Assessing soil water content variability through active heat distributed fiber optic temperature sensing

Zubelzu Mínguez, Sergio and Rodríguez Sinobas, Leonor and Saa Requejo, Antonio and Benitez Buelga, Javier and Tarquis Alfonso, Ana Maria (2019). Assessing soil water content variability through active heat distributed fiber optic temperature sensing. "Agricultural Water Management", v. 212 ; pp. 193-202. ISSN 0378-3774. https://doi.org/10.1016/j.agwat.2018.08.008.

Description

Title: Assessing soil water content variability through active heat distributed fiber optic temperature sensing
Author/s:
  • Zubelzu Mínguez, Sergio
  • Rodríguez Sinobas, Leonor
  • Saa Requejo, Antonio
  • Benitez Buelga, Javier
  • Tarquis Alfonso, Ana Maria
Item Type: Article
Título de Revista/Publicación: Agricultural Water Management
Date: February 2019
ISSN: 0378-3774
Volume: 212
Subjects:
Freetext Keywords: Multiscaling analysis; Generalized structure function; Soil moisture variability; Fiber optic cable; Statistical moments; Fluctuations
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Ingeniería Agroforestal
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Soil spatial variability is a key point for the sustainable water management in agriculture. Fractal techniques provide proper tools to analyze soil spatial variability searching for statistical self-similarity patterns among different scales. Although they have been extensively applied to study the soil properties variability, its applicability for the soil water content (SWC) distribution is complicated because requires many data difficult to obtain with the typical point soil water sensors. Recently, a fiber optic distributed temperature sensor has been used to measure soil thermal properties which relate to SWC. These sensors provide large amount of data with high spatial and temporal resolution, thus filling the gap of point soil water sensors. In the present work, soil temperature was measured with a Distributed Temperature Sensing (DTS) and SWC was estimated by different fitting functions which have been studied with focus on spatial variability. Temperature was measured in a 133 m fiber optic cable laid in a sandy soil field plot. A The Active Heat Fiber Optic (AHFO) method was used, with 12 cm sampling resolution, and heat pulses (19,4 W/m during 2 min) were applied. The temperature data were correlated to SWC, considering the integration of temperature during the heat pulse Tcum, and then the datasets Tcum-SWC were fitted to the best fit statistical function (exponential, potential and polynomial). The results showed that the Tcum distribution presented a non-Gaussian pattern. Additionally, highly anti-persistent patterns have been detected for the larger spatial scaling lags. The function`s performance was different thus, the exponential function reproduced better the absolute moments of the temperature profile but it failed reproducing the non-Gaussian behavior.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainAGL2004-01689UnspecifiedJuana Sirgado, LuisCaracterización hidráulica y simulación de sistemas de distribución de riego a presión

More information

Item ID: 64085
DC Identifier: http://oa.upm.es/64085/
OAI Identifier: oai:oa.upm.es:64085
DOI: 10.1016/j.agwat.2018.08.008
Official URL: https://doi.org/10.1016/j.agwat.2018.08.008
Deposited by: Memoria Investigacion
Deposited on: 08 Oct 2020 08:35
Last Modified: 08 Oct 2020 08:35
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