Evaluating a new LISFLOOD-FP formulation with data from the summer 2007 floods in Tewkesbury, UK

Two-dimensional flood inundation modelling is a widely used tool to aid flood risk management. In urban areas, where asset value and population density are greatest, the model spatial resolution required to represent flows through a typical street network (i.e. < 10m) often results in impractical computational cost at the whole city scale. Explicit diffusive storage cell models become very inefficient at such high resolutions, relative to shallow water models, because the stable time step in such schemes scales as a quadratic of resolution. This paper presents the calibration and evaluation of a recently developed new formulation of the LISFLOOD-FP model, where stability is controlled by the Courant–Freidrichs–Levy condition for the shallow water equations, such that, the stable time step instead scales linearly with resolution. The case study used is based on observations during the summer 2007 floods in Tewkesbury, UK. Aerial photography is available for model evaluation on three separate days from the 24th to the 31st of July. The model covered a 3.6 km by 2 km domain and was calibrated using gauge data from high flows during the previous month. The new formulation was benchmarked against the original version of the model at 20 m and 40 m resolutions, demonstrating equally accurate performance given the available validation data but at 67x faster computation time. The July event was then simulated at the 2 m resolution of the available airborne LiDAR DEM. This resulted in a significantly more accurate simulation of the drying dynamics compared to that simulated by the coarse resolution models, although estimates of peak inundation depth were similar.

A sensitivity study for water availability in the Northern Caucasus based on climate projections

A strong climatic warming is currently observed in the Caucasus mountains, which has profound impact on runoff generation in the glaciated Glavny (Main) Range and on water availability in the whole region. To assess future changes in the hydrological cycle, the output of a general circulation model was downscaled statistically. For the 21st century, a further warming by 4–7 °C and a slight precipitation increase is predicted. Measured and simulated meteorological variables were used as input into a runoff model to transfer climate signals into a hydrological response under both present and future climate forcings. Runoff scenarios for the mid and the end of the 21st century were generated for different steps of deglaciation. The results show a satisfactory model performance for periods with observed runoff. Future water availability strongly depends on the velocity of glacier retreat. In a first phase, a surplus of water will increase flood risk in hot years and after continuing glacier reduction, annual runoff will again approximate current values. However, the seasonal distribution of streamflow will change towards runoff increase in spring and lower flows in summer.

Evaluating a new LISFLOOD-FP formulation with data from the summer 2007 floods in Tewkesbury, UK

Two-dimensional flood inundation modelling is a widely used tool to aid flood risk management. In urban areas, the model spatial resolution required to represent flows through a typical street network often results in an impractical computational cost at the city scale. This paper presents the calibration and evaluation of a recently developed formulation of the LISFLOOD-FP model, which is more computationally efficient at these resolutions. Aerial photography was available for model evaluation on 3 days from the 24 to the 31 of July. The new formulation was benchmarked against the original version of the model at 20 and 40 m resolutions, demonstrating equally accurate simulation, given the evaluation data but at a 67 times faster computation time. The July event was then simulated at the 2 m resolution of the available airborne LiDAR DEM. This resulted in more accurate simulation of the floodplain drying dynamics compared with the coarse resolution models, although maximum inundation levels were simulated equally well at all resolutions tested.

Modelling climate impact on floods with ensemble climate projections

The evidence provided by modelled assessments of future climate impact on flooding is fundamental to water resources and flood risk decision making. Impact models usually rely on climate projections from global and regional climate models (GCM/RCMs). However, challenges in representing precipitation events at catchment-scale resolution mean that decisions must be made on how to appropriately pre-process the meteorological variables from GCM/RCMs. Here the impacts on projected high flows of differing ensemble approaches and application of Model Output Statistics to RCM precipitation are evaluated while assessing climate change impact on flood hazard in the Upper Severn catchment in the UK. Various ensemble projections are used together with the HBV hydrological model with direct forcing and also compared to a response surface technique. We consider an ensemble of single-model RCM projections from the current UK Climate Projections (UKCP09); multi-model ensemble RCM projections from the European Union's FP6 ‘ENSEMBLES’ project; and a joint probability distribution of precipitation and temperature from a GCM-based perturbed physics ensemble. The ensemble distribution of results show that flood hazard in the Upper Severn is likely to increase compared to present conditions, but the study highlights the differences between the results from different ensemble methods and the strong assumptions made in using Model Output Statistics to produce the estimates of future river discharge. The results underline the challenges in using the current generation of RCMs for local climate impact studies on flooding. Copyright © 2012 Royal Meteorological Society

The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios

This paper presents a preliminary assessment of the relative effects of rate of climate change (four Representative Concentration Pathways - RCPs), assumed future population (five Shared Socio-economic Pathways - SSPs), and pattern of climate change (19 CMIP5 climate models) on regional and global exposure to water resources stress and river flooding. Uncertainty in projected future impacts of climate change on exposure to water stress and river flooding is dominated by uncertainty in the projected spatial and seasonal pattern of change in climate. There is little clear difference in impact between RCP2.6, RCP4.5 and RCP6.0 in 2050, and between RCP4.5 and RCP6.0 in 2080. Impacts under RCP8.5 are greater than under the other RCPs in 2050 and 2080. For a given RCP, there is a difference in the absolute numbers of people exposed to increased water resources stress or increased river flood frequency between the five SSPs. With the ‘middle-of-the-road’ SSP2, climate change by 2050 would increase exposure to water resources stress for between approximately 920 and 3400 million people under the highest RCP, and increase exposure to river flood risk for between 100 and 580 million people. Under RCP2.6, exposure to increased water scarcity would be reduced in 2050 by 22-24%, compared to impacts under the RCP8.5, and exposure to increased flood frequency would be reduced by around 16%. The implications of climate change for actual future losses and adaptation depend not only on the numbers of people exposed to changes in risk, but also on the qualitative characteristics of future worlds as described in the different SSPs. The difference in ‘actual’ impact between SSPs will therefore be greater than the differences in numbers of people exposed to impact.

Potential influences on the United Kingdom's floods of winter 2013/14

During the winter of 2013/14, much of the UK experienced repeated intense rainfall events and flooding. This had a considerable impact on property and transport infrastructure. A key question is whether the burning of fossil fuels is changing the frequency of extremes, and if so to what extent. We assess the scale of the winter flooding before reviewing a broad range of Earth system drivers affecting UK rainfall. Some drivers can be potentially disregarded for these specific storms whereas others are likely to have increased their risk of occurrence. We discuss the requirements of hydrological models to transform rainfall into river flows and flooding. To determine any general changing flood risk, we argue that accurate modelling needs to capture evolving understanding of UK rainfall interactions with a broad set of factors. This includes changes to multiscale atmospheric, oceanic, solar and sea-ice features, and land-use and demographics. Ensembles of such model simulations may be needed to build probability distributions of extremes for both pre-industrial and contemporary concentration levels of atmospheric greenhouse gases.

Effect Of Different Hydrological Model Structures On The Assimilation Of Distributed Uncertain Observations

The reliable evaluation of the flood forecasting is a crucial problem for assessing flood risk and consequent damages. Different hydrological models (distributed, semi-distributed or lumped) have been proposed in order to deal with this issue. The choice of the proper model structure has been investigated by many authors and it is one of the main sources of uncertainty for a correct evaluation of the outflow hydrograph. In addition, the recent increasing of data availability makes possible to update hydrological models as response of real-time observations. For these reasons, the aim of this work it is to evaluate the effect of different structure of a semi-distributed hydrological model in the assimilation of distributed uncertain discharge observations. The study was applied to the Bacchiglione catchment, located in Italy. The first methodological step was to divide the basin in different sub-basins according to topographic characteristics. Secondly, two different structures of the semi-distributed hydrological model were implemented in order to estimate the outflow hydrograph. Then, synthetic observations of uncertain value of discharge were generated, as a function of the observed and simulated value of flow at the basin outlet, and assimilated in the semi-distributed models using a Kalman Filter. Finally, different spatial patterns of sensors location were assumed to update the model state as response of the uncertain discharge observations. The results of this work pointed out that, overall, the assimilation of uncertain observations can improve the hydrologic model performance. In particular, it was found that the model structure is an important factor, of difficult characterization, since can induce different forecasts in terms of outflow discharge. This study is partly supported by the FP7 EU Project WeSenseIt.

Evaluating And Optimizing Sustainable Drainage Design To Maximize Multiple Benefits: Case Studies In China

In the past, the focus of drainage design was on sizing pipes and storages in order to provide sufficient network capacity. This traditional approach, together with computer software and technical guidance, had been successful for many years. However, due to rapid population growth and urbanisation, the requirements of a “good” drainage design have also changed significantly. In addition to water management, other aspects such as environmental impacts, amenity values and carbon footprint have to be considered during the design process. Going forward, we need to address the key sustainability issues carefully and practically. The key challenge of moving from simple objectives (e.g. capacity and costs) to complicated objectives (e.g. capacity, flood risk, environment, amenity etc) is the difficulty to strike a balance between various objectives and to justify potential benefits and compromises. In order to assist decision makers, we developed a new decision support system for drainage design. The system consists of two main components – a multi-criteria evaluation framework for drainage systems and a multi-objective optimisation tool. The evaluation framework is used for the quantification of performance, life-cycle costs and benefits of different drainage systems. The optimisation tool can search for feasible combinations of design parameters such as the sizes, order and type of drainage components that maximise multiple benefits. In this paper, we will discuss real-world application of the decision support system. A number of case studies have been developed based on recent drainage projects in China. We will use the case studies to illustrate how the evaluation framework highlights and compares the pros and cons of various design options. We will also discuss how the design parameters can be optimised based on the preferences of decision makers. The work described here is the output of an EngD project funded by EPSRC and XP Solutions.

NDVI With Artificial Neural Networks For SRTM Elevation Model Improvement – Hydrological Model Application

Digital elevation model (DEM) plays a substantial role in hydrological study, from understanding the catchment characteristics, setting up a hydrological model to mapping the flood risk in the region. Depending on the nature of study and its objectives, high resolution and reliable DEM is often desired to set up a sound hydrological model. However, such source of good DEM is not always available and it is generally high-priced. Obtained through radar based remote sensing, Shuttle Radar Topography Mission (SRTM) is a publicly available DEM with resolution of 92m outside US. It is a great source of DEM where no surveyed DEM is available. However, apart from the coarse resolution, SRTM suffers from inaccuracy especially on area with dense vegetation coverage due to the limitation of radar signals not penetrating through canopy. This will lead to the improper setup of the model as well as the erroneous mapping of flood risk. This paper attempts on improving SRTM dataset, using Normalised Difference Vegetation Index (NDVI), derived from Visible Red and Near Infra-Red band obtained from Landsat with resolution of 30m, and Artificial Neural Networks (ANN). The assessment of the improvement and the applicability of this method in hydrology would be highlighted and discussed.

Impacto de chuvas extremas em ações da indústria de alimentos

A análise dos efeitos decorrentes de chuvas extremas sobre o retorno das ações de algumas das principais empresas do setor alimentício brasileiro é de fundamental relevância, por ser um setor com capacidade expressiva para impulsionar o crescimento econômico do Brasil. Diante disso, neste trabalho é analisado o impacto sobre o retorno financeiro diário de seus empresas do setor alimentício brasileiro decorrente de precipitação pluviométrica extrema. Para tal, os retornos diários foram ajustados pelo modelo AR(1)-GARCH(1,1), onde suas inovações foram modeladas pela Teoria dos Valores Extremos. A partir daí o valor em risco (VaR) foi estimado para analisar o impacto das chuvas extremas sobre as ações em estudo. Os resultados encontrados indicam que, em cinco das seis empresas analisadas, pelo menos mais da metade dos impactos pluviométricos extremos apresentaram-se significantes.

Inundações urbanas no semiarido nordestino: o caso da cidade de Pau dos Ferros - RN

The Apodi river basin, particularly within the snippet that crosses Pau dos Ferros - RN city, place anthropogenic actions that interfere in the dynamic environment by modifying the local landscape. The reflection of these actions can be seen in the floods that occur in rainy periods (February to may) virtually every year in the city. It is important to stress that the project of integration of the waters of the San Francisco basin with the northern basin of Northeastern will perennial the main channel of the river basin, and generate greater impacts in the region. This work sought to define a methodology able to delimit areas susceptible to flooding in cities of semiarid Northeast based on the Pau dos Ferros RN city. The dissertation is divided into two chapters and introduction. The introduction presents a theoretical frame based on discussion of the concept of risk, their main characteristics and subdivisions; floods; geotecnologies; Apodi River basin; municipal data Pau dos Ferros RN and design integration of Francisco basin with the northern basins Northeast. The first chapter evaluates the urban expansion process between 1987 and 2008, delimiting the flood areas and analyzes the relationship between urban growth and retention areas. The second chapter identifies the flood risk areas in the Pau dos Ferros city. The methodology used was based on tools of geographic information system GIS from software SPRING/INPE 5.1, as well as bibliographical, satellite images, aerial photographs and field activities. The results obtained enabled view the rapid expansion of the urban area of Pau dos Ferros, which has doubled in a period of 22 years. The population density checks with greater intensity in South-central portion of the city, in flood areas and not flood (Cap. 01). It was noted also that some neighborhoods along the River Apodi are susceptible to more instances of flooding ranging from minimum to maximum, while in neighborhoods near the Riacho Cajazeiras floods occur to a lesser extent because of altimetry higher and lower water volume. (Cap. 02). It is expected that this work will help in the preparation of flood risk municipal map subsidising managers in implementing public policies targeted to the softening of urban flood-related issues in Pau dos Ferros RN and serve as a model for mapping of other cities with similar characteristics analyzed in this work

Análise de risco a inundação na cidade de Alenquer - Estado do Pará

A cidade de Alenquer, localizada na região do Baixo Amazonas do Estado do Pará, sofre historicamente com a ameaça de inundação. Todos os anos, na época da enchente, o furo Surubiú aumenta seu nível, inundando as partes mais baixas da cidade. A presente dissertação analisa o risco a inundação existente na cidade de Alenquer proporcionando instrumentos para a gestão e melhorias das ações do poder público. A análise de ameaça se baseou em uma metodologia que agrega dados históricos, hidrológicos, mapa de construção participativo e trabalho de campo com GPS, identificado três áreas distintas na cidade: (i) área de alta suscetibilidade, anualmente afetada pelas inundações, abrange 8,4% da área da cidade (ii) área de moderada suscetibilidade, apenas atingida quando observado os maiores índices fluviométricos e (iii) área que mesmo na maiores enchentes não é atingida. O cálculo da vulnerabilidade ocorreu a partir da construção de um índice que inclui dados do censo de demográfico, trabalho de campo para a identificação dos elementos essenciais e unidades de respostas. Após a aplicação do índice verificou-se que dos 17 setores da cidade, cinco apresentam alta vulnerabilidade, e os demais moderada vulnerabilidade. Na análise de risco os dados de vulnerabilidade e ameaças foram integrados e novamente três zonas na cidade foram identificadas (i) a zona de alto risco corresponde a 9,45 % da cidade, onde há grande concentração de elementos essenciais e algumas unidades de respostas, o que provoca danos sociais e econômicos quando da ocorrência de inundação (ii) zona de moderado risco, 30% da cidade e (iii) zona de baixo risco que corresponde a 60,55% da cidade. O Plano Diretor do município foi analisado com alguns questionamentos para verificar a inclusão da temática de ameaça, vulnerabilidade e risco nesse documento, após a análise pode se concluir a falta de abordagem dessa temática no plano diretor. Os resultados obtidos com a pesquisa são importantes para subsidiar políticas publicas e os documentos exigidos pela Defesa Civil quando da ocorrência de desastres.

Proposta metodológica de inclusão da gestão de análises de riscos naturais no zoneamento ecológico e econômico

A região da Calha Norte, localizada no Baixo Amazonas do Estado do Pará, sofre historicamente com vários tipos de ameaças naturais, como cheias, enchentes, alagamentos, erosão, estiagem, enxurrada, fortes chuvas e secas, todas registradas pela Defesa Civil. Todos os anos, seja no período da chuva ou no período da seca, a população fica vulnerável a tais eventos. A presente dissertação consiste em adaptar uma iniciativa metodológica que permita a incorporação da temática de gestão de riscos naturais no Zoneamento Ecológico Econômico (ZEE) do Brasil, tendo como estudo de caso o ZEE da Calha Norte do Pará, proporcionando instrumentos para a gestão e melhorias das ações do poder público. A análise das ameaças naturais baseou-se em estudo metodológico que agregou dados históricos, mapa geomorfológico, mapa geológico, mapa hipsométrico, mapa de declividade, identificando as três classes de análises: (i) área de alta suscetibilidade; (ii) área de moderada suscetibilidade e (iii) área de baixa suscetibilidade, gerando assim os mapas das ameaças de inundação, de erosões e das secas. A construção da vulnerabilidade social ocorreu a partir da aplicação do Índice de Vulnerabilidade Social (IVS) e do Índice de Unidades de Resposta (IUR), oriundos dos dados do Censo 2010 e do Cadastro Nacional de Endereço para Fins Estatísticos (CNEFE), ambos do IBGE. Após a aplicação de tais índices verificou-se que, do total de 397 setores censitários da área de estudo, 365 setores apresentam alta vulnerabilidade e os demais, moderada e baixa vulnerabilidade, o que retrata grande preocupação com tal área. Na análise de risco, os dados de vulnerabilidade e ameaças foram integrados e novamente classificados em três níveis: (i) alto risco, onde há pouca concentração de unidades de respostas e são áreas de alta ameaça, podendo provocar danos sociais e econômicos quando e se ocorrerem as ameaças naturais; (ii) médio nível de risco, resultado gerado do cruzamento de áreas de altas ameaças x baixas ameaças e (iii) baixo nível de risco, resultando em dois produtos cartográficos: o mapa de risco de inundação e o mapa de risco de erosão. O ZEE da Calha Norte do Pará foi analisado com alguns questionamentos a fim de verificar a inclusão da temática de ameaça, vulnerabilidade e risco no documento, concluindo-se pela falta desta no documento técnico. Além disto, os resultados obtidos com a pesquisa são de elevada importância no sentido de subsidiar o ordenamento territorial e também para a criação de políticas públicas para a região.