A binary mixing model for characterizing stony-soil water retention

Kshitij Parajuli; Morteza Sadeghi; Scott B. Jones

doi:10.1016/j.agrformet.2017.05.013

A binary mixing model for characterizing stony-soil water retention

Kshitij Parajuli, Morteza Sadeghi, Scott B. Jones

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

A century of research focused primarily on agricultural soils has largely ignored stony soils, which dominate some forests and are poorly understood in terms of the stone influence on soil hydraulic properties. Motivated by this knowledge gap, we quantified the influence of soil-containing stone fragments on bulk soil hydraulic properties by determining the water retention curve (WRC) of soil, stone and stone-soil mixtures with varied volumetric stone content. The measured WRC for seven different stone types based on their composition showed maximum and minimum saturated water contents of 0.55 m³ m⁻³ in pumice and 0.025 m³ m⁻³ in fine sandstone, respectively. The stony soil water retention function was measured using the simplified evaporation method. Contrasting scenarios were studied considering a broad range of stone inclusions; (i) negligibly porous, (ii) significantly porous but less porous than the background soil, (iii) more porous than the background soil. An averaging scheme to describe the WRC of stony soil was proposed based on the individual WRC of the background and stone inclusion which was in good agreement with the experimental data. The HYDRUS-3D model was also employed to simulate the evaporation experiment used for the WRC measurements. The model simulations supported the basic assumptions of the proposed averaging scheme.

Original language	English (US)
Pages (from-to)	1-8
Number of pages	8
Journal	Agricultural and Forest Meteorology
Volume	244-245
DOIs	https://doi.org/10.1016/j.agrformet.2017.05.013
State	Published - Oct 15 2017
Externally published	Yes

Bibliographical note

Funding Information:
This research was supported by the iUTAH project funded through an NSF EPSCoR grant EPS 1208732 awarded to Utah State University, as part of the State of Utah Research Infrastructure Improvement Award. Additional support was provided by the Utah Agricultural Experiment Station, Utah State University, Logan, Utah84322-4810, approved as UAES journal paper no. 8954. Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Publisher Copyright:
© 2017 Elsevier B.V.

Keywords

Binary mixture
HYDRUS-3D
Simplified evaporation method
Stony soil
Water retention

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10.1016/j.agrformet.2017.05.013

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title = "A binary mixing model for characterizing stony-soil water retention",

abstract = "A century of research focused primarily on agricultural soils has largely ignored stony soils, which dominate some forests and are poorly understood in terms of the stone influence on soil hydraulic properties. Motivated by this knowledge gap, we quantified the influence of soil-containing stone fragments on bulk soil hydraulic properties by determining the water retention curve (WRC) of soil, stone and stone-soil mixtures with varied volumetric stone content. The measured WRC for seven different stone types based on their composition showed maximum and minimum saturated water contents of 0.55 m3 m−3 in pumice and 0.025 m3 m−3 in fine sandstone, respectively. The stony soil water retention function was measured using the simplified evaporation method. Contrasting scenarios were studied considering a broad range of stone inclusions; (i) negligibly porous, (ii) significantly porous but less porous than the background soil, (iii) more porous than the background soil. An averaging scheme to describe the WRC of stony soil was proposed based on the individual WRC of the background and stone inclusion which was in good agreement with the experimental data. The HYDRUS-3D model was also employed to simulate the evaporation experiment used for the WRC measurements. The model simulations supported the basic assumptions of the proposed averaging scheme.",

keywords = "Binary mixture, HYDRUS-3D, Simplified evaporation method, Stony soil, Water retention",

author = "Kshitij Parajuli and Morteza Sadeghi and Jones, {Scott B.}",

note = "Funding Information: This research was supported by the iUTAH project funded through an NSF EPSCoR grant EPS 1208732 awarded to Utah State University, as part of the State of Utah Research Infrastructure Improvement Award. Additional support was provided by the Utah Agricultural Experiment Station, Utah State University, Logan, Utah84322-4810, approved as UAES journal paper no. 8954. Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",

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AU - Jones, Scott B.

N1 - Funding Information: This research was supported by the iUTAH project funded through an NSF EPSCoR grant EPS 1208732 awarded to Utah State University, as part of the State of Utah Research Infrastructure Improvement Award. Additional support was provided by the Utah Agricultural Experiment Station, Utah State University, Logan, Utah84322-4810, approved as UAES journal paper no. 8954. Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Publisher Copyright: © 2017 Elsevier B.V.

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N2 - A century of research focused primarily on agricultural soils has largely ignored stony soils, which dominate some forests and are poorly understood in terms of the stone influence on soil hydraulic properties. Motivated by this knowledge gap, we quantified the influence of soil-containing stone fragments on bulk soil hydraulic properties by determining the water retention curve (WRC) of soil, stone and stone-soil mixtures with varied volumetric stone content. The measured WRC for seven different stone types based on their composition showed maximum and minimum saturated water contents of 0.55 m3 m−3 in pumice and 0.025 m3 m−3 in fine sandstone, respectively. The stony soil water retention function was measured using the simplified evaporation method. Contrasting scenarios were studied considering a broad range of stone inclusions; (i) negligibly porous, (ii) significantly porous but less porous than the background soil, (iii) more porous than the background soil. An averaging scheme to describe the WRC of stony soil was proposed based on the individual WRC of the background and stone inclusion which was in good agreement with the experimental data. The HYDRUS-3D model was also employed to simulate the evaporation experiment used for the WRC measurements. The model simulations supported the basic assumptions of the proposed averaging scheme.

AB - A century of research focused primarily on agricultural soils has largely ignored stony soils, which dominate some forests and are poorly understood in terms of the stone influence on soil hydraulic properties. Motivated by this knowledge gap, we quantified the influence of soil-containing stone fragments on bulk soil hydraulic properties by determining the water retention curve (WRC) of soil, stone and stone-soil mixtures with varied volumetric stone content. The measured WRC for seven different stone types based on their composition showed maximum and minimum saturated water contents of 0.55 m3 m−3 in pumice and 0.025 m3 m−3 in fine sandstone, respectively. The stony soil water retention function was measured using the simplified evaporation method. Contrasting scenarios were studied considering a broad range of stone inclusions; (i) negligibly porous, (ii) significantly porous but less porous than the background soil, (iii) more porous than the background soil. An averaging scheme to describe the WRC of stony soil was proposed based on the individual WRC of the background and stone inclusion which was in good agreement with the experimental data. The HYDRUS-3D model was also employed to simulate the evaporation experiment used for the WRC measurements. The model simulations supported the basic assumptions of the proposed averaging scheme.

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ER -

A binary mixing model for characterizing stony-soil water retention

Abstract

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Keywords

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