Using newly digitised sea-level data for the ports of Southampton (1935–2005) and Portsmouth (1961–2005) on the south coast of the UK, this study investigates the relationship between the 100 highest sea-level events recorded at the two cities and the incidence of coastal floods in the...

The return periods and occurrence probabilities related to medium and large earthquakes (M <Subscript> w </Subscript> 4.0–7.0) in four seismic zones in northeast India and adjoining region (20°–32°N and 87°–100°E) have been estimated with the help of well-known extreme value theory using three methods given...</subscript>

Extreme sea-level events (e.g. caused by storm surges) can cause coastal flooding, and considerable disruption and damage. To understand the impacts or hazards expected by different sea levels, waves and defence failures, it is useful to monitor and analyse coastal flood events, including...

A regularized joint inverse procedure is presented and used to estimate the magnitude of extreme rainfall events in ungauged coastal river basins of El Salvador: Paz, Jiboa, Grande de San Miguel, and Goascoran. Since streamflow measurements reflect temporal and spatial rainfall information,...

Since 1968 homeowners’ flood insurance in the United States has been mainly provided through the federally-run National Flood Insurance Program (NFIP), which as of December 2012 had 5.55 million NFIP policies-in-force nationwide with a total of $1.28 trillion of insured coverage (Michel-Kerjan...

Many natural records exhibit long-term correlations characterized by a power-law decay of the auto-correlation function, C(s)∼s−γ, with time lag s and correlation exponent 0γ1. We study, how the presence of such correlations affects the statistics of the return intervals rq for events...

The basic assumption of common extreme value statistics is that different events in a time record are uncorrelated. In this case, the return intervals rq of events above a given threshold size q are uncorrelated and follow the Poisson distribution. In recent years there is growing evidence that...

The vulnerability index presented in this paper is a tool to measure the vulnerability of different city areas related to flooding. The index is applied to the boroughs of the City of Hamburg. The city faces three different kinds of flood risks: storm surges, inland flooding and heavy rainfall....

The vulnerability index presented in this paper is a tool to measure the vulnerability of different city areas related to flooding. The index is applied to the boroughs of the City of Hamburg. The city faces three different kinds of flood risks: storm surges, inland flooding and heavy rainfall....