Nothing Special   »   [go: up one dir, main page]

Candela et al., 2017 - Google Patents

Probabilistic flood hazard mapping using bivariate analysis based on copulas

Candela et al., 2017

View HTML
Document ID
7574177309591314243
Author
Candela A
Aronica G
Publication year
Publication venue
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

External Links

Snippet

This study presents a methodology to extract probabilistic flood hazard maps in an area subject to flood risk, taking into account uncertainties in the definition of design hydrographs. Particularly, the authors present a new method to produce probabilistic inundation and flood …
Continue reading at ascelibrary.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Zahmatkesh et al. Analysis of the effects of climate change on urban storm water runoff using statistically downscaled precipitation data and a change factor approach
Candela et al. Probabilistic flood hazard mapping using bivariate analysis based on copulas
Kim et al. Climate change impacts on water resources in the upper blue Nile River Basin, Ethiopia 1
Neal et al. Probabilistic flood risk mapping including spatial dependence
Alfieri et al. Advances in pan‐European flood hazard mapping
Bashiri-Atrabi et al. Application of harmony search algorithm to reservoir operation optimization
Lindenschmidt et al. Ice‐jam flood risk assessment and mapping
Anarde et al. Impacts of hurricane storm surge on infrastructure vulnerability for an evolving coastal landscape
Aronica et al. Probabilistic evaluation of flood hazard in urban areas using Monte Carlo simulation
Kourgialas et al. A hydro‐economic modelling framework for flood damage estimation and the role of riparian vegetation
Kim et al. Dam-break flood model uncertainty assessment: case study of extreme flooding with multiple dam failures in Gangneung, South Korea
Kumar Mishra et al. Assessment of future floods in the Bagmati River Basin of Nepal using bias-corrected daily GCM precipitation data
Yigzaw et al. Impact of artificial reservoir size and land use/land cover patterns on probable maximum precipitation and flood: Case of Folsom Dam on the American River
Nakaegawa et al. Discharge of major global rivers in the late 21st century climate projected with the high horizontal resolution MRI‐AGCMs
Masoero et al. Reconstruction and analysis of the Po River inundation of 1951
Onyutha Influence of hydrological model selection on simulation of moderate and extreme flow events: a case study of the Blue Nile basin
Das et al. Ice-jam flood risk assessment and hazard mapping under future climate
Jenkins et al. A probabilistic analysis of surface water flood risk in London
Babovic et al. The development of adaptation pathways for the long‐term planning of urban drainage systems
Lopes et al. Evaluation of future estuarine floods in a sea level rise context
Ferguson et al. The potential for natural flood management to maintain free discharge at urban drainage outfalls
Mohanty et al. Regionalized design rainfall estimation: an appraisal of inundation mapping for flood management under data-scarce situations
Pedersen et al. Climate change‐induced impacts on urban flood risk influenced by concurrent hazards
Habete et al. Potential impacts of sea-level rise and land-use change on special flood hazard areas and associated risks
Zhou et al. Optimising the combination strategies for pipe and infiltration‐based low impact development measures using a multiobjective evolution approach