At first glance(一瞥),10-year-old B.Kenit from the coastal town of Visakhapatnam in India looks like any other school-going child,but there is more than meets the eye.Inspired by a tsunami drill conducted in his schoo...At first glance(一瞥),10-year-old B.Kenit from the coastal town of Visakhapatnam in India looks like any other school-going child,but there is more than meets the eye.Inspired by a tsunami drill conducted in his school when he was eight,the third grader be-came a Disaster Risk Reduction(DRR)advocate,educating his fel-low students and community members on early warning,evacua-tion,and search and rescue.展开更多
The China Meteorological Administration(CMA)said that in the last five years,China has made big improvements in its weather services.This includes better weather forecasts and ways to protect people from disasters.
The Hengduan Mountains region(HMR)is one of the most densely distributed and severe flash flood disaster-prone areas in southwest China.It is also a key area for major engineering projects and beautiful countryside co...The Hengduan Mountains region(HMR)is one of the most densely distributed and severe flash flood disaster-prone areas in southwest China.It is also a key area for major engineering projects and beautiful countryside construction in Southwest China.However,previous studies have not systematically summarized the development characteristics and formation modes of flash flood disasters in the HMR,which limits the development of theoretical and technical system for flood control.In this study,we focused on the physical processes of flash flood disasters in the HMR,including generation,movement,and disaster formation,and clarified the dominant disaster-inducing conditions(multiple humid monsoon circulation,high potential energy and high heterogenous underlying surface)and disaster development characteristics(high spatio-temporal heterogeneity,highly concentrated energy,chain and cascading effects,and clustered occurrence)of flash floods in the HMR.Based on the entire processes of flash flood disasters,three major formation modes have been summarized:the runoff generation mode of vegetation-hydrology-soil coupling dominated by high hydraulic gradient in mountainous areas,strong flow-sediment coupling movement,and serious disaster losses due to high exposure of disaster bearing objects.Finally,based on the issues in previous research,four future research challenges for flash flood disaster in the HMR were proposed.Our study provides insights into disaster prevention and reduction research,including fundamental theoretical system,precise risk assessment of regional disasters,and accurate early warning and forecasting of flash floods.展开更多
Snow and freezing disasters are recurrent weather and climate phenomena that affect the world annually.These events exert a significant influence on numerous aspects of life,including transportation,power supply,and d...Snow and freezing disasters are recurrent weather and climate phenomena that affect the world annually.These events exert a significant influence on numerous aspects of life,including transportation,power supply,and daily activities,and result in considerable economic losses.This study aims to provide a comprehensive analysis of the regions affected by these disasters,the preventive and responsive measures employed,recent advancements in key materials,and the challenges encountered.By doing so,we can gain a deeper understanding of the vital role,significant advantages,and untapped potential of key materials for effectively preventing and responding to snow and freezing disasters.Furthermore,promoting research and utilization of these materials not only contributes to the development of the safety and emergency equipment industry but also strengthens the supply of advanced and suitable safety and emergency equipment.展开更多
This study draws from detailed qualitative case studies of three schools that practise disaster risk reduction (DRR) education initiatives in their curriculum in Nepal. Using curriculum mapping and discourse analysis,...This study draws from detailed qualitative case studies of three schools that practise disaster risk reduction (DRR) education initiatives in their curriculum in Nepal. Using curriculum mapping and discourse analysis, it aims to elaborate the significance of relevant disaster risk reduction (DRR) content in school curriculum to prepare youths for disaster response and recovery. It elaborates the nature of the current DRR content covered in curricula and textbooks and provides suggestions to address the identified disaster-related issues in the school curriculum. It further elaborates that incorporation of local and contextualised DRR content in school curricula contributes to the establishment of the “culture of resilience” in disaster prone context like Nepal. It concludes that more organised and holistic approach is essential to develop disaster and management knowledge, skills and attitudes to youths.展开更多
Landslides represent a growing global challenge,particularly in mountainous and rapidly urbanising regions where environmental degradation and socio-economic vulnerabilities converge.This study investigates the interr...Landslides represent a growing global challenge,particularly in mountainous and rapidly urbanising regions where environmental degradation and socio-economic vulnerabilities converge.This study investigates the interrelationships between Integrated Landslide Disaster Risk Management(ILDRiM)and the United Nations Sustainable Development Goals(SDGs),advancing a systemsbased understanding of landslide risk as a socially constructed and development-driven phenomenon.Drawing on a narrative literature review and a Design Structure Matrix(DSM),the research identifies eight critical drivers of landslide disaster risk:deforestation,climate change,urbanisation,infrastructure development,community vulnerability,exposure to landslides,ineffective governance,and lack of scientific integration into policymaking.The DSM framework systematically maps these drivers against the 17 SDGs to evaluate the nature and strength of their interactions.The analysis reveals significant synergies,where addressing specific drivers supports multiple SDGs,and trade-offs,where risk reduction efforts may inadvertently hinder other development objectives if not implemented inclusively and strategically.Findings underscore the transformative potential of embedding ILDRiM within national and local development frameworks.Prioritising governance reform,scientific innovation,and resilient infrastructure(SDGs 16,17,and 9)is particularly effective for advancing landslide risk reduction while supporting broader sustainability outcomes.The study also highlights the need for anticipatory,cross-sectoral,and community-driven approaches to risk governance.This research offers actionable insights for policymakers,practitioners,and researchers seeking to align disaster risk management with sustainable development planning.It proposes a novel methodology for assessing systemic interlinkages between disaster risk drivers and the SDGs.It calls for further research to refine data integration,address context-specific risks,and strengthen the evidence base for risk-informed development.By operationalising ILDRiM through the SDG framework,this study supports creating more resilient,equitable,and sustainable communities in landslide-prone regions.展开更多
Located on the mountainous western edge of Beijing Municipality,Mentougou District is renowned for its breathtaking natural landscapes and rich cultural heritage.On 22 June,I had the opportunity to visit the district,...Located on the mountainous western edge of Beijing Municipality,Mentougou District is renowned for its breathtaking natural landscapes and rich cultural heritage.On 22 June,I had the opportunity to visit the district,nearly two years after it was struck by a catastrophic flood that left widespread destruction in its wake.My visit provided a unique opportunity to observe the ongoing recovery e!orts and evaluate how the district has leveraged coordinated planning,technology and the resilience of its people to rebuild.The purpose of the visit was to witness these recovery e!orts firsthand and gain insight into the strategies that have helped Mentougou overcome the lingering e!ects of this environmental disaster.展开更多
The increasing frequency and severity of natural disasters,exacerbated by global warming,necessitate novel solutions to strengthen the resilience of Critical Infrastructure Systems(CISs).Recent research reveals the si...The increasing frequency and severity of natural disasters,exacerbated by global warming,necessitate novel solutions to strengthen the resilience of Critical Infrastructure Systems(CISs).Recent research reveals the sig-nificant potential of natural language processing(NLP)to analyze unstructured human language during disasters,thereby facilitating the uncovering of disruptions and providing situational awareness supporting various aspects of resilience regarding CISs.Despite this potential,few studies have systematically mapped the global research on NLP applications with respect to supporting various aspects of resilience of CISs.This paper contributes to the body of knowledge by presenting a review of current knowledge using the scientometric review technique.Using 231 bibliographic records from the Scopus and Web of Science core collections,we identify five key research areas where researchers have used NLP to support the resilience of CISs during natural disasters,including sentiment analysis,crisis informatics,data and knowledge visualization,disaster impacts,and content analysis.Furthermore,we map the utility of NLP in the identified research focus with respect to four aspects of resilience(i.e.,preparedness,absorption,recovery,and adaptability)and present various common techniques used and potential future research directions.This review highlights that NLP has the potential to become a supplementary data source to support the resilience of CISs.The results of this study serve as an introductory-level guide designed to help scholars and practitioners unlock the potential of NLP for strengthening the resilience of CISs against natural disasters.展开更多
A terrible disaster struck our town last month,which brought heavy rain and strong winds all night.Many houses were damaged,and some even fell down,leaving hundreds of people homeless.However,what surprised us most wa...A terrible disaster struck our town last month,which brought heavy rain and strong winds all night.Many houses were damaged,and some even fell down,leaving hundreds of people homeless.However,what surprised us most was the great unity shown by everyone.Neighbors helped each other carry things,sharing food and warm clothes,while volunteers from other towns came to offer support.With everyone's efforts,we started the recovery work quickly,which made us believe that we could rebuild our home soon.展开更多
Background Efficient disaster victim detection(DVD)in urban areas after natural disasters is crucial for minimizing losses.However,conventional search and rescue(SAR)methods often experience delays,which can hinder th...Background Efficient disaster victim detection(DVD)in urban areas after natural disasters is crucial for minimizing losses.However,conventional search and rescue(SAR)methods often experience delays,which can hinder the timely detection of victims.SAR teams face various challenges,including limited access to debris and collapsed structures,safety risks due to unstable conditions,and disrupted communication networks.Methods In this paper,we present DeepSafe,a novel two-level deep learning approach for multilevel classification and object detection using a simulated disaster victim dataset.DeepSafe first employs YOLOv8 to classify images into victim and non-victim categories.Subsequently,Detectron2 is used to precisely locate and outline the victims.Results Experimental results demonstrate the promising performance of DeepSafe in both victim classification and detection.The model effectively identified and located victims under the challenging conditions presented in the dataset.Conclusion DeepSafe offers a practical tool for real-time disaster management and SAR operations,significantly improving conventional methods by reducing delays and enhancing victim detection accuracy in disaster-stricken urban areas.展开更多
In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform s...In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform scheme,using earthquake disasters as an example.By integrating digital twin technology and artificial intelligence technology,a four-layer teaching framework consisting of data layer,model layer,platform layer,and intelligent layer is constructed.Progressive teaching segments of“cognition-simulation-decision-making”are designed to establish a comprehensive training path from seismic geological survey to disaster early warning and decision-making.This scheme shifts the traditional field practice venue to a safe virtual environment,promotes students’understanding of geological hazards from static fragments to dynamic processes,enhances their comprehensive decision-making ability in geological disaster prevention and mitigation,and provides theoretical support and practical guidance for cultivating interdisciplinary talents in geological hazard prevention.展开更多
Based on the site investigation of a lightning stroke accident in a coal mine in Weiyuan County during a strong thunderstorm process on the night of August 10,2024,combined with the investigation data of the accident ...Based on the site investigation of a lightning stroke accident in a coal mine in Weiyuan County during a strong thunderstorm process on the night of August 10,2024,combined with the investigation data of the accident site,the causes of the lightning stroke accident were analyzed,and the corresponding rectification suggestions were put forward.展开更多
Rainfall-induced landslides are often highly destructive.Reviewing and analyzing the causes,processes,impacts,and deficiencies in emergency response is critical for improving disaster prevention and management.From th...Rainfall-induced landslides are often highly destructive.Reviewing and analyzing the causes,processes,impacts,and deficiencies in emergency response is critical for improving disaster prevention and management.From the night of July 21 to the morning of July 22,2024,the Kencho Shacha Gozdi Village in Gezei Gofa,Southern Nations,Nationalities,and Peoples'Region,Ethiopia,suffered heavy rainfall that triggered two landslides.By July25,this event had claimed at least 257 lives.This study presents a detailed characterization of the landslides using multi-source data.By analyzing the landslide disaster process,this study summarizes key lessons and provides suggestions for preventing rainfall-induced geological hazards.The results indicate that rainfall has the greatest impact on the occurrence of landslides,while lithology and human activities have promoted and strengthened the landslide disaster.Despite the active disaster response in the local area,many problems were still exposed in the emergency response work.This analysis offers valuable insights for mitigating rainfall-induced geological hazards and enhancing emergency response capabilities.展开更多
Rainstorm-induced flood hazards in mountainous areas often result in complex cascading effects by interacting with environmental and human systems.However,traditional studies typically categorize them simply as clearw...Rainstorm-induced flood hazards in mountainous areas often result in complex cascading effects by interacting with environmental and human systems.However,traditional studies typically categorize them simply as clearwater floods or debris floods/flows,overlooking their evolutionary characteristics and compound impacts.This study presents a novel classification-based approach to investigate the formation and destructive mechanisms of a catastrophic composite disaster of flash flood and debris flow in the Dayao Gully(DYG)catchment in Hanyuan County,Sichuan Province,China.The event resulted in 14 fatalities,25 missing persons,and extensive infrastructure damage.Through comprehensive field investigations and multi-method analysis,three distinct disaster zones were identified with different magnitudes and impacts:(1)a clearwater flood disaster region with minimal geomorphological changes under a 5-year return period rainfall;(2)a debris flood disaster region triggered by a 30-year return period rainfall,leading to intense sediment transport with a total deposit volume of 52,511 m^(3);and(3)a sediment-induced flood disaster region characterized by significant riverbed aggradation and infrastructure destruction due to sediment-induced blockage effects.The results reveal that the cascading characteristics of this composite disaster were primarily driven by intense rainfall,enhanced sediment transport motivated by supracritical shear stress,and interactions with human infrastructure(e.g.,bridges and buildings).This classification-based approach provides a quantitative assessment of spatial characteristics of cascading flood disasters,offering new insights into their evolutionary characteristics and highlighting the necessity for targeted disaster mitigation strategies in sedimentprone mountainous regions.展开更多
To mitigate ecological degradation and improve human well-being,the Chinese Government has implemented the largest disaster resettlement program from 2011 to 2020.Ankang Prefecture,as one of the key regions in Shaanxi...To mitigate ecological degradation and improve human well-being,the Chinese Government has implemented the largest disaster resettlement program from 2011 to 2020.Ankang Prefecture,as one of the key regions in Shaanxi Province where this largescale resettlement program was performed,has provided a model for observing and evaluating the impact of the resettlement project,both within Shaanxi Province and across other regions of China.As a place where a number of protection and development policies converge,the economic and social development of Ankang is confronted with multiple constraints.Measuring livelihood resilience and further evaluating its impact in this region is key to the delivery and output of disaster resettlement programs to improve human well-being.We attempted to empirically examine the significance and impact of livelihood resilience in the context of disaster resettlement.This study expanded the social–ecological system resilience theory to examine rural household livelihood systems.We used the spatial vector method and 657 field research data collected in July 2021 from Ankang Prefecture to measure the livelihood resilience of rural households and elucidate both general and specific aspects.The sustainable household well-being(SHWB)of rural households was measured in five dimensions concerning the Millennium Ecosystem Assessment(MA)report.In econometrics,we used coarsened exact matching(CEM)to stratify the sample and reduce the computational bias.We then applied group regression to test the effect of livelihood resilience on SHWB empirically.The findings indicate that:(1)livelihood resilience is significantly and positively related to SHWB,and it is conducive to the level of well-being;(2)disaster resettlement has a negative effect on SHWB;(3)energy and medical facilities in resettlement infrastructure and services play active roles in SHWB.These results have policy implications for strengthening livelihood resilience and improving human well-being and important implications for livelihood development in rural areas across China and other developing nations.展开更多
In deep underground resources mining engineering,rock mass exists in a three-dimensional environment of high stress,high fluid pressure,and high temperature.With the stress disturbance of mining engineering,it is easy...In deep underground resources mining engineering,rock mass exists in a three-dimensional environment of high stress,high fluid pressure,and high temperature.With the stress disturbance of mining engineering,it is easy to trigger high-energy coal-rock dynamic disasters,which severely restricts the safe and efficient development of deep resources.To investigate the non-linear fracture evolution process and key precursor laws of the coal-rock mass in the process of deep mining,an experimental study was conducted based on the true three-dimensional disturbance stress simulation experiment system.Results showed that the disturbance disaster process of the coal-rock mass has significant stages,and the corresponding acoustic emission(AE)signals also show regular changes.The necessary condition for the occurrence of coal-rock dynamic disasters is that the coupling of the maximum static stress and disturbance stress amplitude should exceed the damage threshold value,the increase ofσ_(2)can reduce the occurrence probability of disaster,and the influence of disturbance frequency on disaster intensity is transition.There are obvious stages in the damage accumulation process of stress-disturbed rock mass,including:damage weakening stage,no damage stage,and accelerated damage stage.The brief AE event calm period and the rapid decline of high average frequency value accompanied with the surge in the low-rise time/amplitude value before the disaster can be regarded as the key precursors of the rock dynamic disaster.The research results are crucial for understanding the disaster evolution of rock mass rupture disturbed by three-dimensional stress in deep engineering,and for the early warning and prevention of coal-rock dynamic disasters.展开更多
In the context of climate change,the acceleration of the global water cycle has led to the emergence of abrupt transitions between drought and flood events,presenting a new challenge for flood and drought disaster mit...In the context of climate change,the acceleration of the global water cycle has led to the emergence of abrupt transitions between drought and flood events,presenting a new challenge for flood and drought disaster mitigation.Abrupt transitions between drought and flood refer to a phenomenon in which an extreme drought event quickly shifts to an extreme flood event,or vice versa,within a relatively short time span.This phenomenon disrupts the traditional spatiotemporal distribution patterns of water-related disasters,reflecting not only the extreme unevenness in the distribution of water resources but also the rapid alternation of the water cycle's evolution(He et al.,2016).Moreover,due to its suddenness,extremity,and complexity,it poses severe threats to human societies and ecosystems.Scientifically addressing abrupt transitions between drought and flood has thus become a new challenge in flood and drought disaster prevention.展开更多
Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree c...Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree classification rules through multi-source and multi-temporal feature fusion, classified groundobjects before the disaster and extracted flood information in the disaster area based on optical imagesduring the disaster, so as to achieve rapid acquisition of the disaster situation of each disaster bearing object.In the case of Qianliang Lake, which suffered from flooding in 2020, the results show that decision treeclassification algorithms based on multi-temporal features can effectively integrate multi-temporal and multispectralinformation to overcome the shortcomings of single-temporal image classification and achieveground-truth object classification.展开更多
Flood disaster is a serious threat to urban security,and flood control and drainage planning is an important measure to ensure urban security.This paper takes planning guidance to empirical research as the main axis.O...Flood disaster is a serious threat to urban security,and flood control and drainage planning is an important measure to ensure urban security.This paper takes planning guidance to empirical research as the main axis.On the basis of meteorological data and spatial data,through the analysis on the risk of disaster-causing factors of flood disasters,the sensitivity of disaster-pregnant environment,the vulnerability of disaster-bearing bodies and the ability of disaster prevention and mitigation,12 indicators are selected to construct a comprehensive evaluation index system for flood disaster risk.Handan City is taken as an example to study the spatial distribution characteristics of flood disaster risk.Based on AHP,weights are assigned to the evaluation indicators of flood disasters in the system,and the risk visualization is carried out in GIS.According to comprehensive risk assessment results,it could put forward corresponding disaster prevention planning strategy for defending flood disaster in Handan City.展开更多
Interdependencies between critical infrastructures and the economy amplify the effects of damage caused by disasters.The growing interest in impacts beyond physical damage and community resilience has spurred a surge ...Interdependencies between critical infrastructures and the economy amplify the effects of damage caused by disasters.The growing interest in impacts beyond physical damage and community resilience has spurred a surge in literature on economic modeling methodologies for estimating indirect economic impacts of disasters and the recovery of economic activity over time.In this review,we present a framework for categorizing modeling approaches that assess indirect economic impacts across natural hazards and anthropogenic disasters such as cyber attacks.We first conduct a comparative analysis of macroeconomic models,focusing on the approaches capturing sectoral interdependencies.These include the Leontief Input-Output(I/O)model,the Inoperability Input-Output Model(IIM),the Dynamic Inoperability Input-Output Model(DIIM),the Adaptive Regional Input-Output(ARIO)model,and the Computable General Equilibrium(CGE)model and its extensions.We evaluate their applicability to disaster scenarios based on input data availability,the compatibility of model assumptions,and output capabilities.We also reveal the functional relationships of input data and output metrics across economic modeling approaches for inter-sectoral impacts.Furthermore,we examine how the damage mechanisms posed by different types of disasters translate into model inputs and impact modeling processes.This synthesis provides guidance for researchers and practitioners in selecting and configuring models based on specific disaster scenarios.It also identifies the gaps in the literature,including the need for a deeper understanding of model performance reliability,key drivers of economic outcomes in different disaster contexts,and the disparities in modeling approach applications across various hazard types.展开更多
文摘At first glance(一瞥),10-year-old B.Kenit from the coastal town of Visakhapatnam in India looks like any other school-going child,but there is more than meets the eye.Inspired by a tsunami drill conducted in his school when he was eight,the third grader be-came a Disaster Risk Reduction(DRR)advocate,educating his fel-low students and community members on early warning,evacua-tion,and search and rescue.
文摘The China Meteorological Administration(CMA)said that in the last five years,China has made big improvements in its weather services.This includes better weather forecasts and ways to protect people from disasters.
基金The Second Tibetan Plateau Scientific Expedition and Research Program,No.2019QZKK0903-02National Key R&D Program of China,No.2022YFC3002902National Natural Science Foundation of China,No.42201086。
文摘The Hengduan Mountains region(HMR)is one of the most densely distributed and severe flash flood disaster-prone areas in southwest China.It is also a key area for major engineering projects and beautiful countryside construction in Southwest China.However,previous studies have not systematically summarized the development characteristics and formation modes of flash flood disasters in the HMR,which limits the development of theoretical and technical system for flood control.In this study,we focused on the physical processes of flash flood disasters in the HMR,including generation,movement,and disaster formation,and clarified the dominant disaster-inducing conditions(multiple humid monsoon circulation,high potential energy and high heterogenous underlying surface)and disaster development characteristics(high spatio-temporal heterogeneity,highly concentrated energy,chain and cascading effects,and clustered occurrence)of flash floods in the HMR.Based on the entire processes of flash flood disasters,three major formation modes have been summarized:the runoff generation mode of vegetation-hydrology-soil coupling dominated by high hydraulic gradient in mountainous areas,strong flow-sediment coupling movement,and serious disaster losses due to high exposure of disaster bearing objects.Finally,based on the issues in previous research,four future research challenges for flash flood disaster in the HMR were proposed.Our study provides insights into disaster prevention and reduction research,including fundamental theoretical system,precise risk assessment of regional disasters,and accurate early warning and forecasting of flash floods.
基金supported by the National Natural Science Foundation of China(Nos.52273220 and 22205243)。
文摘Snow and freezing disasters are recurrent weather and climate phenomena that affect the world annually.These events exert a significant influence on numerous aspects of life,including transportation,power supply,and daily activities,and result in considerable economic losses.This study aims to provide a comprehensive analysis of the regions affected by these disasters,the preventive and responsive measures employed,recent advancements in key materials,and the challenges encountered.By doing so,we can gain a deeper understanding of the vital role,significant advantages,and untapped potential of key materials for effectively preventing and responding to snow and freezing disasters.Furthermore,promoting research and utilization of these materials not only contributes to the development of the safety and emergency equipment industry but also strengthens the supply of advanced and suitable safety and emergency equipment.
文摘This study draws from detailed qualitative case studies of three schools that practise disaster risk reduction (DRR) education initiatives in their curriculum in Nepal. Using curriculum mapping and discourse analysis, it aims to elaborate the significance of relevant disaster risk reduction (DRR) content in school curriculum to prepare youths for disaster response and recovery. It elaborates the nature of the current DRR content covered in curricula and textbooks and provides suggestions to address the identified disaster-related issues in the school curriculum. It further elaborates that incorporation of local and contextualised DRR content in school curricula contributes to the establishment of the “culture of resilience” in disaster prone context like Nepal. It concludes that more organised and holistic approach is essential to develop disaster and management knowledge, skills and attitudes to youths.
基金DGAPA-UNAM for providing financial support to conduct landslide risk research through Project PAPIIT IN300823。
文摘Landslides represent a growing global challenge,particularly in mountainous and rapidly urbanising regions where environmental degradation and socio-economic vulnerabilities converge.This study investigates the interrelationships between Integrated Landslide Disaster Risk Management(ILDRiM)and the United Nations Sustainable Development Goals(SDGs),advancing a systemsbased understanding of landslide risk as a socially constructed and development-driven phenomenon.Drawing on a narrative literature review and a Design Structure Matrix(DSM),the research identifies eight critical drivers of landslide disaster risk:deforestation,climate change,urbanisation,infrastructure development,community vulnerability,exposure to landslides,ineffective governance,and lack of scientific integration into policymaking.The DSM framework systematically maps these drivers against the 17 SDGs to evaluate the nature and strength of their interactions.The analysis reveals significant synergies,where addressing specific drivers supports multiple SDGs,and trade-offs,where risk reduction efforts may inadvertently hinder other development objectives if not implemented inclusively and strategically.Findings underscore the transformative potential of embedding ILDRiM within national and local development frameworks.Prioritising governance reform,scientific innovation,and resilient infrastructure(SDGs 16,17,and 9)is particularly effective for advancing landslide risk reduction while supporting broader sustainability outcomes.The study also highlights the need for anticipatory,cross-sectoral,and community-driven approaches to risk governance.This research offers actionable insights for policymakers,practitioners,and researchers seeking to align disaster risk management with sustainable development planning.It proposes a novel methodology for assessing systemic interlinkages between disaster risk drivers and the SDGs.It calls for further research to refine data integration,address context-specific risks,and strengthen the evidence base for risk-informed development.By operationalising ILDRiM through the SDG framework,this study supports creating more resilient,equitable,and sustainable communities in landslide-prone regions.
文摘Located on the mountainous western edge of Beijing Municipality,Mentougou District is renowned for its breathtaking natural landscapes and rich cultural heritage.On 22 June,I had the opportunity to visit the district,nearly two years after it was struck by a catastrophic flood that left widespread destruction in its wake.My visit provided a unique opportunity to observe the ongoing recovery e!orts and evaluate how the district has leveraged coordinated planning,technology and the resilience of its people to rebuild.The purpose of the visit was to witness these recovery e!orts firsthand and gain insight into the strategies that have helped Mentougou overcome the lingering e!ects of this environmental disaster.
基金financial support from the National Science Foundation(NSF)EPSCoR R.I.I.Track-2 Program,awarded under the NSF grant number 2119691.
文摘The increasing frequency and severity of natural disasters,exacerbated by global warming,necessitate novel solutions to strengthen the resilience of Critical Infrastructure Systems(CISs).Recent research reveals the sig-nificant potential of natural language processing(NLP)to analyze unstructured human language during disasters,thereby facilitating the uncovering of disruptions and providing situational awareness supporting various aspects of resilience regarding CISs.Despite this potential,few studies have systematically mapped the global research on NLP applications with respect to supporting various aspects of resilience of CISs.This paper contributes to the body of knowledge by presenting a review of current knowledge using the scientometric review technique.Using 231 bibliographic records from the Scopus and Web of Science core collections,we identify five key research areas where researchers have used NLP to support the resilience of CISs during natural disasters,including sentiment analysis,crisis informatics,data and knowledge visualization,disaster impacts,and content analysis.Furthermore,we map the utility of NLP in the identified research focus with respect to four aspects of resilience(i.e.,preparedness,absorption,recovery,and adaptability)and present various common techniques used and potential future research directions.This review highlights that NLP has the potential to become a supplementary data source to support the resilience of CISs.The results of this study serve as an introductory-level guide designed to help scholars and practitioners unlock the potential of NLP for strengthening the resilience of CISs against natural disasters.
文摘A terrible disaster struck our town last month,which brought heavy rain and strong winds all night.Many houses were damaged,and some even fell down,leaving hundreds of people homeless.However,what surprised us most was the great unity shown by everyone.Neighbors helped each other carry things,sharing food and warm clothes,while volunteers from other towns came to offer support.With everyone's efforts,we started the recovery work quickly,which made us believe that we could rebuild our home soon.
基金Supported by European Union’s Horizon 2020 Research and Innovation Program(739578)the Government of the Republic of Cyprus through the Deputy Ministry of Research,Innovation,and Digital Policy.
文摘Background Efficient disaster victim detection(DVD)in urban areas after natural disasters is crucial for minimizing losses.However,conventional search and rescue(SAR)methods often experience delays,which can hinder the timely detection of victims.SAR teams face various challenges,including limited access to debris and collapsed structures,safety risks due to unstable conditions,and disrupted communication networks.Methods In this paper,we present DeepSafe,a novel two-level deep learning approach for multilevel classification and object detection using a simulated disaster victim dataset.DeepSafe first employs YOLOv8 to classify images into victim and non-victim categories.Subsequently,Detectron2 is used to precisely locate and outline the victims.Results Experimental results demonstrate the promising performance of DeepSafe in both victim classification and detection.The model effectively identified and located victims under the challenging conditions presented in the dataset.Conclusion DeepSafe offers a practical tool for real-time disaster management and SAR operations,significantly improving conventional methods by reducing delays and enhancing victim detection accuracy in disaster-stricken urban areas.
基金supported by Kunming University of Science and Technology 2024 graduate course ideological and political case construction project(109920240103)Case construction project of AI-enabled postgraduate talent training in Kunming University of Technology,the Yunnan Fundamental Research Projects(202501AT070358 and 202401AU070142)+1 种基金the Scientific Research Fund Program of Yunnan Provincial Department of Education(2024J0078)Talent Cultivation Fund Project of Kunming University of Science and Technology(KKZ3202467041 and KKZ3202467045).
文摘In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform scheme,using earthquake disasters as an example.By integrating digital twin technology and artificial intelligence technology,a four-layer teaching framework consisting of data layer,model layer,platform layer,and intelligent layer is constructed.Progressive teaching segments of“cognition-simulation-decision-making”are designed to establish a comprehensive training path from seismic geological survey to disaster early warning and decision-making.This scheme shifts the traditional field practice venue to a safe virtual environment,promotes students’understanding of geological hazards from static fragments to dynamic processes,enhances their comprehensive decision-making ability in geological disaster prevention and mitigation,and provides theoretical support and practical guidance for cultivating interdisciplinary talents in geological hazard prevention.
文摘Based on the site investigation of a lightning stroke accident in a coal mine in Weiyuan County during a strong thunderstorm process on the night of August 10,2024,combined with the investigation data of the accident site,the causes of the lightning stroke accident were analyzed,and the corresponding rectification suggestions were put forward.
基金supported by the National Institute of Natural Hazards,Ministry of Emergency Management of China(2023-JBKY-57)the National Natural Science Foundation of China(42077259)。
文摘Rainfall-induced landslides are often highly destructive.Reviewing and analyzing the causes,processes,impacts,and deficiencies in emergency response is critical for improving disaster prevention and management.From the night of July 21 to the morning of July 22,2024,the Kencho Shacha Gozdi Village in Gezei Gofa,Southern Nations,Nationalities,and Peoples'Region,Ethiopia,suffered heavy rainfall that triggered two landslides.By July25,this event had claimed at least 257 lives.This study presents a detailed characterization of the landslides using multi-source data.By analyzing the landslide disaster process,this study summarizes key lessons and provides suggestions for preventing rainfall-induced geological hazards.The results indicate that rainfall has the greatest impact on the occurrence of landslides,while lithology and human activities have promoted and strengthened the landslide disaster.Despite the active disaster response in the local area,many problems were still exposed in the emergency response work.This analysis offers valuable insights for mitigating rainfall-induced geological hazards and enhancing emergency response capabilities.
基金supported by National Natural Science Foundation of Joint Fund for Changjiang River Water Science Research(U2340201)National Natural Science Foundation of China(52239006)Natural Science Foundation of Sichuan Province(2024NSFSC0005).
文摘Rainstorm-induced flood hazards in mountainous areas often result in complex cascading effects by interacting with environmental and human systems.However,traditional studies typically categorize them simply as clearwater floods or debris floods/flows,overlooking their evolutionary characteristics and compound impacts.This study presents a novel classification-based approach to investigate the formation and destructive mechanisms of a catastrophic composite disaster of flash flood and debris flow in the Dayao Gully(DYG)catchment in Hanyuan County,Sichuan Province,China.The event resulted in 14 fatalities,25 missing persons,and extensive infrastructure damage.Through comprehensive field investigations and multi-method analysis,three distinct disaster zones were identified with different magnitudes and impacts:(1)a clearwater flood disaster region with minimal geomorphological changes under a 5-year return period rainfall;(2)a debris flood disaster region triggered by a 30-year return period rainfall,leading to intense sediment transport with a total deposit volume of 52,511 m^(3);and(3)a sediment-induced flood disaster region characterized by significant riverbed aggradation and infrastructure destruction due to sediment-induced blockage effects.The results reveal that the cascading characteristics of this composite disaster were primarily driven by intense rainfall,enhanced sediment transport motivated by supracritical shear stress,and interactions with human infrastructure(e.g.,bridges and buildings).This classification-based approach provides a quantitative assessment of spatial characteristics of cascading flood disasters,offering new insights into their evolutionary characteristics and highlighting the necessity for targeted disaster mitigation strategies in sedimentprone mountainous regions.
基金jointly supported by the National Natural Science Foundation of China(Grant No.71803149 and No.72271142)the Ministry of Education Humanities and Social Science Research Youth Fund Project(Grant No.22YJCZH110 and No.22XJC630007)+4 种基金the China Postdoctoral Science Foundation(Grant No.2022M721904)the Natural Science Foundation of Shaanxi Province(Grant No.2023JCYB607 and No.2024JC-YBQN-0758)the Social Science Foundation of Shaanxi Province(Grant No.2023R290)the Innovation Capability Support Program of Shaanxi(Program No.2025KG-YBXM-113)the Scientific Research Program Funded by The research institute of new urbanization and human settlement in Shaanxi Province of XAUAT(Grant No.2023SCZH14)。
文摘To mitigate ecological degradation and improve human well-being,the Chinese Government has implemented the largest disaster resettlement program from 2011 to 2020.Ankang Prefecture,as one of the key regions in Shaanxi Province where this largescale resettlement program was performed,has provided a model for observing and evaluating the impact of the resettlement project,both within Shaanxi Province and across other regions of China.As a place where a number of protection and development policies converge,the economic and social development of Ankang is confronted with multiple constraints.Measuring livelihood resilience and further evaluating its impact in this region is key to the delivery and output of disaster resettlement programs to improve human well-being.We attempted to empirically examine the significance and impact of livelihood resilience in the context of disaster resettlement.This study expanded the social–ecological system resilience theory to examine rural household livelihood systems.We used the spatial vector method and 657 field research data collected in July 2021 from Ankang Prefecture to measure the livelihood resilience of rural households and elucidate both general and specific aspects.The sustainable household well-being(SHWB)of rural households was measured in five dimensions concerning the Millennium Ecosystem Assessment(MA)report.In econometrics,we used coarsened exact matching(CEM)to stratify the sample and reduce the computational bias.We then applied group regression to test the effect of livelihood resilience on SHWB empirically.The findings indicate that:(1)livelihood resilience is significantly and positively related to SHWB,and it is conducive to the level of well-being;(2)disaster resettlement has a negative effect on SHWB;(3)energy and medical facilities in resettlement infrastructure and services play active roles in SHWB.These results have policy implications for strengthening livelihood resilience and improving human well-being and important implications for livelihood development in rural areas across China and other developing nations.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.52374222 and 52104209)Basic and applied basic research project of Guangdong Province(Grant No.2024A1515010992).
文摘In deep underground resources mining engineering,rock mass exists in a three-dimensional environment of high stress,high fluid pressure,and high temperature.With the stress disturbance of mining engineering,it is easy to trigger high-energy coal-rock dynamic disasters,which severely restricts the safe and efficient development of deep resources.To investigate the non-linear fracture evolution process and key precursor laws of the coal-rock mass in the process of deep mining,an experimental study was conducted based on the true three-dimensional disturbance stress simulation experiment system.Results showed that the disturbance disaster process of the coal-rock mass has significant stages,and the corresponding acoustic emission(AE)signals also show regular changes.The necessary condition for the occurrence of coal-rock dynamic disasters is that the coupling of the maximum static stress and disturbance stress amplitude should exceed the damage threshold value,the increase ofσ_(2)can reduce the occurrence probability of disaster,and the influence of disturbance frequency on disaster intensity is transition.There are obvious stages in the damage accumulation process of stress-disturbed rock mass,including:damage weakening stage,no damage stage,and accelerated damage stage.The brief AE event calm period and the rapid decline of high average frequency value accompanied with the surge in the low-rise time/amplitude value before the disaster can be regarded as the key precursors of the rock dynamic disaster.The research results are crucial for understanding the disaster evolution of rock mass rupture disturbed by three-dimensional stress in deep engineering,and for the early warning and prevention of coal-rock dynamic disasters.
基金supported by the National Key Research and Development Program of China(Grant No.2023YFC3209800)the National Natural Science Foundation of China(Grant No.52279011).
文摘In the context of climate change,the acceleration of the global water cycle has led to the emergence of abrupt transitions between drought and flood events,presenting a new challenge for flood and drought disaster mitigation.Abrupt transitions between drought and flood refer to a phenomenon in which an extreme drought event quickly shifts to an extreme flood event,or vice versa,within a relatively short time span.This phenomenon disrupts the traditional spatiotemporal distribution patterns of water-related disasters,reflecting not only the extreme unevenness in the distribution of water resources but also the rapid alternation of the water cycle's evolution(He et al.,2016).Moreover,due to its suddenness,extremity,and complexity,it poses severe threats to human societies and ecosystems.Scientifically addressing abrupt transitions between drought and flood has thus become a new challenge in flood and drought disaster prevention.
文摘Flood disasters can have a serious impact on people's production and lives, and can cause hugelosses in lives and property security. Based on multi-source remote sensing data, this study establisheddecision tree classification rules through multi-source and multi-temporal feature fusion, classified groundobjects before the disaster and extracted flood information in the disaster area based on optical imagesduring the disaster, so as to achieve rapid acquisition of the disaster situation of each disaster bearing object.In the case of Qianliang Lake, which suffered from flooding in 2020, the results show that decision treeclassification algorithms based on multi-temporal features can effectively integrate multi-temporal and multispectralinformation to overcome the shortcomings of single-temporal image classification and achieveground-truth object classification.
文摘Flood disaster is a serious threat to urban security,and flood control and drainage planning is an important measure to ensure urban security.This paper takes planning guidance to empirical research as the main axis.On the basis of meteorological data and spatial data,through the analysis on the risk of disaster-causing factors of flood disasters,the sensitivity of disaster-pregnant environment,the vulnerability of disaster-bearing bodies and the ability of disaster prevention and mitigation,12 indicators are selected to construct a comprehensive evaluation index system for flood disaster risk.Handan City is taken as an example to study the spatial distribution characteristics of flood disaster risk.Based on AHP,weights are assigned to the evaluation indicators of flood disasters in the system,and the risk visualization is carried out in GIS.According to comprehensive risk assessment results,it could put forward corresponding disaster prevention planning strategy for defending flood disaster in Handan City.
基金supported by the Stanford Graduate Fellowship,the Center for Urban Science and Progress at New York Universitythe National Science Foundation under award number CMMI-2053014.The views and opinions expressed in this paper are those of the authors alone.
文摘Interdependencies between critical infrastructures and the economy amplify the effects of damage caused by disasters.The growing interest in impacts beyond physical damage and community resilience has spurred a surge in literature on economic modeling methodologies for estimating indirect economic impacts of disasters and the recovery of economic activity over time.In this review,we present a framework for categorizing modeling approaches that assess indirect economic impacts across natural hazards and anthropogenic disasters such as cyber attacks.We first conduct a comparative analysis of macroeconomic models,focusing on the approaches capturing sectoral interdependencies.These include the Leontief Input-Output(I/O)model,the Inoperability Input-Output Model(IIM),the Dynamic Inoperability Input-Output Model(DIIM),the Adaptive Regional Input-Output(ARIO)model,and the Computable General Equilibrium(CGE)model and its extensions.We evaluate their applicability to disaster scenarios based on input data availability,the compatibility of model assumptions,and output capabilities.We also reveal the functional relationships of input data and output metrics across economic modeling approaches for inter-sectoral impacts.Furthermore,we examine how the damage mechanisms posed by different types of disasters translate into model inputs and impact modeling processes.This synthesis provides guidance for researchers and practitioners in selecting and configuring models based on specific disaster scenarios.It also identifies the gaps in the literature,including the need for a deeper understanding of model performance reliability,key drivers of economic outcomes in different disaster contexts,and the disparities in modeling approach applications across various hazard types.
