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Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept
Soil water retention determines plant water availability and contaminant transport processes in the subsurface environment. However, it is usually difficult to measure soil water retention characteristics. In this study, an analytical model based on a fractional bulk density (FBD) concept was presen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542446/ https://www.ncbi.nlm.nih.gov/pubmed/33028891 http://dx.doi.org/10.1038/s41598-020-73890-8 |
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author | Sun, Huihui Lee, Jaehoon Chen, Xijuan Zhuang, Jie |
author_facet | Sun, Huihui Lee, Jaehoon Chen, Xijuan Zhuang, Jie |
author_sort | Sun, Huihui |
collection | PubMed |
description | Soil water retention determines plant water availability and contaminant transport processes in the subsurface environment. However, it is usually difficult to measure soil water retention characteristics. In this study, an analytical model based on a fractional bulk density (FBD) concept was presented for estimating soil water retention curves. The concept allows partitioning of soil pore space according to the relative contribution of certain size fractions of particles to the change in total pore space. The input parameters of the model are particle size distribution (PSD), bulk density, and residual water content at water pressure head of 15,000 cm. The model was tested on 30 sets of water retention data obtained from various types of soils that cover wide ranges of soil texture from clay to sand and soil bulk density from 0.33 g/cm(3) to 1.65 g/cm(3). Results showed that the FBD model was effective for all soil textures and bulk densities. The estimation was more sensitive to the changes in soil bulk density and residual water content than PSD parameters. The proposed model provides an easy way to evaluate the impacts of soil bulk density on water conservation in soils that are manipulated by mechanical operation. |
format | Online Article Text |
id | pubmed-7542446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75424462020-10-14 Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept Sun, Huihui Lee, Jaehoon Chen, Xijuan Zhuang, Jie Sci Rep Article Soil water retention determines plant water availability and contaminant transport processes in the subsurface environment. However, it is usually difficult to measure soil water retention characteristics. In this study, an analytical model based on a fractional bulk density (FBD) concept was presented for estimating soil water retention curves. The concept allows partitioning of soil pore space according to the relative contribution of certain size fractions of particles to the change in total pore space. The input parameters of the model are particle size distribution (PSD), bulk density, and residual water content at water pressure head of 15,000 cm. The model was tested on 30 sets of water retention data obtained from various types of soils that cover wide ranges of soil texture from clay to sand and soil bulk density from 0.33 g/cm(3) to 1.65 g/cm(3). Results showed that the FBD model was effective for all soil textures and bulk densities. The estimation was more sensitive to the changes in soil bulk density and residual water content than PSD parameters. The proposed model provides an easy way to evaluate the impacts of soil bulk density on water conservation in soils that are manipulated by mechanical operation. Nature Publishing Group UK 2020-10-07 /pmc/articles/PMC7542446/ /pubmed/33028891 http://dx.doi.org/10.1038/s41598-020-73890-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sun, Huihui Lee, Jaehoon Chen, Xijuan Zhuang, Jie Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title | Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title_full | Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title_fullStr | Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title_full_unstemmed | Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title_short | Estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
title_sort | estimating soil water retention for wide ranges of pressure head and bulk density based on a fractional bulk density concept |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542446/ https://www.ncbi.nlm.nih.gov/pubmed/33028891 http://dx.doi.org/10.1038/s41598-020-73890-8 |
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