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Identifying key government-manageable factors in post-disaster housing reconstruction: Evidence from flood events in China 确定灾后住房重建中政府可管理的关键因素:来自中国洪水事件的证据
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-08 DOI: 10.1016/j.ijdrr.2025.105957
Sihan Cao , Dongping Fang , Zaishang Li
Natural hazards pose significant threats to housing infrastructure worldwide. Governments play a pivotal role in post-disaster housing reconstruction (PDHR). However, existing research often fails to distinguish between factors that governments can realistically manage and those beyond their control. This oversight limits the availability of practical guidance for effective policy-making. This study addresses this gap by identifying and evaluating Key Government-manageable Factors (KGMFs) to enhance the effectiveness of government-led reconstruction efforts, using recent flood events in China as a case study. A sequential qualitative approach was employed, which began with a comprehensive literature review to identify an initial pool of KGMFs. These factors were then refined and evaluated for their importance and implementation difficulty through in-depth interviews with government officials across three flood-affected case study sites. The study identifies 28 KGMFs across five dimensions, including policy framework, resource management, stakeholder coordination, quality supervision, and housing adaptation. Systemic implementation barriers were identified, including financial rigidity, inter-departmental coordination silos, policy ambiguity, and fragmented communication, which undermine the translation of policy intent into effective practice at the community level. This research contributes a novel analytical framework centered on “government-manageability” and provides a practical tool for policymakers to strategically allocate resources. By delineating actionable levers for intervention, the study offers crucial insights for improving the governance of post-disaster reconstruction in China and other contexts with significant state involvement.
自然灾害对世界各地的住房基础设施构成重大威胁。政府在灾后住房重建中发挥着关键作用。然而,现有的研究往往无法区分政府可以实际管理的因素和政府无法控制的因素。这种监督限制了有效决策的实际指导。本研究通过识别和评估政府可管理的关键因素(KGMFs)来提高政府主导的重建工作的有效性,并以中国最近的洪水事件为例进行了研究,从而解决了这一差距。采用了顺序定性方法,首先进行了全面的文献综述,以确定kgmf的初始池。然后,通过对三个受洪水影响的案例研究地点的政府官员进行深入访谈,对这些因素进行细化和评估,以确定其重要性和实施难度。该研究从政策框架、资源管理、利益相关者协调、质量监督和住房适应等五个方面确定了28个kgmf。发现了系统性实施障碍,包括财政僵化、部门间协调孤岛、政策模糊和沟通碎片化,这些阻碍了政策意图在社区层面转化为有效实践。本研究提出了一个以“政府可管理性”为核心的分析框架,为政策制定者战略性地配置资源提供了一个实用工具。通过描述可操作的干预杠杆,该研究为改善中国和其他国家大量参与的情况下的灾后重建治理提供了重要见解。
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引用次数: 0
Portfolio-scale seismic fragility of RC bridge columns with series-distributed neural networks 基于串联分布神经网络的组合尺度RC桥柱地震易损性研究
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-07 DOI: 10.1016/j.ijdrr.2025.105955
Hoang Vinh Nguyen , Hoang Nam Phan , Duy Hoa Pham , Gianluca Quinci , Fabrizio Paolacci
This paper proposes a novel series-distributed artificial neural network framework for rapidly constructing seismic fragility curves of reinforced-concrete (RC) bridge columns at markedly reduced computational cost. Three coupled surrogate models are trained on datasets generated from nonlinear time-history and pushover analyses of RC piers with randomly sampled geometric and material properties subjected to hazard-consistent ground motions. The first network learns correlations among a reduced set of efficient ground-motion intensity measures (IMs), the second predicts drift demand from IMs and modelling parameters, and the third provides drift capacities for multiple damage states directly from capacity-curve information, thereby incorporating epistemic uncertainty in structural capacity. The trained surrogates are embedded in a Monte Carlo simulation scheme to estimate, in a largely non-parametric manner, the probability that drift demand exceeds capacity at each IM level. A case study on a portfolio of simply supported bridges in the Da Nang area, including selected bridges along National Highway 1A, demonstrates that the framework reproduces benchmark fragility curves from nonlinear analyses while achieving substantial reductions in analysis time. The results highlight systematic differences between rectangular and circular piers and quantify the impact of relaxing internal lognormal assumptions relative to traditional cloud-based fragility derivation. The proposed approach is implementation-ready, which relies on standard structural and ground-motion descriptors, delivers conventional fragility parameters, and is readily scalable to portfolio- and network-level seismic risk assessments and screening.
本文提出了一种新的串联分布式人工神经网络框架,用于快速构建钢筋混凝土桥柱地震易损性曲线,大大降低了计算成本。三个耦合代理模型是在非线性时程数据集上训练的,这些数据集是随机抽样的钢筋混凝土桥墩在危险一致的地面运动下的几何和材料特性。第一个网络学习简化的有效地震动强度测量(IMs)之间的相关性,第二个网络从IMs和建模参数中预测漂移需求,第三个网络直接从能力曲线信息中提供多种损伤状态的漂移能力,从而结合结构能力的认知不确定性。经过训练的代理被嵌入到蒙特卡罗模拟方案中,以非参数的方式估计漂移需求超过每个IM水平容量的概率。对岘港地区简支桥组合(包括1A国道沿线选定的桥梁)的案例研究表明,该框架从非线性分析中再现了基准脆弱性曲线,同时大大减少了分析时间。结果突出了矩形墩和圆形墩之间的系统差异,并量化了相对于传统的基于云的脆弱性推导放宽内部对数正态假设的影响。该方法依赖于标准的结构和地面运动描述符,提供常规的易感性参数,并且易于扩展到投资组合和网络级地震风险评估和筛选。
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引用次数: 0
Using virtual reality to study human response to flood risk across controlled experiments 利用虚拟现实技术研究人类对洪水风险的反应
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-06 DOI: 10.1016/j.ijdrr.2025.105956
Zhaoxi Zhang , Qinchan Li , Qi Sun , Luis Ceferino
Flood consequences are related to human risk perception and behavior during emergencies. However, the lack of real-world data makes it difficult to study how people response. Taking advantage of virtual reality (VR), this study designs VR-based flood scenarios by simulating rising water in the city to study how human responses vary when humans are on the street or in the car under different conditions of rain level, visibility level and warning modality. Also, learning from protection motivation theory (PMT), this study investigates how the contextual information, psychological and socioeconomic factors affect human response during flood emergency. Results from 50 participants show that: (1) Females exhibit longer response times and greater tolerance for flood risk compared to males; (2) Risk recognition takes less time when people are in the car than on the street; (3) ANOVA results show significant differences in response times across controlled experiments; (4) Linear mixed-effects models suggest that human responses are associated with contextual, psychological and socioeconomic factors, for example, low visibility significantly correlate with short response time, self-efficiency positively correlate with earlier risk recognition, higher education and income may be associated with faster responses. The findings highlight the variability in human perception across contexts and the value of human–VR interaction for studying individual-level risk perception and behavior.
洪水后果与人类在突发事件中的风险认知和行为有关。然而,由于缺乏真实世界的数据,很难研究人们的反应。本研究利用虚拟现实技术(VR),通过模拟城市水位上升,设计基于VR的洪水场景,研究人类在不同的降雨水平、能见度和预警方式下,在街道上或汽车上的反应变化。同时,借鉴保护动机理论(PMT),探讨环境信息、心理和社会经济因素如何影响人类在洪水应急中的反应。50名参与者的研究结果表明:(1)与男性相比,女性表现出更长的响应时间和更大的洪水风险承受能力;(2)人们在车内时的风险识别时间比在街上时要短;(3)方差分析结果显示,不同对照实验的反应时间存在显著差异;(4)线性混合效应模型表明,人类的反应与环境、心理和社会经济因素有关,如低能见度与短反应时间显著相关,自我效率与早期风险识别正相关,高等教育和收入可能与更快的反应相关。研究结果强调了人类感知在不同背景下的可变性,以及人类与虚拟现实互动对研究个人层面风险感知和行为的价值。
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引用次数: 0
Long-term recovery from the 2004 Indian ocean tsunami in two Sri Lankan east coast municipalities 2004年印度洋海啸后斯里兰卡东海岸两个城市的长期恢复
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-06 DOI: 10.1016/j.ijdrr.2025.105951
Julian Thamboo , Renee Josiah , Aslam Saja , Parastoo Salah , Tiziana Rossetto , Priyan Dias
Sri Lanka was the second most affected country after Indonesia, in the 2004 Boxing Day Indian Ocean tsunami (IOT). A study mission was therefore carried out twenty years after the 2004 IOT to assess the recovery of the affected regions, especially in the Eastern region of Sri Lanka, focusing on two of the most affected municipalities, i.e. Kalmunai and Batticaloa. The social and infrastructure characteristics of resettlements/relocations/new settlements in the affected regions, presence of critical infrastructure, preparedness and early warning systems installed have been assessed. It was observed that similar approaches have been adopted to plan the community relocation in both of these municipalities, while the significant reemergence of residential and commercial developments in the coastal stretches of Kalmunai municipality have been noted. Exposure analyses have revealed that there are still some critical infrastructure situated in the tsunami hazard zones. It can be construed that these municipalities have recovered from the physical losses incurred, and spatial planning is in place for future developments considering the tsunami risk. Challenges and opportunities from their differing geographical contexts appear to have been judiciously handled. However, shortcomings are noted in actual implementation due to various reasons, such as limited resources, availability of funding and preference of communities to live close to their original lands. Improving the resilience of infrastructure by designing against the expected tsunami hazard and multi-hazards, regular verification of the early warning systems and evacuation procedures are emphasized to mitigate the impacts from future tsunami.
在2004年节礼日印度洋海啸(IOT)中,斯里兰卡是仅次于印度尼西亚的第二大受影响国家。因此,在2004年物联网20年后开展了一项研究任务,以评估受影响地区,特别是斯里兰卡东部地区的恢复情况,重点关注受影响最严重的两个城市,即卡尔穆奈和巴蒂克洛。已经评估了受影响地区重新安置/重新安置/新住区的社会和基础设施特点、关键基础设施的存在、准备和安装的早期预警系统。有人指出,在这两个城市也采取了类似的办法来规划社区的重新安置,同时注意到卡尔穆奈市沿海地区重新出现了大量的住宅和商业发展。暴露分析显示,仍有一些关键的基础设施位于海啸危险区。可以解释为,这些城市已经从遭受的物质损失中恢复过来,考虑到海啸的风险,为未来的发展进行了空间规划。来自不同地理背景的挑战和机遇似乎得到了明智的处理。然而,由于各种原因,如资源有限、资金可用性和社区倾向于住在靠近其原始土地的地方,在实际执行中发现了缺点。通过针对预期的海啸灾害和多重灾害进行设计,提高基础设施的复原力,强调定期核查预警系统和疏散程序,以减轻未来海啸的影响。
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引用次数: 0
From local knowledge to global patterns: a cross-cultural study of the dimensions of hazards and adaptive capacity 从地方知识到全球模式:灾害维度和适应能力的跨文化研究
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-05 DOI: 10.1016/j.ijdrr.2025.105950
Samantha K. King , Cynthiann Heckelsmiller , Carol R. Ember , Eric C. Jones , Sebastian Wang Gaouette , Anj Lee Droe , Danielle Russell , Jacqueline Heitmann , Isana Raja , Michele Gelfand
Understanding the human impacts of environmental hazards is a growing concern. While there is a plethora of research on climate adaptation, the literature is highly fragmented, and empirical studies are rarely carried out with global samples. This lack of comparative work limits our ability to understand general patterns in how societies adapt, thereby impeding effective policy and practice at a wider scale. To fill this gap, we outline a global comparative approach to the study of hazards that uses ethnographic data. The approach operationalizes five ecological dimensions of environmental hazards, including event type, frequency, onset speed, predictability, and severity, and investigates how they relate across a world-wide sample of 132 nonindustrial societies with significant variation in time and space. We then utilize this approach to explore how specific ecological dimensions might influence the adaptive capacity of societies to respond to events. Findings uncover generalizable patterns that exist across our global sample, suggesting that predictability enhances adaptive capacity, while temporal factors that promote uncertainty (including slow onset speed, longer event duration, and unpredictability) limit the success of adaptation efforts.
了解环境危害对人类的影响是一个日益受到关注的问题。虽然有大量关于气候适应的研究,但文献是高度分散的,而且很少有全球样本进行实证研究。缺乏比较工作限制了我们理解社会如何适应的一般模式的能力,从而阻碍了更大范围内有效的政策和实践。为了填补这一空白,我们概述了一种使用民族志数据研究危害的全球比较方法。该方法对环境危害的五个生态维度进行了操作,包括事件类型、频率、发生速度、可预测性和严重程度,并研究了它们在世界范围内132个具有显著时间和空间变化的非工业社会样本之间的关系。然后,我们利用这种方法来探索特定的生态维度如何影响社会对事件的适应能力。研究结果揭示了在我们的全球样本中存在的可推广模式,表明可预测性增强了适应能力,而促进不确定性的时间因素(包括缓慢的开始速度、较长的事件持续时间和不可预测性)限制了适应工作的成功。
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引用次数: 0
Drought and flood hazards in inland valleys of Benin: severities, adaptation strategies and associated factors across the Sudano-Guinean and Guinean zones 贝宁内陆山谷的干旱和洪水灾害:苏丹-几内亚和几内亚地区的严重程度、适应战略和相关因素
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-05 DOI: 10.1016/j.ijdrr.2025.105953
Abiola David Akodekou , Elliott Ronald Dossou-Yovo , Kolawolé Valère Salako , Setondé Constant Gnansounou , Sabaké Tianegue Diarra , Udo Nehren , Romain Glèlè Kakaï
Inland valleys (IVs) are vital socio-ecological systems in Sub-Saharan Africa and are crucial for agriculture and ecosystem services. However, they are susceptible to drought and flooding and require adaptation strategies informed by robust spatiotemporal analyses of hazards. This study (i) assesses the spatial and temporal distribution and severity of drought and wet conditions; (ii) identify key climatic and biophysical factors associated with these events; and (iii) determine the socio-economic and environmental factors associated with farmers adaptation responses in Benin. Biophysical, climate (1991–2021) and socio-economic data were collected in 68 IVs distributed in Benin's Guinean and Sudano-Guinean climate zones. Results showed that the years 2001, 2002, and 2016 were classified as extreme drought years across all IVs, while 2008, 2009, and 2019 experienced extreme wetness. Drought, occurring in 35 % of the total IVs, was more frequent in the Sudano-Guinean zone and mainly characterised by soil organic carbon, standardised precipitation evapotranspiration index (SPEI), and sand content. Wet, affecting 30 % of the total IVs, was more frequent in the Guinean zone and was linked to average annual rainfall, sand content, and SPEI. Farmers responded to drought hazards by adopting organic farming (58 %), implementing irrigation (47 %) and adjusting cropping seasons (85 %). For extreme wet and flood hazards, farmers responded with changes in the cultivation areas (76 %), agroforestry and use of straw and fallow (64 %), and adjustments in cropping seasons and areas (84 %). These adaptation strategies were influenced by market access, access to extension services, and infrastructures. The study underscores the need for enhancing monitoring and early warning systems that integrate climate, soil, and socio-economic factors to better detect and respond to drought and flood risks.
内陆河谷是撒哈拉以南非洲地区重要的社会生态系统,对农业和生态系统服务至关重要。然而,它们容易受到干旱和洪水的影响,需要在对灾害进行强有力的时空分析的基础上制定适应战略。本研究(1)评估旱湿条件的时空分布和严重程度;(ii)确定与这些事件相关的关键气候和生物物理因素;(iii)确定与贝宁农民适应反应相关的社会经济和环境因素。生物物理、气候(1991-2021年)和社会经济数据在分布在贝宁几内亚和苏丹-几内亚气候带的68个IVs中收集。结果表明,2001年、2002年和2016年为极端干旱年,2008年、2009年和2019年为极端湿润年。干旱在苏丹-几内亚地区更为频繁,占总IVs的35%,其主要特征是土壤有机碳、标准化降水蒸散指数(SPEI)和沙粒含量。潮湿影响了总IVs的30%,在几内亚地区更为频繁,并与年平均降雨量、含沙量和SPEI有关。农民通过采用有机农业(58%)、实施灌溉(47%)和调整种植季节(85%)来应对干旱灾害。对于极端潮湿和洪水灾害,农民的应对措施是改变耕地面积(76%),改变农林业和秸秆和休耕(64%),调整种植季节和面积(84%)。这些适应战略受到市场准入、获得推广服务和基础设施的影响。该研究强调需要加强综合气候、土壤和社会经济因素的监测和预警系统,以便更好地发现和应对干旱和洪水风险。
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引用次数: 0
Predictors of quality of life in disaster victims: A multilevel analysis of individual, community, and policy factors 灾难受害者生活质量的预测因素:个人、社区和政策因素的多层次分析
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-05 DOI: 10.1016/j.ijdrr.2025.105954
Hyung-Joo Park, Myeong Sook Yoon
Disasters have profound and long-lasting impacts on survivors' quality of life (QoL), which is shaped not only by individual vulnerabilities but also by the surrounding community and policy environments. This study examines the influence of multidimensional factors—personal, social, and institutional—on the QoL of disaster victims in South Korea, with a focus on community social capital and the moderating effect of post-traumatic stress disorder (PTSD). Analyzing data from individuals affected by 2017 disasters across 17 local governments, this study employed a hierarchical linear model (HLM) to assess both individual-level (social participation, social support, community resilience, sociodemographic characteristics) and community-level (disaster relief policies) influences. The results show that higher levels of social participation, social support, and perceived community resilience are associated with better QoL. Among policy-level variables, the disaster management fund and temporary housing services positively affected QoL. However, disaster restoration support demonstrated a significant interaction with PTSD levels: while QoL increased with greater restoration support among individuals without significant PTSD symptoms, it decreased for those with PTSD symptoms. These findings suggest that enhancing disaster victims' QoL requires a multidimensional approach that integrates structural assistance, psychological recovery, and community resilience. Moreover, the moderating effect of PTSD supports Hobfoll's Conservation of Resources theory, indicating that psychological intervention should be prioritized, as external resources may have limited impact without sufficient psychological capacity for recovery.
灾害对幸存者的生活质量产生深远而持久的影响,而生活质量不仅受到个人脆弱性的影响,还受到周围社区和政策环境的影响。本研究考察了个人、社会和制度等多维因素对韩国灾害受害者生活质量的影响,重点研究了社区社会资本和创伤后应激障碍(PTSD)的调节作用。本研究分析了17个地方政府2017年受灾害影响的个人数据,采用层次线性模型(HLM)来评估个人层面(社会参与、社会支持、社区复原力、社会人口特征)和社区层面(救灾政策)的影响。结果表明,较高的社会参与水平、社会支持水平和感知社区弹性水平与较好的生活质量相关。政策层面变量中,灾害管理资金和临时住房服务正向影响生活质量。然而,灾难恢复支持与创伤后应激障碍水平有显著的相互作用:在没有明显创伤后应激障碍症状的个体中,生活质量随着恢复支持的增加而增加,而在有创伤后应激障碍症状的个体中,生活质量则下降。这些发现表明,提高灾民的生活质量需要一种多维的方法,将结构性援助、心理恢复和社区复原力结合起来。此外,PTSD的调节作用支持了Hobfoll的资源守恒理论(Conservation of Resources theory),即如果没有足够的心理恢复能力,外部资源的影响可能有限,因此应优先考虑心理干预。
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引用次数: 0
Managed retreat in the face of sea level rise: A multi-dimensional framework for climate resilience 面对海平面上升的可控撤退:气候适应能力的多维框架
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-04 DOI: 10.1016/j.ijdrr.2025.105952
Muhammad Sajjad Rashid, Elaina J. Sutley
Sea level rise, intensifying coastal hazards, and climate driven catastrophes pose a growing threat to low lying communities. Managed retreat has emerged as a critical adaptation strategy involving the strategic relocation of people, infrastructure, and ecosystems. This study reframes managed retreat from a last resort measure to a proactive, socially equitable, and ecologically grounded strategy for climate resilience.
We offer a multidimensional approach that incorporates scientific estimates, disaster risk reduction, environmental assessment, community interaction, and economic evaluation. Using contemporary climate modeling and sea level rise estimates, we investigate threats to infrastructure, ecosystems, and vulnerable populations, emphasizing the limitations of constructed “hold the line” defenses.
We examined retreat's role in disaster planning, especially where hard protection is not viable, aligning it with the Sendai Framework. Through global and regional case studies, we highlight the importance of trust building, procedural justice, and participatory governance for policy accomplishment.
We explore how zoning and voluntary buyouts, among other legal tools, modular infrastructure, and adaptation based on ecosystems all work together to facilitate practical retreat plans. Finally, we weigh the costs of inaction against the long-term advantages of planned migration, identifying potential areas for reinvestment and transformation. This study provides a practical framework to aid policymakers, planners, and communities in developing context specific, equitable, and effective retreat strategies. Ultimately, we contend that retreat should not be interpreted as the abandonment of development, but rather as the realignment of human habitation with climate and ecological realities, thereby integrating sustainability, equity, and adaptation amid climate change.
海平面上升、沿海灾害加剧以及气候驱动的灾难对低洼地区构成了越来越大的威胁。管理撤退已经成为一种关键的适应策略,涉及人口、基础设施和生态系统的战略性迁移。本研究将管理撤退从最后的手段重新定义为积极的、社会公平的、基于生态的气候适应战略。我们提供了一种多维度的方法,包括科学评估、灾害风险降低、环境评估、社区互动和经济评估。利用当代气候模型和海平面上升估计,我们调查了对基础设施、生态系统和脆弱人群的威胁,强调了构建“守住防线”防御的局限性。我们研究了撤退在灾害规划中的作用,特别是在硬保护不可行的情况下,并将其与仙台框架保持一致。通过全球和地区案例研究,我们强调了建立信任、程序公正和参与式治理对政策实现的重要性。我们探讨了分区和自愿收购,以及其他法律工具、模块化基础设施和基于生态系统的适应性如何共同促进实际的撤退计划。最后,我们权衡了不作为的成本与计划移民的长期优势,确定了再投资和转型的潜在领域。本研究提供了一个实用的框架,以帮助决策者、规划者和社区制定具体的、公平的和有效的撤退策略。最后,我们认为,撤退不应被解释为放弃发展,而应被解释为人类居住与气候和生态现实的重新调整,从而在气候变化中整合可持续性、公平性和适应性。
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引用次数: 0
Prioritisation Recommendation Mapping (PrioReMap): A method for supporting relief coordination in flood disaster response 优先排序推荐映射(PrioReMap):一种支持洪水救灾协调的方法
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.ijdrr.2025.105949
Moritz Schneider , Lukas Halekotte , Tina Comes , Frank Fiedrich
To effectively coordinate the response to a flood disaster, decision-makers have to prioritise areas that are in most urgent need of assistance. This prioritisation often has to be carried out under time pressure and on the basis of incomplete information, creating a high cognitive load for decision-makers. Methods that integrate Bayesian networks into GIS to draw spatial inference can inform this prioritisation process. However, existing approaches are not equipped to address the time pressure and unclear information-scape that is typical for a flood disaster. In this work, we present a novel spatial inference method for area prioritisation that is designed to address these time and information constraints. The core of this method is a GIS-informed Bayesian network, integrated into an expected loss framework, that can be set up during the preparation phase. The method can then quickly provide area prioritisation recommendations for disaster relief, which has the potential to support decisions-makers during the response phase. In this way, our method provides a means of shifting some of the most time-consuming aspects of the decision-making process from the time-critical disaster response phase to the less critical preparation phase. To illustrate how our method can support rapid and transparent area prioritisation, we present a case study of an extreme flood scenario in Cologne, Germany.
为了有效地协调对洪水灾害的反应,决策者必须优先考虑最迫切需要援助的地区。这种优先排序通常必须在时间压力和不完整信息的基础上进行,这给决策者带来了很高的认知负荷。将贝叶斯网络集成到GIS中以绘制空间推理的方法可以通知此优先级过程。然而,现有的方法无法解决洪水灾害中典型的时间压力和信息不清晰的问题。在这项工作中,我们提出了一种新的区域优先级空间推理方法,旨在解决这些时间和信息限制。该方法的核心是一个基于gis的贝叶斯网络,该网络集成到一个可在准备阶段建立的预期损失框架中。然后,该方法可以迅速为救灾提供地区优先级建议,这有可能在响应阶段支持决策者。通过这种方式,我们的方法提供了一种将决策过程中一些最耗时的方面从时间关键的灾难响应阶段转移到不那么关键的准备阶段的方法。为了说明我们的方法如何支持快速和透明的区域优先排序,我们提出了德国科隆极端洪水情景的案例研究。
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引用次数: 0
A nation-wide classification of the Italian Railway Network susceptibility to flood hazard 意大利铁路网对洪水灾害易感性的全国分类
IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2025-12-02 DOI: 10.1016/j.ijdrr.2025.105946
Gianluca Lelli , Serena Ceola , Alessio Domeneghetti , Adriana Galli , Edmondo Elisei , Alessandro Rinaldi , Armando Brath
Floods pose significant threats to railway infrastructure, given their linear extension across diverse landscapes and frequent intersections with rivers. While European countries have developed Flood Risk Management Plans (FRMPs) following the EU Floods Directive, a comprehensive analysis of railway network flood susceptibility at national scale is still lacking for Italy. Here we develop a comprehensive flood hazard classification for the Italian Railway Network (IRN). Our methodology integrates flood hazard maps, railway infrastructure data, and digital elevation models to characterize flood hazard classes along flood-prone railway routes. The approach distinguishes between steep rapid, rapid and slow flood processes, based on topographical characteristics. Results demonstrate that, for the low probability flood hazard scenario (return period ≥500 years), 25.63 % of the IRN (4,523.4 km) exhibits flood susceptibility, with this proportion declining to 19.09 % and 9.77 % for medium and high flood hazard, respectively. By performing a regional analysis across seven hydrographic districts in Italy, a substantial spatial variability emerges, with the Po River district encompassing nearly half (47.5 %) of all flood-prone railway sections. Our analysis reveals also a marked predominance of rapid flood processes, characterized by values for the time of concentration <12 h. Our classification framework provides crucial insights for risk mitigation and resource allocation, relying exclusively on FRMPs and digital elevation models. The methodology presents a scalable approach applicable to other transportation networks and study areas, supporting infrastructure managers in developing targeted flood protection measures.
洪水对铁路基础设施构成了重大威胁,因为它们的线性延伸跨越了不同的景观,并且经常与河流相交。虽然欧洲国家已经根据欧盟洪水指令制定了洪水风险管理计划(FRMPs),但意大利仍然缺乏对全国范围内铁路网洪水易感性的全面分析。在这里,我们为意大利铁路网(IRN)开发了一个全面的洪水灾害分类。我们的方法集成了洪水灾害图、铁路基础设施数据和数字高程模型,以描述洪水易发铁路沿线的洪水灾害等级。该方法根据地形特征区分陡峭、快速和缓慢的洪水过程。结果表明:在低概率洪涝情景下(重现期≥500 a), IRN (4523.4 km)有25.63%的区域具有洪涝敏感性,在中、高概率洪涝情景下,这一比例分别降至19.09%和9.77%。通过对意大利七个水文区进行区域分析,出现了大量的空间变化,波河地区包含了近一半(47.5%)的所有易受洪水影响的铁路路段。我们的分析还揭示了快速洪水过程的显著优势,其特征是集中时间(12小时)的值。我们的分类框架为风险缓解和资源分配提供了重要见解,完全依赖于frmp和数字高程模型。该方法提供了一种可扩展的方法,适用于其他交通网络和研究领域,支持基础设施管理者制定有针对性的防洪措施。
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International journal of disaster risk reduction
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