Soil freezing and thawing processes affected by the different landscapes in the middle reaches of Heihe River Basin, Gansu, China

Yi, Jiang Tao; Zhao, Ying; Shao, Mingan; Zhang, Jianguo; Cui, Lele; Cheng, Bing

doi:10.1016/j.jhydrol.2014.08.042

Cited by 67 publications

(37 citation statements)

References 30 publications

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“…Despite its importance, field soil ice content dynamics are difficult to measure. A commonly used method to determine in situ soil ice content is the combination of time domain reflectometry (TDR) and neutron moderation (Hayhoe and Bailey, 1985; Stähli et al, 1999; Kahimba and Sri Ranjan, 2007; Yi et al, 2014). Dielectric permittivity measured with TDR enables an estimate of liquid water content in partially frozen soils with a minor overestimation due to the presence of ice (e.g., Smith and Tice, 1988; Spaans and Baker, 1995; Watanabe and Wake, 2009; He and Dyck, 2013).…”

mentioning

confidence: 99%

Sensible Heat Balance Estimates of Transient Soil Ice Contents

Kojima

Heitman

Flerchinger

et al. 2016

Vadose Zone Journal

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Core Ideas Soil ice content is difficult to quantify. A sensible heat balance with heat pulse probes may indicate soil ice contents. A sensible heat balance can determine transient soil ice content from −5 to 0°C. Soil ice contents below −5°C can be determined with heat capacity changes. Heat pulse probes can monitor soil ice contents at and below 0°C. Soil ice content is an important component for winter soil hydrology. The sensible heat balance (SHB) method using measurements from heat pulse probes (HPPs) is a possible way to determine transient soil ice content. In a previous study, in situ soil ice content estimates with the SHB method were inaccurate, due to thermal conductivity errors and the use of relatively long time steps for calculations. The objective of this study is to reexamine the SHB method for soil ice content determination. A soil freezing and thawing laboratory experiment was performed with soil columns and heat exchangers. Transient soil ice contents in the soil columns during soil freezing and thawing were determined with the SHB method. The SHB method was able to determine dynamic changes in soil ice contents during initial freezing and final thawing for soil temperatures between −5 and 0°C when latent heat values associated with ice formation or with thawing were relatively large. During an extended freezing period, when soil temperatures were below −5°C, the small associated latent heat fluxes were below the sensitivity of the SHB method, and the SHB method did not provide accurate estimates of ice contents with time. However, the soil ice contents during the extended freezing period could be estimated well from changes in volumetric heat capacity (C) determined with HPP. Thus, combining the SHB method for initial freezing and final thawing, with a change in C method for extended freezing periods, allowed determination of dynamic soil ice contents for the entire range of freezing and thawing soil temperatures investigated. HPPs were able to measure soil ice contents.

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confidence: 99%

Sensible Heat Balance Estimates of Transient Soil Ice Contents

Kojima

Heitman

Flerchinger

et al. 2016

Vadose Zone Journal

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“…Soil freezing and thawing are the main physical processes that significantly affect soil hydrothermal properties (Yi et al, 2014; Zhao et al, 2013). The air temperature decreased gradually after November and fluctuated around 0°C from November 10 to December 9, 2017 (above 0°C during daytime and below 0°C at night), and the surface soils began to freeze and went through several diurnal freeze–thaw cycles.…”

Section: Resultsmentioning

confidence: 99%

Effects of sand‐mulch thickness on soil evaporation during the freeze–thaw period

Chen

Xue

Zheng

et al. 2020

Hydrological Processes

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Control of evaporation from seasonally frozen soil is an important method for alleviating water shortages in arid and semi‐arid areas. To investigate the inhibition of soil evaporation by sand and the major factors that influence soil evaporation, a series of field experiments with five sand‐mulch thicknesses (0 cm, bare soil [BS], 1 cm [T1], 2 cm [T2], 3 cm [T3] and 4 cm [T4], with an average diameter of 1 mm) were conducted during the freeze–thaw period in Northern China. Soil evaporation characteristics in the three freeze–thaw stages were revealed and the major factors influencing soil evaporation were analysed using grey correlation analysis. The results showed that the cumulative soil evaporation decreased with increasing sand‐mulch thickness during the freeze–thaw period, and only small differences in soil evaporation were observed between the T3 and T4 treatments. The reduction in soil evaporation under different sand‐mulch thicknesses was 19.2–62.6% in the unstable freezing stage (P1), 2.0–28.3% in the stable freezing stage (P2) and 4.8–20.4% in the thawing stage (P3). In P1, solar radiation was a major factor influencing soil evaporation in all treatments and vapour pressure was a major factor in the sand‐mulch treatments, and the influence of relative humidity on soil evaporation decreased in the T4 treatment. During the coldest P2, solar radiation was lowest so that relative humidity and wind speed became the more dominant influence factors on soil evaporation in all treatments, and surface soil water content was a major factor in the sand‐mulch treatments. In P3, average air temperature and solar radiation were major factor influencing soil evaporation in all treatments and vapour pressure was a major factor in the BS and T1 treatments, whereas water surface evaporation was the major factor in the T2, T3 and T4 treatments. The results suggest that the addition of sand mulch in agricultural fields may be a beneficial practice to reduce water stress in arid and semi‐arid areas.

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“…Since the radius of the TDR measurement range is 60 cm, soil samples for the gravimetric method were taken with a 60-cm distance from the tubes (Yi et al, 2014). The calibration was done annually in each individual lysimeter prior to planting by measuring soil gravimetric water content along with bulk density at the same depth intervals and depth under both dry to wet conditions.…”

Section: Soil Water Contentmentioning

confidence: 99%

“…The calibration was done annually in each individual lysimeter prior to planting by measuring soil gravimetric water content along with bulk density at the same depth intervals and depth under both dry to wet conditions. Since the radius of the TDR measurement range is 60 cm, soil samples for the gravimetric method were taken with a 60-cm distance from the tubes (Yi et al, 2014). Polycarbonate access tubes with 4-cm diameter were installed between maize rows in the middle of each plot at the three-leaf (V3) stage in 2014 and were left at the same location for both years.…”

Section: Soil Water Contentmentioning

confidence: 99%

Maize Yield as a Function of Water Availability across Precipitation Years in the North China Plain

et al. 2017

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Crop water production functions require precise knowledge of crop productivity across a wide range of soil water availability (WA). Field studies have demonstrated the yield response of maize (Zea mays L.) to WA, but the relationship has not been quantified across various precipitation years in the North China Plain (NCP). This study was conducted to investigate the effects of the simulated interannual variability in precipitation on maize yield in a winter wheat (Triticum aestivum L.) –summer maize double‐cropping system in the NCP, in 2014 and 2015. A rainfall simulator system was used to simulate contrasting precipitation years, including wet, normal, normal‐dry, and dry years. A fixed amount of 70 mm irrigation was applied at different growth stages of maize, including at planting (I70), at planting and tasseling (VT) stages (I140), and at planting, VT, and milk stages (I210). The objective was to quantify the relationships among crop production, water use, and WA for maize. We found that I210 improved soil water storage (SWS, mm) by 19 to 36% in the midseason of normal‐dry and dry years but had no effect in normal and wet years, compared with I70. Crop evapotranspiration (ETc, mm d−1) was least in the dry year with the I70 treatment and differed with maize growth phases, with the peak occurring midseason for maize in both years. Regression analyses showed that ETc was negatively related to SWS but positively related to WA. A quadratic function described grain yield responses to WA and ETc, with total WA of 478 mm and daily mean ETc of 5.1 mm d−1 producing greatest grain yield. With yield response function acquired, we conclude that target maximum yield of 11.6 Mg ha−1 can be achieved after probability of exceedance of precipitation equals 18 with irrigation water requirement applied.

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Soil freezing and thawing processes affected by the different landscapes in the middle reaches of Heihe River Basin, Gansu, China

Cited by 67 publications

References 30 publications

Sensible Heat Balance Estimates of Transient Soil Ice Contents

Sensible Heat Balance Estimates of Transient Soil Ice Contents

Effects of sand‐mulch thickness on soil evaporation during the freeze–thaw period

Maize Yield as a Function of Water Availability across Precipitation Years in the North China Plain

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