National-scale Assessment of Current and Future Flood Risk in England and Wales

In recent years, through the availability of remotely sensed data and other national datasets, it has become possible to conduct national-scale flood risk assessment in England and Wales. The results of this type of risk analysis can be used to inform policy-making and prioritisation of resources for flood management. It can form the starting point for more detailed strategic and local-scale flood risk assessments. The national-scale risk assessment methodology outlined in this paper makes use of information on the location, standard of protection and condition of flood defences in England and Wales, together with datasets of floodplain extent, topography, occupancy and asset values. The flood risk assessment was applied to all of England and Wales in 2002 at which point the expected annual damage from flooding was estimated to be approximately £1 billion. This figure is comparable with records of recent flood damage. The methodology has subsequently been applied to examine the effects of climate and socio-economic change 50 and 80 years in the future. The analysis predicts increasing flood risk unless current flood management policies, practices and investment levels are changed – up to 20-fold increase in real terms economic risk by the 2080s in the scenario with highest economic growth. The increase is attributable primarily to a combination of climate change (in particular sea level rise and increasing precipitation in parts of the UK) and increasing economic vulnerability.     

A Probabilistic Modelling System for Assessing Flood Risks

In order to be economically viable, flood disaster mitigation should be based on a comprehensive assessment of the flood risk. This requires the estimation of the flood hazard (i.e. runoff and associated probability) and the consequences of flooding (i.e. property damage, damage to persons, etc.). Within the “German Research Network Natural Disasters” project, the working group on “Flood Risk Analysis” investigated the complete flood disaster chain from the triggering event down to its various consequences. The working group developed complex, spatially distributed models representing the relevant meteorological, hydrological, hydraulic, geo-technical, and socio-economic processes. In order to assess flood risk these complex deterministic models were complemented by a simple probabilistic model. The latter model consists of modules each representing one process of the flood disaster chain. Each module is a simple parameterisation of the corresponding more complex model. This ensures that the two approaches (simple probabilistic and complex deterministic) are compatible at all steps of the flood disaster chain. The simple stochastic approach allows a large number of simulation runs in a Monte Carlo framework thus providing the basis for a probabilistic risk assessment. Using the proposed model, the flood risk including an estimation of the flood damage was quantified for an example area at the river Rhine. Additionally, the important influence of upstream levee breaches on the flood risk at the lower reaches was assessed. The proposed model concept is useful for the integrated assessment of flood risks in flood prone areas, for cost-benefit assessment and risk-based design of flood protection measures and as a decision support tool for flood management.     

An Assessment of Flood Forecasting in Bangladesh: The Experience of the 1998 Flood

Floods are among the most costly natural disasters interms of human sufferings and economic losses inBangladesh. Approximately 20% of the countryexperiences normal annual flooding while all thehistorical catastrophic floods inundated more thanfifty percent of the country's total area. The recentflood in 1998 has been found to be more severe thanall previous floods. During the flooding season of1998, the Flood Forecasting and Warning Center (FFWC)of the Bangladesh Water Development Board (BWDB)prepared daily flood bulletin and incorporatedinformation about rainfall, rise/fall of riverwater, flood forecasting for 24 and 48 hr inadvance and warning messages (if any). The FFWCattempted to provide adequate services to the localand national level decision-making process. Theforecasting procedure adapted by the FFWC was based onhydrological information, forecaster's experience, andmodel simulation. This paper primarily examines therole and activities of the FFWC, especially in floodforecasting and warning. Identification of the causesand consequences of 1998 flood is the other pertinentarea of discussion of the paper.Findings of this research revealed that the flood of1998 was caused by heavy downpour in the upstream thatwas drained out through the major rivers inBangladesh. Three major rivers' peak was synchronizedand characterized it as the most prolonged flood inthe history of Bangladesh. It also revealed that,despite various limitations, the flood forecasts ofthe FFWC were reasonably adequate to meet nationaldemand during the crises of 1998.     

Understanding a coastal flood event: the 10th March 2008 storm surge event in the Solent, UK

Extreme sea-level events (e.g. caused by storm surges) can cause coastal flooding, and considerable disruption and damage. To understand the impacts or hazards expected by different sea levels, waves and defence failures, it is useful to monitor and analyse coastal flood events, including generating numerical simulations of floodplain inundation. Ideally, any such modelling should be calibrated and validated using information recorded during real events, which can also add plausibility to synthetic flood event simulations. However, such data are rarely compiled for coastal floods. This paper demonstrates the capture of such a flood event dataset, and its integration with defence and floodplain modelling to reconstruct, archive and better understand the regional impacts of the event. The case-study event comprised a significant storm surge, high tide and waves in the English Channel on 10 March 2008, which resulted in flooding in at least 37 distinct areas across the Solent, UK (mainly due to overflow and outflanking of defences). The land area flooded may have exceeded 7 km², with the breaching of a shingle barrier at Selsey contributing to up to 90 % of this area. Whilst sea floods are common in the Solent, this is the first regional dataset on flood extent. The compilation of data for the validation of coastal inundation modelling is discussed, and the implications for the analysis of future coastal flooding threats to population, business and infrastructure in the region.     

洪水影响预报和风险预警理念与业务实践

我国是世界上洪涝灾害频繁而严重的国家之一,洪水预报预警是防汛减灾工作中重要的非工程措施和洪水防御工作的耳目和参谋。从水文行业的视角,回顾了近年来我国洪水预报预警技术与业务进展,分析了当前洪水预报预警工作面临的新形势和新要求,对比国内外同类行业发展查找了存在的差距,阐述了洪水影响预报和风险预警的定义和理念,从顶层对基于影响预报和风险预警的新一代洪水预报预警系统("国家洪水预报预警系统")总体框架进行了研究和设计,一些关键技术成果在大范围洪水早期预警业务实践中得到了探索应用,取得了较好的效果。     

1998年长江中游洪水系统反演及高洪水位形成原因探讨

采用描述江湖洪水运动的数学模型,对长江中游1998年洪水进行实况复演和还原计算,定量分析三口分流变化、洞庭湖湖容扩大、分蓄洪运用对荆江河段、洞庭湖区以及城陵矶至汉口河段水情的相对影响,结合定性的物理解释,深入探讨了1998洪水高洪水位的形成原因及其与江湖水情的相互作用规律,并对退田还湖和三峡水库的防洪作用进行了论证。     

动态实时洪水风险分析及管理系统

当前洪水风险分析按照典型设计标准洪水进行计算的模式难以满足实际防洪管理需要,为了提高洪水风险分析的实时性以及适应洪水演进的动态性,设计了动态实时洪水风险分析框架。在本框架中,先采用一维和二维动态耦合水动力学数值方法耦合溃堤模型,然后在樵桑联围防洪保护区建立洪水演进模拟模型,通过灵活处理模型计算边界条件以及动态设置溃堤功能,计算不同设计标准洪水发生时,堤防出现单一溃口或者组合溃口后保护区内洪水演进过程。按照上述框架开发了樵桑联围动态实时洪水风险图编制与管理应用系统,并利用历史洪水资料开展模型验证,验证结果表明,2008-06洪水马口站、三水站、大熬站、甘竹（一）站的实测最高水位和模型计算最高水位的绝对误差分别为-0.10、0.10、0.09、0.04 m,均满足洪水模拟精度要求。利用模型计算了西江发生200年一遇的洪水情况下,江根堤防出现溃口后的洪水流量及溃口内外洪水水位变化过程,模拟溃口宽度168 m,最大溃口洪水流量达到5 190 m³,分析了堤防溃决后3、6和24 h洪水漫延导致村落淹没情况,结果表明其满足合理性分析。     

A Historical Record of Coastal Floods in Britain: Frequencies and Associated Storm Tracks

This paper examines flood frequencies in three coastal sectors of Britain and analyses the associated storm tracks and their principal pathways. The results indicate that the east coast of Britain has suffered most floods over the last 200 years. The frequencies of flood incidents in the south and southwest coast of Britain have increased, particularly during the 20th century, whereas on the west coast flood frequencies have declined. Three distinctive pathways of storm track are identified, related to flood incidents in each coastal sector. A southern pathway in a corridor along the 55° N parallel is associated with flood incidents recorded on the south and southwest coast, whilst storms that are associated with floods on the west coast concentrate along the 60° N parallel. The relationship between the frequencies of floods and climatic variations needs to be explored further. However, the development of coastal settlements has certainly increased vulnerability, and hence the risk of flood disasters.     

Flood Forecasting and Warning at the River Basin and at the European Scale

Application of recent advances in numerical weather prediction (NWP) has the potential of allowing delivery of flood warning to extend well beyond the typical lead times of operational flood warning at the river basin scale. A prototype system, a European Flood Forecasting System (EFFS) developed to deliver such pre-warnings, aiming at providing a pre-warning at lead times of between 5 and 10 days is described. Considerable uncertainty in the weather forecast at these lead times, however, means that resulting forecasts must be treated probabilistically, and although probabilistic forecasts may be easy to disseminate, these are difficult to understand. This paper explores the structure of operational flood warning, and shows that integration in the flood warning process is required if the pre-warning is to fulfil its potential. A simple method of summarising the information in the pre-warning is presented, and the system in hindcast mode is shown to give clear indication of an upcoming major event in the Rhine basin up to 10 days before the actual event. Finally recommendations on the use of data assimilation to embed the EFFS system within an operational environment are given.     

Computer-based Model for Flood Evacuation Emergency Planning

A computerized simulation model for capturing human behavior during flood emergency evacuation is developed using a system dynamics approach. It simulates the acceptance of evacuation orders by the residents of the area under threat; number of families in the process of evacuation; and time required for all evacuees to reach safety. The model is conceptualized around the flooding conditions (physical and management) and the main set of social and mental factors that determine human behavior before and during the flood evacuation. The number of families under the flood threat, population in the process of evacuation, inundation of refuge routes, flood conditions (precipitation, river elevation, etc.), and different flood warnings and evacuation orders related variables are among the large set of variables included in the model. They are linked to the concern that leads to the danger recognition, which triggers evacuation decisions that determine the number of people being evacuated. The main purpose of the model is to assess the effectiveness of different flood emergency management procedures. Each procedure consists of the choice of flood warning method, warning consistency, timing of evacuation order, coherence of the community, upstream flooding conditions, and set of weights assigned to different warning distribution methods. Model use and effectiveness are tested through the evaluation of the effectiveness of different flood evacuation emergency options in the Red River Basin, Canada.     

An agent-based model for risk-based flood incident management

Effective flood incident management (FIM) requires successful operation of complex, interacting human and technological systems. A dynamic agent-based model of FIM processes has been developed to provide new insights which can be used for policy analysis and other practical applications. The model integrates remotely sensed information on topography, buildings and road networks with empirical survey data to fit characteristics of specific communities. The multiagent simulation has been coupled with a hydrodynamic model to estimate the vulnerability of individuals to flooding under different storm surge conditions, defence breach scenarios, flood warning times and evacuation strategies. A case study in the coastal town of Towyn in the United Kingdom has demonstrated the capacity of the model to analyse the risks of flooding to people, support flood emergency planning and appraise the benefits of flood incident management measures.     

山洪影响调查评价与预警体系建设方法研究——以昌江芦溪河段为例

以山洪影响调查成果为基础,评价了昌江芦溪河段受洪水影响的程度,建立了水位预警指标体系和水文预报模型。得出的主要结论有:昌江芦溪河段洪水影响机率不到5年一遇,罗村最典型,个别年份重复受灾,属典型的山洪影响威胁区;以既有水文站点为基础,建立了水文站点的水位与上下游村落淹没基础信息的量化关联,形成"1对N"的预警关联体系,标定了集合对象的成灾水位(75.50m),分析结论与实际调查结果吻合;研究了昌江流域产汇流规律,建立了预报模型。本文的评价思路与预警体系构架方法可以作为完善山洪灾害非工程措施、中小河流水文监测系统实际应用的参考,对各地正在开展的山洪灾害调查评价工作具有参考意义。     

三峡为中心的长江防洪系统实时优化调度模型研究

主要介绍以三峡为中心的长江防洪系统联合调度运行的数学模型--洪水模拟模型和水库优化调度模型.前者包括水文学洪水演进模型,一维非恒定流模型,一维和二维组合洪水模拟模型,荆江分洪区与洪湖分洪区联合运用模型,用于反映洪水在河湖中的运动及防洪措施蓄泄效果;后者由总体控制模型与模糊决策,大系统解耦以及网络分析等模型组成,用于确定使库群起到最佳防洪效果的优化调度策略.     

Impact of Flood Disasters on Taiwan in the Last Quarter Century

The increasing natural disasters, especially floods during the last quarter century, are raising the economic losses in Taiwan. The most severe hazard in Taiwan is flooding induced by typhoons and storms in summer and autumn. By comparing the rivers around the world, the ones in Taiwan have the steepest slopes, the largest discharge per unit drainage area, and the shortest time of concentrations. Rapid urbanization without proper land uses managements usually worsen the flood problems. Consequently, flood hazards mitigation has become the most essential task for Taiwan to deal with. Although the government keeps improving flood defense structures, the flood damage grows continuously. In this article, possible flood mitigation strategies are identified for coping with complex environmental and social decisions with flood risk involved.     

上海复合极端风暴洪水淹没模拟

河口三角洲和沿海城市面临着台风、暴雨、高潮位和上游下泄洪水叠加的“四碰头”复合极端风暴洪水的严重威胁。构建了大气-海洋-陆地相耦合的一体化数值模拟系统,实现了上海市“风”“暴”“潮”“洪”多灾种复合情景的极端洪涝淹没模拟,并验证了耦合方法的有效性,为复合风暴洪水的一体化模拟提供了一套可行的数值模拟方法。在9711台风影响下,模拟了1998年堤防升级改造后淹没面积(水深>0.2m)比改造前减少了62%,表明沿海沿江堤防设施建设在上海市防台防汛中起着关键性的作用。复合极端风暴洪水的有效模拟可为财产保险和未来市政规划提供参考。     

汾河防洪专家系统的设计与应用

汾河中游防洪决策支持系统是以管理科学、运筹学、控制论和行为科学为基础,以计算机、仿真技术和信息技术为手段,是辅助管理决策人员在防洪决策活动中,具有智能作用的人一机网络系统。系统由图文信息系统、历史暴雨洪水、雨情水情测报、洪水预报调度、人工演绎系统、智能辅助系统、数据管理系统、操作使用说明等8个部分组成。汾河防洪专家系统是该系统的智能分析部分。本文着重阐述了汾河防洪专家系统的设计思想和实现途径、建立防洪专家知识库的步骤和技巧,以及系统的运行和扩展。     

山洪预报预警技术研究进展

山洪预报预警研究是实施山洪灾害防治的重要科学支撑。目前国内外学者对山洪预报预警技术的研究主要集中在山洪预警指标、山洪预报预警模型以及山洪灾害风险分析等方面,本文对山洪预报预警技术相关研究进展进行了总结,并指出未来在山洪灾害监测、山洪预报预警模型研制、多元信息融合技术、结合山洪特点和区划有针对性进行预报预警等方面还应进行更深入的研究。     

The Influence of Floodplain Compartmentalization on Flood Risk within the Rhine–Meuse Delta

The present compartmentalization layout within the river polders in the Dutch Rhine–Meuse delta is the result of abandonment and partial removal of secondary dikes and the construction of modern infrastructure embankments. These structures will guide the flow of water in case the polder would inundate. Through the application of a 2-D flood propagation model in the polder Land van Maas en Waal this study explores whether restoration or removal of old dike remnants would contribute to a reduction of the risk and damage during an inundation. A systematic set of 28 flood scenarios was simulated and for each scenario an additional damage and risk assessment was carried out. It is concluded that a simple removal or total restoration will not reduce flood damage, but that this must be achieved by a strategic compartment plan. With such a plan old dike remnants and present embankments can be used to keep water away from vulnerable and valuable areas for as long as possible and to guide the floodwater to areas that are considered less vulnerable.     

考虑暴雨成因的大伙房水库洪水分类研究

暴雨洪水形成机制十分复杂,它既具有随机性,又具有确定性.可是现行的流域防洪调度设计中强调的是随机性,忽略了客观上存在的确定性,因此使得设计结果与实际脱节,不能充分发挥防洪与兴利效益.本文针对这一问题,考虑到特定流域内产生暴雨的天气系统所具有的相对稳定性规律,及其形成的暴雨洪水过程存在的确定性关系,以大伙房水库流域为例,归纳出依据暴雨成因对流域内洪水过程分类的方法.通过各类洪水过程线图及各类洪水过程相似性系数计算,证明了洪水过程分类的合理性.这种分类,对了解流域洪水规律,提高水库防洪能力、提高洪水资源利用率,及深入研究水库防洪分类预报调度方式设计具有重要的现实意义.     

Vulnerability of population and transportation infrastructure at the east bank of Delaware Bay due to coastal flooding in sea-level rise conditions

Catastrophic flooding associated with sea-level rise and change of hurricane patterns has put the northeastern coastal regions of the United States at a greater risk. In this paper, we predict coastal flooding at the east bank of Delaware Bay and analyze the resulting impact on residents and transportation infrastructure. The three-dimensional coastal ocean model FVCOM coupled with a two-dimensional shallow water model is used to simulate hydrodynamic flooding from coastal ocean water with fine-resolution meshes, and a topography-based hydrologic method is applied to estimate inland flooding due to precipitation. The entire flooded areas with a range of storm intensity (i.e., no storm, 10-, and 50-year storm) and sea-level rise (i.e., current, 10-, and 50-year sea level) are thus determined. The populations in the study region in 10 and 50 years are predicted using an economic-demographic model. With the aid of ArcGIS, detailed analysis of affected population and transportation systems including highway networks, railroads, and bridges is presented for all of the flood scenarios. It is concluded that sea-level rise will lead to a substantial increase in vulnerability of residents and transportation infrastructure to storm floods, and such a flood tends to affect more population in Cape May County but more transportation facilities in Cumberland County, New Jersey.