The historicity of China's first state-level government(the Xia Dynasty),during which a Great Flood is claimed to have swept through the core of northern China,remains a well-known yet unresolved issue.Archaeologi...The historicity of China's first state-level government(the Xia Dynasty),during which a Great Flood is claimed to have swept through the core of northern China,remains a well-known yet unresolved issue.Archaeologists hypothesize a connection between the legendary events of the Xia Dynasty and archaeological discoveries in the Central China Plains cultural area,encompassing late Neolithic and Bronze Age cultures such as Henan's Longshan,Xinzhai,Erlitou,and Erligang.The authenticity of these speculations has been challenging to substantiate due to the lack of systematic evidence for the Great Flood in the middle to lower Yellow River(YR)Basin.In this paper,we present high-resolution hydrological environmental proxy data,sedimentological remains,and paleontological evidence from the central North China Plain.Our findings provide isochronous evidence of the termination of a hundred-year-long flood period dated to approximately 2080±216 BC,consistent with the observations from lower YR flood plain and marginal marine sediments.These findings both spatially and temporally overlap with the framework of the Great Flood described in the Chinese classics.The alignment between the geoscientific and archaeological evidence and the information in the Chinese classics provides robust confirmation that the Great Flood occurred in the middle to lower YR region during the late Longshan era.展开更多
MIKE Flood模型在城市洪涝分析管理中已得到广泛应用,软件模块丰富,功能齐全,对城市洪涝风险分析提供了理论依据和技术支持。文章主要根据某建设项目所在排水区域的地形、排水管网、周边河道等基础资料,利用MIKE FLOOD软件进行建模,耦...MIKE Flood模型在城市洪涝分析管理中已得到广泛应用,软件模块丰富,功能齐全,对城市洪涝风险分析提供了理论依据和技术支持。文章主要根据某建设项目所在排水区域的地形、排水管网、周边河道等基础资料,利用MIKE FLOOD软件进行建模,耦合计算区域设计工况下洪涝水位、淹没水深、淹没范围,并提出相应工作建议,为城市防灾减灾工作提供支持。展开更多
Flooding remains one of the most destructive natural disasters,posing significant risks to both human lives and infrastructure.In India,where a large area is susceptible to flood hazards,the importance of accurate flo...Flooding remains one of the most destructive natural disasters,posing significant risks to both human lives and infrastructure.In India,where a large area is susceptible to flood hazards,the importance of accurate flood frequency analysis(FFA)and flood susceptibility mapping cannot be overstated.This study focuses on the Haora River basin in Tripura,a region prone to frequent flooding due to a combination of natural and anthropogenic factors.This study evaluates the suitability of the Log-Pearson Type Ⅲ(LP-Ⅲ)and Gumbel Extreme Value-1(EV-1)distributions for estimating peak discharges and delineates floodsusceptible zones in the Haora River basin,Tripura.Using 40 years of peak discharge data(1984-2023),the LP-Ⅲ distribution was identified as the most appropriate model based on goodness-of-fit tests.Flood susceptibility mapping,integrating 16 thematic layers through the Analytical Hierarchy Process,identified 8%,64%,and 26%of the area as high,moderate,and low susceptibility zones,respectively,with a model success rate of 0.81.The findings highlight the need for improved flood management strategies,such as enhancing river capacity and constructing flood spill channels.These insights are critical for designing targeted flood mitigation measures in the Haora basin and other flood-prone regions.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
An effective warning system for flash floods along the upper River des Peres, a small urban stream in eastern Missouri, USA, is based on three enterprise-level, automated rain gauges.Because floods in this 25 km~2 bas...An effective warning system for flash floods along the upper River des Peres, a small urban stream in eastern Missouri, USA, is based on three enterprise-level, automated rain gauges.Because floods in this 25 km~2 basin develop rapidly and are commonly caused by small but intense thunderstorm cells, these rain gauges were necessarily deployed within the watershed, and immediate telemetry and processing of rainfall delivered in 5-minute intervals is required. Available data show that damaging floods in this area occur only 30 min to 3 h following the delivery of 38 mm of rainfall or more in a single hour. Water levels along this stream can rise more than 3 m/h. Since full deployment in Nov. 2021, our system has successfully predicted 3 significant floods with one false positive.展开更多
Nature-based solutions(NBS)involve the sustainable maintenance,management,and restoration of natural or modified ecosystems.Flooding is a major problem in Phnom Penh,Cambodia,and has significant social and economic ra...Nature-based solutions(NBS)involve the sustainable maintenance,management,and restoration of natural or modified ecosystems.Flooding is a major problem in Phnom Penh,Cambodia,and has significant social and economic ramifications.This study tries to suggest creative solutions that support human welfare and biodiversity while simultaneously resolving social problems by adopting NBS.An online survey using convenience and snowball sampling was conducted to assess the openness of Phnom Penh residents to adopting NBS for flood mitigation in their homes or buildings.The survey investigated perceptions of NBS effectiveness based on previous knowledge and flood risk perception.Results revealed a strong correlation between perceived efficacy and willingness to adopt NBS.Specifically,flood risk perception and prior knowledge significantly influenced the perceived effectiveness of NBS.Key findings indicate that high installation and maintenance costs,lack of awareness,limited space,cultural factors,and perceived ineffectiveness are primary barriers to NBS adoption.Additionally,specific regional factors contribute to reluctance in certain areas of Phnom Penh.To overcome these barriers,the study recommends that the Cambodian government and other stakeholders invest in public education campaigns to raise awareness about the benefits of NBS.Financial incentives and subsidies should be provided to reduce the economic burden on residents.Furthermore,integrating NBS into urban planning and infrastructure development is crucial to enhance community resilience against floods.展开更多
Among natural disasters,flash floods are the most destructive events,causing signif-icant damage to the economy and posing a serious threat to human life and property.Comprehensive risk assessment of these sudden floo...Among natural disasters,flash floods are the most destructive events,causing signif-icant damage to the economy and posing a serious threat to human life and property.Comprehensive risk assessment of these sudden floods is a key strategy to mitigate their impact.Accurate analysis of flash flood hazards can greatly enhance prevention efforts and inform critical decision-making processes,ultimately improving our ability to protect communities from these fast-onset disasters.This study analyzed the driving forces of flash flood disaster-causing factors in Heilongjiang Province.Meanwhile,nine different categories of variables affecting the occurrence of flash floods were selected,and the degree of influence of each driving factor on flash floods was quantitatively analyzed,and the driving force analysis of the driving factors of flash floods in Hei-longjiang Province was carried out by using the geographic probe model.This paper employs an uncertainty approach,utilizing a statistical-based interval weight deter-mination technique for evaluation indices and a two-dimensional information-based interval number sorting method.These methodologies are combined to construct a comprehensive flash flood risk assessment model.On this basis,the model was implemented in six regions within China's Heilongjiang province to evaluate and prioritize flash flood risks.The resulting risk ranking for these areas was as follows:Bayan≻Shuangcheng≻Boli≻Suibin≻Hailun≻Yian.The findings demonstrate that the interval number-based evaluation method effectively handles uncertainty,providing a more reliable risk grading system.This approach,by leveraging modern scientific advances and risk quantification techniques,is crucial for improving disaster management and mitigating flash flood impacts.展开更多
Investing in disaster risk reduction is crucial for minimizing the impacts of disasters.However,little is known about the factors that influence changes in investment levels over time.This study aims to identify the k...Investing in disaster risk reduction is crucial for minimizing the impacts of disasters.However,little is known about the factors that influence changes in investment levels over time.This study aims to identify the key socio-economic drivers behind increases and decreases in flood protection investment in People’s Republic of China(PRC).Such information is crucial for policy makers to justify flood investments.By analyzing data on flood protection expenditures,economic losses from floods,and other relevant indicators from 1980 to 2020,the study evaluates the relationship between investment and disaster impacts through the lens of the flood investment cycle model.It was found that the country succeeded in reducing flood damage because of increasing investment in flood protection.The results indicate that changes in PRC’s flood protection investment have been driven by three major factors:the occurrence of major disasters,the fiscal situation,and shifts in government policies.Investment tended to increase following large-scale events,such as the 1998 Yangtze River Basin flood and the 2008 Wenchuan earthquake,which prompted policy changes and renewed focus on DRR measures.Fiscal constraints limited investment in the 1990s,but reforms and stimulus measures improved the financial situation,enabling increased spending on flood protection.PRC’s experience in steadily reducing flood damage through sustained investment and policy commitment offers valuable lessons for other developing countries facing similar challenges.展开更多
The negative impacts of natural hazards on communities at all scales have been increasing.Floods comprise one such natural hazard that has emerged as one of the most destructive in the US and worldwide.While a lot of ...The negative impacts of natural hazards on communities at all scales have been increasing.Floods comprise one such natural hazard that has emerged as one of the most destructive in the US and worldwide.While a lot of damage is estimated in terms of the cost of rebuilding infrastructure and direct loss of economy,the negative impacts of such disruptions go beyond the physical infrastructure.The impact on(and of)the social and institutional framework is rarely examined in conjunction with the physical and technical aspects.This paper examines flood vulnerability and risk of a community at an intersection of social,ecological,technical,and intuitional perspectives,and presents a framework for a holistic flood vulnerability and risk assessment that has a strong foundation in all four aspects of a resilient community.The study builds on the existing risk,vulnerability,and hazard assessment approaches,and refines them with a holistic perspective.The study uses a mixed method approach with qualitative and quantitative methodologies to assess flood occurrence probabilities,vulnerability,and risk from the social,ecological,technical,and institutional perspectives.A case study of the City of Atlanta is conducted using the framework to assess the overall vulnerability and risk of the city.The results of this analysis show that the regions that have the highest probability of flood hazard occurrence also appear to have the highest social,ecological,and technical vulnerabilities in the Atlanta area.While the results are intuitive,the applications support a focus on holistic resilience building across these four criteria.This study is potentially useful to practitioners,researchers,government agencies,and community organizations working to mitigate flood risk particularly as this risk continues to evolve with the changing climate.展开更多
In the early hours of August 18 in 2022,a mountain flood disaster occurred in Datong Hui and Tu Autonomous County,Xining City,Qinghai Province,resulting in 31 deaths.This typical incident of multiple casualties result...In the early hours of August 18 in 2022,a mountain flood disaster occurred in Datong Hui and Tu Autonomous County,Xining City,Qinghai Province,resulting in 31 deaths.This typical incident of multiple casualties resulting from a mountain flood disaster caused by heavy precipitation.In this paper,the mountain flood disaster was analyzed from three aspects,the distribution of the observation station network,assessment of minute-level precipitation,and quantitative precipitation estimated by Xining radar data during August 17-18,2022.It aims to identify the critical gap in comprehensive monitoring systems,and explore effective monitoring methods and estimation algorithms of minute-level quantitative precipitation.Moreover,subsequent defense countermeasures were proposed.These findings offer significant guidance for enhancing meteorological disaster prevention capabilities,strengthening the first line of defense in disaster prevention and mitigation,and supporting evidence-based decision-making for local governments and flood control departments.展开更多
The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentra...The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentrate between April to June and September to November each year.However,construction progress tends to slow down during July and August due to increased rainfall associated with the flood season.The impact of the flood season on construction projects is primarily reflected in areas such as civil works,machinery and equipment,and temporary power supply.By establishing a dual-control emergency management system for the flood season,construction enterprises can enhance their emergency response capabilities,effectively reduce management challenges,and improve the overall efficiency of emergency handling.展开更多
Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with...Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with an elevation of 666-669 meters above sea level,making it particularly prone to recurrent flooding.The main issue is the absence of an integrated disaster management system.This research aims to identify the drainage system’s asset life cycle(planning,implementation,and operation&maintenance)and assess flood risk in Gedebage.The risk assessment was conducted using questionnaires to evaluate the likelihood and potential impact of risks.In response to major risks,appropriate mitigation strategies were developed.Mitigation efforts included both structural and non-structural measures.The structural mitigation design involved selecting technological alternatives using the Analytical Hierarchy Process(AHP),a decision-making tool that helps compare multiple criteria and alternatives in a structured way.The results indicate that 27% of the assessed risks were unacceptable,42% undesirable,and 31% acceptable.Flood risk in Gedebage can be managed through structural actions,such as drainage revitalization using a closed system,and non-structural strategies,including human-centric,administrative,and cultural approaches.Based on AHP analysis,the most effective technology was a closed drainage system and porous paving blocks.展开更多
Floods are among the most severe and frequent natural disasters,impacting numerous countries worldwide.This study investigates flood mapping methodologies utilizing Google Earth Engine(GEE)with Sentinel-1,Sentinel-2,a...Floods are among the most severe and frequent natural disasters,impacting numerous countries worldwide.This study investigates flood mapping methodologies utilizing Google Earth Engine(GEE)with Sentinel-1,Sentinel-2,and Landsat data,focusing on the January 2021 Tetouan flood in Morocco.Three approaches were assessed:Sentinel-1 thresholding and NDWI(Normalized Difference Water Index)methods applied to Sentinel-2 and Landsat imagery.The analysis revealed flooded areas of 891 hectares(Sentinel-1),814 hectares(Sentinel-2),and 1237 hectares(Landsat),validated against ArcGIS(Geographic Information System)results estimating 900 hectares.Sentinel-1 demonstrated superior accuracy with only a 9-hectare deviation and proved effective under cloudy conditions.Sentinel-2 provided a balance between spatial resolution and error levels,with moderate commission and omission errors.Landsat detected the largest flood extent but exhibited a slight overestimation.The study emphasizes the advantages of GEE’s cloud-based platform,which significantly reduced processing time,facilitating rapid flood extent mapping.This scalability and efficiency make GEE an invaluable tool for disaster management.The results underline the potential of these methodologies for accurate and timely flood monitoring,enabling informed decision-making in resilience planning and emergency response.Such advancements are critical for mitigating the impacts of flooding and supporting sustainable disaster management strategies in vulnerable regions worldwide.展开更多
Soil microorganisms and labile soil organic carbon(SOC)fractions are essential factors affecting greenhouse gas(GHG)emissions in paddy fields.However,the effects of labile SOC fractions and microorganisms on GHG emiss...Soil microorganisms and labile soil organic carbon(SOC)fractions are essential factors affecting greenhouse gas(GHG)emissions in paddy fields.However,the effects of labile SOC fractions and microorganisms on GHG emissions from flooding to drying after organic fertilizer replacing for chemical fertilizer remain unclear.Here,a long-term experiment was conducted with four treatments:chemical fertilization only(control),organic fertilizer substituting 25%of chemical N fertilizer(NM1),50%of chemical N fertilizer(NM2),and NM2combined with crop straw(NMS).GHG emissions were monitored,and soil samples were collected to determine labile SOC fractions and microorganisms.Results revealed the GHG emissions in the NM2 significantly increased by 196.88%from flooding to drying,mainly due to the higher CO_(2) emissions.The GHG emissions per kg of C input in NMS was the lowest with the value of 9.17.From flooding to drying,organic fertilizer application significantly increased the readily oxidizable organic carbon(ROC)contents and C lability;the NM2 and NMS dramatically increased the SOC and non-readily oxidizable organic carbon(NROC).The bacterial communities showed significant differences among different treatments in the flooding,while the significant difference was only found between the NMS and other treatments in the drying.From flooding to drying,changing soil moisture conditions causes C fractions and microbial communities to jointly affect carbon emissions,and the NMS promoted carbon sequestration and mitigated GHG emissions.Our findings highlight the importance of the labile SOC fractions and microorganisms linked to GHG emissions in paddy fields.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
基金Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDB26000000National Natural Science Foundation of China,No.41888101,No.42072209Geological Survey Projects of China,No.DD20189629,No.DD20190370。
文摘The historicity of China's first state-level government(the Xia Dynasty),during which a Great Flood is claimed to have swept through the core of northern China,remains a well-known yet unresolved issue.Archaeologists hypothesize a connection between the legendary events of the Xia Dynasty and archaeological discoveries in the Central China Plains cultural area,encompassing late Neolithic and Bronze Age cultures such as Henan's Longshan,Xinzhai,Erlitou,and Erligang.The authenticity of these speculations has been challenging to substantiate due to the lack of systematic evidence for the Great Flood in the middle to lower Yellow River(YR)Basin.In this paper,we present high-resolution hydrological environmental proxy data,sedimentological remains,and paleontological evidence from the central North China Plain.Our findings provide isochronous evidence of the termination of a hundred-year-long flood period dated to approximately 2080±216 BC,consistent with the observations from lower YR flood plain and marginal marine sediments.These findings both spatially and temporally overlap with the framework of the Great Flood described in the Chinese classics.The alignment between the geoscientific and archaeological evidence and the information in the Chinese classics provides robust confirmation that the Great Flood occurred in the middle to lower YR region during the late Longshan era.
文摘Flooding remains one of the most destructive natural disasters,posing significant risks to both human lives and infrastructure.In India,where a large area is susceptible to flood hazards,the importance of accurate flood frequency analysis(FFA)and flood susceptibility mapping cannot be overstated.This study focuses on the Haora River basin in Tripura,a region prone to frequent flooding due to a combination of natural and anthropogenic factors.This study evaluates the suitability of the Log-Pearson Type Ⅲ(LP-Ⅲ)and Gumbel Extreme Value-1(EV-1)distributions for estimating peak discharges and delineates floodsusceptible zones in the Haora River basin,Tripura.Using 40 years of peak discharge data(1984-2023),the LP-Ⅲ distribution was identified as the most appropriate model based on goodness-of-fit tests.Flood susceptibility mapping,integrating 16 thematic layers through the Analytical Hierarchy Process,identified 8%,64%,and 26%of the area as high,moderate,and low susceptibility zones,respectively,with a model success rate of 0.81.The findings highlight the need for improved flood management strategies,such as enhancing river capacity and constructing flood spill channels.These insights are critical for designing targeted flood mitigation measures in the Haora basin and other flood-prone regions.
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An effective warning system for flash floods along the upper River des Peres, a small urban stream in eastern Missouri, USA, is based on three enterprise-level, automated rain gauges.Because floods in this 25 km~2 basin develop rapidly and are commonly caused by small but intense thunderstorm cells, these rain gauges were necessarily deployed within the watershed, and immediate telemetry and processing of rainfall delivered in 5-minute intervals is required. Available data show that damaging floods in this area occur only 30 min to 3 h following the delivery of 38 mm of rainfall or more in a single hour. Water levels along this stream can rise more than 3 m/h. Since full deployment in Nov. 2021, our system has successfully predicted 3 significant floods with one false positive.
文摘Nature-based solutions(NBS)involve the sustainable maintenance,management,and restoration of natural or modified ecosystems.Flooding is a major problem in Phnom Penh,Cambodia,and has significant social and economic ramifications.This study tries to suggest creative solutions that support human welfare and biodiversity while simultaneously resolving social problems by adopting NBS.An online survey using convenience and snowball sampling was conducted to assess the openness of Phnom Penh residents to adopting NBS for flood mitigation in their homes or buildings.The survey investigated perceptions of NBS effectiveness based on previous knowledge and flood risk perception.Results revealed a strong correlation between perceived efficacy and willingness to adopt NBS.Specifically,flood risk perception and prior knowledge significantly influenced the perceived effectiveness of NBS.Key findings indicate that high installation and maintenance costs,lack of awareness,limited space,cultural factors,and perceived ineffectiveness are primary barriers to NBS adoption.Additionally,specific regional factors contribute to reluctance in certain areas of Phnom Penh.To overcome these barriers,the study recommends that the Cambodian government and other stakeholders invest in public education campaigns to raise awareness about the benefits of NBS.Financial incentives and subsidies should be provided to reduce the economic burden on residents.Furthermore,integrating NBS into urban planning and infrastructure development is crucial to enhance community resilience against floods.
基金Basic Scientific Research Expense Project of IWHR-Extreme rainstorm development trends and prediction techniques,Grant/Award Number:JZ0145B142024National Natural Science Foundation of China,Grant/Award Number:42271095。
文摘Among natural disasters,flash floods are the most destructive events,causing signif-icant damage to the economy and posing a serious threat to human life and property.Comprehensive risk assessment of these sudden floods is a key strategy to mitigate their impact.Accurate analysis of flash flood hazards can greatly enhance prevention efforts and inform critical decision-making processes,ultimately improving our ability to protect communities from these fast-onset disasters.This study analyzed the driving forces of flash flood disaster-causing factors in Heilongjiang Province.Meanwhile,nine different categories of variables affecting the occurrence of flash floods were selected,and the degree of influence of each driving factor on flash floods was quantitatively analyzed,and the driving force analysis of the driving factors of flash floods in Hei-longjiang Province was carried out by using the geographic probe model.This paper employs an uncertainty approach,utilizing a statistical-based interval weight deter-mination technique for evaluation indices and a two-dimensional information-based interval number sorting method.These methodologies are combined to construct a comprehensive flash flood risk assessment model.On this basis,the model was implemented in six regions within China's Heilongjiang province to evaluate and prioritize flash flood risks.The resulting risk ranking for these areas was as follows:Bayan≻Shuangcheng≻Boli≻Suibin≻Hailun≻Yian.The findings demonstrate that the interval number-based evaluation method effectively handles uncertainty,providing a more reliable risk grading system.This approach,by leveraging modern scientific advances and risk quantification techniques,is crucial for improving disaster management and mitigating flash flood impacts.
文摘Investing in disaster risk reduction is crucial for minimizing the impacts of disasters.However,little is known about the factors that influence changes in investment levels over time.This study aims to identify the key socio-economic drivers behind increases and decreases in flood protection investment in People’s Republic of China(PRC).Such information is crucial for policy makers to justify flood investments.By analyzing data on flood protection expenditures,economic losses from floods,and other relevant indicators from 1980 to 2020,the study evaluates the relationship between investment and disaster impacts through the lens of the flood investment cycle model.It was found that the country succeeded in reducing flood damage because of increasing investment in flood protection.The results indicate that changes in PRC’s flood protection investment have been driven by three major factors:the occurrence of major disasters,the fiscal situation,and shifts in government policies.Investment tended to increase following large-scale events,such as the 1998 Yangtze River Basin flood and the 2008 Wenchuan earthquake,which prompted policy changes and renewed focus on DRR measures.Fiscal constraints limited investment in the 1990s,but reforms and stimulus measures improved the financial situation,enabling increased spending on flood protection.PRC’s experience in steadily reducing flood damage through sustained investment and policy commitment offers valuable lessons for other developing countries facing similar challenges.
文摘The negative impacts of natural hazards on communities at all scales have been increasing.Floods comprise one such natural hazard that has emerged as one of the most destructive in the US and worldwide.While a lot of damage is estimated in terms of the cost of rebuilding infrastructure and direct loss of economy,the negative impacts of such disruptions go beyond the physical infrastructure.The impact on(and of)the social and institutional framework is rarely examined in conjunction with the physical and technical aspects.This paper examines flood vulnerability and risk of a community at an intersection of social,ecological,technical,and intuitional perspectives,and presents a framework for a holistic flood vulnerability and risk assessment that has a strong foundation in all four aspects of a resilient community.The study builds on the existing risk,vulnerability,and hazard assessment approaches,and refines them with a holistic perspective.The study uses a mixed method approach with qualitative and quantitative methodologies to assess flood occurrence probabilities,vulnerability,and risk from the social,ecological,technical,and institutional perspectives.A case study of the City of Atlanta is conducted using the framework to assess the overall vulnerability and risk of the city.The results of this analysis show that the regions that have the highest probability of flood hazard occurrence also appear to have the highest social,ecological,and technical vulnerabilities in the Atlanta area.While the results are intuitive,the applications support a focus on holistic resilience building across these four criteria.This study is potentially useful to practitioners,researchers,government agencies,and community organizations working to mitigate flood risk particularly as this risk continues to evolve with the changing climate.
基金the Key Research and Development and Transformation Plan Project of Science and Technology Department of Qinghai Province in 2023(2023-SF-111).
文摘In the early hours of August 18 in 2022,a mountain flood disaster occurred in Datong Hui and Tu Autonomous County,Xining City,Qinghai Province,resulting in 31 deaths.This typical incident of multiple casualties resulting from a mountain flood disaster caused by heavy precipitation.In this paper,the mountain flood disaster was analyzed from three aspects,the distribution of the observation station network,assessment of minute-level precipitation,and quantitative precipitation estimated by Xining radar data during August 17-18,2022.It aims to identify the critical gap in comprehensive monitoring systems,and explore effective monitoring methods and estimation algorithms of minute-level quantitative precipitation.Moreover,subsequent defense countermeasures were proposed.These findings offer significant guidance for enhancing meteorological disaster prevention capabilities,strengthening the first line of defense in disaster prevention and mitigation,and supporting evidence-based decision-making for local governments and flood control departments.
文摘The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentrate between April to June and September to November each year.However,construction progress tends to slow down during July and August due to increased rainfall associated with the flood season.The impact of the flood season on construction projects is primarily reflected in areas such as civil works,machinery and equipment,and temporary power supply.By establishing a dual-control emergency management system for the flood season,construction enterprises can enhance their emergency response capabilities,effectively reduce management challenges,and improve the overall efficiency of emergency handling.
基金supported by the Research,Community Service,and Innovation/Penelitian,Pengabdian kepada Masyarakat dan Inovasi(P2MI)scheme of the Faculty of Civil and Environmental Engineering,Bandung Institute of Technology/Institut Teknologi Bandung(ITB),grant number[Dean's Decree No.71B/IT1.C06/SK-TA/2023].
文摘Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with an elevation of 666-669 meters above sea level,making it particularly prone to recurrent flooding.The main issue is the absence of an integrated disaster management system.This research aims to identify the drainage system’s asset life cycle(planning,implementation,and operation&maintenance)and assess flood risk in Gedebage.The risk assessment was conducted using questionnaires to evaluate the likelihood and potential impact of risks.In response to major risks,appropriate mitigation strategies were developed.Mitigation efforts included both structural and non-structural measures.The structural mitigation design involved selecting technological alternatives using the Analytical Hierarchy Process(AHP),a decision-making tool that helps compare multiple criteria and alternatives in a structured way.The results indicate that 27% of the assessed risks were unacceptable,42% undesirable,and 31% acceptable.Flood risk in Gedebage can be managed through structural actions,such as drainage revitalization using a closed system,and non-structural strategies,including human-centric,administrative,and cultural approaches.Based on AHP analysis,the most effective technology was a closed drainage system and porous paving blocks.
文摘Floods are among the most severe and frequent natural disasters,impacting numerous countries worldwide.This study investigates flood mapping methodologies utilizing Google Earth Engine(GEE)with Sentinel-1,Sentinel-2,and Landsat data,focusing on the January 2021 Tetouan flood in Morocco.Three approaches were assessed:Sentinel-1 thresholding and NDWI(Normalized Difference Water Index)methods applied to Sentinel-2 and Landsat imagery.The analysis revealed flooded areas of 891 hectares(Sentinel-1),814 hectares(Sentinel-2),and 1237 hectares(Landsat),validated against ArcGIS(Geographic Information System)results estimating 900 hectares.Sentinel-1 demonstrated superior accuracy with only a 9-hectare deviation and proved effective under cloudy conditions.Sentinel-2 provided a balance between spatial resolution and error levels,with moderate commission and omission errors.Landsat detected the largest flood extent but exhibited a slight overestimation.The study emphasizes the advantages of GEE’s cloud-based platform,which significantly reduced processing time,facilitating rapid flood extent mapping.This scalability and efficiency make GEE an invaluable tool for disaster management.The results underline the potential of these methodologies for accurate and timely flood monitoring,enabling informed decision-making in resilience planning and emergency response.Such advancements are critical for mitigating the impacts of flooding and supporting sustainable disaster management strategies in vulnerable regions worldwide.
基金the support of the National Natural Science Foundation of China(No.42107247)the National Key Research and Development Project(No.2022YFD1901605)+1 种基金the Natural Science Foundation of Sichuan Province(Nos.2025YFHZ0142 and 2024NSFSC0800)the Tobacco Science Foundation of Sichuan Province(No.SCYC202407)。
文摘Soil microorganisms and labile soil organic carbon(SOC)fractions are essential factors affecting greenhouse gas(GHG)emissions in paddy fields.However,the effects of labile SOC fractions and microorganisms on GHG emissions from flooding to drying after organic fertilizer replacing for chemical fertilizer remain unclear.Here,a long-term experiment was conducted with four treatments:chemical fertilization only(control),organic fertilizer substituting 25%of chemical N fertilizer(NM1),50%of chemical N fertilizer(NM2),and NM2combined with crop straw(NMS).GHG emissions were monitored,and soil samples were collected to determine labile SOC fractions and microorganisms.Results revealed the GHG emissions in the NM2 significantly increased by 196.88%from flooding to drying,mainly due to the higher CO_(2) emissions.The GHG emissions per kg of C input in NMS was the lowest with the value of 9.17.From flooding to drying,organic fertilizer application significantly increased the readily oxidizable organic carbon(ROC)contents and C lability;the NM2 and NMS dramatically increased the SOC and non-readily oxidizable organic carbon(NROC).The bacterial communities showed significant differences among different treatments in the flooding,while the significant difference was only found between the NMS and other treatments in the drying.From flooding to drying,changing soil moisture conditions causes C fractions and microbial communities to jointly affect carbon emissions,and the NMS promoted carbon sequestration and mitigated GHG emissions.Our findings highlight the importance of the labile SOC fractions and microorganisms linked to GHG emissions in paddy fields.
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.
