[HTML][HTML] Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions
The knowledge about potential flood damage is a key issue for disaster risk reduction.
However, the scarcity of empirical data has limited flood damage modelling in several …
However, the scarcity of empirical data has limited flood damage modelling in several …
Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
Since flood frequency increases with the impact of climate change, the damage that is
emphasized on flood-risk maps is based on actual flooded area data; therefore, flood …
emphasized on flood-risk maps is based on actual flooded area data; therefore, flood …
[HTML][HTML] A generic physical vulnerability model for floods: review and concept for data-scarce regions
The use of different methods for physical flood vulnerability assessment has evolved over
time, from traditional single-parameter stage–damage curves to multi-parameter approaches …
time, from traditional single-parameter stage–damage curves to multi-parameter approaches …
Flood susceptibility assessment by using bivariate statistics and machine learning models-a useful tool for flood risk management
R Costache - Water Resources Management, 2019 - Springer
In Romania, as in the rest of the world, the flood frequency has increased considerably.
Prahova river basin is among the most exposed catchments of the country to flood risk. It …
Prahova river basin is among the most exposed catchments of the country to flood risk. It …
[HTML][HTML] An approach for measuring social vulnerability in context: The case of flood hazards in Muzarabani district, Zimbabwe
Understanding the complexity of vulnerability to disasters, including those triggered by
floods, droughts and epidemics is at the heart of disaster risk reduction. Despite its …
floods, droughts and epidemics is at the heart of disaster risk reduction. Despite its …
Assessing urban areas vulnerability to pluvial flooding using GIS applications and Bayesian Belief Network model
Expected increases in intensity and frequency of rainfall extremes due to climate change,
and increased paving and loss of water storage space in urban areas is making cities more …
and increased paving and loss of water storage space in urban areas is making cities more …
Component-based flood vulnerability modelling for cultural heritage buildings
Flooding is among the most common and damaging natural hazards at the global level,
which has prompted governments and international institutions to adopt measures towards …
which has prompted governments and international institutions to adopt measures towards …
Climate change risk assessment: A holistic multi-stakeholder methodology for the sustainable development of cities
Cities are at risk due to global climate change, increasing both the frequency and the
intensity of storms and extreme precipitation, sea-level rise, and other extreme weather …
intensity of storms and extreme precipitation, sea-level rise, and other extreme weather …
A framework for the simplified risk analysis of cultural heritage assets
X Romão, E Paupério, N Pereira - Journal of Cultural Heritage, 2016 - Elsevier
A simplified risk assessment framework specifically developed for built immovable cultural
heritage assets is proposed. The framework addresses all the components in a risk analysis …
heritage assets is proposed. The framework addresses all the components in a risk analysis …
Risk and sustainability assessment framework for decision support in'water scarcity–water reuse'situations
Decision-makers face major challenges when trying to reduce risks of water scarcity
sustainably through measures of water reuse. One of these challenges is the lack of …
sustainably through measures of water reuse. One of these challenges is the lack of …