Short-term influence of biochar on soil temperature, liquid moisture content and soybean growth in a seasonal frozen soil area

Research on frost heaving of high speed railway subgrade filling in seasonal frozen soil area is developed indoor. Through freezing and thawing strength and frost heaving amount test, the research analyzes factors affecting frost heaving of subgrade filling, points out that water content, fine stuff admixing amount and plasticity of fine-grained soil have relatively large influence on frost heaving, while freezing temperature and freezing and thawing cycle index have relatively small influence. Water content is main factor to have effect on frost heaving of subgrade filling. When the water content reaches to some certain value, even coarse-grained soil can produce considerable frost heaving amount. Therefore, taking effective waterproof and drainage measures is of great importance in subgrade frost heaving prevention and treatment.

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The variation of soil temperature and water content of seasonal frozen soil with different vegetation coverage in the headwater region of the Yellow River, China

Environmental Geology ◽

10.1007/s00254-007-0953-x ◽

2007 ◽

Vol 54 (8) ◽

pp. 1755-1762 ◽

Cited By ~ 15

Author(s):

Huiyan Cheng ◽

Genxu Wang ◽

Hongchang Hu ◽

Yibo Wang

Keyword(s):

Soil Temperature ◽

Water Content ◽

Yellow River ◽

Frozen Soil ◽

Vegetation Coverage ◽

The Yellow River ◽

Seasonal Frozen Soil

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Mechanisms of salt rejection at the ice-liquid interface during the freezing of pore fluids in the seasonal frozen soil area

China Geology ◽

10.31035/cg2021059 ◽

2021 ◽

Vol 4 (3) ◽

pp. 449-457

Author(s):

Huan Huang ◽

◽

Chang-fu Chen ◽

Xiao-jie Mo ◽

Ding-ding Wu ◽

...

Keyword(s):

Liquid Interface ◽

Frozen Soil ◽

Pore Fluids ◽

Salt Rejection ◽

Seasonal Frozen Soil ◽

Soil Area

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The Forecasting for Artificial Frozen Soil Temperature Field Based on Support Vector Machines Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.193-194.995 ◽

2012 ◽

Vol 193-194 ◽

pp. 995-1000

Author(s):

Shi Yin Zhang ◽

Jun Hao Chen ◽

Fen Mao

Keyword(s):

Support Vector Machine ◽

Support Vector Machines ◽

Moisture Content ◽

Soil Temperature ◽

Frozen Soil ◽

Support Vector ◽

Freezing Soil ◽

Temperature Calculation ◽

Vector Machines ◽

Artificial Freezing

The level of soil freezing temperature has a direct impact on the time of formatting effective frozen wall and the value of freeze wall thickness, and it has a certain relationship with the soil composition, moisture content, density, liquid limit moisture content, pressure and saltness .For the feature of less measured sample of new mines, using the theory that is based on structural risk minimization and the method of small sample study-Support Vector Machine Algorithm, the support vector machine computation model of artificial frozen soil temperature has been established. Using support vector machines of different kernel functions to analyze the frozen temperature calculation of artificial freezing soil, the kernel function that is fit for the frozen temperature calculation of artificial has been determined. The results of support vector machine calculation model shows that this method is an effective method, it has provide a new approach for the frozen temperature calculation of artificial freezing soil.

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Detection of Pipeline Deformation Induced by Frost Heave Using OFDR Technology

Frontiers in Physics ◽

10.3389/fphy.2021.684954 ◽

2021 ◽

Vol 9 ◽

Author(s):

Tao Jiang ◽

Jing-wen Zhu ◽

Yi Shi

Keyword(s):

Oil And Gas ◽

Plane Curve ◽

Reconstruction Algorithm ◽

Deformation Monitoring ◽

Frozen Soil ◽

Frost Heave ◽

Curve Reconstruction ◽

Seasonal Frozen Soil ◽

Distributed Strain ◽

Soil Area

Oil and gas pipelines are critical structures. For pipelines in the seasonal frozen soil area, frost heave of the ground will result in deformation of the pipeline. If the deformation continually increases, it will seriously threaten the pipeline safety. Therefore, it is important to monitor the deformation of the pipeline in the frozen soil area. Since optic frequency–domain reflectometer (OFDR) technology has many advantages in distributed strain measurement, this paper utilized the OFDR technology to measure the distributed strain and use the plane curve reconstruction algorithm to calculate the deformed pipeline shape. To verify the feasibility of this approach, a test was conducted to simulate the pipeline deformation induced by frost heave. Test results showed that the pipeline shape can be reconstructed well via the combination of the OFDR and curve reconstruction algorithm, providing a valuable approach for pipeline deformation monitoring.

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A simple model for predicting soil temperature in snow-covered and seasonally frozen soil: model description and testing

Hydrology and Earth System Sciences ◽

10.5194/hess-8-706-2004 ◽

2004 ◽

Vol 8 (4) ◽

pp. 706-716 ◽

Cited By ~ 48

Author(s):

K. Rankinen ◽

T. Karvonen ◽

D. Butterfield

Keyword(s):

Heat Capacity ◽

Simple Model ◽

Soil Temperature ◽

Specific Heat ◽

Specific Heat Capacity ◽

Frozen Soil ◽

Model Description ◽

Freezing And Thawing ◽

Catchment Scale ◽

Soil Temperatures

Abstract. Microbial processes in soil are moisture, nutrient and temperature dependent and, consequently, accurate calculation of soil temperature is important for modelling nitrogen processes. Microbial activity in soil occurs even at sub-zero temperatures so that, in northern latitudes, a method to calculate soil temperature under snow cover and in frozen soils is required. This paper describes a new and simple model to calculate daily values for soil temperature at various depths in both frozen and unfrozen soils. The model requires four parameters: average soil thermal conductivity, specific heat capacity of soil, specific heat capacity due to freezing and thawing and an empirical snow parameter. Precipitation, air temperature and snow depth (measured or calculated) are needed as input variables. The proposed model was applied to five sites in different parts of Finland representing different climates and soil types. Observed soil temperatures at depths of 20 and 50 cm (September 1981–August 1990) were used for model calibration. The calibrated model was then tested using observed soil temperatures from September 1990 to August 2001. R2-values of the calibration period varied between 0.87 and 0.96 at a depth of 20 cm and between 0.78 and 0.97 at 50 cm. R2-values of the testing period were between 0.87 and 0.94 at a depth of 20cm, and between 0.80 and 0.98 at 50cm. Thus, despite the simplifications made, the model was able to simulate soil temperature at these study sites. This simple model simulates soil temperature well in the uppermost soil layers where most of the nitrogen processes occur. The small number of parameters required means that the model is suitable for addition to catchment scale models. Keywords: soil temperature, snow model

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Short-term forecasting of soil temperature using artificial neural network

Meteorological Applications ◽

10.1002/met.1489 ◽

2014 ◽

Vol 22 (3) ◽

pp. 576-585 ◽

Cited By ~ 28

Author(s):

Hossein Tabari ◽

P. Hosseinzadeh Talaee ◽

Patrick Willems

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Soil Temperature ◽

Short Term ◽

Artificial Neural ◽

Short Term Forecasting

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Wavelet neural networks and gene expression programming models to predict short-term soil temperature at different depths

Soil and Tillage Research ◽

10.1016/j.still.2017.08.012 ◽

2018 ◽

Vol 175 ◽

pp. 37-50 ◽

Cited By ~ 39

Author(s):

Saeed Samadianfard ◽

Esmaeil Asadi ◽

Salar Jarhan ◽

Honeyeh Kazemi ◽

Salar Kheshtgar ◽

...

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Soil Temperature ◽

Gene Expression Programming ◽

Programming Models ◽

Wavelet Neural Networks ◽

Short Term ◽

Different Depths

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Simulations and Experiments of the Soil Temperature Distribution after 2.45-GHz Short-Time Term Microwave Treatment

Agriculture ◽

10.3390/agriculture11100933 ◽

2021 ◽

Vol 11 (10) ◽

pp. 933

Author(s):

Xiaohe Sun ◽

Changyuan Zhai ◽

Shuo Yang ◽

Haolin Ma ◽

Chunjiang Zhao

Keyword(s):

Soil Moisture ◽

Field Strength ◽

Moisture Content ◽

Soil Temperature ◽

Output Power ◽

Soil Moisture Content ◽

Microwave Treatment ◽

Soil Treatment ◽

Internal Temperature ◽

Soil Disinfection

Microwave treatment is a green and pollution-free soil disinfection method. The application of microwaves to disinfect soil before cultivation is highly important to increase crop yields and protect the ecological environment. The electromagnetic field is an important parameter influencing the soil temperature field in the process of microwave soil treatment, and the change in soil temperature directly affects soil disinfection. Therefore, this article carried out research on the heating pattern in North China loess due to microwave treatment. First, COMSOL software was employed to simulate the microwave soil treatment process to analyze microwave penetration into soil. Second, with the application of microwaves at the designed frequency produced with a 2.45-GHz tunable microwave generating microdevice, soil with water contents of 0%, 10%, 20%, and 30% was treated for 10~60 s (at 10-s time intervals), and experiments on the influence of the microwave output power, treatment time, and soil moisture content on the soil temperature were performed via the controlled variable method. The simulation results indicate that with increasing soil moisture content, the microwave frequency inside the soil model increases, and the electric field intensity value decreases in the model at the same depth. After microwaves traverse through the 20-cm soil model, the incident field strength is three orders of magnitude lower than the outgoing field strength. The results of the microwave soil treatment experiment reveal that: (1) Compared to microwave output power levels of 1.8 and 1.6 kW, a level of 2 kW is more suitable for microwave soil disinfection. (2) After treatment, the highest temperature occurs on the soil surface, not within the soil. (3) The location of the highest soil internal temperature after microwave treatment increasingly approaches the soil surface with increasing soil moisture content, and the microwave output power does not affect the location of the highest soil internal temperature. Combining the electromagnetic field simulation and microwave soil treatment experiment results, it was found that the higher the field strength is, the higher the temperature value, and the highest soil internal temperature after microwave treatment often occurs at the first electromagnetic wave peak.

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Soil organic carbon accumulation and carbon dioxide emissions during a 6-year study in irrigated continuous maize under two tillage systems in semiarid Mediterranean conditions

Spanish Journal of Agricultural Research ◽

10.5424/sjar/2021191-16260 ◽

2021 ◽

Vol 19 (1) ◽

pp. e1102

Author(s):

Maroua Dachraoui ◽

Aurora Sombrero

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Soil Temperature ◽

Grain Yield ◽

Co2 Emissions ◽

Carbon Dioxide Emissions ◽

Carbon Accumulation ◽

No Tillage ◽

Short Term ◽

The Impact

Aim of study: To evaluate the effects of conventional tillage (CT) and no tillage (NT) systems on the soil organic carbon (SOC) changes, CO2 emissions and their relation with soil temperature and grain yield in a monoculture of irrigated maize during six years.Area of study: In Zamadueñas experimental field in the Spanish province of Valladolid, from 2011 to 2017.Material and methods: The SOC content was determined by collecting soil samples up to 30 cm in November at two years interval. Short-term CO2 emissions were measured simultaneously with soil temperature using a respiration chamber and a hand-held probe immediately before, after every tillage operation and during the maize cycle.Main results: The SOC stock of the top 30 cm soil layers was 13% greater under NT than CT. Short-term CO2 emissions were significantly higher under CT ranging from 0.8 to 3.4 g CO2 m-2 h-1 immediately after tillage while under NT system, soil CO2 fluxes were low and stable during this study period. During the first 48 h following tillage, cumulative CO2 emissions ranged from 0.6 to 2.4 Mg CO2 ha-1 and from 0.2 to 0.3 Mg CO2 ha-1 under CT and NT systems, respectively. Soil temperature did not show significant correlation with CO2 emissions; however, it depended mostly on the time of measurement.Research highlights: No tillage increased the SOC accumulation in the topsoil layer, reduced CO2 emissions without decreasing maize grain yield and minimized the impact on climate change compared to CT system.

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