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  • 1
    Online Resource
    Online Resource
    Floods in a Changing Climate : Inundation Modelling. (2012)
    Cambridge :Cambridge University Press,
    Details
    Keywords: Floodplain management. ; Electronic books.
    Description / Table of Contents: This book explains hydraulic modeling and floodplain dynamics, providing models of hazard predictions for floodplains based on state-of-the-art remote sensing data. Ideal for academic researchers and professionals working in hazard mitigation, hydraulic engineering and remote sensing, it is one of four books on climate-related flood disaster management theory and practice.
    Type of Medium: Online Resource
    Pages: 1 online resource (122 pages)
    Edition: 1st ed.
    ISBN: 9781139844918
    Series Statement: International Hydrology Series
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=1057510
    DDC: 551.48/9011
    Language: English
    Note: Intro -- Contents -- Contributing authors -- Forewords -- Preface -- 1 Introduction -- 1.1 Floods: natural processes and (un)natural disasters -- 1.2 Definitions -- 1.3 Flood inundation modelling -- 1.4 Climate and floods -- 1.5 Problems addressed by this book -- Part I Theory -- 2 Theoretical background: steady flow -- 2.1 Uniform flow -- 2.2 Subcritical and supercritical flows -- 2.3 Water surface profiles -- 2.4 Backwater computation -- 2.5 Exercises -- 3 Theoretical background: unsteady flow -- 3.1 Introduction -- 3.2 Navier-Stokes equations -- 3.2.1 Continuity equation -- 3.2.2 Momentum equation -- 3.3 Saint-Venant equations -- 3.4 Kinematic wave model -- 3.5 Diffusive model -- 3.6 Fully dynamic model -- 3.7 Conclusions -- 3.8 Exercises -- Part II Methods -- 4 Data sources -- 4.1 Ground data -- 4.1.1 Topography -- 4.1.2 Hydrometry -- 4.1.3 High flood marks -- 4.2 Remote sensing data -- 4.2.1 Topography -- 4.2.2 Flood extent maps -- 4.2.3 Flood water levels -- 4.3 Uncertainty -- 4.3.1 Uncertainty in river discharges -- 4.3.2 Uncertainty in space-borne flood extent maps -- 4.4 Conclusions and perspectives -- 4.5 Exercises -- 5 Model building -- 5.1 Modelling approaches -- 5.1.1 Flood propagation and inundation processes -- 5.1.2 Classification of models -- 5.1.3 Modelling tools -- 5.2 Model selection -- 5.2.1 Selection criteria -- 5.2.2 Model comparison -- 5.3 Model implementation -- 5.3.1 Time discretization -- 5.3.2 Geometry -- 5.3.3 Roughness -- 5.4 Conclusions and perspectives -- 5.5 Exercises -- 6 Model evaluation -- 6.1 Concepts -- 6.1.1 Code verification -- 6.1.2 Model validation -- 6.2 Performance measures -- 6.2.1 At-a-point time series (hydrographs) -- 6.2.2 Spatially distributed, continuous point data (high water marks) -- 6.2.3 Spatially distributed, binary pattern data (flood extent maps) -- 6.3 Calibration and validation. , 6.4 Uncertainty analysis -- 6.4.1 Uncertainty in flood inundation modelling -- 6.4.2 The GLUE framework -- 6.4.3 Uncertainty estimation -- 6.5 Conclusions and perspectives -- 6.6 Exercises -- Hydraulic modelling -- SAR data for model evaluation -- Simulation of the 2008 flood -- Specific tasks -- 7 Model outputs -- 7.1 Mapping model results -- 7.2 Deterministic floodplain mapping -- 7.3 Probabilistic floodplain mapping -- 7.4 Deterministic versus probabilistic -- 7.5 Conclusions and perspectives -- 7.6 Exercises -- Part III Applications -- 8 Urban flood modelling -- 8.1 Introduction -- 8.2 Requirements for hydraulic modelling of urban floods -- 8.2.1 Building hydraulic models -- 8.2.2 Assessing urban flood models -- 8.3 Test case -- 8.3.1 Site and event description -- 8.3.2 Data availability and collection -- 8.3.3 Analysis of buildings -- 8.3.4 Results -- 8.4 Discussion and conclusions -- 9 Changes in flood propagation caused by human activities -- 9.1 Introduction -- 9.2 Test site and problem statement -- 9.2.1 Case study -- 9.2.2 Problem statement -- 9.3 Methods -- 9.3.1 Hydraulic modelling -- 9.3.2 Model evaluation: the 1879 inundation -- 9.3.3 Numerical experiment -- 9.4 Results -- 9.5 Conclusions -- 9.6 Exercises -- Specific tasks -- Useful equations -- Useful equations -- 10 Changes of stage-discharge rating curves -- 10.1 Introduction -- 10.2 Test site and problem statement -- 10.3 Methods -- 10.4 Results -- 10.5 Conclusions -- 11 Evaluation of floodplain management strategies -- 11.1 Introduction -- 11.2 Test site and problem statement -- 11.2.1 Case study -- 11.2.2 Problem statement -- 11.3 Methods -- 11.3.1 Hydraulic modelling -- 11.3.2 Ensemble simulations -- 11.4 Results -- 11.4.1 Resistance strategy -- 11.4.2 Controlled flooding -- 11.4.3 Flood hazard mapping -- 11.5 Discussion -- 11.6 Conclusions -- References -- Index.
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  • 2
    Online Resource
    Online Resource
    Floods in a changing climate : Inundation modelling (2012)
    Cambridge : Cambridge University Press
    Details Availability
    Keywords: Floodplains ; Hydrogeological modeling ; Climatic changes ; Floodplain management ; Flood damage prevention ; Flood damage prevention ; Floodplain management ; Floodplains ; Hydrogeological modeling ; Climatic changes ; Hochwasser ; Aue ; Überflutung ; Modellierung
    Description / Table of Contents: Flood inundation models enable us to make hazard predictions for floodplains, mitigating increasing flood fatalities and losses. This book provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to estimate and communicate uncertainty. Academic researchers in the fields of hydrology, climate change, environmental science and natural hazards, and professionals and policy-makers working in flood risk mitigation, hydraulic engineering and remote sensing will find this an invaluable resource. This volume is the third in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar and Floods in a Changing Climate: Risk Management by Slodoban Simonović
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xiv, 105 pages) , digital, PDF file(s)
    ISBN: 9781139088411 , 9781107018754
    Series Statement: International hydrology series
    URL: https://doi.org/10.1017/CBO9781139088411
    URL: https://external.dandelon.com/download/attachments/dandelon/ids/DE004D085E7FEB6E3BD26C1257CF9003AB0A2.pdf
    DOI: 10.1017/CBO9781139088411
    DDC: 551.48/9011
    Language: English
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015) , Contents; Contributing authors; Forewords; Preface; 1 Introduction; 1.1 Floods: natural processes and (un)natural disasters; 1.2 Definitions; 1.3 Flood inundation modelling; 1.4 Climate and floods; 1.5 Problems addressed by this book; Part I Theory; 2 Theoretical background: steady flow; 2.1 Uniform flow; 2.2 Subcritical and supercritical flows; 2.3 Water surface profiles; 2.4 Backwater computation; 2.5 Exercises; 3 Theoretical background: unsteady flow; 3.1 Introduction; 3.2 Navier-Stokes equations; 3.2.1 Continuity equation; 3.2.2 Momentum equation; 3.3 Saint-Venant equations , 3.4 Kinematic wave model3.5 Diffusive model; 3.6 Fully dynamic model; 3.7 Conclusions; 3.8 Exercises; Part II Methods; 4 Data sources; 4.1 Ground data; 4.1.1 Topography; 4.1.2 Hydrometry; 4.1.3 High flood marks; 4.2 Remote sensing data; 4.2.1 Topography; 4.2.2 Flood extent maps; 4.2.3 Flood water levels; 4.3 Uncertainty; 4.3.1 Uncertainty in river discharges; 4.3.2 Uncertainty in space-borne flood extent maps; 4.4 Conclusions and perspectives; 4.5 Exercises; 5 Model building; 5.1 Modelling approaches; 5.1.1 Flood propagation and inundation processes; 5.1.2 Classification of models , 5.1.3 Modelling tools5.2 Model selection; 5.2.1 Selection criteria; 5.2.2 Model comparison; 5.3 Model implementation; 5.3.1 Time discretization; 5.3.2 Geometry; 5.3.3 Roughness; 5.4 Conclusions and perspectives; 5.5 Exercises; 6 Model evaluation; 6.1 Concepts; 6.1.1 Code verification; 6.1.2 Model validation; 6.2 Performance measures; 6.2.1 At-a-point time series (hydrographs); 6.2.2 Spatially distributed, continuous point data (high water marks); 6.2.3 Spatially distributed, binary pattern data (flood extent maps); 6.3 Calibration and validation; 6.4 Uncertainty analysis , 6.4.1 Uncertainty in flood inundation modelling6.4.2 The GLUE framework; 6.4.3 Uncertainty estimation; 6.5 Conclusions and perspectives; 6.6 Exercises; Hydraulic modelling; SAR data for model evaluation; Simulation of the 2008 flood; Specific tasks; 7 Model outputs; 7.1 Mapping model results; 7.2 Deterministic floodplain mapping; 7.3 Probabilistic floodplain mapping; 7.4 Deterministic versus probabilistic; 7.5 Conclusions and perspectives; 7.6 Exercises; Part III Applications; 8 Urban flood modelling; 8.1 Introduction; 8.2 Requirements for hydraulic modelling of urban floods , 8.2.1 Building hydraulic models8.2.2 Assessing urban flood models; 8.3 Test case; 8.3.1 Site and event description; 8.3.2 Data availability and collection; 8.3.3 Analysis of buildings; 8.3.4 Results; 8.4 Discussion and conclusions; 9 Changes in flood propagation caused by human activities; 9.1 Introduction; 9.2 Test site and problem statement; 9.2.1 Case study; 9.2.2 Problem statement; 9.3 Methods; 9.3.1 Hydraulic modelling; 9.3.2 Model evaluation: the 1879 inundation; 9.3.3 Numerical experiment; 9.4 Results; 9.5 Conclusions; 9.6 Exercises; Specific tasks; Useful equations; Useful equations , 10 Changes of stage-discharge rating curves
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  • 3
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    The challenge of unprecedented floods and droughts in risk management (2022)
    In:  EPIC3Nature, 608(7921), pp. 80-86, ISSN: 0028-0836
    Details
    Publication Date: 2022-09-02
    Description: Risk management has reduced vulnerability to floods and droughts globally, yet their impacts are still increasing. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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  • 4
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    Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (2023)
    Copernicus Publications
    In:  EPIC3Earth System Science Data, Copernicus Publications, 15(5), pp. 2009-2023, ISSN: 1866-3508
    Details
    Publication Date: 2024-04-22
    Description: As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions, and feedbacks in complex human-water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed and in the quantity of socio-hydrological data. The benchmark dataset comprises (1) detailed review-style reports about the events and key processes between the two events of a pair; (2) the key data table containing variables that assess the indicators which characterize management shortcomings, hazard, exposure, vulnerability, and impacts of all events; and (3) a table of the indicators of change that indicate the differences between the first and second event of a pair. The advantages of the dataset are that it enables comparative analyses across all the paired events based on the indicators of change and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. The dataset can be used by the scientific community for exploratory data analyses, e.g. focused on causal links between risk management; changes in hazard, exposure and vulnerability; and flood or drought impacts. The data can also be used for the development, calibration, and validation of socio-hydrological models. The dataset is available to the public through the GFZ Data Services (Kreibich et al., 2023, 10.5880/GFZ.4.4.2023.001).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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