Knowledge Agora



Scientific Article details

Title A systematic review of natural flood management modelling: Approaches, limitations, and potential solutions
ID_Doc 64256
Authors Hill, B; Liang, QH; Bosher, L; Chen, HL; Nicholson, A
Title A systematic review of natural flood management modelling: Approaches, limitations, and potential solutions
Year 2023
Published Journal Of Flood Risk Management, 16, 3
DOI 10.1111/jfr3.12899
Abstract The Pitt Review of the 2007 summer floods in the UK, published in 2008, commended the potential of natural flood management (NFM) for reducing flood risk. NFM is a nature-based approach that has since gained substantial interest from both practitioners and academics. The review further highlighted the need for catchment-based flood management (CBFM) to enhance resilience to flooding and climate change by incorporating NFM and wider nature-based solutions into hard flood protection systems. Such integrated approaches are considered to be more sustainable and adaptable than the traditional hard-engineered measures. More recently, the European Commission's European Green Deal also highlighted the need for greater use of nature-based solutions including NFM for managing flood risk. Whilst there have been many attempts to quantify the effects of NFM through hydraulic and hydrological modelling, there is still no systematic review conducted for these modelling works. This review aims to summarise the current NFM modelling approaches, as well as discussing their key limitations related to data, model methods, and real-world applications. This paper then goes further to highlight potential solutions to some of these challenges and provides guidance to assist modellers to improve future modelling and data collection process.
Author Keywords 1D-2D coupled modelling; 1D modelling; 2D modelling; low impact development; natural flood management; nature-based solutions; sustainable urban drainage systems
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000961984500001
WoS Category Environmental Sciences; Water Resources
Research Area Environmental Sciences & Ecology; Water Resources
PDF https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jfr3.12899
Similar atricles
Scroll