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Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness

Accurate estimation of soil water retention curve (SWRC) at the dry region is required to describe the relation between soil water content and matric suction from saturation to oven dryness. In this study, the extrapolative capability of two models for predicting the complete SWRC from limited range...

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Autores principales: Lu, Sen, Ren, Tusheng, Lu, Yili, Meng, Ping, Sun, Shiyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4252034/
https://www.ncbi.nlm.nih.gov/pubmed/25464503
http://dx.doi.org/10.1371/journal.pone.0113518
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author Lu, Sen
Ren, Tusheng
Lu, Yili
Meng, Ping
Sun, Shiyou
author_facet Lu, Sen
Ren, Tusheng
Lu, Yili
Meng, Ping
Sun, Shiyou
author_sort Lu, Sen
collection PubMed
description Accurate estimation of soil water retention curve (SWRC) at the dry region is required to describe the relation between soil water content and matric suction from saturation to oven dryness. In this study, the extrapolative capability of two models for predicting the complete SWRC from limited ranges of soil water retention data was evaluated. When the model parameters were obtained from SWRC data in the 0–1500 kPa range, the FX model (Fredlund and Xing, 1994) estimations agreed well with measurements from saturation to oven dryness with RMSEs less than 0.01. The GG model (Groenevelt and Grant, 2004) produced larger errors at the dry region, with significantly larger RMSEs and MEs than the FX model. Further evaluations indicated that when SWRC measurements in the 0–100 kPa suction range was applied for model establishment, the FX model was capable of producing acceptable SWRCs across the entire water content range. For a higher accuracy, the FX model requires soil water retention data at least in the 0- to 300-kPa range to extend the SWRC to oven dryness. Comparing with the Khlosi et al. (2006) model, which requires measurements in the 0–500 kPa range to reproduce the complete SWRCs, the FX model has the advantage of requiring less SWRC measurements. Thus the FX modeling approach has the potential to eliminate the processes for measuring soil water retention in the dry range.
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spelling pubmed-42520342014-12-05 Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness Lu, Sen Ren, Tusheng Lu, Yili Meng, Ping Sun, Shiyou PLoS One Research Article Accurate estimation of soil water retention curve (SWRC) at the dry region is required to describe the relation between soil water content and matric suction from saturation to oven dryness. In this study, the extrapolative capability of two models for predicting the complete SWRC from limited ranges of soil water retention data was evaluated. When the model parameters were obtained from SWRC data in the 0–1500 kPa range, the FX model (Fredlund and Xing, 1994) estimations agreed well with measurements from saturation to oven dryness with RMSEs less than 0.01. The GG model (Groenevelt and Grant, 2004) produced larger errors at the dry region, with significantly larger RMSEs and MEs than the FX model. Further evaluations indicated that when SWRC measurements in the 0–100 kPa suction range was applied for model establishment, the FX model was capable of producing acceptable SWRCs across the entire water content range. For a higher accuracy, the FX model requires soil water retention data at least in the 0- to 300-kPa range to extend the SWRC to oven dryness. Comparing with the Khlosi et al. (2006) model, which requires measurements in the 0–500 kPa range to reproduce the complete SWRCs, the FX model has the advantage of requiring less SWRC measurements. Thus the FX modeling approach has the potential to eliminate the processes for measuring soil water retention in the dry range. Public Library of Science 2014-12-02 /pmc/articles/PMC4252034/ /pubmed/25464503 http://dx.doi.org/10.1371/journal.pone.0113518 Text en © 2014 Lu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lu, Sen
Ren, Tusheng
Lu, Yili
Meng, Ping
Sun, Shiyou
Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title_full Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title_fullStr Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title_full_unstemmed Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title_short Extrapolative Capability of Two Models That Estimating Soil Water Retention Curve between Saturation and Oven Dryness
title_sort extrapolative capability of two models that estimating soil water retention curve between saturation and oven dryness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4252034/
https://www.ncbi.nlm.nih.gov/pubmed/25464503
http://dx.doi.org/10.1371/journal.pone.0113518
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