In-Situ Estimation of Soil Water Retention Curve in Silt Loam and Loamy Sand Soils at Different Soil Depths.
field capacity
matric potential
parametric models
permanent wilting
soil water content
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Jan 2021
10 Jan 2021
Historique:
received:
10
12
2020
revised:
02
01
2021
accepted:
07
01
2021
entrez:
13
1
2021
pubmed:
14
1
2021
medline:
14
1
2021
Statut:
epublish
Résumé
The soil water retention curve (SWRC) shows the relationship between soil water (θ) and water potential (ψ) and provides fundamental information for quantifying and modeling soil water entry, storage, flow, and groundwater recharge processes. While traditionally it is measured in a laboratory through cumbersome and time-intensive methods, soil sensors measuring in-situ θ and ψ show strong potential to estimate in-situ SWRC. The objective of this study was to estimate in-situ SWRC at different depths under two different soil types by integrating measured θ and ψ using two commercial sensors: time-domain reflectometer (TDR) and dielectric field water potential (e.g., MPS-6) principles. Parametric models were used to quantify θ-ψ relationships at various depths and were compared to laboratory-measured SWRC. The results of the study show that combining TDR and MPS-6 sensors can be used to estimate plant-available water and SWRC, with a mean difference of -0.03 to 0.23 m
Identifiants
pubmed: 33435201
pii: s21020447
doi: 10.3390/s21020447
pmc: PMC7826571
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Natural Sciences and Engineering Research Council of Canada
ID : RGPIN-2014-4100
Organisme : Ontario Ministry of Economic Development, Job Creation and Trade
ID : ER17-13-052
Références
Sensors (Basel). 2016 Aug 05;16(8):
pubmed: 27527185
Sci Total Environ. 2018 Mar 15;618:112-120
pubmed: 29127868