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dc.contributor.author
Neder, Camila
dc.contributor.author
Sahade, Ricardo Jose
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Abele, Doris
dc.contributor.author
Pesch, Roland
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Jerosch, Kerstin
dc.date.available
2021-10-03T21:37:45Z
dc.date.issued
2020-12-08
dc.identifier.citation
Neder, Camila; Sahade, Ricardo Jose; Abele, Doris; Pesch, Roland; Jerosch, Kerstin; Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula; MDPI; Fluids; 5; 4; 8-12-2020; 1-22
dc.identifier.uri
http://hdl.handle.net/11336/142386
dc.description.abstract
The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder? species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guideline
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GEOSTATISTICAL INTERPOLATION
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BAYESIAN
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GLACIAL RUN-OFF
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SEDIMENT PLUME
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NEIGHBORHOOD ANALYSIS
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Geología
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
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Oceanografía, Hidrología, Recursos Hídricos
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-06T15:42:03Z
dc.identifier.eissn
2311-5521
dc.journal.volume
5
dc.journal.number
4
dc.journal.pagination
1-22
dc.journal.pais
Suiza
dc.description.fil
Fil: Neder, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
dc.description.fil
Fil: Sahade, Ricardo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
dc.description.fil
Fil: Abele, Doris. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
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Fil: Pesch, Roland. Jade University of Applied Sciences; Alemania
dc.description.fil
Fil: Jerosch, Kerstin. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
dc.journal.title
Fluids
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2311-5521/5/4/235
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/fluids5040235
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