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
This study was conducted to develop a comprehensive framework for empowering women who work in disaster risk governance in Sri Lanka.Women's empowerment in disaster risk governance has been identified as a strateg...This study was conducted to develop a comprehensive framework for empowering women who work in disaster risk governance in Sri Lanka.Women's empowerment in disaster risk governance has been identified as a strategy to reduce women's vulnerability to disasters and strengthen the disaster risk governance system towards building a resilient society.The study was conducted within the Sri Lankan disaster preparedness system because of the high disaster profile and the lower level of women's empowerment in the decision-making system.A case study strategy was employed for data collection.Three highly disaster-prone districts were selected and we conducted 26 semistructured case study interviews.In addition,14 expert interviews were conducted for better triangulating the results.Thematic analysis and cognitive mapping were adopted for data analysis and identifying strategies.Based on the study findings,a comprehensive framework was developed with four intervention mechanisms:individual,community,organizational,and legislative.Each group of interventions was divided into primary and secondary actions based on their priorities.The validated framework will guide policymakers and practitioners in supporting women's empowerment in governance with the ultimate objective of enhancing societal resilience.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.
Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing...Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing mechanisms of flash floods is critical for eff ective disaster risk reduction.However,current studies have not captured the comprehensive circumstance of flash floods that integrates environment,hazard,and exposure from the perspective of disaster systems theory.To address the gap,this study established a systematic framework for comprehensively evaluating flash floods disaster-causing mechanisms in ungauged mountainous micro-watersheds by integrating multi-source data,including remote sensing observations,meteorological station data,unmanned aerial vehicle measurements,and participatory geographic information system data,with hydrological-hydrodynamic and statistical models.The proposed framework consists of four interconnected steps:design storm estimation,flash flood process simulation,critical rainfall calculation,and disaster loss evaluation.Through a case study conducted in Qialegeer Village,Xinjiang,China,we demonstrated the framework's applicability by reconstructing flash flood scenarios,including the 2017 event as well as those of 10 and 20 years return periods.The results demonstrate that our framework robustly and systematically elucidates flash flood disaster process in the region with high reliability.Furthermore,it is adaptable to other ungauged mountainous micro-watersheds.This framework ultimately serves to enhance disaster risk mitigation and build resilience in vulnerable mountainous communities.展开更多
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
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
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
Typhoon disasters threaten sustainable development in southeastern China due to their complex spatiotemporal chaining and compounding effects.However,characteristics of risk and exposure of compound typhoon disaster c...Typhoon disasters threaten sustainable development in southeastern China due to their complex spatiotemporal chaining and compounding effects.However,characteristics of risk and exposure of compound typhoon disaster chains remain unclear,particularly across geographic scales.This study proposed a multi-scale risk assessment framework to analyze compound typhoon disaster chains,using Fujian Province—a high-risk coastal region in southeastern China—as a case study.We quantified risks and exposures of four disaster chains:typhoon-rainstorm-urban waterlogging(TRU),typhoon-rainstormflood(TRF),typhoon-rainstorm-landslide(TRL),and typhoon-strong wind-storm surge(TWS),across nested scales(grid,county,city,and basin).Key findings include:(1)Pronounced spatial heterogeneity exists in Fujian Province,with compound risk hotspots dominated by TRU(216.71 km2),TRF(872.43 km2),and TWS(263.69 km2)high-risk areas in eastern coastal areas,while inland mountainous regions are primarily affected by the TRL single chain(24,993 km2,20.4%of the total area of the province);(2)Approximately one-third of the provincial population(5.69 million)and GDP(RMB 552 billion yuan)are exposed to the high-risk zones of the TRF chain,whereas the TRU chain results in twice the exposure density of TRF,forming localized hotspots;(3)High-risk areas display dual patterns of single chain dominance and compound chain aggregation,with compound chain exposure densities 38–58 times higher(at population density 15,900 persons/km2)than single chain exposure density.Priority should be given to managing cascading risks of compound chains like TRU-TRF,alongside targeted interventions in multi-disaster hubs such as Fuzhou City and Jinjiang City.The findings advance our understanding of typhoon disaster risk compounding,informing targeted mitigation strategies and providing a framework for multi-hazard cascade analysis.展开更多
This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing ...This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing antifragility in disaster risk reduction contexts and delineate ethical,systemic,and learning-based implications for future resilience.Together,these elements reframe disaster risk governance as dynamic,adaptive,and self-reinforcing amid compounding climate risks.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
Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This...Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This study conducted a comparative analysis of institutional vulnerability at the municipal level in two hazard-prone regions:Teziutlán,Mexico,and Tola,Nicaragua.It employed comparative case study methods alongside structured surveys administered to local DRR actors.An integrated analytical framework was used,synthesizing the Pressure and Release model,the Forensic Investigations of Disasters approach,the MOVE framework,and the Institutional Analysis and Development model.The research identified key institutional vulnerabilities,including preparedness,coordination,information access,infrastructure,legal enforcement,climate integration,and informal governance.The findings indicate that the deficiencies within these institutions are not merely technical but are significantly influenced by systemic disparities in power,resource allocation,and political stability.Both municipalities exhibit notable gaps between formal DRR mandates and their operational implementation,reflecting a structural disjunction between institutions articulated in policy(institutions-in-form)and those in practice(institutions-inuse).The study concluded that eff ectively addressing institutional vulnerability necessitates transitioning from compliancedriven reforms towards integrated strategies that foster institutional learning,enhance cross-sectoral coordination,promote climate adaptation,and acknowledge informal and community-based governance structures.These findings off er policyrelevant insights for national and regional policymakers seeking to strengthen the institutional foundations of local DRR implementation within Latin America and comparable decentralized governance contexts.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
From 10 to 15 April 2025,China experienced a rare persistent extreme wind-dust compound disaster that swept from north to south.Based on observational data,historical disaster records,and situations of various exposed...From 10 to 15 April 2025,China experienced a rare persistent extreme wind-dust compound disaster that swept from north to south.Based on observational data,historical disaster records,and situations of various exposed elements,this study analyzed the formation mechanisms and evolution of this extreme event and conducted a rapid assessment of the associated loss and damage.The results indicate that the direct cause of this extreme wind-dust compound disaster was a strong cold vortex system generated in Mongolia,which moved eastward and southward,combined with the amplification effects of topography and urban structures,and the downward transmission of momentum from higher troposphere.The analysis revealed that approximately 697.47 million people were exposed to strong winds,while about 1,374.54 million people were exposed to high concentrations of PM10.The strong winds also caused varying degrees of damage to buildings,transportation networks,agricultural greenhouses,and forests.Based on vulnerability curves for wind-related loss and damage,it was estimated that the number of victims affected by this extreme wind-dust compound disaster ranged from 0.209 to 1.044 million,with casualties between 5 and 13 individuals.The number of damaged buildings was estimated to be between 2115 and 4607,and the area of affected crops was between 229 and 783 km2.The direct economic losses could reach as high as RMB 0.076–3.501 billion yuan.This study revealed the causes of this extreme wind-dust compound disaster and quantified the disaster loss and impact,providing new insights for the prevention of associated 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
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This study was conducted to develop a comprehensive framework for empowering women who work in disaster risk governance in Sri Lanka.Women's empowerment in disaster risk governance has been identified as a strategy to reduce women's vulnerability to disasters and strengthen the disaster risk governance system towards building a resilient society.The study was conducted within the Sri Lankan disaster preparedness system because of the high disaster profile and the lower level of women's empowerment in the decision-making system.A case study strategy was employed for data collection.Three highly disaster-prone districts were selected and we conducted 26 semistructured case study interviews.In addition,14 expert interviews were conducted for better triangulating the results.Thematic analysis and cognitive mapping were adopted for data analysis and identifying strategies.Based on the study findings,a comprehensive framework was developed with four intervention mechanisms:individual,community,organizational,and legislative.Each group of interventions was divided into primary and secondary actions based on their priorities.The validated framework will guide policymakers and practitioners in supporting women's empowerment in governance with the ultimate objective of enhancing societal resilience.
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funded by the Third Xinjiang Scientific Expedition Program(Grant No.2022xjkk0601)National Natural Science Foundation of China(Grant Nos.42471085,U22B2011)Natural Science Foundation of Hubei Province(2023AFB823)。
文摘Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing mechanisms of flash floods is critical for eff ective disaster risk reduction.However,current studies have not captured the comprehensive circumstance of flash floods that integrates environment,hazard,and exposure from the perspective of disaster systems theory.To address the gap,this study established a systematic framework for comprehensively evaluating flash floods disaster-causing mechanisms in ungauged mountainous micro-watersheds by integrating multi-source data,including remote sensing observations,meteorological station data,unmanned aerial vehicle measurements,and participatory geographic information system data,with hydrological-hydrodynamic and statistical models.The proposed framework consists of four interconnected steps:design storm estimation,flash flood process simulation,critical rainfall calculation,and disaster loss evaluation.Through a case study conducted in Qialegeer Village,Xinjiang,China,we demonstrated the framework's applicability by reconstructing flash flood scenarios,including the 2017 event as well as those of 10 and 20 years return periods.The results demonstrate that our framework robustly and systematically elucidates flash flood disaster process in the region with high reliability.Furthermore,it is adaptable to other ungauged mountainous micro-watersheds.This framework ultimately serves to enhance disaster risk mitigation and build resilience in vulnerable mountainous communities.
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.
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funded by the National Natural Science Foundation of China(Grant No.42271030)Fujian Provincial Funds for Distinguished Young Scientists(Grant No.2022J06018)“Young Eagle Plan”Top Talents of Fujian Province。
文摘Typhoon disasters threaten sustainable development in southeastern China due to their complex spatiotemporal chaining and compounding effects.However,characteristics of risk and exposure of compound typhoon disaster chains remain unclear,particularly across geographic scales.This study proposed a multi-scale risk assessment framework to analyze compound typhoon disaster chains,using Fujian Province—a high-risk coastal region in southeastern China—as a case study.We quantified risks and exposures of four disaster chains:typhoon-rainstorm-urban waterlogging(TRU),typhoon-rainstormflood(TRF),typhoon-rainstorm-landslide(TRL),and typhoon-strong wind-storm surge(TWS),across nested scales(grid,county,city,and basin).Key findings include:(1)Pronounced spatial heterogeneity exists in Fujian Province,with compound risk hotspots dominated by TRU(216.71 km2),TRF(872.43 km2),and TWS(263.69 km2)high-risk areas in eastern coastal areas,while inland mountainous regions are primarily affected by the TRL single chain(24,993 km2,20.4%of the total area of the province);(2)Approximately one-third of the provincial population(5.69 million)and GDP(RMB 552 billion yuan)are exposed to the high-risk zones of the TRF chain,whereas the TRU chain results in twice the exposure density of TRF,forming localized hotspots;(3)High-risk areas display dual patterns of single chain dominance and compound chain aggregation,with compound chain exposure densities 38–58 times higher(at population density 15,900 persons/km2)than single chain exposure density.Priority should be given to managing cascading risks of compound chains like TRU-TRF,alongside targeted interventions in multi-disaster hubs such as Fuzhou City and Jinjiang City.The findings advance our understanding of typhoon disaster risk compounding,informing targeted mitigation strategies and providing a framework for multi-hazard cascade analysis.
文摘This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing antifragility in disaster risk reduction contexts and delineate ethical,systemic,and learning-based implications for future resilience.Together,these elements reframe disaster risk governance as dynamic,adaptive,and self-reinforcing amid compounding climate risks.
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the support of the National Council of Humanities,Sciences,and Technologies(CONAHCYT)for awarding a student fellowship to Gema Velásquez-EspinozaDGAPA-UNAM for the financial support provided through Project PAPIIT IN300823。
文摘Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This study conducted a comparative analysis of institutional vulnerability at the municipal level in two hazard-prone regions:Teziutlán,Mexico,and Tola,Nicaragua.It employed comparative case study methods alongside structured surveys administered to local DRR actors.An integrated analytical framework was used,synthesizing the Pressure and Release model,the Forensic Investigations of Disasters approach,the MOVE framework,and the Institutional Analysis and Development model.The research identified key institutional vulnerabilities,including preparedness,coordination,information access,infrastructure,legal enforcement,climate integration,and informal governance.The findings indicate that the deficiencies within these institutions are not merely technical but are significantly influenced by systemic disparities in power,resource allocation,and political stability.Both municipalities exhibit notable gaps between formal DRR mandates and their operational implementation,reflecting a structural disjunction between institutions articulated in policy(institutions-in-form)and those in practice(institutions-inuse).The study concluded that eff ectively addressing institutional vulnerability necessitates transitioning from compliancedriven reforms towards integrated strategies that foster institutional learning,enhance cross-sectoral coordination,promote climate adaptation,and acknowledge informal and community-based governance structures.These findings off er policyrelevant insights for national and regional policymakers seeking to strengthen the institutional foundations of local DRR implementation within Latin America and comparable decentralized governance contexts.
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 Natural Science Foundation of China(Grant No.42330502)the Central Government Guided Local Science and Technology Development Fund of Qinghai Province—Science and Technology Innovation Base Construction Project(Grant No.2025ZY017)。
文摘From 10 to 15 April 2025,China experienced a rare persistent extreme wind-dust compound disaster that swept from north to south.Based on observational data,historical disaster records,and situations of various exposed elements,this study analyzed the formation mechanisms and evolution of this extreme event and conducted a rapid assessment of the associated loss and damage.The results indicate that the direct cause of this extreme wind-dust compound disaster was a strong cold vortex system generated in Mongolia,which moved eastward and southward,combined with the amplification effects of topography and urban structures,and the downward transmission of momentum from higher troposphere.The analysis revealed that approximately 697.47 million people were exposed to strong winds,while about 1,374.54 million people were exposed to high concentrations of PM10.The strong winds also caused varying degrees of damage to buildings,transportation networks,agricultural greenhouses,and forests.Based on vulnerability curves for wind-related loss and damage,it was estimated that the number of victims affected by this extreme wind-dust compound disaster ranged from 0.209 to 1.044 million,with casualties between 5 and 13 individuals.The number of damaged buildings was estimated to be between 2115 and 4607,and the area of affected crops was between 229 and 783 km2.The direct economic losses could reach as high as RMB 0.076–3.501 billion yuan.This study revealed the causes of this extreme wind-dust compound disaster and quantified the disaster loss and impact,providing new insights for the prevention of associated 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.
