Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archivio della ricer...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
CATENA
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
versions View all 4 versions
addClaim

Geomorphic Flood Index 2.0: Enhanced Tools for Delineating Flood-Prone Areas in Data-Scarce Regions

Authors: Manfreda S.; Saavedra Navarro; J. Albertini; C. Zhuang; R. Pacia; F. D. Chaturvedi; S. Samela;

Geomorphic Flood Index 2.0: Enhanced Tools for Delineating Flood-Prone Areas in Data-Scarce Regions

Abstract

In recent years, significant advancements in geomorphic methods have provided a valuable and cost-effective alternative for large-scale flood mapping. The Geomorphic Flood Index (GFI) is one such method that has gained widespread adoption for flood delineation applications. The development of the GFI plug-in for QGIS has helped to disseminate this approach, boosting its popularity. The GFI is derived from digital elevation models (DEMs), and its current formulation performs well in several hydrological contexts. However, certain limitations can affect its usability and reliability. For example, near confluences, floodwater does not always follow river connectivity patterns strictly, and secondary tributary floodplains may be partially submerged due to the backflow from the mainstream. To address these issues, a new procedure built on the GFI method (GFI 2.0) has been developed, which explicitly accounts for confluences and backwater effects. The GFI 2.0 has been tested in the Bradano River basin in southern Italy and evaluated using two-dimensional hydrodynamic simulations. In addition, a recently developed method for accounting for floodwater transfers from the main river to adjacent flat coastal areas can be implemented. This enhanced approach improves the robustness of the index and enables more reliable flood mapping, even in complex environments such as large alluvial valleys. It also increases the reliability of flood depth estimations produced using this method.

Country
Italy
Related Organizations
Keywords

flood mapping, river confluences, DEM-based methods, morphology, Geomorphic Flood Index (GFI), flood mapping, DEM-based methods, Geomorphic Flood Index (GFI), morphology, river confluences

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid