Modelling and Forecasting Processes in Urban Environments: Particularly in the UK and China

The modelling and forecasting of the impact of extreme rainfall events in urban environments is becoming increasingly challenging as historical tools have been found to need refinement to acquire improved flood risk predictions for river and coastal basins. This article discusses some of the key challenges faced by flood modellers addressing the growing effects of climate change, with the key findings reported in this article being that (i) improved flood models are needed for accurately predicting extreme flood elevations and inundation extents through the inclusion of shock-capturing algorithms; (ii) improved flood hazard risk formulae are need to predict the stability and vulnerability of vehicles and people in extreme flood events; and (iii) assessing the impact of floods on water quality in river and coastal basins can only be delivered accurately when storm events are modelled holistically from the source to sea (S2S), with a systems-based approach to dynamically integrate surface and sub-surface flows etc.

Authors

Institutions

Publication Details

Journal
Hydrology
Published
2025-04-03
DOI
https://doi.org/10.3390/hydrology12040082
Citations
2
Primary Topic
Evaluation Methods in Various Fields
Type
article
Field-Weighted Citation Impact
3.68

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling and Forecasting Processes in Urban Environments: Particularly in the UK and China

Roger A. Falconer
2 citations
Hydrology
Evaluation Methods in Various Fields
3.68
article

Modelling and Forecasting Processes in Urban Environments: Particularly in the UK and China

Roger A. Falconer
article en
2 citations

Abstract

The modelling and forecasting of the impact of extreme rainfall events in urban environments is becoming increasingly challenging as historical tools have been found to need refinement to acquire improved flood risk predictions for river and coastal basins. This article discusses some of the key challenges faced by flood modellers addressing the growing effects of climate change, with the key findings reported in this article being that (i) improved flood models are needed for accurately predicting extreme flood elevations and inundation extents through the inclusion of shock-capturing algorithms; (ii) improved flood hazard risk formulae are need to predict the stability and vulnerability of vehicles and people in extreme flood events; and (iii) assessing the impact of floods on water quality in river and coastal basins can only be delivered accurately when storm events are modelled holistically from the source to sea (S2S), with a systems-based approach to dynamically integrate surface and sub-surface flows etc.

HydrologyVol. 12(4)
Hohai University (CN), Cardiff University (GB)
Royal Academy of Engineering, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Natural Environment Research Council
Openalex Percentile: Top 9%
Evaluation Methods in Various Fields
3.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modelling and Forecasting Processes in Urban Environments: Particularly in the UK and China — Roger A. Falconer · Hydrology (2025) | TGRS Research Map | TGRS