Characteristics and Laboratory Freeze–thaw Test of Saline Soil in West Jilin, China

Bao, S.

doi:10.15666/aeer/1601_511520

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Located in the hinterland of the Songnen Plain, the west of Jilin Province is one of China's most important grain-producing areas. Affected by natural and human factors, such as the semi-arid climate, high evaporation intensity, low and flat terrain, the rise of groundwater level, irrational development of agriculture and animal husbandry, and poor drainage, the soil in some areas of this region represents a severe salinization problem [9][10][11][12][13][14]. In this paper, the geochemical indicators of soil salinization in western Jilin Province (Baicheng, Taonan, Da'an, Zhenlai, Songyuan, Tongyu, Qian'an, and Qianguo) were selected as the study areas (Figure 1).…”

Section: The Study Areamentioning

confidence: 99%

Identification of Saline Soils Using Soil Geochemical Data: A Case Study in Soda-Salinization Areas, NE China

Lan

Hao

et al. 2023

Sustainability

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Identifying saline soils is of great importance for protecting land resources and for the sustainable development of agriculture. Total soil salinity (TSS) is the most commonly used indicator for determining soil salinization, but the application of soil geochemical data is rarely reported. In general, there is a significant relationship between TSS and the content of soil-soluble Na, which can be estimated by the difference between the bulk-soil Na2O content and its background value. In this study, the partial least squares regression (PLSR) method was employed to calculate the Na2O background value via a regression model between Na2O and SiO2, Al2O3, TFe2O3, Cr, Nb, and P in a 1:250,000 scale regional geochemical data set of soils in Jilin Province, NE China. We defined δNa as the difference between the bulk-soil Na2O value and the regression background value, which can be used as a geochemical indicator to identify saline soils. One hundred and five samples with known TSS contents in the study area were selected to test the capability of the indicator δNa. The result shows that the identification accuracy can be up to 75%, indicating that the indicator can provide a new means for saline soil identification.

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Section: The Study Areamentioning

confidence: 99%

Identification of Saline Soils Using Soil Geochemical Data: A Case Study in Soda-Salinization Areas, NE China

Lan

Hao

et al. 2023

Sustainability

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“…Western Jilin province is one of the areas in China most affected by soil salinization (Bao et al, 2018). Da'an City has the greatest level of salinization (Bian et al, 2014), and the issue of soil salinization has become a significant constraint on agricultural economic development (Litalien & Zeeb, 2020; Ramos et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The parametric uncertainty estimation of water and nitrogen transport simulation in a paddy field experiment using HYDRUS‐1D

Bian

Nie

et al. 2023

Irrigation and Drainage

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The HYDRUS model is an efficient technical means to study the process of complex nitrogen (N) transport in farmland. Nonetheless, spatial variability in soil water and N parameters has been observed at the field scale, leading to uncertainties in the HYDRUS model. In this study, the HYDRUS‐1D model was corrected and verified by the measured data. Generalized likelihood uncertainty estimation (GLUE) was used to estimate the uncertainty and sensitivity of the model parameters. The differences in simulated and measured data were expressed in terms of root mean square error, normalized root mean square error and coefficient of determination, and the model calibration and verification indicated that the result was reliable. The soil saturated water content, dispersion and sorption coefficient were well identified, with values ranging from 0.42 to 0.45 cm3/cm3, 0.26 to 0.29 cm and 0.141 to 0.158 L/mg, respectively. The denitrification rate and saturated hydraulic conductivity greatly influenced the uncertainty in the model results. Considering the uncertainty of the parameters, the predicted leaching of N accumulation from 0 to 100 cm depth ranged from 9.5 to 12.7 kg/ha. The HYDRUS‐1D model can simulate water and N transport in paddy fields. The prediction interval can be narrowed by considering the uncertainty of the model parameters.

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“…Wang et al (2011) named the saline soil in western Jilin as dispersive soil and analyzed the influence factors of dispersibility and frost heaving characteristics. Bao et al (2018) took laboratory test of salin soil in west Jilin to find out t the frost-heaving rate of soil. This study aims to investigate the saline soil in Nong'an area of western Jilin, China.…”

Section: Introductionmentioning

confidence: 99%

Salinization Process and Influencing Factors in Western Jilin Province, China

Bao¹

2019

Appl. Ecol. Env. Res.

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Saline soil is widely distributed in western Jilin province, China, agriculture and engineering are affected by the saline soil. Its formation and development process are influenced the most by factors of the natural geological environment. For the purpose of investigating the salinization process and influence factors in western Jilin, this study analyzes the saline soil of Nong'an in western Jilin Province, which was sampled during a field investigation. Thereafter, the characteristics of the water and salt migration in the soil have been investigated in the laboratory, the environmental factors of the study area, and the influence of the ecological environment on salinization have also been discussed. The results show that the water and salt migrate with seasonal changes in soil. The water content is low in autumn, and high in spring and summer. The salt content of the soil near the ground surface is low in autumn, and high in spring and summer, meanwhile, the salt content in the deep soil layers is low in spring and autumn, and high in summer. During both the unfrozen period and the frost-thawing periods, the soil salinization continues to enhance, and salinization eventually causes land desertification. This study can provide the theoretical basis for the protection of fragile ecological environments.

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Characteristics and Laboratory Freeze–thaw Test of Saline Soil in West Jilin, China

Cited by 6 publications

References 8 publications

Identification of Saline Soils Using Soil Geochemical Data: A Case Study in Soda-Salinization Areas, NE China

Identification of Saline Soils Using Soil Geochemical Data: A Case Study in Soda-Salinization Areas, NE China

The parametric uncertainty estimation of water and nitrogen transport simulation in a paddy field experiment using HYDRUS‐1D

Salinization Process and Influencing Factors in Western Jilin Province, China

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