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Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review

1
Geological Hazards Division, Geological Survey of Spain (IGME), 28003 Madrid, Spain
2
Department of Geodynamics, Stratigraphy and Paleontology, Complutense University of Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Associated Researcher to IMDEA-Water.
Water 2020, 12(7), 2050; https://doi.org/10.3390/w12072050
Received: 22 May 2020 / Revised: 4 July 2020 / Accepted: 16 July 2020 / Published: 18 July 2020
(This article belongs to the Special Issue Flood Risk Assessments: Applications and Uncertainties)
Studies looking at flood risk analysis and assessment (FRA) reviews are not customary, and they usually approach to methodological and spatial scale issues, uncertainty, mapping or economic damage topics. However, most of these reviews provide a snapshot of the scientific state of the art of FRA that shows only a partial view, focused on a limited number of selected methods and approaches. In this paper, we apply a bibliometric analysis using the Web of Science (WoS) database to assess the historic evolution and future prospects (emerging fields of application) of FRA. The scientific production of FRA has increased considerably in the past decade. At the beginning, US researchers dominated the field, but now they have been overtaken by the Chinese. The Netherlands and Germany may be highlighted for their more complete analyses and assessments (e.g., including an uncertainty analysis of FRA results), and this can be related to the presence of competitive research groups focused on FRA. Regarding FRA fields of application, resilience analysis shows some growth in recent years while land planning, risk perception and risk warning show a slight decrease in the number of papers published. Global warming appears to dominate part of future FRA production, which affects both fluvial and coastal floods. This, together with the improvement of economic evaluation and psycho-social analysis, appear to be the main trends for the future evolution of FRA. Finally, we cannot ignore the increase in analysis using big data analysis, machine learning techniques, and remote sensing data (particularly in the case of UAV sensors data). View Full-Text
Keywords: flood risk analysis; flood risk assessment; flood damage uncertainty; flood hazard; flood vulnerability flood risk analysis; flood risk assessment; flood damage uncertainty; flood hazard; flood vulnerability
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MDPI and ACS Style

Díez-Herrero, A.; Garrote, J. Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review. Water 2020, 12, 2050.

AMA Style

Díez-Herrero A, Garrote J. Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review. Water. 2020; 12(7):2050.

Chicago/Turabian Style

Díez-Herrero, Andrés; Garrote, Julio. 2020. "Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review" Water 12, no. 7: 2050.

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