Flood hazard map** (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …

Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

Sustainable goals are achieved by utilizing private firms' investment in renewable energy
sources. Globally, the demand for alternative sources of Renewable Energy (RE) and green …

Flood quantile estimation at sites with little or no data is important for the adequate planning
and management of water resources. Regional Hydrological Frequency Analysis (RFA) …

Accurately analyzing flood frequency is crucial for develo** effective flood management
strategies and designing flood protection infrastructure, but the complex and nonlinear …

In flood frequency analysis (FFA), annual maximum (AM) model is widely adopted in
practice due to its straightforward sampling process. However, AM model has been criticized …

Floods are one of the most common natural disasters that occur frequently causing massive
damage to property, agriculture, economy and life. Flood prediction offers a huge challenge …

The most direct method of design flood estimation is at-site flood frequency analysis, which
relies on a relatively long period of recorded streamflow data at a given site. Selection of an …

Projections of future changes to flood risk resulting from the combined effects of natural
climate variability and anthropogenic climate change typically have high uncertainty, due to …

Abstract Study region Southeast Australia Study focus This study examines identification of
homogeneous regions for regional flood frequency analysis (RFFA) using 201 gauged …