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Thomas Kjeldsen

Researcher at University of Bath

Publications -  125
Citations -  5036

Thomas Kjeldsen is an academic researcher from University of Bath. The author has contributed to research in topics: Flood myth & 100-year flood. The author has an hindex of 31, co-authored 114 publications receiving 3907 citations. Previous affiliations of Thomas Kjeldsen include Engineering and Physical Sciences Research Council & Technical University of Denmark.

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Improving the FEH statistical procedures for flood frequency estimation: Science Report: SC050050

TL;DR: In this paper, the authors proposed a new regression model for estimating the median annual maximum flood (QMED) at ungauged catchments, and an improved procedure for the use of donor catchments for estimation of QMED, which produced lower estimates than the FEH in the East of England, whereas increases in both quantities were generally observed in West England, Wales and Scotland.
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Stationary vs non-stationary modelling of flood frequency distribution across northwest England

TL;DR: A number of extraordinary flood events occurred recently in northwest England, with several severe floods in Cumbria, Lancashire and the Manchester area in 2004, 2009 and 2015 as discussed by the authors.
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Accounting for soil moisture in rainfall-runoff modelling of urban areas

TL;DR: In this article, two new conceptual representations (models) are introduced to account for hydrological effects of urban land including the introduction of a dynamic link between runoff and soil moisture.
Book

Review of applied-statistical methods for flood-frequency analysis in Europe

TL;DR: The main objective of the COST Action ES0901 European procedure for flood frequency estimation (FloodFreq, http://www.cost-floodfreq.eu/), which started in 2010, is to undertake a pan-European comparison and evaluation of methods for flooding frequency estimation under various climatologic and geographic conditions found in Europe, and different levels of data availability, as required by European Flood Directive (2007/60/EC) as discussed by the authors.
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Incorporating sedimentological data in UK flood frequency estimation

TL;DR: In this paper, a new analytical framework for combining historical flood data derived from sedimentological records with instrumental river flow data to increase the reliability of============flood risk assessments is presented. But, the results from this study are compared to results obtained using existing industry standard  methods based solely on instrumental data, and the comparison shows that inclusion of======sedimentological data can have an important impact on flood risk estimates.