Salt Accumulation during Cropping Season in an Arid Irrigation Area with Shallow Water Table Depth: A 10-Year Regional Monitoring

Wang, Chaozi; Luo, Yuanyuan; Huo, Zailin; Liu, Zhongyi; Liu, Geng; Wang, Shuai; Lin, Yi-Fan; Wu, Peijin

doi:10.3390/w14101664

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…It is the most common soil texture in Hetao Irrigation District. This area is a typical seasonal frozen area [63] and a typical saline arid and semi-arid area due to long-term irrigation [57]. The soil sample was flushed by deionized water to salinity below 0.05% to eliminate the background salinity.…”

Section: Lab and Field Experiments 221 Laboratory Experimentsmentioning

confidence: 99%

“…In recent years, some SWCC-based SFCC models have been developed for saline soils. Except for Zhou et al [42], whose model was based on the Brooks and Corey model [57], most of the existing SWCC-based SFCC models are based on the van Genuchten model. Under low salinity conditions (<1.0% g/g dry soil), Tan et al [46] proposed an improved GCE model, which excluded the osmotic potential from the total soil water potential [58] in the SWCC before using GCE to predict SFCCs.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Generalized Clapeyron Equation-Based Model for Capturing the Soil Freezing Characteristics Curve of Saline Soil: Validation by Small Sample Lab and Field Experiments

Wang,

Han

et al. 2024

Water

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The soil freezing characteristic curve (SFCC) describes the relationship between the freezing point and unfrozen water content, which are two critical parameters in depicting the heat, solute, and water transport in frozen soil. In this paper, we propose a novel Generalized Clapeyron Equation (GCE)-based model, the GCE-Salt Model, to better capture the SFCC in frozen soil in the presence of solute. It keeps the matric potential Ψf in the GCE as its original meaning and incorporates the effect of solute potential in the equilibrium freezing temperature. The performance of our GCE-Salt Model was validated by both lab and field experimental data and compared with related models (Combined Model and GCE-Tan Model). The GCE-Salt Model performed exceptionally well in extremely saline soil and it performed well in both non-saline and saline soil. (1) Our GCE-Salt Model could capture the SFCC of non-saline soil equally as well as the Combined Model (NSE = 0.866); (2) our GCE-Salt Model performed similarly well as the Combined Model and a little better than the GCE-Tan Model for the slightly to highly saline soil (NSE ≥ 0.80 for three models); and (3) our GCE-Salt Model (NSE = 0.919) beat the Combined Model (NSE = 0.863) and the GCE-Tan Model (NSE = 0.62) in capturing the SFCC of extremely saline soil, mainly because the inherent expression of our GCE-Salt Model can more accurately capture the freezing point. Our findings highlight the effect of solute potential on the ice–water change and could improve the understanding of the effect of freezing and thawing on the thermal–hydrological processes, structure of saline soil, and landscape evolution in cold regions.

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Section: Lab and Field Experiments 221 Laboratory Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Generalized Clapeyron Equation-Based Model for Capturing the Soil Freezing Characteristics Curve of Saline Soil: Validation by Small Sample Lab and Field Experiments

Wang,

Han

et al. 2024

Water

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Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data

Prihantono

Nakamura

Nadaoka

et al. 2023

Wetlands Ecol Manage

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Soil salinity plays an essential role in the growth of mangroves. Mangroves usually grow in intertidal zones. However, in Karimunjawa National Park (KNP), Indonesia, mangroves are also found in supratidal zones. Thus, this study aims to determine why mangroves can grow in this supratidal zone, even during the dry season. We analyze seasonal changes in groundwater flow and salinity dynamics using the hydraulic head, shallow groundwater salinity, and electrical resistivity imaging (ERI) data. The result shows that variation in groundwater salinity is caused by seawater intrusion, which is generated by a hydraulic gradient due to the sea level being higher than the water table in KNP. Rainfall and evapotranspiration, which change seasonally, likely affect the water table fluctuation and salt concentration. ERI images indicate this seawater intrusion in the top sediment up to the bedrock boundary. However, the resistivity difference in the wet and dry seasons shows that remarkable resistivity change occurs at the deeper layer (50–60 m below ground level (BGL)), likely due to freshwater recharge from rainwater on the land side. Groundwater in the KNP is shallow and saline; thus, mangroves in this zone, e.g., Ceriops tagal and Lumnitzera racemosa, can grow because their roots can reach this groundwater. These mangrove species can still grow in this zone even though the shallow groundwater is very saline (46–50 ppt). However, this condition might cause these mangroves to grow stunted. Thus, freshwater availability is crucial for mangrove growth in this supratidal zone to dilute this high groundwater salinity.

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Estimating distributed autumn irrigation water use in a large irrigation district by combining machine learning with water balance models

Qian,

Qi,

Shang

et al. 2024

Computers and Electronics in Agriculture

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Salt Accumulation during Cropping Season in an Arid Irrigation Area with Shallow Water Table Depth: A 10-Year Regional Monitoring

Cited by 4 publications

References 39 publications

A Novel Generalized Clapeyron Equation-Based Model for Capturing the Soil Freezing Characteristics Curve of Saline Soil: Validation by Small Sample Lab and Field Experiments

A Novel Generalized Clapeyron Equation-Based Model for Capturing the Soil Freezing Characteristics Curve of Saline Soil: Validation by Small Sample Lab and Field Experiments

Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data

Estimating distributed autumn irrigation water use in a large irrigation district by combining machine learning with water balance models

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