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Analysis of institutional authors

Mediero L.Corresponding AuthorSoriano Martín, EnriqueAuthorGarrote L.AuthorSantillán D.Author

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March 25, 2022
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Pluvial flooding: High-resolution stochastic hazard mapping in urban areas by using fast-processing DEM-based algorithms

Publicated to: JOURNAL OF HYDROLOGY. 608 127649- - 2022-05-01 608(), DOI: 10.1016/j.jhydrol.2022.127649

Authors:

Mediero, L; Soriano, E; Oria, P; Bagli, S; Castellarin, A; Garrote, L; Mazzoli, P; Mysiak, J; Pasetti, S; Persiano, S; Santill, D; Schroeter, K
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Affiliations

Agencia Estatal de Meteorología (AEMET) - Author
Agencia Estatal Meteorol AEMET, Pamplona 31004, Spain - Author
Alma Mater Studiorum Universita di Bologna - Author
Ca Foscari Univ Venice, CMCC Euro Mediterranean Ctr Climate Change, I-30175 Venice, Italy - Author
Deutsches GeoForschungsZentrum (GFZ) - Author
GECOsistema Srl - Author
GECOsistema Srl, I-47921 Rimini, Italy - Author
German Res Ctr Geosci GFZ, Sect Hydrol, Potsdam, Germany - Author
MEEO Meteorol Environm Earth Observat, I-44123 Ferrara, Italy - Author
MEEO Meteorological Environmental Earth Observation - Author
Univ Bologna, Dept Civil Chem Environm & Mat Engn DICAM, I-40136 Bologna, Italy - Author
Univ Politecn Madrid, Dept Civil Engn Hydraul Energy & Environm, Madrid 28040, Spain - Author
Universidad Politécnica de Madrid - Author
Università Ca' Foscari Venezia - Author
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Abstract

Climate change and rapid expansion of urban areas are expected to increase pluvial flood hazard and risk in the near future, and particularly so in large developed areas and cities. Therefore, large-scale and high-resolution pluvial flood hazard mapping is required to identify hotspots where mitigation measures may be applied to reduce flood risk. Depressions or low points in urban areas where runoff volumes can be stored are prone to pluvial flooding. The standard approach based on estimating synthetic design hyetographs assumes, in a given depression, that the T-year design storm generates the T-year pluvial flood. In addition, urban areas usually include several depressions even linked or nested that would require distinct design hyetographs instead of using a unique synthetic design storm. In this paper, a stochastic methodology is proposed to address the limitations of this standard approach, developing large-scale ∼ 2 m-resolution pluvial flood hazard maps in urban areas with multiple depressions. The authors present an application of the proposed approach to the city of Pamplona in Spain (68.26 km2). The Safer_RAIN fast-processing algorithm based on digital elevation models (DEMs) is compared with the IBER 2D hydrodynamic model in four real storms by using 10-min precipitation fields. Precipitation recorded at rainfall-gauging stations was merged with continuous fields obtained from a meteorological radar station. Given the hydrostatic limitations of Safer_RAIN, the benchmarking results are adequate in terms of water depths in depressions. A long set of 10 000 synthetic storms that maintain the statistical properties of observations in Pamplona is generated. Safer_RAIN is used to simulate runoff response, and filling and spilling processes, in depressions for the 10 000 synthetic storms, obtaining the probability distribution of water depths in each cell. Maps of pluvial flood hazards are developed in the Pamplona metropolitan area for 10 return periods in the range from two to 500 years from such pixel-based series of simulated water depths. Bivariate return-period curves are estimated in a set of cells, showing that several storms can generate a given T-year pluvial flood with an increasing precipitation with storm duration that depends on the draining catchment soil characteristics. The methodology proposed is useful to develop maps of pluvial flood hazards in large multi-depression urban areas in reasonable computation times, identifying the main pluvial flood hotspots.
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Keywords

bivariate return periodsclimate-changeflood hazard mappinginundationmapsmodelpart ipeakrapid flood modelrisksafer_raintimeurban areaswaterBivariate return periodsFlood hazard mappingPluvial floodsRapid flood modelReturn periodSafer_rainUrban areas

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF HYDROLOGY due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 15/202, thus managing to position itself as a Q1 (Primer Cuartil), in the category Geosciences, Multidisciplinary. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 2.21. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.78 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-27, the following number of citations:

  • WoS: 24
  • Scopus: 27
  • Google Scholar: 15
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 114.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 113 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.
  • The number of mentions on the social network X (formerly Twitter): 5 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85887/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 132
  • Downloads: 21
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Germany; Italy.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MEDIERO ORDUÑA, LUIS JESUS) .

the author responsible for correspondence tasks has been MEDIERO ORDUÑA, LUIS JESUS.

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