Development and Comparison of Soil Water Release Curves for Three Soils in the Red River Valley

Roy, Debjit; Jia, Xinhua; Steele, Dean D.; Lin, Dongqing

doi:10.2136/sssaj2017.09.0324

Cited by 24 publications

(17 citation statements)

References 29 publications

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“…The field bulk density of the soil during the soil collection was 1.25 g/cm 3 , and it was determined by the soil core method [31]. A soil water release curve (SWRC) was constructed using the combined datasets from the HYPROP ® evaporation method (UMS GmbH, Munich, Germany) and the WP4 dewpoint potentiometer (Decagon Devices, Pullman, WA, USA) method [18,32], as shown in Figure 2. An undisturbed soil core sample was collected at 10-15 cm depth for the SWRC development, and the van Genuchten [33] equation was used to describe the relationship between the volumetric water contents and the soil matric potentials.…”

Section: Soil and Soil Propertiesmentioning

confidence: 99%

“…The SWRC was used to determine the soil hydraulic property parameters listed in Table 1. A second SWRC was developed after completing all infiltration experiments by the combined datasets from the HYPROP ® evaporation and WP4 dewpoint potentiometer methods following the same procedure described earlier in this section and in Roy et al [18]. Though the same soil was used for the second SWRC, the soil properties were probably changed because the soil went through multiple freeze and thaw cycles and packing.…”

Section: Soil and Soil Propertiesmentioning

confidence: 99%

“…In northern cold regions, more than half of the land surface is seasonally frozen (minimum annual temperature below 0 • C), and snow melting is a major hydrological event in such areas [12,17]. Freezing and thawing cycles, one of the important seasonally frozen soil phenomena, change the physical properties of frozen soil by creating stress fractures as well as affect the aggregate stability of soil and facilitate changes in soil hydraulic properties [18]. Soil aggregate stability increases with freezing, but it degrades during the thawing processes [19,20].…”

Section: Introductionmentioning

confidence: 99%

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Infiltration into Frozen Silty Clay Loam Soil with Different Soil Water Contents in the Red River of the North Basin in the USA

Roy

Jia

Steele

et al. 2020

Water

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Predicting surface runoff and flooding in seasonally frozen areas such as the Red River of the North Basin (RRB) in USA is a challenging task. It depends on the knowledge of the complex process of infiltration in frozen soil, such as phase changes of water, ice content and distribution in the infiltration zone (the top 0–30 cm of the soil profile), soil pore size distribution, soil temperature and freeze–thaw cycles. In this study, the infiltration rates into frozen soil (Colvin silty clay loam according to the United States Department of Agriculture (USDA) Classification, and Chernozem according to Food and Agriculture Organization of the United Nations (FAO) international soil Classification) were measured at three different initial water contents: permanent wilting point (PWP), θpwp; field capacity (FC), θfc; and between FC and PWP, θmid. Laboratory infiltration experiments were conducted using a Cornell sprinkle infiltrometer with three replications for each initial water content. Volumetric soil water content (θv) and soil temperature at three depths were also continuously monitored using sensors. The average infiltration rates were 0.66, 0.38, and 0.59 cm/min for three initial water contents (θpwp, θmid, and θfc, respectively). Initial infiltration into frozen soil occurred quickly in the soil with θpwp because the soil was dry. Melted ice water contributed to the total soil water content over time, so it made the initial infiltration comparatively slower in the soil with θmid. Initial infiltration was also slower in the soil with θfc because the wet soil had very small pore space, so the soil rapidly reached its saturation after the infiltration started. The Horton infiltration equation was fitted with the observed infiltration rates for the soils with three initial water contents, and the goodness of fit was evaluated by using the coefficient of determination (R2) and the root-mean-square error (RMSE). The final infiltration rates from the fitted Horton equations were 0.060, 0.010, and 0.027 cm/min for the initial water contents (θpwp, θmid, and θfc, respectively). The soil water content along the soil profile changed with the amount of infiltrating water over time. However, the initial soil water content and melt water from ice resulting from soil temperature rise regulated the change in soil water content. The amount of ice melt water contribution to soil water content change varied among the soils with different initial water contents (θpwp, θmid, and θfc, respectively). The θv changed gradually in the θpwp soil, rapidly at 0 °C in the θmid soil, and less in the θfc soil. The change in pore distribution due to freeze–thaw cycles and soil packing altered the soil hydraulic properties and the infiltration into the soil. This study can provide critical information for flood forecasting model and subsurface drainage design in the RRB.

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Section: Soil and Soil Propertiesmentioning

confidence: 99%

Section: Soil and Soil Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Infiltration into Frozen Silty Clay Loam Soil with Different Soil Water Contents in the Red River of the North Basin in the USA

Roy

Jia

Steele

et al. 2020

Water

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“…Layer Solone et al, 2012;Roy et al, 2018). The main causes of PPA errors reported in these studies are related to a poor soil-plate contact caused by drying, as well as to a low unsaturated hydraulic conductivity.…”

Section: Sitementioning

confidence: 93%

Measuring full-range soil hydraulic properties for the prediction of crop water availability using gamma-ray attenuation and inverse modeling

Pinheiro

Lier

Inforsato

et al. 2019

Agricultural Water Management

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A B S T R A C TAccurate knowledge of soil hydraulic properties (K-θ-h) for the entire range of crop available water is essential for the prediction of soil water movement and related processes by mechanistic models, including the partitioning of surface energy fluxes into transpiration and evaporation and the dynamics of root water uptake, mandatory processes for adjustments of crop water use efficiency. We implemented an experimental and numerical protocol to obtain K-θ-h of eleven soils with a broad spectrum of texture and land use. Measurements of the soil water content during evaporation experiments using gamma-ray beam attenuation, a non-invasive technique, were adopted as an alternative approach to conventional measurements of the soil water pressure head. Inverse parameter optimization was performed using Hydrus-1D. The optimized K-θ-h functions were interpreted with respect to crop available water, where results calculated by a proposed "dynamic" method were compared with those determined using the conventional "static" criteria with standardized pressure heads. The evaporation experiment protocol allowed the determination of the K-θ-h relationships by inverse modeling from near-saturation to the dry range (∼ −150 m) with satisfactory accuracy. Soil water retention curves of the finetextured soils determined by the conventional method (pressure plates) deviated from those estimated by the inverse optimization near saturation and in the dry range, with the conventional method predicting larger water content values. In terms of crop available water, the "dynamic" method allowed incorporating system characteristics (atmospheric demand and crop properties) and K-θ-h in a process-based way, contrarily to the "static" method. Considering a specific scenario, for the fine-textured soils the "static" and "dynamic" approaches performed similarly, however, for the coarse-textured soils, they diverged significantly. No tendency could be revealed for crop water availability under different land uses, and, in general, crop available water for soils under forest use was very similar to their counterparts under agricultural use.

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“…Saturated water content was calculated from the soil bulk density assuming a particle density of 2.65 g cm −3 for mineral soil. Soil water content (SWC) at field capacity (FC) was obtained from Goos and Fairlie (1988), and SWC at permanent wilting point (PWP) was measured using the WP4 Dewpoint Potentiometer (Roy et al, 2018). The average water content over the two depths (15 and 30 cm) for saturation point, FC, and PWP was 0.59, 0.454, and 0.22 cm 3 cm −3 , respectively.…”

Section: Study Area and Climatementioning

confidence: 99%

Measurement of Unirrigated Turfgrass Evapotranspiration Rate in the Red River Valley

Niaghi

Jia

Scherer

et al. 2019

Vadose Zone Journal

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Core Ideas Soil moisture is needed in defining well‐watered turfgrass condition in evapotranspiration measurement. Deep soil moisture supports turfgrass growth when surface soil moisture is not sufficient. The ETa can be estimated from 0.96 ETo using the ASCE‐EWRI standardized method for well‐watered turfgrass. The ASCE‐EWRI standardized reference ET equation can be used for water management of turfgrass in northern cool climates and during drought periods. Turfgrass actual evapotranspiration (ETa) measurements are critical for water management and irrigation scheduling. With no historical ETa measurements in eastern North Dakota, turfgrass ETa rates were measured with the residual method using eddy covariance instrumentation and two arrays of soil moisture sensors on unirrigated turfgrass under natural conditions in the 2011, 2012, and 2013 growing seasons. An on‐site weather station provided weather data to calculate the standardized grass‐based reference evapotranspiration (ETo) (Allen et al., 2005). The daily ETa/ETo ratios were screened using the criteria of soil moisture ≥50% of available water for the top 30 cm of the root zone, rain amounts ≤10 mm, and a recovering period after drought. The screened monthly average ETa/ETo ratios for the unirrigated turfgrass were 1.03, 0.98, 0.94, 0.90, 0.82, and 1.18 from May to October. The mean ETa/ETo ratio for the entire growing seasons was 0.96, implying that the American Society of Civil Engineering–Environmental and Water Resource Institute ETo method was valid for guiding the turfgrass ETa calculation even in unirrigated and cold climate conditions. Because this is the first reported study on ETa measurement of a turfgrass site, the limited data can provide a baseline on water management for turfgrass under various weather conditions in this region. The results indicated that a monthly refinement of ETa/ETo values might be required to maintain the landscape turfgrass quality more precisely in terms of water management.

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Development and Comparison of Soil Water Release Curves for Three Soils in the Red River Valley

Cited by 24 publications

References 29 publications

Infiltration into Frozen Silty Clay Loam Soil with Different Soil Water Contents in the Red River of the North Basin in the USA

Infiltration into Frozen Silty Clay Loam Soil with Different Soil Water Contents in the Red River of the North Basin in the USA

Measuring full-range soil hydraulic properties for the prediction of crop water availability using gamma-ray attenuation and inverse modeling

Measurement of Unirrigated Turfgrass Evapotranspiration Rate in the Red River Valley

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