[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management

LJ Slater, B Anderson, M Buechel… - Hydrology and Earth …, 2021 - hess.copernicus.org
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …

[HTML][HTML] A review of the current status of flood modelling for urban flood risk management in the developing countries

UC Nkwunonwo, M Whitworth, B Baily - Scientific African, 2020 - Elsevier
The prevalence of flooding events and the associated risk in the urban areas is an
increasingly important issue of global significance, although it is more critical for the …

[HTML][HTML] Urbanization impacts on flood risks based on urban growth data and coupled flood models

B Feng, Y Zhang, R Bourke - Natural Hazards, 2021 - Springer
Urbanization increases regional impervious surface area, which generally reduces
hydrologic response time and therefore increases flood risk. The objective of this work is to …

Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston

W Zhang, G Villarini, GA Vecchi, JA Smith - Nature, 2018 - nature.com
Category 4 landfalling hurricane Harvey poured more than a metre of rainfall across the
heavily populated Houston area, leading to unprecedented flooding and damage. Although …

[HTML][HTML] The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom

JD Miller, M Hutchins - Journal of Hydrology: Regional Studies, 2017 - Elsevier
Abstract Study region United Kingdom (UK). Study focus Climate change and urbanization
pose significant threats for flooding and water quality in urban areas. This paper reviews the …

[HTML][HTML] Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual …

T Lees, M Buechel, B Anderson, L Slater… - Hydrology and Earth …, 2021 - hess.copernicus.org
Long short-term memory (LSTM) models are recurrent neural networks from the field of deep
learning (DL) which have shown promise for time series modelling, especially in conditions …

Drought in a human-modified world: reframing drought definitions, understanding, and analysis approaches

AF Van Loon, K Stahl, G Di Baldassarre… - Hydrology and Earth …, 2016 - hess.copernicus.org
In the current human-modified world, or Anthropocene, the state of water stores and fluxes
has become dependent on human as well as natural processes. Water deficits (or droughts) …

Techniques for assessing water infrastructure for nonstationary extreme events: A review

JD Salas, J Obeysekera, RM Vogel - Hydrological Sciences …, 2018 - Taylor & Francis
Statistical and physically-based methods have been used for designing and assessing
water infrastructure such as spillways and stormwater drainage systems. Traditional …

Global changes in 20‐year, 50‐year, and 100‐year river floods

L Slater, G Villarini, S Archfield… - Geophysical …, 2021 - Wiley Online Library
Abstract Concepts like the 100‐year flood event can be misleading if they are not updated to
reflect significant changes over time. Here, we model observed annual maximum daily …

Adaptation to flood risk: Results of international paired flood event studies

H Kreibich, G Di Baldassarre, S Vorogushyn… - Earth's …, 2017 - Wiley Online Library
As flood impacts are increasing in large parts of the world, understanding the primary drivers
of changes in risk is essential for effective adaptation. To gain more knowledge on the basis …