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Relevance of spatio-temporal rainfall variability regarding groundwater management challenges under global change: case study in Doñana (SW Spain)

Publicated to:Stochastic Environmental Research And Risk Assessment. 34 (9): 1289-1311 - 2020-09-01 34(9), DOI: 10.1007/s00477-020-01771-7

Authors: Naranjo-Fernández N; Guardiola-Albert C; Aguilera H; Serrano-Hidalgo C; Rodríguez-Rodríguez M; Fernández-Ayuso A; Ruiz-Bermudo F; Montero-González E

Affiliations

CSIC-IGME - Instituto Geológico y Minero de España - Author
Universidad Complutense de Madrid - Author
Universidad Pablo de Olavide, de Sevilla - Author

Abstract

Rainfall is the major contribution for groundwater recharge in arid and semiarid climates, therefore a key factor in water resources estimation. This work presents the results of an in-depth study in Doñana National Park concerning groundwater recharge behavior over a long period (1975–2016). The spatio-temporal kriging algorithm was used as a supportive tool to improve the reconstruction of the spatio-temporal rainfall variability. One of the main findings was that monthly recharge estimations range between 21 and 91% of the maximum rainfall, being overestimated in areas that also demonstrate spatial heterogeneity in rainfall distribution. In the light of these results, for water management purposes in the Mediterranean area, rainfall spatio-temporal scale is a critical aspect and it must be taken into account in groundwater reservoir allocation. Moreover, it is highlighted that local studies of rainfall and recharge, in an area of high ecological fragility, are essential to developing management strategies that prevent climate change effects and guarantee optimal conditions for groundwater resources in the future.

Keywords
Global change impactsRainfall variabilitySpatio-temporal krigingWater resource management

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Stochastic Environmental Research And Risk Assessment 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, 2020, it was in position 18/125, thus managing to position itself as a Q1 (Primer Cuartil), in the category Statistics & Probability.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-05-02:

  • Scopus: 13
  • OpenCitations: 12
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 2025-05-02:

  • 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: 31 (PlumX).