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Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators 紧急情况下促进集体意识形成的线索:差距、不一致和指标
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104897
Rob Grace, Feifei Pang, Jess Kropczynski
In emergency communications centers, call takers gather information from 9-1-1 callers which dispatchers then radio to first responders. This workflow changes, however, when communications specialists are introduced to work alongside call takers and dispatchers to make sense of information gathered from multiple physical and social sensors during emergencies. While the work of cross-functional communications teams stands to improve the timeliness and quality of situational awareness information dispatched to first responders, the sociotechnical requirements for collective sensemaking in next-generation emergency communications work remains understudied.
In this research-through-design study, a prototype dashboard and synthetic datasets were developed to examine how cues—informational features that prompt recognition and response—facilitated collective sensemaking among telecommunicators gathering information from 9-1-1 calls and social media during active assailant and flood emergency exercises. During these exercises, three types of cues—gaps, inconsistencies, and indicators—facilitated collective sensemaking by enabling the team to collaboratively assess and reassess incidents reported during the emergencies. However, these cues facilitated collective sensemaking only when paired with multiple resources and coordination mechanisms, including a common operational picture, domain ontology, and standard operating procedures, that allowed telecommunicators to recognize and respond to cues by seeking information to update and modify representations of events shared among members of the communications team. By theorizing cues as relationships between physical features of the environment and actors capable of recognizing and responding to these features, and conceptually defining types of cues that facilitate collective sensemaking, this study offers implications for the design of technologies and work organizations that support collective sensemaking processes.
在应急通信中心,接线员从 9-1-1 呼叫者那里收集信息,然后由调度员广播给急救人员。然而,当通信专家与接线员和调度员一起工作,对紧急情况下从多个物理和社会传感器收集到的信息进行分析时,这种工作流程就会发生变化。在这项通过设计进行的研究中,我们开发了一个原型仪表盘和合成数据集,以考察在主动攻击和洪水应急演习中,提示--促使识别和响应的信息特征--如何促进电信人员从 9-1-1 电话和社交媒体中收集信息的集体感知。在这些演习中,三种类型的线索--空白、不一致和指示器--通过使团队合作评估和重新评估紧急情况中报告的事件,促进了集体感知的形成。然而,这些线索只有在与多种资源和协调机制(包括共同运行图、领域本体论和标准操作程序)相配合时,才能促进集体感知的形成,从而使电信通讯员能够通过寻求信息来识别和响应线索,以更新和修改通讯团队成员之间共享的事件表述。本研究将线索理论化为环境的物理特征与能够识别和响应这些特征的参与者之间的关系,并从概念上定义了促进集体感知建立的线索类型,从而为设计支持集体感知建立过程的技术和工作组织提供了启示。
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引用次数: 0
Landslide-bridge interaction: Insights from an extensive database of Italian case studies 滑坡与桥梁的相互作用:从广泛的意大利案例研究数据库中获得的启示
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104983
Diana Salciarini , Erica Cernuto , Giulia Capati , Francesca Dezi , Lorenzo Brezzi , Fabiola Gibin , Fabio Gabrieli , Stefano Stacul , Angelo Doglioni , Arianna Lupattelli , Nunziante Squeglia , Vincenzo Simeone , Paolo Simonini
Despite the wealth of documented case studies, systematic approaches to correlate landslide characteristics with the damage they cause to bridges are rare. The correlation is challenging due to the complexity of landslides, which can vary in movement types, volume, velocities, materials, and orientations. Additionally, the lack of universally applicable models to forecast bridge responses in case of landslide interaction adds complexity. Recognizing the urgency of addressing this challenge, various countries, including Italy, have introduced guidelines and strategies to manage infrastructure risks and enhance safety. Efforts are underway to develop practical tools for authorities and infrastructure managers, encompassing factors influencing bridge response, especially under the action of natural hazards. This article presents a database of landslide-bridge interactions in Italy, developed under the FABRE Consortium. The database was compiled by analysing 382 bridges across 12 Italian regions. The article explores correlations between landslide characteristics and risk classification for bridges, defined as “Landslide Class of Attention” (L-CoA). The analysis shows that landslide volume is directly correlated with L-CoA severity, with larger volumes leading to higher classifications. Very slow-moving landslides are prevalent in high-risk L-CoA categories, suggesting they are associated with significant volumes and severe consequences. Complete interference between landslides and infrastructure poses the highest risk, while partial interference also contributes significantly. Combined landslides tend to result in more severe L-CoA classifications. The findings underscore the importance of better understanding the interactions between landslides and bridges, to develop predictive models and mitigate the risks posed by landslides to infrastructure in Italy and beyond.
尽管记录了大量的案例研究,但将滑坡特征与滑坡对桥梁造成的破坏相关联的系统方法却很少见。由于山体滑坡的复杂性,其运动类型、体积、速度、材料和方向各不相同,因此关联具有挑战性。此外,缺乏普遍适用的模型来预测桥梁在滑坡作用下的反应,这也增加了复杂性。认识到应对这一挑战的紧迫性,包括意大利在内的多个国家已推出了管理基础设施风险和提高安全性的指导方针和战略。目前正在努力为当局和基础设施管理者开发实用工具,其中包括影响桥梁响应的因素,特别是在自然灾害作用下的响应。本文介绍了在 FABRE 财团下开发的意大利滑坡-桥梁相互作用数据库。该数据库是通过分析意大利 12 个大区的 382 座桥梁编制而成的。文章探讨了滑坡特征与桥梁风险分类(定义为 "滑坡关注等级"(L-CoA))之间的相关性。分析表明,滑坡体积与 L-CoA 严重程度直接相关,体积越大,分类越高。在高风险 L-CoA 类别中,移动速度非常缓慢的滑坡非常普遍,这表明它们与巨大的体积和严重的后果相关。山体滑坡与基础设施之间的完全干扰风险最高,而部分干扰也有很大影响。合并滑坡往往会导致更严重的 L-CoA 分类。这些发现强调了更好地了解山体滑坡与桥梁之间的相互作用的重要性,以便开发预测模型并降低山体滑坡对意大利及其他国家的基础设施造成的风险。
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引用次数: 0
Identifying critical factors affecting the livelihood recovery following disasters: A comparative analysis of China and New Zealand 确定影响灾后生计恢复的关键因素:中国和新西兰的比较分析
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104958
Gujun Pu , Alice Yan Chang-Richards
As damage and loss caused by natural hazards have increased worldwide over the past several decades, it is important for governments and aid agencies to have tools that enable effective post-disaster livelihood recovery to create self-sufficiency for the affected population. This study employs a comparative case study with a mixed method to compare the critical factors affecting livelihood recovery following disasters. Data were collected following the 2013 Lushan earthquake in China and the 2016 Kaikōura earthquake in New Zealand. The results show that the common factors from the comparative case study given by the respondents from both Lushan in China and Kaikōura in New Zealand are “community safety”, “availability of family support”, “level of community cohesion”, “external housing recovery support”, “level of a housing recovery”, and “availability of health and wellbeing support”. Factors that are only in Lushan include “access to income generation assets”, “level of community participation in decision making”, and "availability of skills training programmes”. Factors that are in Kaikōura not in Lushan included “effective governance”, "availability of social welfare support from the government”, and “distance to scenic spots”. Based on the differences and similarities between different factors, this study suggests various stakeholders require more international knowledge and policy sharing, effective communicative mechanisms and the promotion of livelihood transformation process.
过去几十年来,自然灾害造成的破坏和损失在全球范围内不断增加,因此,政府和援助机构必须拥有能够有效恢复灾后生计的工具,使受灾人口能够自给自足。本研究采用混合方法进行比较案例研究,比较影响灾后生计恢复的关键因素。数据是在中国 2013 年芦山地震和新西兰 2016 年凯库拉地震后收集的。结果显示,中国芦山和新西兰Kaikōura的受访者在比较案例研究中给出的共同因素是 "社区安全"、"家庭支持的可用性"、"社区凝聚力水平"、"外部住房恢复支持"、"住房恢复水平 "以及 "健康和福利支持的可用性"。仅在庐山存在的因素包括 "获得创收资产的机会"、"社区参与决策的程度 "和 "技能培训计划的可用性"。开仓有而庐山没有的因素包括 "有效治理"、"政府提供的社会福利支持 "和 "距离风景名胜区的距离"。基于不同因素之间的异同,本研究建议各利益相关方需要更多的国际知识和政策共享、有效的沟通机制以及促进生计转型进程。
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引用次数: 0
Human-safe based electric vehicle evacuation in transportation-power networks during emergencies: A two-stage response framework 紧急情况下基于人类安全的交通-电力网络电动汽车疏散:两阶段响应框架
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104986
Yuqian Cao , Xiao Xu , Yichen Luo , Yue Xiang , Youbo Liu , Weihao Hu , Junyong Liu
The proliferation of electric vehicles (EVs) and the deepening interconnection between transportation and the power grid have heightened the complexity and vulnerability of the coupling transportation-power networks (TPNs). EV evacuation can exert significant dynamic pressure on the TPNs during emergencies. This article presents a baseline reproducible two-stage emergency response framework. In the first stage, we develop a platform for the comprehensive simulation called EV evacuation integrated simulation model (EVEISM), utilizing agent-based modeling. The interaction between the agent models and the GIS-based environment models captures the behavior of EVs in the complete evacuation period, including pre-evacuation and post-evacuation charging, receiving notifications, making destination decisions, planning routes to avoid risks, and traffic dynamics. In the second stage, leveraging EVEISM results to enhance situational awareness, strategic pre-positioning of mobile energy storage systems (MESS) and optimal routing are conducted. A mixed-integer second-order cone programming model is established for the coordinated response of multiple power sources to dispatch MESS dynamically. Case studies are conducted on coupling transportation-power systems, exemplified through the toxic gas leak scenario. The numerical results demonstrate the method's effectiveness in ensuring the safe evacuation of residents and optimizing coordinated response to enhance the system's safety and economic efficiency.
电动汽车(EV)的普及以及交通与电网之间日益加深的相互联系,提高了交通-电力耦合网络(TPN)的复杂性和脆弱性。在紧急情况下,电动汽车疏散会对 TPN 产生巨大的动态压力。本文提出了一个基准可重现的两阶段应急响应框架。在第一阶段,我们利用基于代理的建模方法,开发了一个名为电动汽车疏散综合仿真模型(EVEISM)的综合仿真平台。代理模型与基于地理信息系统的环境模型之间的交互捕捉了电动汽车在整个疏散期间的行为,包括疏散前和疏散后的充电、接收通知、目的地决策、规划路线以规避风险以及交通动态。在第二阶段,利用 EVEISM 的结果增强态势感知,进行移动储能系统(MESS)的战略预定位和优化路由选择。建立了一个混合整数二阶圆锥编程模型,用于多电源协调响应,动态调度 MESS。以有毒气体泄漏为例,对运输-电力系统耦合进行了案例研究。数值结果证明了该方法在确保居民安全疏散和优化协调响应以提高系统安全性和经济效益方面的有效性。
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引用次数: 0
Urban flood hazard insights from multiple perspectives based on internet of things sensor data 基于物联网传感器数据的多角度城市洪水灾害洞察力
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104919
Dianchen Sun , Huimin Wang , Jing Huang , Weiqian Wang , Zehui Zhou , Weidong Huang
Floods are major global natural disasters that cause significant damage. Analyzing urban flood hazards is essential for urban planning and sustainable development. The shift toward proactive urban disaster prevention requires expanding flood hazard assessments beyond flood depth to encompass a broader range of factors to enhance resilience. This study introduces a multiple perspective analysis of urban flood hazards based on internet of things (IoT) sensor data, such as maximum flood depth, total flood events, average drainage time, average accumulation efficiency and average drainage efficiency. This research assesses detailed flood hazards of urban areas and points of interest (POIs) and finds a significant difference of up to 14.6 % in extreme-hazard areas when multiple hazard indicators are used, with the maximum flood depth indicator showing the highest proportion. For medium-hazard areas, the total flood event indicator yielded the highest proportion, accounting for up to 35.7 % of the area. The findings also indicate that POI flood hazards vary significantly depending on the indicator. Medical facilities were found to have extended impacts due to prolonged water accumulation and drainage times, despite infrequent flooding, suggesting that many locations are subject to a moderate hazard level. The study also highlights the heightened hazard of residential buildings in extreme scenarios, underscoring the need for enhanced flood mitigation in residential planning. This study emphasizes adopting multiple perspectives in flood hazard assessment, challenging the traditional reliance on single metrics. This study provides valuable insights for urban planners and policy-makers and advocates for a holistic approach to urban flood risk.
洪水是造成重大损失的全球性自然灾害。分析城市洪水灾害对城市规划和可持续发展至关重要。要实现积极主动的城市防灾转变,就必须将洪水危害评估扩展到洪水深度之外,以涵盖更广泛的因素,从而提高抗灾能力。本研究基于物联网(IoT)传感器数据,如最大洪水深度、洪水事件总数、平均排水时间、平均积水效率和平均排水效率,对城市洪水危害进行了多角度分析。这项研究详细评估了城市地区和兴趣点(POIs)的洪水危害,发现在使用多种危害指标时,极端危害地区的差异高达 14.6%,其中最大洪水深度指标所占比例最高。在中等灾害地区,总洪水事件指标所占比例最高,达 35.7%。研究结果还表明, POI 的洪水危害因指标的不同而有很大差异。研究发现,尽管洪水发生频率不高,但由于积水时间和排水时间较长,医疗设施受到的影响也较大,这表明许多地点的洪水危害程度处于中等水平。该研究还强调了住宅建筑在极端情况下的高度危险性,突出了在住宅规划中加强防洪减灾的必要性。本研究强调在洪水灾害评估中采用多种视角,对传统的单一指标依赖提出了挑战。本研究为城市规划者和政策制定者提供了宝贵的见解,并倡导采用综合方法来应对城市洪水风险。
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引用次数: 0
Flood regulation ecosystem services analysis and security pattern optimization for resilient management adapted to the complex terrain of coastal estuaries: A case study in Xiamen 适应沿海河口复杂地形的洪水调节生态系统服务分析与安全模式优化,以实现弹性管理:厦门案例研究
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104946
Jian Tian , Xuan Chen , Suiping Zeng
The flood risk in coastal areas has been exacerbated by global climate change. Research on flood risk assessment is emerging from the perspective of supply and demand for flood regulation ecosystem services (FRES). However, there are still limitations in the evaluation of lowland regulation, implementation of intelligent algorithms, comparison of multi-grain FRES supply and demand, and overall optimization of security pattern. Therefore, we propose a comprehensive FRES supply assessment method that incorporates soil and vegetation, lowland, and water regulations. Additionally, we introduce the random forest model to enhance the FRES demand assessment approach. Two grain sizes of the sub-catchment area and grid unit are used to compare FRES supply and demand. Using Xiamen as a case study, this research unveils the following findings: (1) Significant disparities exist between the assessment outcomes of FRES based on multiple types of regulatory services and those solely considering soil and vegetation regulation. The areas with high FRES supply extend beyond upper mountain forests to include local lower plains exhibiting strong capabilities for lowland or water system regulation. (2) Consistent yet distinct results are observed when comparing two grain sizes. Imbalances in supply and demand occur in estuaries, bays, and densely built-up regions. Sub-catchment units exhibit wider distribution and concentration, while grid units display more dispersed patterns. (3) In terms of in-situ regulation, 26.77 km2 ecological protection area, 9.85 km2 ecological restoration area, and 119.59 km2 construction land flood control intervention area are demarcated. From a directional regulation perspective, 22 FRES corridors connecting source and sink areas along with 24 pinch points are identified. Optimizing security patterns through coordinated management of FRES supply and demand can enhance the resilience of coastal estuaries.
全球气候变化加剧了沿海地区的洪水风险。从洪水调节生态系统服务(FRES)的供需角度进行洪水风险评估的研究正在兴起。然而,在低地调控评价、智能算法实现、多粒度 FRES 供需比较、保障格局整体优化等方面仍存在局限性。因此,我们提出了一种结合土壤和植被、低地和水调节的综合 FRES 供应评估方法。此外,我们还引入了随机森林模型来改进 FRES 需求评估方法。我们采用子流域面积和网格单元两种粒度来比较 FRES 的供给和需求。本研究以厦门为例,揭示了以下结论:(1)基于多种调节服务的 FRES 评估结果与仅考虑土壤和植被调节的 FRES 评估结果之间存在显著差异。FRES 供应量高的地区不仅包括高山森林,还包括低地或水系调节能力强的当地低平原。(2) 在比较两种粒度时,观察到了一致但不同的结果。在河口、海湾和建筑密集地区出现了供需失衡。小流域单元显示出更广泛的分布和集中,而网格单元则显示出更分散的模式。(3)就地调控方面,划定生态保护区 26.77 平方公里、生态修复区 9.85 平方公里、建设用地防洪干预区 119.59 平方公里。从定向调控的角度,确定了连接源区和汇水区的 22 条 FRES 走廊和 24 个夹点。通过对 FRES 供需的协调管理来优化安全模式,可以增强沿海河口的抗灾能力。
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引用次数: 0
Climate change vulnerability assessment for adaptation planning in Uttarakhand, Indian Himalaya 为印度喜马拉雅山脉北阿坎德邦的适应规划进行气候变化脆弱性评估
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104938
Seema Rani, Purushottam Tiwari
Climate change vulnerability estimation at all spatial scales is imperative for the development of effective adaptation strategies in the biogeographically fragile Himalayan region. This study aims to estimate district-wise climate change vulnerability in the state of Uttarakhand for the year 2022 by integrating climatic, environmental, and socio-economic factors. Employing an integrated approach, nine components (climate change, natural disaster, ecosystem services, agriculture, socio-economic status, human resource capacity, infrastructure, basic facilities, and social/natural capital) incorporating a total of 63 indicators, are used to estimate exposure (E), sensitivity (S), adaptive capacity (AC) and the vulnerability of the study area. Principal component analysis (PCA) is used to assess the suitability and weights of all the indicators. The findings show that middle (1400–2400 m a.s.l.) and higher (>2400 m a.s.l.) districts of the state are more vulnerable (−0.68 to −1.50) than lower (1–1400 m a.s.l.) districts (0.16 to −0.26). Based on the vulnerability index (−0.68 to −1.50), five districts-Uttarkashi, Rudraprayag, Chamoli, Champawat, Pithoragarh, and Bageshwar are identified as priority districts for adaptation planning. The high vulnerability is primarily attributed to increased exposure to excessive precipitation, cold waves, cloudbursts, and flood events, coupled with high ecosystem sensitivity and low adaptive capacity. In contrast, the lower districts of the state benefit from better infrastructure, social and natural capital, and connectivity, which contribute to low vulnerability. The suggested strategies in the present study would help policymakers to allocate resources efficiently, fostering long-term resilience to climate change and sustainable development.
要在生物地理脆弱的喜马拉雅地区制定有效的适应战略,就必须对所有空间尺度的气候变化脆弱性进行估算。本研究旨在通过整合气候、环境和社会经济因素,估算 2022 年北阿坎德邦各地区的气候变化脆弱性。本研究采用综合方法,利用九个组成部分(气候变化、自然灾害、生态系统服务、农业、社会经济状况、人力资源能力、基础设施、基本设施和社会/自然资本)共 63 个指标来估算研究地区的暴露程度 (E)、敏感程度 (S)、适应能力 (AC) 和脆弱性。主成分分析(PCA)用于评估所有指标的适宜性和权重。研究结果表明,该州中等(1400-2400 米海拔)和较高(2400 米海拔)地区的脆弱性指数(-0.68 至-1.50)高于较低(1-1400 米海拔)地区的脆弱性指数(0.16 至-0.26)。根据脆弱性指数(-0.68 至-1.50),五个地区--Uttarkashi、Rudraprayag、Chamoli、Champawat、Pithoragarh 和 Bageshwar 被确定为适应规划的优先地区。这些地区的高脆弱性主要归因于受过度降水、寒潮、云雾骤降和洪水事件影响的程度增加,以及生态系统的高敏感性和低适应能力。相比之下,该州较低的地区受益于较好的基础设施、社会和自然资本以及连通性,这有助于降低脆弱性。本研究中建议的战略将有助于决策者有效地分配资源,促进对气候变化的长期适应能力和可持续发展。
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引用次数: 0
Natural and environmental risk communication: A scoping review of campaign experiences, applications and tools 自然与环境风险交流:活动经验、应用和工具的范围审查
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104936
Alessandra Massa, Francesca Comunello
This paper discusses natural and environmental risk communication and presents the findings of a scoping review that set out to identify campaign experiences, concrete applications, and tools. The 125 papers reviewed were selected based on the principle of intentionality in the design and dissemination of communicative devices. The papers demonstrate the complexity of risk communication and the flexibility of the tools provided. The literature mainly discusses experiences addressing pre-risk phases, with the American context being the most extensively researched. Future research should concentrate on designing and analyzing tools suitable for diverse audiences and seen clearly to apply principles of participation and co-design.
本文讨论了自然与环境风险交流问题,并介绍了旨在确定活动经验、具体应用和工具的范围审查结果。所审查的 125 篇论文是根据设计和传播传播工具的意图原则选出的。这些论文展示了风险交流的复杂性和所提供工具的灵活性。文献主要讨论了风险前阶段的经验,其中对美国背景的研究最为广泛。未来的研究应集中于设计和分析适合不同受众的工具,并明确应用参与和共同设计的原则。
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引用次数: 0
Social media data for disaster risk management and research 用于灾害风险管理和研究的社交媒体数据
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104980
Dmitry Erokhin, Nadejda Komendantova
The rise of social media has revolutionized disaster risk reduction (DRR) by offering real-time, large-scale data collection and fostering dynamic community engagement. This study explores the potential of social media analytics as a vital resource in understanding population responses during disasters. By harnessing social media data, researchers and policymakers can gain insights into public sentiment, immediate needs, and reactions to risk reduction measures. The study presents case studies on major disasters, including earthquakes and pandemics, demonstrating the efficacy and challenges of social media as a tool for DRR. Despite its advantages, such as immediacy and broad reach, the study addresses significant concerns like data accuracy, privacy, and misinformation. Drawing from the Horizon Europe initiatives, this research offers a comprehensive analysis of how social media can enhance disaster preparedness and response, while proposing future avenues for optimizing the integration of social media data in DRR strategies.
社交媒体的兴起为降低灾害风险(DRR)带来了革命性的变化,它提供了实时、大规模的数据收集,并促进了动态的社区参与。本研究探讨了社交媒体分析作为了解灾害期间人口响应的重要资源的潜力。通过利用社交媒体数据,研究人员和政策制定者可以深入了解公众情绪、迫切需求以及对降低风险措施的反应。本研究介绍了有关地震和大流行病等重大灾害的案例研究,展示了社交媒体作为减灾工具的功效和挑战。尽管社交媒体具有即时性和覆盖面广等优势,但本研究也探讨了数据准确性、隐私和错误信息等重大问题。这项研究借鉴了地平线欧洲计划,对社交媒体如何加强备灾和救灾工作进行了全面分析,同时提出了在减灾战略中优化整合社交媒体数据的未来途径。
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引用次数: 0
Situating the science of disaster risk reduction and management (DRRM) in Nepal for policy and planning 尼泊尔减少和管理灾害风险(DRRM)科学的政策和规划定位
IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104989
Anshu Ogra , Amy Donovan , Maud Borie , Mark Pelling , Rachana Upadhyaya
The United Nations Framework Convention on Climate Change (UNFCCC) emphasises the necessity for “more science” in advancing Disaster Risk Reduction (DRR); however, this initiative often falters in developing countries. This paper utilises a situated knowledge framework from feminist science studies to analyse the knowledge institutionalisation pathways of two Scientific Administrative Organisations (SAOs) in Nepal: the Department of Hydrology and Meteorology (DHM) and the Department of Mines and Geology (DMG). These organisations are pivotal in generating knowledge advisories for Disaster Risk Reduction and Management (DRRM). Our findings indicate that knowledge production processes within these institutions are profoundly shaped by their contextual realities. Notably, the understanding of what constitutes “science” for DRR is influenced by the vision and mission statements of the SAOs, which are further informed by national mandates. The study also reveals entrenched knowledge hierarchies and power dynamics that elevate hazard research to “core science,” while relegating social science-based risk assessments to a secondary role. By examining these SAOs, we highlight how SAOs operational context complicates the straightforward demand for “more science”. To address these challenges, we argue for greater visibility of the operational context of these SAOs and emphasise the need to reassess their positioning within the DRR landscape to meet the evolving expectations for risk-based scientific advisories.
联合国气候变化框架公约》(UNFCCC)强调了 "更多科学 "在推进减少灾害风险(DRR)工作中的必要性;然而,这一举措在发展中国家却往往裹足不前。本文利用女性主义科学研究中的情景知识框架,分析了尼泊尔两个科学行政组织(SAOs)的知识制度化途径:水文和气象部(DHM)以及矿产和地质部(DMG)。这两个组织在为减少和管理灾害风险(DRRM)提供知识建议方面发挥着关键作用。我们的研究结果表明,这些机构的知识生产过程深受其现实环境的影响。值得注意的是,对什么是减少灾害风险的 "科学 "的理解受到 SAO 的愿景和使命宣言的影响,而这些愿景和使命宣言又受到国家任务的影响。研究还揭示了根深蒂固的知识等级制度和权力动态,它们将灾害研究提升为 "核心科学",而将基于社会科学的风险评估置于次要地位。通过对这些 SAOs 的研究,我们强调了 SAOs 的运作背景是如何使 "更多科学 "的直接需求复杂化的。为了应对这些挑战,我们主张提高这些 SAO 运作背景的能见度,并强调有必要重新评估它们在减灾领域的定位,以满足人们对基于风险的科学咨询不断发展的期望。
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International journal of disaster risk reduction
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