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This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
Technology: general issues --- History of engineering & technology --- machine learning --- flash flood --- GIS --- Iran --- decision trees --- ensemble techniques --- manhole flooding --- urban flooding --- grid-based modeling --- SWWM --- FIRM --- pollutant transport --- hydraulic structures --- urban drainage --- CFD --- dual drainage --- Iber --- SWMM --- hazard --- artificial neural network --- resilient backpropagation --- multistep urban flood forecast --- demographic change --- urbanization --- flooding --- drainage system --- vulnerability --- Sub-Saharan Africa --- Antananarivo --- parameterised power-linear model --- hyper concentration --- dilute concentration --- suspended sediment transport --- flood --- sediment size parameter --- rouse number --- mean concentration --- flow depth --- urban flood modeling --- porosity --- shallow-water model --- urban flood management --- flood forecasting --- weather radar --- integrated hydraulic modeling --- and evacuation lead time --- n/a
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This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
machine learning --- flash flood --- GIS --- Iran --- decision trees --- ensemble techniques --- manhole flooding --- urban flooding --- grid-based modeling --- SWWM --- FIRM --- pollutant transport --- hydraulic structures --- urban drainage --- CFD --- dual drainage --- Iber --- SWMM --- hazard --- artificial neural network --- resilient backpropagation --- multistep urban flood forecast --- demographic change --- urbanization --- flooding --- drainage system --- vulnerability --- Sub-Saharan Africa --- Antananarivo --- parameterised power-linear model --- hyper concentration --- dilute concentration --- suspended sediment transport --- flood --- sediment size parameter --- rouse number --- mean concentration --- flow depth --- urban flood modeling --- porosity --- shallow-water model --- urban flood management --- flood forecasting --- weather radar --- integrated hydraulic modeling --- and evacuation lead time --- n/a
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This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
Technology: general issues --- History of engineering & technology --- machine learning --- flash flood --- GIS --- Iran --- decision trees --- ensemble techniques --- manhole flooding --- urban flooding --- grid-based modeling --- SWWM --- FIRM --- pollutant transport --- hydraulic structures --- urban drainage --- CFD --- dual drainage --- Iber --- SWMM --- hazard --- artificial neural network --- resilient backpropagation --- multistep urban flood forecast --- demographic change --- urbanization --- flooding --- drainage system --- vulnerability --- Sub-Saharan Africa --- Antananarivo --- parameterised power-linear model --- hyper concentration --- dilute concentration --- suspended sediment transport --- flood --- sediment size parameter --- rouse number --- mean concentration --- flow depth --- urban flood modeling --- porosity --- shallow-water model --- urban flood management --- flood forecasting --- weather radar --- integrated hydraulic modeling --- and evacuation lead time --- machine learning --- flash flood --- GIS --- Iran --- decision trees --- ensemble techniques --- manhole flooding --- urban flooding --- grid-based modeling --- SWWM --- FIRM --- pollutant transport --- hydraulic structures --- urban drainage --- CFD --- dual drainage --- Iber --- SWMM --- hazard --- artificial neural network --- resilient backpropagation --- multistep urban flood forecast --- demographic change --- urbanization --- flooding --- drainage system --- vulnerability --- Sub-Saharan Africa --- Antananarivo --- parameterised power-linear model --- hyper concentration --- dilute concentration --- suspended sediment transport --- flood --- sediment size parameter --- rouse number --- mean concentration --- flow depth --- urban flood modeling --- porosity --- shallow-water model --- urban flood management --- flood forecasting --- weather radar --- integrated hydraulic modeling --- and evacuation lead time
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The adverse effects of flood disasters in urban areas have been increasing in severity and extent over the past years. The amount of loss resulting from these events is also increasing exponentially, particularly in highly urbanised urban areas, where the effects of intensive land use and climate change are particularly extreme—all despite that our scientific knowledge, technical competence, and computational capacity to develop highly sophisticated and accurate forecasting and simulation models are higher than ever, as is our capacity to map and analyse flood-related data. In order to tackle this global issue, it is fundamental to keep on promoting and developing fundamental and applied research that allows the better targeting of interventions to improve resilience, reduce vulnerability, and enhance recovery as well as assisting decision-makers in delivering more effective flood risk-reduction policies. This book aims to contribute to this goal by providing a space in which to share and discuss recent studies and state-of- the-art methodologies focused on the assessment and mitigation of flood risk in urban areas. It includes nine high-quality chapters authored by eminent scholars who had the tremendous generosity to join me in this editorial project. The range of topics covered by these nine studies is extraordinarily vast, reflecting the complexity of the current challenges associated with the topic.
History of engineering & technology --- integrated operation --- urban stream --- urban drainage facility --- revised resilience index --- flood --- 3Di --- loss assessment --- analytic hierarchy process (AHP) --- risk map --- climate change --- urban flood risk --- flood damage --- urban disaster --- land use --- flood risk susceptibility --- FRS-GWR modeling --- built-up growth prediction --- Thailand --- Light Detection and Ranging (LiDAR) --- HEC-RAS --- 2D modeling --- flood hazard --- urban and peri-urban area --- flood risk assessment --- flood evacuation --- evacuation modelling --- behavioral design --- urban built environment at risk --- human motion in floodwaters --- remote sensing --- flood extent mapping --- Can Tho City --- Google Earth engine --- uncertainty --- support vector machine regression (SVR) --- urban flood --- risk management --- Historic City Centre of Guimarães --- pluvial flood --- indirect impacts --- risk assessment --- graph analysis --- flood mitigation --- Mexico City --- integrated operation --- urban stream --- urban drainage facility --- revised resilience index --- flood --- 3Di --- loss assessment --- analytic hierarchy process (AHP) --- risk map --- climate change --- urban flood risk --- flood damage --- urban disaster --- land use --- flood risk susceptibility --- FRS-GWR modeling --- built-up growth prediction --- Thailand --- Light Detection and Ranging (LiDAR) --- HEC-RAS --- 2D modeling --- flood hazard --- urban and peri-urban area --- flood risk assessment --- flood evacuation --- evacuation modelling --- behavioral design --- urban built environment at risk --- human motion in floodwaters --- remote sensing --- flood extent mapping --- Can Tho City --- Google Earth engine --- uncertainty --- support vector machine regression (SVR) --- urban flood --- risk management --- Historic City Centre of Guimarães --- pluvial flood --- indirect impacts --- risk assessment --- graph analysis --- flood mitigation --- Mexico City
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The adverse effects of flood disasters in urban areas have been increasing in severity and extent over the past years. The amount of loss resulting from these events is also increasing exponentially, particularly in highly urbanised urban areas, where the effects of intensive land use and climate change are particularly extreme—all despite that our scientific knowledge, technical competence, and computational capacity to develop highly sophisticated and accurate forecasting and simulation models are higher than ever, as is our capacity to map and analyse flood-related data. In order to tackle this global issue, it is fundamental to keep on promoting and developing fundamental and applied research that allows the better targeting of interventions to improve resilience, reduce vulnerability, and enhance recovery as well as assisting decision-makers in delivering more effective flood risk-reduction policies. This book aims to contribute to this goal by providing a space in which to share and discuss recent studies and state-of- the-art methodologies focused on the assessment and mitigation of flood risk in urban areas. It includes nine high-quality chapters authored by eminent scholars who had the tremendous generosity to join me in this editorial project. The range of topics covered by these nine studies is extraordinarily vast, reflecting the complexity of the current challenges associated with the topic.
History of engineering & technology --- integrated operation --- urban stream --- urban drainage facility --- revised resilience index --- flood --- 3Di --- loss assessment --- analytic hierarchy process (AHP) --- risk map --- climate change --- urban flood risk --- flood damage --- urban disaster --- land use --- flood risk susceptibility --- FRS-GWR modeling --- built-up growth prediction --- Thailand --- Light Detection and Ranging (LiDAR) --- HEC-RAS --- 2D modeling --- flood hazard --- urban and peri-urban area --- flood risk assessment --- flood evacuation --- evacuation modelling --- behavioral design --- urban built environment at risk --- human motion in floodwaters --- remote sensing --- flood extent mapping --- Can Tho City --- Google Earth engine --- uncertainty --- support vector machine regression (SVR) --- urban flood --- risk management --- Historic City Centre of Guimarães --- pluvial flood --- indirect impacts --- risk assessment --- graph analysis --- flood mitigation --- Mexico City --- n/a --- Historic City Centre of Guimarães
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The adverse effects of flood disasters in urban areas have been increasing in severity and extent over the past years. The amount of loss resulting from these events is also increasing exponentially, particularly in highly urbanised urban areas, where the effects of intensive land use and climate change are particularly extreme—all despite that our scientific knowledge, technical competence, and computational capacity to develop highly sophisticated and accurate forecasting and simulation models are higher than ever, as is our capacity to map and analyse flood-related data. In order to tackle this global issue, it is fundamental to keep on promoting and developing fundamental and applied research that allows the better targeting of interventions to improve resilience, reduce vulnerability, and enhance recovery as well as assisting decision-makers in delivering more effective flood risk-reduction policies. This book aims to contribute to this goal by providing a space in which to share and discuss recent studies and state-of- the-art methodologies focused on the assessment and mitigation of flood risk in urban areas. It includes nine high-quality chapters authored by eminent scholars who had the tremendous generosity to join me in this editorial project. The range of topics covered by these nine studies is extraordinarily vast, reflecting the complexity of the current challenges associated with the topic.
integrated operation --- urban stream --- urban drainage facility --- revised resilience index --- flood --- 3Di --- loss assessment --- analytic hierarchy process (AHP) --- risk map --- climate change --- urban flood risk --- flood damage --- urban disaster --- land use --- flood risk susceptibility --- FRS-GWR modeling --- built-up growth prediction --- Thailand --- Light Detection and Ranging (LiDAR) --- HEC-RAS --- 2D modeling --- flood hazard --- urban and peri-urban area --- flood risk assessment --- flood evacuation --- evacuation modelling --- behavioral design --- urban built environment at risk --- human motion in floodwaters --- remote sensing --- flood extent mapping --- Can Tho City --- Google Earth engine --- uncertainty --- support vector machine regression (SVR) --- urban flood --- risk management --- Historic City Centre of Guimarães --- pluvial flood --- indirect impacts --- risk assessment --- graph analysis --- flood mitigation --- Mexico City --- n/a --- Historic City Centre of Guimarães
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This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.
Research & information: general --- Meteorology & climatology --- flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index
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This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.
flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index
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This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.
Research & information: general --- Meteorology & climatology --- flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index --- flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index
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This book brings together recent research related to urban resilience, in particular, taking into account climate change impacts and hydrological hazards. Due to the complexity of our cities, which are vulnerable and continuously evolving systems, urban resilience should be considered as a transversal and multi-sectorial issue, affecting different urban services, several hazards, and all the steps of the risk management cycle. Within this context, the different pieces of research that form this book deal with the topics of multi-risk and urban resilience assessment, analysis of cascading effects, and the proposal and prioritization of adaptation measures and strategies to cope with climate-related hazards through multi-criteria analysis.
Research & information: general --- RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders' validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies --- RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders' validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies
Listing 1 - 10 of 23 | << page >> |
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