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Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate
The irrigation of extensive green roofs with recycled or saline water could contribute to the conservation of valuable drinking water supplies. In such cases, the continuous monitoring of substrate electrical conductivity (EC(sw)) is of immense importance for the sustainable growth of the plants gro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346240/ https://www.ncbi.nlm.nih.gov/pubmed/37447651 http://dx.doi.org/10.3390/s23135802 |
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author | Kargas, Georgios Ntoulas, Nikolaos Tsapatsouli, Andreas |
author_facet | Kargas, Georgios Ntoulas, Nikolaos Tsapatsouli, Andreas |
author_sort | Kargas, Georgios |
collection | PubMed |
description | The irrigation of extensive green roofs with recycled or saline water could contribute to the conservation of valuable drinking water supplies. In such cases, the continuous monitoring of substrate electrical conductivity (EC(sw)) is of immense importance for the sustainable growth of the plants growing on the green roof. The present study aimed to estimate the EC(sw) (pore water EC) of an extensive green roof substrate in lysimeters with the use of the WET-2 dielectric sensor. Half of the 48 lysimeters that simulated extensive green roofs had a substrate depth of 7.5 cm, while the other half had a 15 cm substrate depth. The warm season turfgrass Paspalum vaginatum ‘Platinum TE’ was established at the lysimeters, and during the summer period, it was irrigated every two days at a rate of 14 mm with NaCl solutions of various electrical conductivities (EC(i)): (a) 3 dS m(−1), (b) 6 dS m(−1), and (c) 12 dS m(−1), while potable water of 0.3 dS m(−1) EC(i) served as the control. The relation between bulk electrical conductivity, σ(b), and bulk dielectric permittivity, ε(b), of the substrate was observed to be linear for all EC(i) levels up to σ(b) values of 2–2.5 dS m(−1). The EC(sw) was predicted by employing the salinity index method which was modified to be applied to the particular case of a green roof substrate. Knowing the salinity index and organic portion (%, v/v) for a given green roof substrate, we could calculate the EC(sw). It was found that the use of the salinity index method predicts reliably the EC(sw) up to 10–11 dS m(−1), while the method overestimates EC(sw) at very low levels of electrical conductivity. |
format | Online Article Text |
id | pubmed-10346240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103462402023-07-15 Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate Kargas, Georgios Ntoulas, Nikolaos Tsapatsouli, Andreas Sensors (Basel) Article The irrigation of extensive green roofs with recycled or saline water could contribute to the conservation of valuable drinking water supplies. In such cases, the continuous monitoring of substrate electrical conductivity (EC(sw)) is of immense importance for the sustainable growth of the plants growing on the green roof. The present study aimed to estimate the EC(sw) (pore water EC) of an extensive green roof substrate in lysimeters with the use of the WET-2 dielectric sensor. Half of the 48 lysimeters that simulated extensive green roofs had a substrate depth of 7.5 cm, while the other half had a 15 cm substrate depth. The warm season turfgrass Paspalum vaginatum ‘Platinum TE’ was established at the lysimeters, and during the summer period, it was irrigated every two days at a rate of 14 mm with NaCl solutions of various electrical conductivities (EC(i)): (a) 3 dS m(−1), (b) 6 dS m(−1), and (c) 12 dS m(−1), while potable water of 0.3 dS m(−1) EC(i) served as the control. The relation between bulk electrical conductivity, σ(b), and bulk dielectric permittivity, ε(b), of the substrate was observed to be linear for all EC(i) levels up to σ(b) values of 2–2.5 dS m(−1). The EC(sw) was predicted by employing the salinity index method which was modified to be applied to the particular case of a green roof substrate. Knowing the salinity index and organic portion (%, v/v) for a given green roof substrate, we could calculate the EC(sw). It was found that the use of the salinity index method predicts reliably the EC(sw) up to 10–11 dS m(−1), while the method overestimates EC(sw) at very low levels of electrical conductivity. MDPI 2023-06-21 /pmc/articles/PMC10346240/ /pubmed/37447651 http://dx.doi.org/10.3390/s23135802 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kargas, Georgios Ntoulas, Nikolaos Tsapatsouli, Andreas Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title | Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title_full | Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title_fullStr | Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title_full_unstemmed | Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title_short | Use of a Dielectric Sensor for Salinity Determination on an Extensive Green Roof Substrate |
title_sort | use of a dielectric sensor for salinity determination on an extensive green roof substrate |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346240/ https://www.ncbi.nlm.nih.gov/pubmed/37447651 http://dx.doi.org/10.3390/s23135802 |
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