Spatially coherent statistical simulation of widespread flooding events under climate change
Simulating rare widespread hydrological events can be difficult even with the use of
modelled data such as the UKCP18 12 km regional climate projections. To generate larger …
modelled data such as the UKCP18 12 km regional climate projections. To generate larger …
Flood risk assessment through large-scale modeling under uncertainty
The complexity of flood risk models is intrinsically linked to a variety of sources of uncertainty
(hydrology, hydraulics, exposed assets, vulnerability, coping capacity, etc.) that affect the …
(hydrology, hydraulics, exposed assets, vulnerability, coping capacity, etc.) that affect the …
Solving the Discretised Shallow Water Equations Using Neural Networks
B Chen, A Nadimy, CE Heaney… - Available at SSRN …, 2024 - papers.ssrn.com
We present a new approach to the discretisation and solution of the Shallow Water
Equations based on the finite element (FE) method. The discretisation is expressed as the …
Equations based on the finite element (FE) method. The discretisation is expressed as the …
[PDF][PDF] Extreme Weather and Climate Hazard Impacts on Energy and Water Utilities
K Van Abel, A Tingstad, R Ali, C FORAN, BE Lachman… - 2024 - rand.org
A changing climate and extreme weather are increasingly concerning for military installation
resilience. In recent years, extreme weather events have caused billions of dollars in …
resilience. In recent years, extreme weather events have caused billions of dollars in …
A Mixed-Methodology Study of Insurers' Withdrawal from California's Home Insurance Market Amidst the Wildfire Crisis
MI Almuhana - 2024 - search.proquest.com
This dissertation investigates the impact of wildfire hazards on California's home insurance
market, addressing the subsequent withdrawal of insurers and the utilization of the FAIR …
market, addressing the subsequent withdrawal of insurers and the utilization of the FAIR …
[PDF][PDF] Uncertainty quantification and attribution in flood risk modelling
G Sarailidis - 2023 - research-information.bris.ac.uk
Flood risk models are used to help manage the financial and societal risks associated with
floods. They quantify risk (usually in terms of flood losses) by modelling the underlying …
floods. They quantify risk (usually in terms of flood losses) by modelling the underlying …
[PDF][PDF] corrected Proof
A Griffin, A Kaya, E Stewarta, P Sayersb - 2022 - scholar.archive.org
Simulating rare widespread hydrological events can be difficult even with the use of
modelled data such as the UKCP18 12 km regional climate projections. To generate larger …
modelled data such as the UKCP18 12 km regional climate projections. To generate larger …
A comparison of groundwater level estimation methods
LP Dekker - 2023 - essay.utwente.nl
Inundation models, which serve to estimate the risk of damage as a result of pluvial floods,
rely on a large number of input parameters. One of the most important ones is available soil …
rely on a large number of input parameters. One of the most important ones is available soil …
[PDF][PDF] ANALISI POST-EVENTO IN AMBITO ASSICURATIVO: IL CASO DELL'ALLUVIONE IN EMILIA-ROMAGNA DEL MAGGIO 2023
DIS Persiano, A Domeneghetti, A Castellarin - amslaurea.unibo.it
Negli ultimi decenni, gli eventi naturali estremi sono diventati sempre più frequenti,
determinando ingenti danni dal punto di vista economico e sociale. La European …
determinando ingenti danni dal punto di vista economico e sociale. La European …