explore the spatial and temporal variations in future landslide risk across the globe as a result of extreme precipitation changes. The results show that compared to the 30-year period from 1971 to 2000, the average annual frequency of landslides triggered by extreme precipitation is projected to increase by 7% and 10%, respectively, in the future 30-year periods of 2031–2060 and 2066–2095. The global average annual casualty risk of landslides is projected to increase from about 3240 to 7670 and 8380, respectively (with growth rates of 140% and 160%), during the 2031–2060 and 2066–2095 periods under the SSP2-4.5 scenario. The top 10 countries with the highest casualty risk of landslides are China, Afghanistan, India, the Philippines, Indonesia, Rwanda, Turkey, Nepal, Guatemala, and Brazil, 60% of which are located in Asia. The frequency and intensity of extreme precipitation will increase under climate change, which will lead to an increase in casualties from landslides in mountainous areas globally, and this risk should be taken seriously. The present study was an attempt to investigate and quantify the impact of global landslide casualty risk under climate change, which still has uncertainty in terms of outcomes, and there remains a need for further understanding in the future of the propagation of uncertainty between the factors that affect the risk.","PeriodicalId":48740,"journal":{"name":"International Journal of Disaster Risk Science","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136199776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Systematic Review of Forensic Approaches to Disasters: Gaps and Challenges 灾害法医方法的系统回顾:差距和挑战

2区地球科学

International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI: 10.1007/s13753-023-00515-9

Adriano Mota Ferreira, Victor Marchezini, Tatiana Sussel Gonçalves Mendes, Miguel Angel Trejo-Rangel, Allan Yu Iwama

引用次数: 0