Research data of the manuscript by Matan et al. [Dataset]

[EN] Soil represents an important storage of water, being an essential resource for plants in natural environments and agricultural landscapes. Additionally, soils are efficient filters that enable a certain percentage of precipitation to reach groundwater, providing an important hydrological resour...

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Bibliographic Details
Authors: Matan, Katarina, Krklec, Kristina, Aleksandra, Bensa, Domínguez Villar, David
Format: conjunto de datos
Publication Date:2025
Country:España
Institution:Universidad de Salamanca (USAL)
Repository:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/163754
Online Access:http://hdl.handle.net/10366/163754
Access Level:Open access
Keyword:FDR sensors
Terra Rossa
Croatia
Karst
Modeling
2506 Geología
id ES_32f5aa9e53dcac492d37931ca2bb4a2e
oai_identifier_str oai:gredos.usal.es:10366/163754
network_acronym_str ES
network_name_str España
repository_id_str
spelling Research data of the manuscript by Matan et al. [Dataset]Matan, KatarinaKrklec, KristinaAleksandra, BensaDomínguez Villar, DavidFDR sensorsTerra RossaCroatiaKarstModeling2506 Geología[EN] Soil represents an important storage of water, being an essential resource for plants in natural environments and agricultural landscapes. Additionally, soils are efficient filters that enable a certain percentage of precipitation to reach groundwater, providing an important hydrological resource to locations where surface water is not available. In this paper, soil water content (SWC) was monitored during two years to characterize the hydrological dynamics and quantify water resources. The studied soil is developed over a carbonate bedrock in the Mediterranean region of Croatia. The site has a classical red Mediterranean soil with high clay content and a calcic horizon composed of diffuse and nodule pedogenic carbonates. The hydrological monitoring along the soil profile was conducted using sensors based on frequency domain reflectometry (FDR) technology. However, soil characteristics resulted in factors other than SWC affecting the recorded signal. The measured SWC signals record short-term variability in response to precipitation events, although their absolute values and their long-term variability are unreliable. To improve the knowledge of the SWC dynamics at this site, a 1D hydrological model was implemented. Basic corrections were conducted to raw SWC signals to use measured data to calibrate the model. In average, the simulation explains 72% of the corrected SWC variability and properly reproduces the short-term variability measured by sensors, improving the original and corrected SWC signals. This research shows that even if FDR sensors provide unreliable data in problematic soils, the measured signals can still be used to calibrate hydrological models and to produce realistic simulated data.Croatian Science Foundation Nikola Tesla FoundationUniversidad de Salamanca202520252025info:eu-repo/semantics/datasetapplication/pdfhttp://hdl.handle.net/10366/163754reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Ingléshttps://dx.doi.org/10.2139/ssrn.5396894KADEME, IP-2018-01-7080Young Researchers’ Career Development Project – Training New Doctoral Students (DOK-2021-02-1788)Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1637542026-06-07T06:28:51Z
dc.title.none.fl_str_mv Research data of the manuscript by Matan et al. [Dataset]
title Research data of the manuscript by Matan et al. [Dataset]
spellingShingle Research data of the manuscript by Matan et al. [Dataset]
Matan, Katarina
FDR sensors
Terra Rossa
Croatia
Karst
Modeling
2506 Geología
title_short Research data of the manuscript by Matan et al. [Dataset]
title_full Research data of the manuscript by Matan et al. [Dataset]
title_fullStr Research data of the manuscript by Matan et al. [Dataset]
title_full_unstemmed Research data of the manuscript by Matan et al. [Dataset]
title_sort Research data of the manuscript by Matan et al. [Dataset]
dc.creator.none.fl_str_mv Matan, Katarina
Krklec, Kristina
Aleksandra, Bensa
Domínguez Villar, David
author Matan, Katarina
author_facet Matan, Katarina
Krklec, Kristina
Aleksandra, Bensa
Domínguez Villar, David
author_role author
author2 Krklec, Kristina
Aleksandra, Bensa
Domínguez Villar, David
author2_role author
author
author
dc.subject.none.fl_str_mv FDR sensors
Terra Rossa
Croatia
Karst
Modeling
2506 Geología
topic FDR sensors
Terra Rossa
Croatia
Karst
Modeling
2506 Geología
description [EN] Soil represents an important storage of water, being an essential resource for plants in natural environments and agricultural landscapes. Additionally, soils are efficient filters that enable a certain percentage of precipitation to reach groundwater, providing an important hydrological resource to locations where surface water is not available. In this paper, soil water content (SWC) was monitored during two years to characterize the hydrological dynamics and quantify water resources. The studied soil is developed over a carbonate bedrock in the Mediterranean region of Croatia. The site has a classical red Mediterranean soil with high clay content and a calcic horizon composed of diffuse and nodule pedogenic carbonates. The hydrological monitoring along the soil profile was conducted using sensors based on frequency domain reflectometry (FDR) technology. However, soil characteristics resulted in factors other than SWC affecting the recorded signal. The measured SWC signals record short-term variability in response to precipitation events, although their absolute values and their long-term variability are unreliable. To improve the knowledge of the SWC dynamics at this site, a 1D hydrological model was implemented. Basic corrections were conducted to raw SWC signals to use measured data to calibrate the model. In average, the simulation explains 72% of the corrected SWC variability and properly reproduces the short-term variability measured by sensors, improving the original and corrected SWC signals. This research shows that even if FDR sensors provide unreliable data in problematic soils, the measured signals can still be used to calibrate hydrological models and to produce realistic simulated data.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/163754
url http://hdl.handle.net/10366/163754
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://dx.doi.org/10.2139/ssrn.5396894
KADEME, IP-2018-01-7080
Young Researchers’ Career Development Project – Training New Doctoral Students (DOK-2021-02-1788)
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de Salamanca
publisher.none.fl_str_mv Universidad de Salamanca
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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