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Analysis of institutional authors

Gómez-Hernández, JjCorresponding AuthorCapilla, JeAuthor

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October 14, 2024
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Joint simulation of transmissivity and storativity fields conditional to steady-state and transient hydraulic head data

Publicated to:Advances In Water Resources. 23 (1): 1-13 - 1999-09-15 23(1), DOI: 10.1016/S0309-1708(99)00006-8

Authors: Franssen, HJH; Gómez-Hernández, JJ; Capilla, JE; Sahuquillo, A

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- Author

Abstract

The self-calibrated method has been extended for the generation of equally likely realizations of transmissivity and storativity conditional to transmissivity and storativity data and to steady-state and transient hydraulic head data. Conditioning to transmissivity and storativity data is achieved by means of standard geostatistical co-simulation algorithms, whereas conditioning to hydraulic head data, given its non-linear relation to transmissivity and storativity, is achieved through non-linear optimization, similar to standard inverse algorithms. The algorithm is demonstrated in a synthetic study based on data from the WIPP site in New Mexico. Seven alternative scenarios are investigated, generating 100 realizations for each of them. The differences among the scenarios range from the number of conditioning data, to their spatial configuration, to the pumping strategies at the pumping wells. In all scenarios, the self-calibrated algorithm is able to generate transmissivity-storativity realization couples conditional to all the sample data. For the specific case studied here the results are not surprising. Of the piezometric head data, the steady-state values are the most consequential for transmissivity characterization. Conditioning to transient head data only introduces local adjustments on the transmissivity fields and serves to improve the characterization of the storativity fields. (C) 1999 Elsevier Science Ltd. All rights reserved.

Keywords

Aquifer parametersConditioningGeostatisticsHeterogeneityInverse modelingNetwork desigNetwork designPiezometric datSelf-calibrated algorithmStochastic simulation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Advances In Water Resources 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, 1999, it was in position 7/46, thus managing to position itself as a Q1 (Primer Cuartil), in the category Water Resources.

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 2025-07-17:

  • WoS: 47
  • Scopus: 47

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 2025-07-17:

  • 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: 36 (PlumX).

Leadership analysis of institutional authors

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 (Franssen, HJH) and Last Author (Sahuquillo, A).

the author responsible for correspondence tasks has been Gómez Hernández, José Jaime.